From 8abe7a96fcd6b61566754554acda8ffb6830a1c1 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 16:51:19 -0400
Subject: [PATCH 01/14] add elevation and slope properties

---
 docs/notebooks/gis.ipynb | 194 +++++++++++++++++++--------------------
 src/xhydro/gis.py        | 103 +++++++++++++++++++++
 2 files changed, 199 insertions(+), 98 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index af35e0c7..4bbe256d 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -31,6 +31,27 @@
     "from xhydro.indicators import get_yearly_op"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'xhydro.gis' has no attribute 'elevation_properties'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mxhgis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43melevation_properties\u001b[49m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: module 'xhydro.gis' has no attribute 'elevation_properties'"
+     ]
+    }
+   ],
+   "source": [
+    "xhgis.elevation_properties"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -47,13 +68,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "662b6c13c9d946e5bb38e980ccb0ef88",
+       "model_id": "f78388c3bbf14245b832dda302953115",
        "version_major": 2,
        "version_minor": 0
       },
@@ -61,7 +82,7 @@
        "Map(center=[48.63, -74.71], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_…"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -81,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,81 +154,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>HYBAS_ID</th>\n",
-       "      <th>Upstream Area (sq. km).</th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>category</th>\n",
-       "      <th>color</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>7120034330</td>\n",
-       "      <td>87595.8</td>\n",
-       "      <td>POLYGON ((-74.37864 48.88141, -74.37452 48.886...</td>\n",
-       "      <td>3</td>\n",
-       "      <td>#41b6c4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>7120398781</td>\n",
-       "      <td>144026.8</td>\n",
-       "      <td>POLYGON ((-80.07991 46.77860, -80.08529 46.782...</td>\n",
-       "      <td>5</td>\n",
-       "      <td>#081d58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>7120382860</td>\n",
-       "      <td>23717.7</td>\n",
-       "      <td>POLYGON ((-73.77437 43.36757, -73.77557 43.388...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>#ffffd9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     HYBAS_ID  Upstream Area (sq. km).  \\\n",
-       "0  7120034330                  87595.8   \n",
-       "1  7120398781                 144026.8   \n",
-       "2  7120382860                  23717.7   \n",
-       "\n",
-       "                                            geometry  category    color  \n",
-       "0  POLYGON ((-74.37864 48.88141, -74.37452 48.886...         3  #41b6c4  \n",
-       "1  POLYGON ((-80.07991 46.77860, -80.08529 46.782...         5  #081d58  \n",
-       "2  POLYGON ((-73.77437 43.36757, -73.77557 43.388...         1  #ffffd9  "
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "OSError",
+     "evalue": "GZipCodec failed: incorrect data check",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m gdf \u001b[38;5;241m=\u001b[39m \u001b[43mxhgis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwatershed_delineation\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcoordinates\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlng_lat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m gdf\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/xhydro/gis.py:88\u001b[0m, in \u001b[0;36mwatershed_delineation\u001b[0;34m(coordinates, map)\u001b[0m\n\u001b[1;32m     85\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misfile(polygon_path):\n\u001b[1;32m     86\u001b[0m     urllib\u001b[38;5;241m.\u001b[39mrequest\u001b[38;5;241m.\u001b[39murlretrieve(url, polygon_path)\n\u001b[0;32m---> 88\u001b[0m gdf_hydrobasins \u001b[38;5;241m=\u001b[39m \u001b[43mgpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_parquet\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpolygon_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     90\u001b[0m \u001b[38;5;66;03m# compute watershed boundaries\u001b[39;00m\n\u001b[1;32m     91\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m coordinates \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/geopandas/io/arrow.py:604\u001b[0m, in \u001b[0;36m_read_parquet\u001b[0;34m(path, columns, storage_options, **kwargs)\u001b[0m\n\u001b[1;32m    602\u001b[0m path \u001b[38;5;241m=\u001b[39m _expand_user(path)\n\u001b[1;32m    603\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muse_pandas_metadata\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 604\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43mparquet\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_table\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilesystem\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilesystem\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    606\u001b[0m \u001b[38;5;66;03m# read metadata separately to get the raw Parquet FileMetaData metadata\u001b[39;00m\n\u001b[1;32m    607\u001b[0m \u001b[38;5;66;03m# (pyarrow doesn't properly exposes those in schema.metadata for files\u001b[39;00m\n\u001b[1;32m    608\u001b[0m \u001b[38;5;66;03m# created by GDAL - https://issues.apache.org/jira/browse/ARROW-16688)\u001b[39;00m\n\u001b[1;32m    609\u001b[0m metadata \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/parquet/core.py:1811\u001b[0m, in \u001b[0;36mread_table\u001b[0;34m(source, columns, use_threads, schema, use_pandas_metadata, read_dictionary, memory_map, buffer_size, partitioning, filesystem, filters, use_legacy_dataset, ignore_prefixes, pre_buffer, coerce_int96_timestamp_unit, decryption_properties, thrift_string_size_limit, thrift_container_size_limit, page_checksum_verification)\u001b[0m\n\u001b[1;32m   1799\u001b[0m     \u001b[38;5;66;03m# TODO test that source is not a directory or a list\u001b[39;00m\n\u001b[1;32m   1800\u001b[0m     dataset \u001b[38;5;241m=\u001b[39m ParquetFile(\n\u001b[1;32m   1801\u001b[0m         source, read_dictionary\u001b[38;5;241m=\u001b[39mread_dictionary,\n\u001b[1;32m   1802\u001b[0m         memory_map\u001b[38;5;241m=\u001b[39mmemory_map, buffer_size\u001b[38;5;241m=\u001b[39mbuffer_size,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1808\u001b[0m         page_checksum_verification\u001b[38;5;241m=\u001b[39mpage_checksum_verification,\n\u001b[1;32m   1809\u001b[0m     )\n\u001b[0;32m-> 1811\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdataset\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_threads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1812\u001b[0m \u001b[43m                    \u001b[49m\u001b[43muse_pandas_metadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_pandas_metadata\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/parquet/core.py:1454\u001b[0m, in \u001b[0;36mParquetDataset.read\u001b[0;34m(self, columns, use_threads, use_pandas_metadata)\u001b[0m\n\u001b[1;32m   1446\u001b[0m         index_columns \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m   1447\u001b[0m             col \u001b[38;5;28;01mfor\u001b[39;00m col \u001b[38;5;129;01min\u001b[39;00m _get_pandas_index_columns(metadata)\n\u001b[1;32m   1448\u001b[0m             \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(col, \u001b[38;5;28mdict\u001b[39m)\n\u001b[1;32m   1449\u001b[0m         ]\n\u001b[1;32m   1450\u001b[0m         columns \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m   1451\u001b[0m             \u001b[38;5;28mlist\u001b[39m(columns) \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mset\u001b[39m(index_columns) \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mset\u001b[39m(columns))\n\u001b[1;32m   1452\u001b[0m         )\n\u001b[0;32m-> 1454\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dataset\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_table\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1455\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mfilter\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_filter_expression\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1456\u001b[0m \u001b[43m    \u001b[49m\u001b[43muse_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_threads\u001b[49m\n\u001b[1;32m   1457\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1459\u001b[0m \u001b[38;5;66;03m# if use_pandas_metadata, restore the pandas metadata (which gets\u001b[39;00m\n\u001b[1;32m   1460\u001b[0m \u001b[38;5;66;03m# lost if doing a specific `columns` selection in to_table)\u001b[39;00m\n\u001b[1;32m   1461\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_pandas_metadata:\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/_dataset.pyx:562\u001b[0m, in \u001b[0;36mpyarrow._dataset.Dataset.to_table\u001b[0;34m()\u001b[0m\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/_dataset.pyx:3804\u001b[0m, in \u001b[0;36mpyarrow._dataset.Scanner.to_table\u001b[0;34m()\u001b[0m\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/error.pxi:154\u001b[0m, in \u001b[0;36mpyarrow.lib.pyarrow_internal_check_status\u001b[0;34m()\u001b[0m\n",
+      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/error.pxi:91\u001b[0m, in \u001b[0;36mpyarrow.lib.check_status\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mOSError\u001b[0m: GZipCodec failed: incorrect data check"
+     ]
     }
    ],
    "source": [
@@ -224,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -248,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -307,7 +274,7 @@
        "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
       ]
      },
-     "execution_count": 23,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -351,7 +318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -427,7 +394,7 @@
        "2  (-78.37036445281987, 46.48287117609677)  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -445,7 +412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -822,9 +789,9 @@
        "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
        "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
        "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-92e58c6b-6825-40a1-be14-b8d3a4bce986' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92e58c6b-6825-40a1-be14-b8d3a4bce986' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4f5b2d23-b2fb-4f4b-a505-2198e00f59e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f5b2d23-b2fb-4f4b-a505-2198e00f59e5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-e412b74e-0612-48f9-bb47-6bcff06b7f50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e412b74e-0612-48f9-bb47-6bcff06b7f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05150ff2-2e19-45c5-8349-cd86a8ab72ae' class='xr-var-data-in' type='checkbox'><label for='data-05150ff2-2e19-45c5-8349-cd86a8ab72ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c20c8622-4437-4942-9f7b-511307a037a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c20c8622-4437-4942-9f7b-511307a037a1' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-079a3414-51df-4827-af81-c7dce0f66675' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-079a3414-51df-4827-af81-c7dce0f66675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a6405de-2f2d-4bdd-9b3e-92cd6ab2b348' class='xr-var-data-in' type='checkbox'><label for='data-3a6405de-2f2d-4bdd-9b3e-92cd6ab2b348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-a5eea316-e3d1-4a32-948d-96cfd0811f59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5eea316-e3d1-4a32-948d-96cfd0811f59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8582d623-02cc-47a4-9d77-5f830810f743' class='xr-var-data-in' type='checkbox'><label for='data-8582d623-02cc-47a4-9d77-5f830810f743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-3ea715dc-186a-4069-ac8e-1bf78d482de1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ea715dc-186a-4069-ac8e-1bf78d482de1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78f68cff-2289-408e-863d-9ef98b8e3079' class='xr-var-data-in' type='checkbox'><label for='data-78f68cff-2289-408e-863d-9ef98b8e3079' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-686ed39b-8946-4cf3-882b-32bf1859337d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-686ed39b-8946-4cf3-882b-32bf1859337d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68e8be7a-f837-4ea9-acdc-cfd71ee21228' class='xr-var-data-in' type='checkbox'><label for='data-68e8be7a-f837-4ea9-acdc-cfd71ee21228' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' class='xr-var-data-in' type='checkbox'><label for='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' class='xr-var-data-in' type='checkbox'><label for='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51974a9e-8691-4921-a31e-ddd404d715d8' class='xr-var-data-in' type='checkbox'><label for='data-51974a9e-8691-4921-a31e-ddd404d715d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-989948c2-a331-4a7b-8014-8475f234ae18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-989948c2-a331-4a7b-8014-8475f234ae18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' class='xr-var-data-in' type='checkbox'><label for='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12133b1f-08a9-455d-bee4-5ba6650173a1' class='xr-var-data-in' type='checkbox'><label for='data-12133b1f-08a9-455d-bee4-5ba6650173a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
        "       (-72.47966677792694, 46.21359517038631),\n",
-       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6bf1d6f8-17fc-4e29-970c-26084bcfc77a' class='xr-section-summary-in' type='checkbox'  ><label for='section-6bf1d6f8-17fc-4e29-970c-26084bcfc77a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-587eb061-9b4f-4f7c-806b-d5114734d076' class='xr-index-data-in' type='checkbox'/><label for='index-587eb061-9b4f-4f7c-806b-d5114734d076' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f23b3ed9-bdad-427b-ad52-789482584a1a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f23b3ed9-bdad-427b-ad52-789482584a1a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary-in' type='checkbox'  ><label for='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' class='xr-index-data-in' type='checkbox'/><label for='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 120B\n",
@@ -838,7 +805,7 @@
        "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ...."
       ]
      },
-     "execution_count": 25,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -849,6 +816,37 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'xhydro.gis' has no attribute 'elevation_properties'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[32], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mxhgis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43melevation_properties\u001b[49m(gdf)\n",
+      "\u001b[0;31mAttributeError\u001b[0m: module 'xhydro.gis' has no attribute 'elevation_properties'"
+     ]
+    }
+   ],
+   "source": [
+    "xhgis.elevation_properties(gdf)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xhgis.elevation_properties(\n",
+    "    gdf[[\"Station\", \"geometry\"]], output_format='xarray', unique_id='Station')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -859,13 +857,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "54df940baa5e4a08bbb00d204929cf6d",
+       "model_id": "6b6a149ccead450296cc5cf79d7714d9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -970,7 +968,7 @@
        "042103          0.000021                0.000162  3.780111e-07  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -982,12 +980,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1500x750 with 2 Axes>"
       ]
@@ -4244,6 +4242,11 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -4254,12 +4257,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "e28391989cdb8b31df72dd917935faad186df3329a743c813090fc6af977a1ca"
-   }
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index ca76d2ce..ebe44845 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -23,9 +23,15 @@
 from pystac.extensions.item_assets import ItemAssetsExtension
 from pystac.extensions.projection import ProjectionExtension as proj
 from shapely import Point
+import rioxarray
+import xvec
+from xrspatial import slope, aspect
 from tqdm.auto import tqdm
 
+
+
 __all__ = [
+    "elevation_properties",
     "land_use_classification",
     "land_use_plot",
     "watershed_delineation",
@@ -264,6 +270,101 @@ def _recursive_upstream_lookup(
     return all_upstream_indexes
 
 
+def _flatten(x, dim="time"):
+    assert isinstance(x, xr.DataArray)
+    if len(x[dim].values) > len(set(x[dim].values)):
+        x = x.groupby(dim).map(stackstac.mosaic)
+
+    return x
+
+
+def elevation_properties(
+    gdf: gpd.GeoDataFrame,
+    unique_id: str = None,
+    projected_crs: int = 6622,
+    output_format: str = "geopandas",
+    operation: str = "mean",
+    dataset_date: str = '2021-04-22'
+) -> gpd.GeoDataFrame | xr.Dataset:
+    """Elevation properties are calculated 
+
+    The calculated properties are :
+    - elevation (meters)
+    - slope (degrees)
+
+    Parameters
+    ----------
+    gdf : gpd.GeoDataFrame
+        GeoDataFrame containing watershed polygons. Must have a defined .crs attribute.
+    unique_id : str
+        The column name in the GeoDataFrame that serves as a unique identifier.
+    projected_crs : int
+        The projected coordinate reference system (crs) to utilize for calculations, such as determining watershed area.
+    output_format : str
+        One of either `xarray` (or `xr.Dataset`) or `geopandas` (or `gpd.GeoDataFrame`).
+
+    Returns
+    -------
+    gpd.GeoDataFrame or xr.Dataset
+        Output dataset containing the watershed properties.
+    """
+
+    # Geometries are projected to make calculations more accurate
+    projected_gdf = gdf.to_crs(projected_crs)
+
+    collection = 'cop-dem-glo-90'
+    catalog = pystac_client.Client.open(
+        "https://planetarycomputer.microsoft.com/api/stac/v1",
+    )
+
+    search = catalog.search(
+        collections=[collection],
+        bbox=gdf.total_bounds,
+    )
+
+    items = list(search.get_items())
+
+    # Create a mosaic of 
+    da = stackstac.stack(items)
+    da = flatten(da, dim="time") # https://hrodmn.dev/posts/stackstac/#wrangle-the-time-dimension
+    ds = (da
+        .sel(time=dataset_date)
+        .coarsen({"y": 5, "x": 5}, boundary='trim')
+        .mean()
+        .to_dataset(name='elevation')
+        .rio.write_crs("epsg:4326", inplace=True)
+        .rio.reproject(projected_crs)
+        .isel(band=0)
+    )
+
+    # Use Xvec to extract elevation for each geometry in the projected gdf
+    da_elevation= ds.xvec.zonal_stats(
+        projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
+        )['elevation'].squeeze()
+
+    da_slope = slope(ds.elevation)
+
+    # Use Xvec to extract slope for each geometry in the projected gdf
+    da_slope = da_slope.to_dataset(name='slope').xvec.zonal_stats(
+        projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
+        )['slope']
+    
+    output_dataset = xr.merge([da_elevation, da_slope])
+
+    # Add attributes for each variable
+    output_dataset['slope'].attrs = {"units": "percent"}
+    output_dataset['elevation'].attrs = {"units": "meters"}
+
+    if unique_id is not None:
+        output_dataset = output_dataset.assign_coords({unique_id: ('geometry', gdf[unique_id])})
+        output_dataset = output_dataset.swap_dims({'geometry': unique_id})
+
+    if output_format in ("geopandas", "gpd.GeoDataFrame"):
+        output_dataset = output_dataset.drop('geometry').to_dataframe()
+
+    return output_dataset
+
+
 def _merge_stac_dataset(catalog, bbox_of_interest, year):
     search = catalog.search(collections=["io-lulc-9-class"], bbox=bbox_of_interest)
     items = search.item_collection()
@@ -474,3 +575,5 @@ def land_use_plot(
     gdf.to_crs(epsg).boundary.plot(ax=ax, alpha=0.9, color="black")
 
     return fig
+
+

From 7505f5781c21ee9bfe56dccaad8aba0b4bfa34d0 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 3 Jun 2024 20:54:17 +0000
Subject: [PATCH 02/14] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 docs/notebooks/gis.ipynb |  8 ++-----
 src/xhydro/gis.py        | 52 ++++++++++++++++++++--------------------
 2 files changed, 28 insertions(+), 32 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index 4bbe256d..5231a17b 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -844,7 +844,8 @@
    "outputs": [],
    "source": [
     "xhgis.elevation_properties(\n",
-    "    gdf[[\"Station\", \"geometry\"]], output_format='xarray', unique_id='Station')"
+    "    gdf[[\"Station\", \"geometry\"]], output_format=\"xarray\", unique_id=\"Station\"\n",
+    ")"
    ]
   },
   {
@@ -4242,11 +4243,6 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index ebe44845..3c70f357 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -17,18 +17,16 @@
 import pystac_client
 import rasterio
 import rasterio.features
+import rioxarray
 import stackstac
 import xarray as xr
+import xvec
 from matplotlib.colors import ListedColormap
 from pystac.extensions.item_assets import ItemAssetsExtension
 from pystac.extensions.projection import ProjectionExtension as proj
 from shapely import Point
-import rioxarray
-import xvec
-from xrspatial import slope, aspect
 from tqdm.auto import tqdm
-
-
+from xrspatial import aspect, slope
 
 __all__ = [
     "elevation_properties",
@@ -284,9 +282,9 @@ def elevation_properties(
     projected_crs: int = 6622,
     output_format: str = "geopandas",
     operation: str = "mean",
-    dataset_date: str = '2021-04-22'
+    dataset_date: str = "2021-04-22",
 ) -> gpd.GeoDataFrame | xr.Dataset:
-    """Elevation properties are calculated 
+    """Elevation properties are calculated
 
     The calculated properties are :
     - elevation (meters)
@@ -312,7 +310,7 @@ def elevation_properties(
     # Geometries are projected to make calculations more accurate
     projected_gdf = gdf.to_crs(projected_crs)
 
-    collection = 'cop-dem-glo-90'
+    collection = "cop-dem-glo-90"
     catalog = pystac_client.Client.open(
         "https://planetarycomputer.microsoft.com/api/stac/v1",
     )
@@ -324,43 +322,47 @@ def elevation_properties(
 
     items = list(search.get_items())
 
-    # Create a mosaic of 
+    # Create a mosaic of
     da = stackstac.stack(items)
-    da = flatten(da, dim="time") # https://hrodmn.dev/posts/stackstac/#wrangle-the-time-dimension
-    ds = (da
-        .sel(time=dataset_date)
-        .coarsen({"y": 5, "x": 5}, boundary='trim')
+    da = flatten(
+        da, dim="time"
+    )  # https://hrodmn.dev/posts/stackstac/#wrangle-the-time-dimension
+    ds = (
+        da.sel(time=dataset_date)
+        .coarsen({"y": 5, "x": 5}, boundary="trim")
         .mean()
-        .to_dataset(name='elevation')
+        .to_dataset(name="elevation")
         .rio.write_crs("epsg:4326", inplace=True)
         .rio.reproject(projected_crs)
         .isel(band=0)
     )
 
     # Use Xvec to extract elevation for each geometry in the projected gdf
-    da_elevation= ds.xvec.zonal_stats(
+    da_elevation = ds.xvec.zonal_stats(
         projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
-        )['elevation'].squeeze()
+    )["elevation"].squeeze()
 
     da_slope = slope(ds.elevation)
 
     # Use Xvec to extract slope for each geometry in the projected gdf
-    da_slope = da_slope.to_dataset(name='slope').xvec.zonal_stats(
+    da_slope = da_slope.to_dataset(name="slope").xvec.zonal_stats(
         projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
-        )['slope']
-    
+    )["slope"]
+
     output_dataset = xr.merge([da_elevation, da_slope])
 
     # Add attributes for each variable
-    output_dataset['slope'].attrs = {"units": "percent"}
-    output_dataset['elevation'].attrs = {"units": "meters"}
+    output_dataset["slope"].attrs = {"units": "percent"}
+    output_dataset["elevation"].attrs = {"units": "meters"}
 
     if unique_id is not None:
-        output_dataset = output_dataset.assign_coords({unique_id: ('geometry', gdf[unique_id])})
-        output_dataset = output_dataset.swap_dims({'geometry': unique_id})
+        output_dataset = output_dataset.assign_coords(
+            {unique_id: ("geometry", gdf[unique_id])}
+        )
+        output_dataset = output_dataset.swap_dims({"geometry": unique_id})
 
     if output_format in ("geopandas", "gpd.GeoDataFrame"):
-        output_dataset = output_dataset.drop('geometry').to_dataframe()
+        output_dataset = output_dataset.drop("geometry").to_dataframe()
 
     return output_dataset
 
@@ -575,5 +577,3 @@ def land_use_plot(
     gdf.to_crs(epsg).boundary.plot(ax=ax, alpha=0.9, color="black")
 
     return fig
-
-

From 4ae375b6a4ecf87568833e92109df7a04d6f5da5 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 20:30:01 -0400
Subject: [PATCH 03/14] update env and add tests

---
 docs/notebooks/gis.ipynb | 1422 +++++++++++++++++++++++++++++++++-----
 environment-dev.yml      |    5 +-
 environment.yml          |    5 +-
 pyproject.toml           |    5 +-
 src/xhydro/gis.py        |   77 ++-
 tests/test_gis.py        |   64 ++
 6 files changed, 1356 insertions(+), 222 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index 4bbe256d..433eef53 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -31,27 +31,6 @@
     "from xhydro.indicators import get_yearly_op"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "module 'xhydro.gis' has no attribute 'elevation_properties'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mxhgis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43melevation_properties\u001b[49m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: module 'xhydro.gis' has no attribute 'elevation_properties'"
-     ]
-    }
-   ],
-   "source": [
-    "xhgis.elevation_properties"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -74,7 +53,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f78388c3bbf14245b832dda302953115",
+       "model_id": "6d456d4baf214a1187f4a92847931f47",
        "version_major": 2,
        "version_minor": 0
       },
@@ -149,73 +128,1125 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "After selecting points using either approach a) or b), or a combination of both, we can initiate the watershed delineation calculation."
+    "After selecting points using either approach a) or b), or a combination of both, we can initiate the watershed delineation calculation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>HYBAS_ID</th>\n",
+       "      <th>Upstream Area (sq. km).</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>category</th>\n",
+       "      <th>color</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7120034330</td>\n",
+       "      <td>87595.8</td>\n",
+       "      <td>POLYGON ((-74.37864 48.88141, -74.37452 48.886...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>#41b6c4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>7120398781</td>\n",
+       "      <td>144026.8</td>\n",
+       "      <td>POLYGON ((-80.07991 46.77860, -80.08529 46.782...</td>\n",
+       "      <td>5</td>\n",
+       "      <td>#081d58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>7120382860</td>\n",
+       "      <td>23717.7</td>\n",
+       "      <td>POLYGON ((-73.77437 43.36757, -73.77557 43.388...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>#ffffd9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     HYBAS_ID  Upstream Area (sq. km).  \\\n",
+       "0  7120034330                  87595.8   \n",
+       "1  7120398781                 144026.8   \n",
+       "2  7120382860                  23717.7   \n",
+       "\n",
+       "                                            geometry  category    color  \n",
+       "0  POLYGON ((-74.37864 48.88141, -74.37452 48.886...         3  #41b6c4  \n",
+       "1  POLYGON ((-80.07991 46.77860, -80.08529 46.782...         5  #081d58  \n",
+       "2  POLYGON ((-73.77437 43.36757, -73.77557 43.388...         1  #ffffd9  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf = xhgis.watershed_delineation(coordinates=lng_lat, map=m)\n",
+    "gdf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The outcomes are stored in a GeoPandas `gpd.GeoDataFrame` (`gdf`) object, allowing us to save our polygons in various common formats such as an ESRI Shapefile or GeoJSON. If a map ``m`` is present, the polygons will automatically be added to it. If you want to visualize the map, simply type ``m`` in the code cell to render it. If displaying the map directly is not compatible with your notebook interpreter, you can utilize the following code to extract the HTML from the map and plot it:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m.zoom_to_gdf(gdf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### c) From [xdatasets](https://github.com/hydrologie/xdatasets)\n",
+    "\n",
+    "Automatically delineating watershed boundaries is a valuable tool in the toolbox, but users are encouraged to utilize official watershed boundaries if they already exist, instead of creating new ones. This functionality fetches a list of basins from [xdatasets](https://github.com/hydrologie/xdatasets) supported datasets, and upon request, [xdatasets](https://github.com/hydrologie/xdatasets) provides a `gpd.GeoDataFrame` containing the precalculated boundaries for these basins. Currently, the following watershed sources are available as of today.:\n",
+    "\n",
+    "| Source                                                                                                                                                             | Dataset name   |\n",
+    "|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------|\n",
+    "| [DEH](https://www.cehq.gouv.qc.ca/atlas-hydroclimatique/stations-hydrometriques/index.htm)                                                                         | deh_polygons   |\n",
+    "| [HYDAT](https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/national-archive-hydat.html) | hydat_polygons |\n",
+    "| [HQ](https://www.hydroquebec.com/r)                                                                                                                                | hq_polygons    |\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Superficie</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>031501</td>\n",
+       "      <td>21.868620</td>\n",
+       "      <td>POLYGON ((-72.47379 46.23340, -72.46888 46.228...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>031502</td>\n",
+       "      <td>15.708960</td>\n",
+       "      <td>POLYGON ((-72.50127 46.21216, -72.50086 46.213...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>042103</td>\n",
+       "      <td>579.479614</td>\n",
+       "      <td>POLYGON ((-78.49014 46.64514, -78.49010 46.645...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Station  Superficie                                           geometry\n",
+       "0  031501   21.868620  POLYGON ((-72.47379 46.23340, -72.46888 46.228...\n",
+       "1  031502   15.708960  POLYGON ((-72.50127 46.21216, -72.50086 46.213...\n",
+       "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf = xd.Query(\n",
+    "    **{\n",
+    "        \"datasets\": {\n",
+    "            \"deh_polygons\": {\n",
+    "                \"id\": [\"031*\", \"0421*\"],\n",
+    "                \"regulated\": [\"Natural\"],\n",
+    "            }\n",
+    "        }\n",
+    "    }\n",
+    ").data.reset_index()\n",
+    "\n",
+    "gdf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Extract watershed properties"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "After obtaining our watershed boundaries, we can extract valuable properties such as geographical information, land use classification and climatological data from the delineated watersheds."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### a) Geographical watershed properties\n",
+    "Initially, we extract geographical properties of the watershed, including the perimeter, total area, Gravelius coefficient and basin centroid. It's important to note that this function returns all the columns present in the provided `gpd.GeoDataFrame` argument."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Superficie</th>\n",
+       "      <th>area</th>\n",
+       "      <th>perimeter</th>\n",
+       "      <th>gravelius</th>\n",
+       "      <th>centroid</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>031501</td>\n",
+       "      <td>21.868620</td>\n",
+       "      <td>2.186862e+07</td>\n",
+       "      <td>27186.996845</td>\n",
+       "      <td>1.640007</td>\n",
+       "      <td>(-72.48631199105834, 46.22277542928622)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>031502</td>\n",
+       "      <td>15.708960</td>\n",
+       "      <td>1.570896e+07</td>\n",
+       "      <td>20263.293021</td>\n",
+       "      <td>1.442220</td>\n",
+       "      <td>(-72.47966677792694, 46.21359517038631)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>042103</td>\n",
+       "      <td>579.479614</td>\n",
+       "      <td>5.794796e+08</td>\n",
+       "      <td>283765.058390</td>\n",
+       "      <td>3.325331</td>\n",
+       "      <td>(-78.37036445281987, 46.48287117609677)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Station  Superficie          area      perimeter  gravelius  \\\n",
+       "0  031501   21.868620  2.186862e+07   27186.996845   1.640007   \n",
+       "1  031502   15.708960  1.570896e+07   20263.293021   1.442220   \n",
+       "2  042103  579.479614  5.794796e+08  283765.058390   3.325331   \n",
+       "\n",
+       "                                  centroid  \n",
+       "0  (-72.48631199105834, 46.22277542928622)  \n",
+       "1  (-72.47966677792694, 46.21359517038631)  \n",
+       "2  (-78.37036445281987, 46.48287117609677)  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xhgis.watershed_properties(gdf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For added convenience, we can also retrieve the same results in the form of an `xarray.Dataset`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 120B\n",
+       "Dimensions:    (Station: 3)\n",
+       "Coordinates:\n",
+       "  * Station    (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
+       "Data variables:\n",
+       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
+       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
+       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' class='xr-var-data-in' type='checkbox'><label for='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' class='xr-var-data-in' type='checkbox'><label for='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51974a9e-8691-4921-a31e-ddd404d715d8' class='xr-var-data-in' type='checkbox'><label for='data-51974a9e-8691-4921-a31e-ddd404d715d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-989948c2-a331-4a7b-8014-8475f234ae18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-989948c2-a331-4a7b-8014-8475f234ae18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' class='xr-var-data-in' type='checkbox'><label for='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12133b1f-08a9-455d-bee4-5ba6650173a1' class='xr-var-data-in' type='checkbox'><label for='data-12133b1f-08a9-455d-bee4-5ba6650173a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
+       "       (-72.47966677792694, 46.21359517038631),\n",
+       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary-in' type='checkbox'  ><label for='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' class='xr-index-data-in' type='checkbox'/><label for='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 120B\n",
+       "Dimensions:    (Station: 3)\n",
+       "Coordinates:\n",
+       "  * Station    (Station) object 24B '031501' '031502' '042103'\n",
+       "Data variables:\n",
+       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
+       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
+       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ...."
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xhgis.watershed_properties(\n",
+    "    gdf[[\"Station\", \"geometry\"]], unique_id=\"Station\", output_format=\"xarray\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>slope</th>\n",
+       "      <th>aspect</th>\n",
+       "      <th>proj:epsg</th>\n",
+       "      <th>proj:shape</th>\n",
+       "      <th>epsg</th>\n",
+       "      <th>time</th>\n",
+       "      <th>platform</th>\n",
+       "      <th>gsd</th>\n",
+       "      <th>band</th>\n",
+       "      <th>spatial_ref</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>geometry</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>33.573009</td>\n",
+       "      <td>0.324613</td>\n",
+       "      <td>239.025970</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>2021-04-22</td>\n",
+       "      <td>TanDEM-X</td>\n",
+       "      <td>90</td>\n",
+       "      <td>data</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>51.393295</td>\n",
+       "      <td>0.518484</td>\n",
+       "      <td>242.431335</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>2021-04-22</td>\n",
+       "      <td>TanDEM-X</td>\n",
+       "      <td>90</td>\n",
+       "      <td>data</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>358.549866</td>\n",
+       "      <td>2.500644</td>\n",
+       "      <td>178.557648</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>2021-04-22</td>\n",
+       "      <td>TanDEM-X</td>\n",
+       "      <td>90</td>\n",
+       "      <td>data</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           elevation     slope      aspect  proj:epsg proj:shape  epsg  \\\n",
+       "geometry                                                                 \n",
+       "0          33.573009  0.324613  239.025970       4326     {1200}  4326   \n",
+       "1          51.393295  0.518484  242.431335       4326     {1200}  4326   \n",
+       "2         358.549866  2.500644  178.557648       4326     {1200}  4326   \n",
+       "\n",
+       "               time  platform  gsd  band  spatial_ref  \n",
+       "geometry                                               \n",
+       "0        2021-04-22  TanDEM-X   90  data            0  \n",
+       "1        2021-04-22  TanDEM-X   90  data            0  \n",
+       "2        2021-04-22  TanDEM-X   90  data            0  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xhgis.surface_properties(gdf)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "elevation    float64\n",
+       "slope        float32\n",
+       "aspect       float32\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_properties[_properties_name].dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = {\n",
+    "    \"elevation\": {\n",
+    "        \"031501\": 33.57301026813054,\n",
+    "        \"031502\": 51.393294334667644,\n",
+    "        \"042103\": 358.5498543002855,\n",
+    "    },\n",
+    "    \"slope\": {\n",
+    "        \"031501\": 0.32461288571357727,\n",
+    "        \"031502\": 0.5184836387634277,\n",
+    "        \"042103\": 2.5006439685821533,\n",
+    "    },\n",
+    "    \"aspect\": {\n",
+    "        \"031501\": 239.02597045898438,\n",
+    "        \"031502\": 242.43133544921875,\n",
+    "        \"042103\": 178.55764770507812,\n",
+    "    },\n",
+    "}\n",
+    "\n",
+    "df = pd.DataFrame.from_dict(data).astype(\"float32\")\n",
+    "df.index.names = [\"Station\"]\n",
+    "\n",
+    "surface_properties_data = df\n",
+    "\n",
+    "_properties_name = [\"elevation\", \"slope\", \"aspect\"]\n",
+    "unique_id = \"Station\"\n",
+    "\n",
+    "df_properties = xhgis.surface_properties(gdf, unique_id=unique_id)\n",
+    "\n",
+    "pd.testing.assert_frame_equal(\n",
+    "    df_properties[_properties_name],\n",
+    "    surface_properties_data[_properties_name],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>slope</th>\n",
+       "      <th>aspect</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>031501</th>\n",
+       "      <td>33.573009</td>\n",
+       "      <td>0.324613</td>\n",
+       "      <td>239.025970</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>031502</th>\n",
+       "      <td>51.393295</td>\n",
+       "      <td>0.518484</td>\n",
+       "      <td>242.431335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>042103</th>\n",
+       "      <td>358.549866</td>\n",
+       "      <td>2.500644</td>\n",
+       "      <td>178.557648</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          elevation     slope      aspect\n",
+       "Station                                  \n",
+       "031501    33.573009  0.324613  239.025970\n",
+       "031502    51.393295  0.518484  242.431335\n",
+       "042103   358.549866  2.500644  178.557648"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "surface_properties_data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
-     "ename": "OSError",
-     "evalue": "GZipCodec failed: incorrect data check",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m gdf \u001b[38;5;241m=\u001b[39m \u001b[43mxhgis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwatershed_delineation\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcoordinates\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlng_lat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m gdf\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/xhydro/gis.py:88\u001b[0m, in \u001b[0;36mwatershed_delineation\u001b[0;34m(coordinates, map)\u001b[0m\n\u001b[1;32m     85\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misfile(polygon_path):\n\u001b[1;32m     86\u001b[0m     urllib\u001b[38;5;241m.\u001b[39mrequest\u001b[38;5;241m.\u001b[39murlretrieve(url, polygon_path)\n\u001b[0;32m---> 88\u001b[0m gdf_hydrobasins \u001b[38;5;241m=\u001b[39m \u001b[43mgpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_parquet\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpolygon_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     90\u001b[0m \u001b[38;5;66;03m# compute watershed boundaries\u001b[39;00m\n\u001b[1;32m     91\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m coordinates \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/geopandas/io/arrow.py:604\u001b[0m, in \u001b[0;36m_read_parquet\u001b[0;34m(path, columns, storage_options, **kwargs)\u001b[0m\n\u001b[1;32m    602\u001b[0m path \u001b[38;5;241m=\u001b[39m _expand_user(path)\n\u001b[1;32m    603\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muse_pandas_metadata\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 604\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43mparquet\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_table\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilesystem\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilesystem\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    606\u001b[0m \u001b[38;5;66;03m# read metadata separately to get the raw Parquet FileMetaData metadata\u001b[39;00m\n\u001b[1;32m    607\u001b[0m \u001b[38;5;66;03m# (pyarrow doesn't properly exposes those in schema.metadata for files\u001b[39;00m\n\u001b[1;32m    608\u001b[0m \u001b[38;5;66;03m# created by GDAL - https://issues.apache.org/jira/browse/ARROW-16688)\u001b[39;00m\n\u001b[1;32m    609\u001b[0m metadata \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/parquet/core.py:1811\u001b[0m, in \u001b[0;36mread_table\u001b[0;34m(source, columns, use_threads, schema, use_pandas_metadata, read_dictionary, memory_map, buffer_size, partitioning, filesystem, filters, use_legacy_dataset, ignore_prefixes, pre_buffer, coerce_int96_timestamp_unit, decryption_properties, thrift_string_size_limit, thrift_container_size_limit, page_checksum_verification)\u001b[0m\n\u001b[1;32m   1799\u001b[0m     \u001b[38;5;66;03m# TODO test that source is not a directory or a list\u001b[39;00m\n\u001b[1;32m   1800\u001b[0m     dataset \u001b[38;5;241m=\u001b[39m ParquetFile(\n\u001b[1;32m   1801\u001b[0m         source, read_dictionary\u001b[38;5;241m=\u001b[39mread_dictionary,\n\u001b[1;32m   1802\u001b[0m         memory_map\u001b[38;5;241m=\u001b[39mmemory_map, buffer_size\u001b[38;5;241m=\u001b[39mbuffer_size,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1808\u001b[0m         page_checksum_verification\u001b[38;5;241m=\u001b[39mpage_checksum_verification,\n\u001b[1;32m   1809\u001b[0m     )\n\u001b[0;32m-> 1811\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdataset\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_threads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1812\u001b[0m \u001b[43m                    \u001b[49m\u001b[43muse_pandas_metadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_pandas_metadata\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/parquet/core.py:1454\u001b[0m, in \u001b[0;36mParquetDataset.read\u001b[0;34m(self, columns, use_threads, use_pandas_metadata)\u001b[0m\n\u001b[1;32m   1446\u001b[0m         index_columns \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m   1447\u001b[0m             col \u001b[38;5;28;01mfor\u001b[39;00m col \u001b[38;5;129;01min\u001b[39;00m _get_pandas_index_columns(metadata)\n\u001b[1;32m   1448\u001b[0m             \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(col, \u001b[38;5;28mdict\u001b[39m)\n\u001b[1;32m   1449\u001b[0m         ]\n\u001b[1;32m   1450\u001b[0m         columns \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m   1451\u001b[0m             \u001b[38;5;28mlist\u001b[39m(columns) \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mset\u001b[39m(index_columns) \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mset\u001b[39m(columns))\n\u001b[1;32m   1452\u001b[0m         )\n\u001b[0;32m-> 1454\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dataset\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_table\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1455\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mfilter\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_filter_expression\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1456\u001b[0m \u001b[43m    \u001b[49m\u001b[43muse_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_threads\u001b[49m\n\u001b[1;32m   1457\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1459\u001b[0m \u001b[38;5;66;03m# if use_pandas_metadata, restore the pandas metadata (which gets\u001b[39;00m\n\u001b[1;32m   1460\u001b[0m \u001b[38;5;66;03m# lost if doing a specific `columns` selection in to_table)\u001b[39;00m\n\u001b[1;32m   1461\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_pandas_metadata:\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/_dataset.pyx:562\u001b[0m, in \u001b[0;36mpyarrow._dataset.Dataset.to_table\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/_dataset.pyx:3804\u001b[0m, in \u001b[0;36mpyarrow._dataset.Scanner.to_table\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/error.pxi:154\u001b[0m, in \u001b[0;36mpyarrow.lib.pyarrow_internal_check_status\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32m~/mambaforge/envs/xhydro-dev/lib/python3.12/site-packages/pyarrow/error.pxi:91\u001b[0m, in \u001b[0;36mpyarrow.lib.check_status\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mOSError\u001b[0m: GZipCodec failed: incorrect data check"
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>slope</th>\n",
+       "      <th>aspect</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>031501</th>\n",
+       "      <td>33.573009</td>\n",
+       "      <td>0.324613</td>\n",
+       "      <td>239.025970</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>031502</th>\n",
+       "      <td>51.393295</td>\n",
+       "      <td>0.518484</td>\n",
+       "      <td>242.431335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>042103</th>\n",
+       "      <td>358.549866</td>\n",
+       "      <td>2.500644</td>\n",
+       "      <td>178.557648</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          elevation     slope      aspect\n",
+       "Station                                  \n",
+       "031501    33.573009  0.324613  239.025970\n",
+       "031502    51.393295  0.518484  242.431335\n",
+       "042103   358.549866  2.500644  178.557648"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "gdf = xhgis.watershed_delineation(coordinates=lng_lat, map=m)\n",
-    "gdf"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The outcomes are stored in a GeoPandas `gpd.GeoDataFrame` (`gdf`) object, allowing us to save our polygons in various common formats such as an ESRI Shapefile or GeoJSON. If a map ``m`` is present, the polygons will automatically be added to it. If you want to visualize the map, simply type ``m`` in the code cell to render it. If displaying the map directly is not compatible with your notebook interpreter, you can utilize the following code to extract the HTML from the map and plot it:"
+    "df_properties[_properties_name]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "m.zoom_to_gdf(gdf)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
+   "execution_count": 4,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    elevation     slope      aspect\n",
+      "0   33.573009  0.324613  239.025970\n",
+      "1   51.393295  0.518484  242.431335\n",
+      "2  358.549866  2.500644  178.557648\n",
+      "    elevation     slope      aspect\n",
+      "0   33.573009  0.324613  239.025970\n",
+      "1   51.393295  0.518484  242.431335\n",
+      "2  358.549866  2.500644  178.557648\n"
+     ]
+    }
+   ],
    "source": [
-    "### c) From [xdatasets](https://github.com/hydrologie/xdatasets)\n",
+    "data = {\n",
+    "    \"elevation\": {\n",
+    "        \"031501\": 33.57301026813054,\n",
+    "        \"031502\": 51.393294334667644,\n",
+    "        \"042103\": 358.5498543002855,\n",
+    "    },\n",
+    "    \"slope\": {\n",
+    "        \"031501\": 0.32461288571357727,\n",
+    "        \"031502\": 0.5184836387634277,\n",
+    "        \"042103\": 2.5006439685821533,\n",
+    "    },\n",
+    "    \"aspect\": {\n",
+    "        \"031501\": 239.02597045898438,\n",
+    "        \"031502\": 242.43133544921875,\n",
+    "        \"042103\": 178.55764770507812,\n",
+    "    },\n",
+    "}\n",
     "\n",
-    "Automatically delineating watershed boundaries is a valuable tool in the toolbox, but users are encouraged to utilize official watershed boundaries if they already exist, instead of creating new ones. This functionality fetches a list of basins from [xdatasets](https://github.com/hydrologie/xdatasets) supported datasets, and upon request, [xdatasets](https://github.com/hydrologie/xdatasets) provides a `gpd.GeoDataFrame` containing the precalculated boundaries for these basins. Currently, the following watershed sources are available as of today.:\n",
+    "df = pd.DataFrame.from_dict(data).astype(\"float32\")\n",
+    "df.index.names = [\"geometry\"]\n",
     "\n",
-    "| Source                                                                                                                                                             | Dataset name   |\n",
-    "|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------|\n",
-    "| [DEH](https://www.cehq.gouv.qc.ca/atlas-hydroclimatique/stations-hydrometriques/index.htm)                                                                         | deh_polygons   |\n",
-    "| [HYDAT](https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/national-archive-hydat.html) | hydat_polygons |\n",
-    "| [HQ](https://www.hydroquebec.com/r)                                                                                                                                | hq_polygons    |\n"
+    "_properties_name = [\"elevation\", \"slope\", \"aspect\"]\n",
+    "\n",
+    "df_properties = xhgis.surface_properties(gdf)\n",
+    "df_properties.index.name = None\n",
+    "\n",
+    "print(df_properties[_properties_name])\n",
+    "print(df.reset_index(drop=True)[_properties_name])\n",
+    "\n",
+    "pd.testing.assert_frame_equal(\n",
+    "    df_properties[_properties_name], df.reset_index(drop=True)[_properties_name]\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -239,86 +1270,57 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Station</th>\n",
-       "      <th>Superficie</th>\n",
-       "      <th>geometry</th>\n",
+       "      <th>index</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>slope</th>\n",
+       "      <th>aspect</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>031501</td>\n",
-       "      <td>21.868620</td>\n",
-       "      <td>POLYGON ((-72.47379 46.23340, -72.46888 46.228...</td>\n",
+       "      <td>33.573010</td>\n",
+       "      <td>0.324613</td>\n",
+       "      <td>239.025970</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>031502</td>\n",
-       "      <td>15.708960</td>\n",
-       "      <td>POLYGON ((-72.50127 46.21216, -72.50086 46.213...</td>\n",
+       "      <td>51.393294</td>\n",
+       "      <td>0.518484</td>\n",
+       "      <td>242.431335</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>042103</td>\n",
-       "      <td>579.479614</td>\n",
-       "      <td>POLYGON ((-78.49014 46.64514, -78.49010 46.645...</td>\n",
+       "      <td>358.549854</td>\n",
+       "      <td>2.500644</td>\n",
+       "      <td>178.557648</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "  Station  Superficie                                           geometry\n",
-       "0  031501   21.868620  POLYGON ((-72.47379 46.23340, -72.46888 46.228...\n",
-       "1  031502   15.708960  POLYGON ((-72.50127 46.21216, -72.50086 46.213...\n",
-       "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
+       "    index   elevation     slope      aspect\n",
+       "0  031501   33.573010  0.324613  239.025970\n",
+       "1  031502   51.393294  0.518484  242.431335\n",
+       "2  042103  358.549854  2.500644  178.557648"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "gdf = xd.Query(\n",
-    "    **{\n",
-    "        \"datasets\": {\n",
-    "            \"deh_polygons\": {\n",
-    "                \"id\": [\"031*\", \"0421*\"],\n",
-    "                \"regulated\": [\"Natural\"],\n",
-    "            }\n",
-    "        }\n",
-    "    }\n",
-    ").data.reset_index()\n",
-    "\n",
-    "gdf"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Extract watershed properties"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "After obtaining our watershed boundaries, we can extract valuable properties such as geographical information, land use classification and climatological data from the delineated watersheds."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### a) Geographical watershed properties\n",
-    "Initially, we extract geographical properties of the watershed, including the perimeter, total area, Gravelius coefficient and basin centroid. It's important to note that this function returns all the columns present in the provided `gpd.GeoDataFrame` argument."
+    "df.reset_index()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -342,8 +1344,6 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Station</th>\n",
-       "      <th>Superficie</th>\n",
        "      <th>area</th>\n",
        "      <th>perimeter</th>\n",
        "      <th>gravelius</th>\n",
@@ -353,8 +1353,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>031501</td>\n",
-       "      <td>21.868620</td>\n",
        "      <td>2.186862e+07</td>\n",
        "      <td>27186.996845</td>\n",
        "      <td>1.640007</td>\n",
@@ -362,8 +1360,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>031502</td>\n",
-       "      <td>15.708960</td>\n",
        "      <td>1.570896e+07</td>\n",
        "      <td>20263.293021</td>\n",
        "      <td>1.442220</td>\n",
@@ -371,8 +1367,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>042103</td>\n",
-       "      <td>579.479614</td>\n",
        "      <td>5.794796e+08</td>\n",
        "      <td>283765.058390</td>\n",
        "      <td>3.325331</td>\n",
@@ -383,10 +1377,10 @@
        "</div>"
       ],
       "text/plain": [
-       "  Station  Superficie          area      perimeter  gravelius  \\\n",
-       "0  031501   21.868620  2.186862e+07   27186.996845   1.640007   \n",
-       "1  031502   15.708960  1.570896e+07   20263.293021   1.442220   \n",
-       "2  042103  579.479614  5.794796e+08  283765.058390   3.325331   \n",
+       "           area      perimeter  gravelius  \\\n",
+       "0  2.186862e+07   27186.996845   1.640007   \n",
+       "1  1.570896e+07   20263.293021   1.442220   \n",
+       "2  5.794796e+08  283765.058390   3.325331   \n",
        "\n",
        "                                  centroid  \n",
        "0  (-72.48631199105834, 46.22277542928622)  \n",
@@ -394,25 +1388,88 @@
        "2  (-78.37036445281987, 46.48287117609677)  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "xhgis.watershed_properties(gdf)"
+    "df_properties[_properties_name]"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 16,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>area</th>\n",
+       "      <th>perimeter</th>\n",
+       "      <th>gravelius</th>\n",
+       "      <th>centroid</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.186862e+07</td>\n",
+       "      <td>27186.996845</td>\n",
+       "      <td>1.640007</td>\n",
+       "      <td>(-72.48631199105834, 46.22277542928622)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5.794796e+08</td>\n",
+       "      <td>283765.058390</td>\n",
+       "      <td>3.325331</td>\n",
+       "      <td>(-78.37036445281987, 46.48287117609677)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           area      perimeter  gravelius  \\\n",
+       "0  2.186862e+07   27186.996845   1.640007   \n",
+       "1  5.794796e+08  283765.058390   3.325331   \n",
+       "\n",
+       "                                  centroid  \n",
+       "0  (-72.48631199105834, 46.22277542928622)  \n",
+       "1  (-78.37036445281987, 46.48287117609677)  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "For added convenience, we can also retrieve the same results in the form of an `xarray.Dataset`:"
+    "df[_properties_name]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -781,72 +1838,66 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 120B\n",
-       "Dimensions:    (Station: 3)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 192B\n",
+       "Dimensions:      (Station: 3)\n",
        "Coordinates:\n",
-       "  * Station    (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
+       "    platform     &lt;U8 32B &#x27;TanDEM-X&#x27;\n",
+       "    proj:epsg    int64 8B 4326\n",
+       "    gsd          int64 8B 90\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
+       "    proj:shape   object 8B {1200}\n",
+       "    band         &lt;U4 16B &#x27;data&#x27;\n",
+       "    epsg         int64 8B 4326\n",
+       "    spatial_ref  int64 8B 0\n",
+       "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
+       "  * Station      (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
        "Data variables:\n",
-       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
-       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
-       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' class='xr-var-data-in' type='checkbox'><label for='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' class='xr-var-data-in' type='checkbox'><label for='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51974a9e-8691-4921-a31e-ddd404d715d8' class='xr-var-data-in' type='checkbox'><label for='data-51974a9e-8691-4921-a31e-ddd404d715d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-989948c2-a331-4a7b-8014-8475f234ae18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-989948c2-a331-4a7b-8014-8475f234ae18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' class='xr-var-data-in' type='checkbox'><label for='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12133b1f-08a9-455d-bee4-5ba6650173a1' class='xr-var-data-in' type='checkbox'><label for='data-12133b1f-08a9-455d-bee4-5ba6650173a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
-       "       (-72.47966677792694, 46.21359517038631),\n",
-       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary-in' type='checkbox'  ><label for='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' class='xr-index-data-in' type='checkbox'/><label for='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "    elevation    (Station) float64 24B 33.57 51.39 358.5\n",
+       "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
+       "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
+       "Attributes:\n",
+       "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
+       "    resolution:  0.0008333333333333334\n",
+       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-71a7467e-0107-4144-8211-5ce0b07d5713' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-71a7467e-0107-4144-8211-5ce0b07d5713' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5c254b57-8912-4769-9563-9508a1cfbf13' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c254b57-8912-4769-9563-9508a1cfbf13' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-b0e0522b-67eb-4524-b1b4-52a440dd30a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0e0522b-67eb-4524-b1b4-52a440dd30a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-775d651b-f2bb-4564-b2cc-9fd1e510a27e' class='xr-var-data-in' type='checkbox'><label for='data-775d651b-f2bb-4564-b2cc-9fd1e510a27e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-68f1e312-62f3-4766-a23d-a9694fdf490f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68f1e312-62f3-4766-a23d-a9694fdf490f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aec26947-03d2-49f8-b597-c0d6cd01f811' class='xr-var-data-in' type='checkbox'><label for='data-aec26947-03d2-49f8-b597-c0d6cd01f811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-647f0d83-8c73-4ff4-af86-5fcd891e57fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-647f0d83-8c73-4ff4-af86-5fcd891e57fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4015d9bd-021c-48a6-bae4-5e79ccda1b2b' class='xr-var-data-in' type='checkbox'><label for='data-4015d9bd-021c-48a6-bae4-5e79ccda1b2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-22e642a4-e189-4740-8023-5942ee5b1302' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22e642a4-e189-4740-8023-5942ee5b1302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b86b04fa-602d-4b47-9c26-00226a9e8d93' class='xr-var-data-in' type='checkbox'><label for='data-b86b04fa-602d-4b47-9c26-00226a9e8d93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-6e16b336-8f77-470c-8df0-62a20a6d6ba4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e16b336-8f77-470c-8df0-62a20a6d6ba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc183188-df1a-4838-9980-38b8049d7d53' class='xr-var-data-in' type='checkbox'><label for='data-bc183188-df1a-4838-9980-38b8049d7d53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-d1e996f5-139c-4d5b-9c77-5e7d273fecf3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1e996f5-139c-4d5b-9c77-5e7d273fecf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5885dc-9c0a-4dfc-8997-29e125b3c0eb' class='xr-var-data-in' type='checkbox'><label for='data-4d5885dc-9c0a-4dfc-8997-29e125b3c0eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-ea6df51f-7533-46ea-8405-66cf4428d1f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea6df51f-7533-46ea-8405-66cf4428d1f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec7bf2da-0da7-48e6-b001-edd2e049caed' class='xr-var-data-in' type='checkbox'><label for='data-ec7bf2da-0da7-48e6-b001-edd2e049caed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-c916f41c-cb3b-40f6-960a-a85474fc7664' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c916f41c-cb3b-40f6-960a-a85474fc7664' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69855fba-09e7-406f-b682-bb9cf829eb83' class='xr-var-data-in' type='checkbox'><label for='data-69855fba-09e7-406f-b682-bb9cf829eb83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-b061d574-0d4d-41ce-9866-e29061f68865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b061d574-0d4d-41ce-9866-e29061f68865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99ca9876-b60a-4ebf-97ae-4047c66bdabf' class='xr-var-data-in' type='checkbox'><label for='data-99ca9876-b60a-4ebf-97ae-4047c66bdabf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
+       "       &lt;POLYGON ((-308472.061 254960.004, -308435.028 255062.648, -308413.285 25520...&gt;,\n",
+       "       &lt;POLYGON ((-761385.594 347655.489, -761383.379 347649.173, -761390.035 34763...&gt;],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-844ab3f1-208b-4c5f-83e0-46801deda2c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-844ab3f1-208b-4c5f-83e0-46801deda2c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e335a5c8-1465-46ae-a7c4-324ffbd428be' class='xr-var-data-in' type='checkbox'><label for='data-e335a5c8-1465-46ae-a7c4-324ffbd428be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62958755-c9e0-4c93-8a8d-9159035d3d01' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62958755-c9e0-4c93-8a8d-9159035d3d01' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-1d6e5926-b3d4-4382-9b8a-1ebdf02ea7de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d6e5926-b3d4-4382-9b8a-1ebdf02ea7de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c805a251-d5b3-4418-8936-062db54e9537' class='xr-var-data-in' type='checkbox'><label for='data-c805a251-d5b3-4418-8936-062db54e9537' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301027,  51.39329433, 358.5498543 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-33754b87-c8d4-4116-8f1b-a063ecb63adc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33754b87-c8d4-4116-8f1b-a063ecb63adc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09b6fdcf-a54e-4cad-a06e-7e55192129db' class='xr-var-data-in' type='checkbox'><label for='data-09b6fdcf-a54e-4cad-a06e-7e55192129db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-a933fff5-77e5-405e-b43b-956897656d06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a933fff5-77e5-405e-b43b-956897656d06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1a96a8f-3e27-4692-a6ea-8ed5b4722f6e' class='xr-var-data-in' type='checkbox'><label for='data-e1a96a8f-3e27-4692-a6ea-8ed5b4722f6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6677ab48-3bc8-4611-9497-6437c83b9b75' class='xr-section-summary-in' type='checkbox'  ><label for='section-6677ab48-3bc8-4611-9497-6437c83b9b75' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0cb8c575-3f6a-43cf-bfa7-b44c38ec15e1' class='xr-index-data-in' type='checkbox'/><label for='index-0cb8c575-3f6a-43cf-bfa7-b44c38ec15e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70ec8b9c-8aa4-4924-bd5c-c7bcf5c4ddc0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70ec8b9c-8aa4-4924-bd5c-c7bcf5c4ddc0' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 120B\n",
-       "Dimensions:    (Station: 3)\n",
+       "<xarray.Dataset> Size: 192B\n",
+       "Dimensions:      (Station: 3)\n",
        "Coordinates:\n",
-       "  * Station    (Station) object 24B '031501' '031502' '042103'\n",
+       "    platform     <U8 32B 'TanDEM-X'\n",
+       "    proj:epsg    int64 8B 4326\n",
+       "    gsd          int64 8B 90\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
+       "    proj:shape   object 8B {1200}\n",
+       "    band         <U4 16B 'data'\n",
+       "    epsg         int64 8B 4326\n",
+       "    spatial_ref  int64 8B 0\n",
+       "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
+       "  * Station      (Station) object 24B '031501' '031502' '042103'\n",
        "Data variables:\n",
-       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
-       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
-       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ...."
+       "    elevation    (Station) float64 24B 33.57 51.39 358.5\n",
+       "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
+       "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
+       "Attributes:\n",
+       "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
+       "    resolution:  0.0008333333333333334\n",
+       "    _FillValue:  1.7976931348623157e+308"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "xhgis.watershed_properties(\n",
-    "    gdf[[\"Station\", \"geometry\"]], unique_id=\"Station\", output_format=\"xarray\"\n",
+    "xhgis.surface_properties(\n",
+    "    gdf[[\"Station\", \"geometry\"]], output_format=\"xarray\", unique_id=\"Station\"\n",
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "module 'xhydro.gis' has no attribute 'elevation_properties'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[32], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mxhgis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43melevation_properties\u001b[49m(gdf)\n",
-      "\u001b[0;31mAttributeError\u001b[0m: module 'xhydro.gis' has no attribute 'elevation_properties'"
-     ]
-    }
-   ],
-   "source": [
-    "xhgis.elevation_properties(gdf)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "xhgis.elevation_properties(\n",
-    "    gdf[[\"Station\", \"geometry\"]], output_format='xarray', unique_id='Station')"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -4242,11 +5293,6 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
diff --git a/environment-dev.yml b/environment-dev.yml
index ab00d1ec..78754970 100644
--- a/environment-dev.yml
+++ b/environment-dev.yml
@@ -19,14 +19,17 @@ dependencies:
   - pydantic >=2.0,<2.5.3  # FIXME: Remove pin once our dependencies (xclim, xscen) support pydantic 2.5.3
   - pyyaml
   - rasterio
+  - ravenpy
+  - rioxarray
   - spotpy
   - stackstac
   - statsmodels
-  - ravenpy
   - tqdm
   - xarray >=2023.11.0
+  - xarray-spatial
   - xclim >=0.48.2
   - xscen >=0.8.3
+  - xvec
   - pip >=23.3.0
   - pip:
     - xdatasets >=0.3.5
diff --git a/environment.yml b/environment.yml
index d6f7a611..695b55b3 100644
--- a/environment.yml
+++ b/environment.yml
@@ -19,14 +19,17 @@ dependencies:
   - pystac-client
   - pyyaml
   - rasterio
+  - ravenpy
+  - rioxarray
   - spotpy
   - stackstac
   - statsmodels
-  - ravenpy
   - tqdm
   - xarray >=2023.11.0
+  - xarray-spatial
   - xclim >=0.48.2
   - xscen >=0.8.3
+  - xvec
   - pip >=23.3.0
   - pip:
     - xdatasets >=0.3.5
diff --git a/pyproject.toml b/pyproject.toml
index 9886b903..6fa47df4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -53,14 +53,17 @@ dependencies = [
   "pyyaml",
   "rasterio",
   "ravenpy",
+  "rioxarray",
   "spotpy",
   "stackstac",
   "statsmodels",
   "tqdm",
   "xarray>=2023.11.0",
+  "xarray-spatial",
   "xclim>=0.48.2",
   "xdatasets>=0.3.5",
-  "xscen>=0.8.3"
+  "xscen>=0.8.3",
+  "xvec"
 ]
 
 [project.optional-dependencies]
diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index ebe44845..4ec36c25 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -17,23 +17,21 @@
 import pystac_client
 import rasterio
 import rasterio.features
+import rioxarray  # noqa: F401
 import stackstac
 import xarray as xr
+import xvec  # noqa: F401
 from matplotlib.colors import ListedColormap
 from pystac.extensions.item_assets import ItemAssetsExtension
 from pystac.extensions.projection import ProjectionExtension as proj
 from shapely import Point
-import rioxarray
-import xvec
-from xrspatial import slope, aspect
 from tqdm.auto import tqdm
-
-
+from xrspatial import aspect, slope
 
 __all__ = [
-    "elevation_properties",
     "land_use_classification",
     "land_use_plot",
+    "surface_properties",
     "watershed_delineation",
     "watershed_properties",
 ]
@@ -278,19 +276,23 @@ def _flatten(x, dim="time"):
     return x
 
 
-def elevation_properties(
+def surface_properties(
     gdf: gpd.GeoDataFrame,
     unique_id: str = None,
     projected_crs: int = 6622,
     output_format: str = "geopandas",
     operation: str = "mean",
-    dataset_date: str = '2021-04-22'
+    dataset_date: str = "2021-04-22",
 ) -> gpd.GeoDataFrame | xr.Dataset:
-    """Elevation properties are calculated 
+    """Surface properties for watersheds.
+
+    Surface properties are calculated using Copernicus's GLO-90 Digital Elevation Model. By default, the dataset
+    has a geographic coordinate system (EPSG: 4326) and this function expects a projected crs for more accurate results.
 
     The calculated properties are :
     - elevation (meters)
     - slope (degrees)
+    - aspect ratio (degrees)
 
     Parameters
     ----------
@@ -302,17 +304,20 @@ def elevation_properties(
         The projected coordinate reference system (crs) to utilize for calculations, such as determining watershed area.
     output_format : str
         One of either `xarray` (or `xr.Dataset`) or `geopandas` (or `gpd.GeoDataFrame`).
+    operation : str
+        Aggregation statistics such as `mean` or `sum`.
+    dataset_date : str
+        Date (%Y-%m-%d) for which to select the imagery from the dataset. Date must be available.
 
     Returns
     -------
     gpd.GeoDataFrame or xr.Dataset
-        Output dataset containing the watershed properties.
+        Output dataset containing the surface properties.
     """
-
     # Geometries are projected to make calculations more accurate
     projected_gdf = gdf.to_crs(projected_crs)
 
-    collection = 'cop-dem-glo-90'
+    collection = "cop-dem-glo-90"
     catalog = pystac_client.Client.open(
         "https://planetarycomputer.microsoft.com/api/stac/v1",
     )
@@ -324,43 +329,55 @@ def elevation_properties(
 
     items = list(search.get_items())
 
-    # Create a mosaic of 
+    # Create a mosaic of
     da = stackstac.stack(items)
-    da = flatten(da, dim="time") # https://hrodmn.dev/posts/stackstac/#wrangle-the-time-dimension
-    ds = (da
-        .sel(time=dataset_date)
-        .coarsen({"y": 5, "x": 5}, boundary='trim')
+    da = _flatten(
+        da, dim="time"
+    )  # https://hrodmn.dev/posts/stackstac/#wrangle-the-time-dimension
+    ds = (
+        da.sel(time=dataset_date)
+        .coarsen({"y": 5, "x": 5}, boundary="trim")
         .mean()
-        .to_dataset(name='elevation')
+        .to_dataset(name="elevation")
         .rio.write_crs("epsg:4326", inplace=True)
         .rio.reproject(projected_crs)
         .isel(band=0)
     )
 
     # Use Xvec to extract elevation for each geometry in the projected gdf
-    da_elevation= ds.xvec.zonal_stats(
+    da_elevation = ds.xvec.zonal_stats(
         projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
-        )['elevation'].squeeze()
+    )["elevation"].squeeze()
 
     da_slope = slope(ds.elevation)
 
     # Use Xvec to extract slope for each geometry in the projected gdf
-    da_slope = da_slope.to_dataset(name='slope').xvec.zonal_stats(
+    da_slope = da_slope.to_dataset(name="slope").xvec.zonal_stats(
+        projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
+    )["slope"]
+
+    da_aspect = aspect(ds.elevation)
+
+    # Use Xvec to extract aspect for each geometry in the projected gdf
+    da_aspect = da_aspect.to_dataset(name="aspect").xvec.zonal_stats(
         projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
-        )['slope']
-    
-    output_dataset = xr.merge([da_elevation, da_slope])
+    )["aspect"]
+
+    output_dataset = xr.merge([da_elevation, da_slope, da_aspect]).astype("float32")
 
     # Add attributes for each variable
-    output_dataset['slope'].attrs = {"units": "percent"}
-    output_dataset['elevation'].attrs = {"units": "meters"}
+    output_dataset["slope"].attrs = {"units": "degrees"}
+    output_dataset["aspect"].attrs = {"units": "degrees"}
+    output_dataset["elevation"].attrs = {"units": "m"}
 
     if unique_id is not None:
-        output_dataset = output_dataset.assign_coords({unique_id: ('geometry', gdf[unique_id])})
-        output_dataset = output_dataset.swap_dims({'geometry': unique_id})
+        output_dataset = output_dataset.assign_coords(
+            {unique_id: ("geometry", gdf[unique_id])}
+        )
+        output_dataset = output_dataset.swap_dims({"geometry": unique_id})
 
     if output_format in ("geopandas", "gpd.GeoDataFrame"):
-        output_dataset = output_dataset.drop('geometry').to_dataframe()
+        output_dataset = output_dataset.drop("geometry").to_dataframe()
 
     return output_dataset
 
@@ -575,5 +592,3 @@ def land_use_plot(
     gdf.to_crs(epsg).boundary.plot(ax=ax, alpha=0.9, color="black")
 
     return fig
-
-
diff --git a/tests/test_gis.py b/tests/test_gis.py
index 146773bd..28b6b55e 100644
--- a/tests/test_gis.py
+++ b/tests/test_gis.py
@@ -123,6 +123,70 @@ def test_watershed_properties_xarray(self, watershed_properties_data):
 
         xr.testing.assert_allclose(ds_properties, output_dataset)
 
+    @pytest.fixture
+    def surface_properties_data(self):
+        data = {
+            "elevation": {
+                "031501": 33.57301026813054,
+                "031502": 51.393294334667644,
+                "042103": 358.5498543002855,
+            },
+            "slope": {
+                "031501": 0.32461288571357727,
+                "031502": 0.5184836387634277,
+                "042103": 2.5006439685821533,
+            },
+            "aspect": {
+                "031501": 239.02597045898438,
+                "031502": 242.43133544921875,
+                "042103": 178.55764770507812,
+            },
+        }
+
+        df = pd.DataFrame.from_dict(data).astype("float32")
+        df.index.names = ["Station"]
+        return df
+
+    def test_surface_properties(self, surface_properties_data):
+        _properties_name = ["elevation", "slope", "aspect"]
+
+        df_properties = xh.gis.surface_properties(self.gdf)
+        df_properties.index.name = None
+
+        pd.testing.assert_frame_equal(
+            df_properties[_properties_name],
+            surface_properties_data.reset_index(drop=True)[_properties_name],
+        )
+
+    def test_surface_properties_unique_id(self, surface_properties_data):
+        _properties_name = ["elevation", "slope", "aspect"]
+        unique_id = "Station"
+
+        df_properties = xh.gis.surface_properties(self.gdf, unique_id=unique_id)
+
+        pd.testing.assert_frame_equal(
+            df_properties[_properties_name],
+            surface_properties_data[_properties_name],
+        )
+
+    def test_surface_properties_xarray(self, surface_properties_data):
+        unique_id = "Station"
+
+        ds_properties = xh.gis.surface_properties(
+            self.gdf, unique_id=unique_id, output_format="xarray"
+        )
+
+        assert ds_properties.elevation.attrs["units"] == "m"
+        assert ds_properties.slope.attrs["units"] == "degrees"
+        assert ds_properties.aspect.attrs["units"] == "degrees"
+
+        output_dataset = surface_properties_data.set_index(unique_id).to_xarray()
+        output_dataset["elevation"].attrs = {"units": "m"}
+        output_dataset["slope"].attrs = {"units": "degrees"}
+        output_dataset["aspect"].attrs = {"units": "degrees"}
+
+        xr.testing.assert_allclose(ds_properties, output_dataset)
+
     @pytest.fixture
     def land_classification_data_latest(self):
         data = {

From 415b8be798eeb2ae59bec6481d68e5fccb5b5b52 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 20:42:02 -0400
Subject: [PATCH 04/14] remove duplicated line

---
 src/xhydro/gis.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index 562e9d08..d16d1828 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -341,7 +341,6 @@ def surface_properties(
         .coarsen({"y": 5, "x": 5}, boundary="trim")
         .mean()
         .to_dataset(name="elevation")
-        .to_dataset(name="elevation")
         .rio.write_crs("epsg:4326", inplace=True)
         .rio.reproject(projected_crs)
         .isel(band=0)

From 0861880fb8564ef20bc5b7942227be1f38f17c56 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 20:46:34 -0400
Subject: [PATCH 05/14] remove duplicated values

---
 src/xhydro/gis.py | 12 ++----------
 1 file changed, 2 insertions(+), 10 deletions(-)

diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index d16d1828..7853b9cd 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -317,7 +317,6 @@ def surface_properties(
     # Geometries are projected to make calculations more accurate
     projected_gdf = gdf.to_crs(projected_crs)
 
-    collection = "cop-dem-glo-90"
     collection = "cop-dem-glo-90"
     catalog = pystac_client.Client.open(
         "https://planetarycomputer.microsoft.com/api/stac/v1",
@@ -330,7 +329,6 @@ def surface_properties(
 
     items = list(search.get_items())
 
-    # Create a mosaic of
     # Create a mosaic of
     da = stackstac.stack(items)
     da = _flatten(
@@ -348,10 +346,9 @@ def surface_properties(
 
     # Use Xvec to extract elevation for each geometry in the projected gdf
     da_elevation = ds.xvec.zonal_stats(
-        da_elevation=ds.xvec.zonal_stats(
-            projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
-        )["elevation"].squeeze()
+        projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
     )["elevation"].squeeze()
+    ["elevation"].squeeze()
 
     da_slope = slope(ds.elevation)
 
@@ -379,14 +376,9 @@ def surface_properties(
             {unique_id: ("geometry", gdf[unique_id])}
         )
         output_dataset = output_dataset.swap_dims({"geometry": unique_id})
-        output_dataset = output_dataset.assign_coords(
-            {unique_id: ("geometry", gdf[unique_id])}
-        )
-        output_dataset = output_dataset.swap_dims({"geometry": unique_id})
 
     if output_format in ("geopandas", "gpd.GeoDataFrame"):
         output_dataset = output_dataset.drop("geometry").to_dataframe()
-        output_dataset = output_dataset.drop("geometry").to_dataframe()
 
     return output_dataset
 

From 18340b589ba66bcb613839ce717941b4b716228e Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 20:50:49 -0400
Subject: [PATCH 06/14] remove duplicate value

---
 src/xhydro/gis.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index 7853b9cd..4ec36c25 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -348,7 +348,6 @@ def surface_properties(
     da_elevation = ds.xvec.zonal_stats(
         projected_gdf.geometry, x_coords="x", y_coords="y", stats=operation
     )["elevation"].squeeze()
-    ["elevation"].squeeze()
 
     da_slope = slope(ds.elevation)
 

From 86f6f6333bbcbdca38eec1ac5fccc4e7d938f5f8 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 21:47:38 -0400
Subject: [PATCH 07/14] add mask for land usage calculations

---
 docs/notebooks/gis.ipynb | 154 +++++++++++++++++++--------------------
 src/xhydro/gis.py        |   9 ++-
 tests/test_gis.py        |  23 ++----
 3 files changed, 92 insertions(+), 94 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index 1f9d2d57..aa5a1bce 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -53,7 +53,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6d456d4baf214a1187f4a92847931f47",
+       "model_id": "5602ca0caa4a48dc87ec04b112a92404",
        "version_major": 2,
        "version_minor": 0
       },
@@ -248,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -307,7 +307,7 @@
        "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
       ]
      },
-     "execution_count": 2,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -351,7 +351,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -445,7 +445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -822,9 +822,9 @@
        "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
        "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
        "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d118fef3-5e50-4748-ad21-7b73a87e86be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-725c541d-d03d-4f8e-969e-17bfad533bc7' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fa54b6b-253f-4126-8e20-194f16e60a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' class='xr-var-data-in' type='checkbox'><label for='data-ad6fdb18-5535-4af2-8315-4eff9dcb8ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36de07f3-799e-420d-82f9-6b5b3e1e181f' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c280e6c-1bcf-44af-9997-daeb5fff2065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' class='xr-var-data-in' type='checkbox'><label for='data-7f9a2248-72ea-49ac-ae2d-3368734b301b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583c80b5-d6d2-42e7-aec7-af8f76be61bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51974a9e-8691-4921-a31e-ddd404d715d8' class='xr-var-data-in' type='checkbox'><label for='data-51974a9e-8691-4921-a31e-ddd404d715d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-989948c2-a331-4a7b-8014-8475f234ae18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-989948c2-a331-4a7b-8014-8475f234ae18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' class='xr-var-data-in' type='checkbox'><label for='data-2328ed03-ecd9-464f-ad8d-59fc464e2206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8273ca-2aab-4d81-beff-b9ed6ca72fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12133b1f-08a9-455d-bee4-5ba6650173a1' class='xr-var-data-in' type='checkbox'><label for='data-12133b1f-08a9-455d-bee4-5ba6650173a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2d5688d7-a77a-4730-835d-ad4bf103d44a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d5688d7-a77a-4730-835d-ad4bf103d44a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d5891f28-213e-4cbd-93d1-47edf919a906' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5891f28-213e-4cbd-93d1-47edf919a906' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-17f67e53-a8d6-42a5-88a4-d8221e669b49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17f67e53-a8d6-42a5-88a4-d8221e669b49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-310bf7e4-42f9-4941-bca1-65c328634ada' class='xr-var-data-in' type='checkbox'><label for='data-310bf7e4-42f9-4941-bca1-65c328634ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92935142-9db6-4b99-ae2d-7a572b1d3c08' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92935142-9db6-4b99-ae2d-7a572b1d3c08' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-f88cb440-841b-4f70-a871-51e4211718d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f88cb440-841b-4f70-a871-51e4211718d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb039c99-b9bd-4113-9aed-6c43eebab2ed' class='xr-var-data-in' type='checkbox'><label for='data-cb039c99-b9bd-4113-9aed-6c43eebab2ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-400e0e79-fe6b-4db1-8fba-715a11f3c248' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-400e0e79-fe6b-4db1-8fba-715a11f3c248' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2db2e5f6-a988-41c4-b5ae-e31f02e27f5a' class='xr-var-data-in' type='checkbox'><label for='data-2db2e5f6-a988-41c4-b5ae-e31f02e27f5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-7a106bec-ae1e-47c8-a2e0-68694c056b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a106bec-ae1e-47c8-a2e0-68694c056b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-375fccd9-4c1c-48b7-a1d8-95aa3087e10a' class='xr-var-data-in' type='checkbox'><label for='data-375fccd9-4c1c-48b7-a1d8-95aa3087e10a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-24962208-480f-4c0f-87af-e34b27ef7f0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24962208-480f-4c0f-87af-e34b27ef7f0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5c30e20-75cb-4a4d-ba9a-b7b2a04c1734' class='xr-var-data-in' type='checkbox'><label for='data-b5c30e20-75cb-4a4d-ba9a-b7b2a04c1734' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
        "       (-72.47966677792694, 46.21359517038631),\n",
-       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary-in' type='checkbox'  ><label for='section-611ba408-7b4d-40a4-8ba8-0c78d1ef7b18' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' class='xr-index-data-in' type='checkbox'/><label for='index-e4ee2611-48e8-40d6-b0cc-31f00d3755dc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-919f5398-047f-4de5-b7a1-707de6a2ba1f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbba58c7-a440-47ba-9787-f48a7e3b34a2' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbba58c7-a440-47ba-9787-f48a7e3b34a2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d7cb55d4-4260-4a74-8cf5-156049c34f8a' class='xr-index-data-in' type='checkbox'/><label for='index-d7cb55d4-4260-4a74-8cf5-156049c34f8a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7594b30-fba0-4c3f-9683-a240372b87cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7594b30-fba0-4c3f-9683-a240372b87cb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 120B\n",
@@ -851,7 +851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -878,13 +878,13 @@
        "      <th>elevation</th>\n",
        "      <th>slope</th>\n",
        "      <th>aspect</th>\n",
-       "      <th>proj:epsg</th>\n",
-       "      <th>proj:shape</th>\n",
-       "      <th>epsg</th>\n",
        "      <th>time</th>\n",
        "      <th>platform</th>\n",
        "      <th>gsd</th>\n",
+       "      <th>proj:shape</th>\n",
        "      <th>band</th>\n",
+       "      <th>epsg</th>\n",
+       "      <th>proj:epsg</th>\n",
        "      <th>spatial_ref</th>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -908,13 +908,13 @@
        "      <td>33.573009</td>\n",
        "      <td>0.324613</td>\n",
        "      <td>239.025970</td>\n",
-       "      <td>4326</td>\n",
-       "      <td>{1200}</td>\n",
-       "      <td>4326</td>\n",
        "      <td>2021-04-22</td>\n",
        "      <td>TanDEM-X</td>\n",
        "      <td>90</td>\n",
+       "      <td>{1200}</td>\n",
        "      <td>data</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>4326</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -922,13 +922,13 @@
        "      <td>51.393295</td>\n",
        "      <td>0.518484</td>\n",
        "      <td>242.431335</td>\n",
-       "      <td>4326</td>\n",
-       "      <td>{1200}</td>\n",
-       "      <td>4326</td>\n",
        "      <td>2021-04-22</td>\n",
        "      <td>TanDEM-X</td>\n",
        "      <td>90</td>\n",
+       "      <td>{1200}</td>\n",
        "      <td>data</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>4326</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -936,13 +936,13 @@
        "      <td>358.549866</td>\n",
        "      <td>2.500644</td>\n",
        "      <td>178.557648</td>\n",
-       "      <td>4326</td>\n",
-       "      <td>{1200}</td>\n",
-       "      <td>4326</td>\n",
        "      <td>2021-04-22</td>\n",
        "      <td>TanDEM-X</td>\n",
        "      <td>90</td>\n",
+       "      <td>{1200}</td>\n",
        "      <td>data</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>4326</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -950,20 +950,20 @@
        "</div>"
       ],
       "text/plain": [
-       "           elevation     slope      aspect  proj:epsg proj:shape  epsg  \\\n",
-       "geometry                                                                 \n",
-       "0          33.573009  0.324613  239.025970       4326     {1200}  4326   \n",
-       "1          51.393295  0.518484  242.431335       4326     {1200}  4326   \n",
-       "2         358.549866  2.500644  178.557648       4326     {1200}  4326   \n",
-       "\n",
-       "               time  platform  gsd  band  spatial_ref  \n",
-       "geometry                                               \n",
-       "0        2021-04-22  TanDEM-X   90  data            0  \n",
-       "1        2021-04-22  TanDEM-X   90  data            0  \n",
-       "2        2021-04-22  TanDEM-X   90  data            0  "
+       "           elevation     slope      aspect       time  platform  gsd  \\\n",
+       "geometry                                                               \n",
+       "0          33.573009  0.324613  239.025970 2021-04-22  TanDEM-X   90   \n",
+       "1          51.393295  0.518484  242.431335 2021-04-22  TanDEM-X   90   \n",
+       "2         358.549866  2.500644  178.557648 2021-04-22  TanDEM-X   90   \n",
+       "\n",
+       "         proj:shape  band  epsg  proj:epsg  spatial_ref  \n",
+       "geometry                                                 \n",
+       "0            {1200}  data  4326       4326            0  \n",
+       "1            {1200}  data  4326       4326            0  \n",
+       "2            {1200}  data  4326       4326            0  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -974,7 +974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1343,47 +1343,47 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 192B\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 180B\n",
        "Dimensions:      (Station: 3)\n",
        "Coordinates:\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    platform     &lt;U8 32B &#x27;TanDEM-X&#x27;\n",
-       "    proj:epsg    int64 8B 4326\n",
        "    gsd          int64 8B 90\n",
-       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    proj:shape   object 8B {1200}\n",
        "    band         &lt;U4 16B &#x27;data&#x27;\n",
        "    epsg         int64 8B 4326\n",
+       "    proj:epsg    int64 8B 4326\n",
        "    spatial_ref  int64 8B 0\n",
        "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
        "  * Station      (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
        "Data variables:\n",
-       "    elevation    (Station) float64 24B 33.57 51.39 358.5\n",
+       "    elevation    (Station) float32 12B 33.57 51.39 358.5\n",
        "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
        "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
        "Attributes:\n",
        "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
        "    resolution:  0.0008333333333333334\n",
-       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-71a7467e-0107-4144-8211-5ce0b07d5713' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-71a7467e-0107-4144-8211-5ce0b07d5713' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5c254b57-8912-4769-9563-9508a1cfbf13' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c254b57-8912-4769-9563-9508a1cfbf13' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-b0e0522b-67eb-4524-b1b4-52a440dd30a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0e0522b-67eb-4524-b1b4-52a440dd30a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-775d651b-f2bb-4564-b2cc-9fd1e510a27e' class='xr-var-data-in' type='checkbox'><label for='data-775d651b-f2bb-4564-b2cc-9fd1e510a27e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-68f1e312-62f3-4766-a23d-a9694fdf490f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68f1e312-62f3-4766-a23d-a9694fdf490f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aec26947-03d2-49f8-b597-c0d6cd01f811' class='xr-var-data-in' type='checkbox'><label for='data-aec26947-03d2-49f8-b597-c0d6cd01f811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-647f0d83-8c73-4ff4-af86-5fcd891e57fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-647f0d83-8c73-4ff4-af86-5fcd891e57fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4015d9bd-021c-48a6-bae4-5e79ccda1b2b' class='xr-var-data-in' type='checkbox'><label for='data-4015d9bd-021c-48a6-bae4-5e79ccda1b2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-22e642a4-e189-4740-8023-5942ee5b1302' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22e642a4-e189-4740-8023-5942ee5b1302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b86b04fa-602d-4b47-9c26-00226a9e8d93' class='xr-var-data-in' type='checkbox'><label for='data-b86b04fa-602d-4b47-9c26-00226a9e8d93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-6e16b336-8f77-470c-8df0-62a20a6d6ba4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e16b336-8f77-470c-8df0-62a20a6d6ba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc183188-df1a-4838-9980-38b8049d7d53' class='xr-var-data-in' type='checkbox'><label for='data-bc183188-df1a-4838-9980-38b8049d7d53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-d1e996f5-139c-4d5b-9c77-5e7d273fecf3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1e996f5-139c-4d5b-9c77-5e7d273fecf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5885dc-9c0a-4dfc-8997-29e125b3c0eb' class='xr-var-data-in' type='checkbox'><label for='data-4d5885dc-9c0a-4dfc-8997-29e125b3c0eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-ea6df51f-7533-46ea-8405-66cf4428d1f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea6df51f-7533-46ea-8405-66cf4428d1f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec7bf2da-0da7-48e6-b001-edd2e049caed' class='xr-var-data-in' type='checkbox'><label for='data-ec7bf2da-0da7-48e6-b001-edd2e049caed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-c916f41c-cb3b-40f6-960a-a85474fc7664' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c916f41c-cb3b-40f6-960a-a85474fc7664' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69855fba-09e7-406f-b682-bb9cf829eb83' class='xr-var-data-in' type='checkbox'><label for='data-69855fba-09e7-406f-b682-bb9cf829eb83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-b061d574-0d4d-41ce-9866-e29061f68865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b061d574-0d4d-41ce-9866-e29061f68865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99ca9876-b60a-4ebf-97ae-4047c66bdabf' class='xr-var-data-in' type='checkbox'><label for='data-99ca9876-b60a-4ebf-97ae-4047c66bdabf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
+       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-06ec2c77-d8a9-460e-8e83-da203ff6110d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06ec2c77-d8a9-460e-8e83-da203ff6110d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b9d0d855-972b-47f1-a87e-fb0faa4c5983' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9d0d855-972b-47f1-a87e-fb0faa4c5983' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-c32de3e8-ec73-4d73-adb7-509ad35c5755' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c32de3e8-ec73-4d73-adb7-509ad35c5755' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a4fe125-c448-4c78-bc86-fca7fa4eabc0' class='xr-var-data-in' type='checkbox'><label for='data-0a4fe125-c448-4c78-bc86-fca7fa4eabc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-b150729a-fb9d-4b56-b896-45fd569d579f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b150729a-fb9d-4b56-b896-45fd569d579f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b6dcba-af8f-4785-ac37-13225e18a8d0' class='xr-var-data-in' type='checkbox'><label for='data-e9b6dcba-af8f-4785-ac37-13225e18a8d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-cd58d0fa-298e-44a7-8988-50e6e6e284c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd58d0fa-298e-44a7-8988-50e6e6e284c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2b50db3-c0aa-4cf6-8bf2-a8562dff890d' class='xr-var-data-in' type='checkbox'><label for='data-f2b50db3-c0aa-4cf6-8bf2-a8562dff890d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-382dd211-13f9-416d-9ee5-1bc5383b64a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-382dd211-13f9-416d-9ee5-1bc5383b64a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eefc15f2-48af-488d-9303-887459c49897' class='xr-var-data-in' type='checkbox'><label for='data-eefc15f2-48af-488d-9303-887459c49897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-f6eb9fa8-f2ca-4387-abb6-833a505d0853' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6eb9fa8-f2ca-4387-abb6-833a505d0853' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e10ec8e-ccf0-4f8a-8dde-e4df0a228f6a' class='xr-var-data-in' type='checkbox'><label for='data-2e10ec8e-ccf0-4f8a-8dde-e4df0a228f6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-328fd506-777b-4027-9bb2-438db5fa04c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-328fd506-777b-4027-9bb2-438db5fa04c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34f00018-b5d9-4d58-9705-8ee2593d5409' class='xr-var-data-in' type='checkbox'><label for='data-34f00018-b5d9-4d58-9705-8ee2593d5409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-e92a0080-e9e1-4a24-81dd-b25356e17ef7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e92a0080-e9e1-4a24-81dd-b25356e17ef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bfb44a0-d08a-4579-8387-ff57e1464130' class='xr-var-data-in' type='checkbox'><label for='data-6bfb44a0-d08a-4579-8387-ff57e1464130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b6369000-4da6-460a-acd0-6f36d637e8be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6369000-4da6-460a-acd0-6f36d637e8be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-837b5a51-bd9f-4eeb-b209-571fe3a36f07' class='xr-var-data-in' type='checkbox'><label for='data-837b5a51-bd9f-4eeb-b209-571fe3a36f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-8ccb1c34-219d-4f45-ae33-b033b5a1b199' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ccb1c34-219d-4f45-ae33-b033b5a1b199' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a38988df-20bc-47b8-9a89-9c192e95810e' class='xr-var-data-in' type='checkbox'><label for='data-a38988df-20bc-47b8-9a89-9c192e95810e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
        "       &lt;POLYGON ((-308472.061 254960.004, -308435.028 255062.648, -308413.285 25520...&gt;,\n",
        "       &lt;POLYGON ((-761385.594 347655.489, -761383.379 347649.173, -761390.035 34763...&gt;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-844ab3f1-208b-4c5f-83e0-46801deda2c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-844ab3f1-208b-4c5f-83e0-46801deda2c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e335a5c8-1465-46ae-a7c4-324ffbd428be' class='xr-var-data-in' type='checkbox'><label for='data-e335a5c8-1465-46ae-a7c4-324ffbd428be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62958755-c9e0-4c93-8a8d-9159035d3d01' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62958755-c9e0-4c93-8a8d-9159035d3d01' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-1d6e5926-b3d4-4382-9b8a-1ebdf02ea7de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d6e5926-b3d4-4382-9b8a-1ebdf02ea7de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c805a251-d5b3-4418-8936-062db54e9537' class='xr-var-data-in' type='checkbox'><label for='data-c805a251-d5b3-4418-8936-062db54e9537' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301027,  51.39329433, 358.5498543 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-33754b87-c8d4-4116-8f1b-a063ecb63adc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33754b87-c8d4-4116-8f1b-a063ecb63adc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09b6fdcf-a54e-4cad-a06e-7e55192129db' class='xr-var-data-in' type='checkbox'><label for='data-09b6fdcf-a54e-4cad-a06e-7e55192129db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-a933fff5-77e5-405e-b43b-956897656d06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a933fff5-77e5-405e-b43b-956897656d06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1a96a8f-3e27-4692-a6ea-8ed5b4722f6e' class='xr-var-data-in' type='checkbox'><label for='data-e1a96a8f-3e27-4692-a6ea-8ed5b4722f6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6677ab48-3bc8-4611-9497-6437c83b9b75' class='xr-section-summary-in' type='checkbox'  ><label for='section-6677ab48-3bc8-4611-9497-6437c83b9b75' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0cb8c575-3f6a-43cf-bfa7-b44c38ec15e1' class='xr-index-data-in' type='checkbox'/><label for='index-0cb8c575-3f6a-43cf-bfa7-b44c38ec15e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70ec8b9c-8aa4-4924-bd5c-c7bcf5c4ddc0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70ec8b9c-8aa4-4924-bd5c-c7bcf5c4ddc0' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-6286743a-b8df-44be-a9c1-a5f2644689e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6286743a-b8df-44be-a9c1-a5f2644689e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817168e7-4726-46a0-a7fd-f0d23afc450a' class='xr-var-data-in' type='checkbox'><label for='data-817168e7-4726-46a0-a7fd-f0d23afc450a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b452fc89-3607-4688-af73-725a30099beb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b452fc89-3607-4688-af73-725a30099beb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-de239b43-f964-4db8-a568-fa48dc99cf28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de239b43-f964-4db8-a568-fa48dc99cf28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77de90f1-62b2-4c8a-84cd-d385281f6c0b' class='xr-var-data-in' type='checkbox'><label for='data-77de90f1-62b2-4c8a-84cd-d385281f6c0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301 ,  51.393295, 358.54987 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-13cb1fcd-afe5-44dc-a8c0-f4bfa28b604a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13cb1fcd-afe5-44dc-a8c0-f4bfa28b604a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2790844e-05a7-40a2-b77d-caa77abf73c2' class='xr-var-data-in' type='checkbox'><label for='data-2790844e-05a7-40a2-b77d-caa77abf73c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-0622b2db-af0c-458f-8bee-da60a571da5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0622b2db-af0c-458f-8bee-da60a571da5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b90854-add9-4e7f-97b6-d59302181cb1' class='xr-var-data-in' type='checkbox'><label for='data-47b90854-add9-4e7f-97b6-d59302181cb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ab62c9f-c3b5-458f-960f-64dde1a3c102' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ab62c9f-c3b5-458f-960f-64dde1a3c102' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d4b25480-dd53-44b1-a0fb-ee8ebf8f800a' class='xr-index-data-in' type='checkbox'/><label for='index-d4b25480-dd53-44b1-a0fb-ee8ebf8f800a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-197cdcda-eb48-43ef-856a-4fefb9351589' class='xr-section-summary-in' type='checkbox'  checked><label for='section-197cdcda-eb48-43ef-856a-4fefb9351589' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 192B\n",
+       "<xarray.Dataset> Size: 180B\n",
        "Dimensions:      (Station: 3)\n",
        "Coordinates:\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    platform     <U8 32B 'TanDEM-X'\n",
-       "    proj:epsg    int64 8B 4326\n",
        "    gsd          int64 8B 90\n",
-       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    proj:shape   object 8B {1200}\n",
        "    band         <U4 16B 'data'\n",
        "    epsg         int64 8B 4326\n",
+       "    proj:epsg    int64 8B 4326\n",
        "    spatial_ref  int64 8B 0\n",
        "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
        "  * Station      (Station) object 24B '031501' '031502' '042103'\n",
        "Data variables:\n",
-       "    elevation    (Station) float64 24B 33.57 51.39 358.5\n",
+       "    elevation    (Station) float32 12B 33.57 51.39 358.5\n",
        "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
        "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
        "Attributes:\n",
@@ -1392,7 +1392,7 @@
        "    _FillValue:  1.7976931348623157e+308"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1413,13 +1413,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6b6a149ccead450296cc5cf79d7714d9",
+       "model_id": "7639866a07a34608b9f2a86244ebccba",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1451,14 +1451,14 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>pct_crops</th>\n",
        "      <th>pct_built_area</th>\n",
+       "      <th>pct_crops</th>\n",
        "      <th>pct_trees</th>\n",
        "      <th>pct_rangeland</th>\n",
        "      <th>pct_water</th>\n",
+       "      <th>pct_snow/ice</th>\n",
        "      <th>pct_bare_ground</th>\n",
        "      <th>pct_flooded_vegetation</th>\n",
-       "      <th>pct_snow/ice</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Station</th>\n",
@@ -1475,56 +1475,56 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>031501</th>\n",
-       "      <td>0.776151</td>\n",
-       "      <td>0.030159</td>\n",
-       "      <td>0.191648</td>\n",
-       "      <td>0.002042</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.015321</td>\n",
+       "      <td>0.724102</td>\n",
+       "      <td>0.255548</td>\n",
+       "      <td>0.005029</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>031502</th>\n",
-       "      <td>0.755217</td>\n",
-       "      <td>0.023085</td>\n",
-       "      <td>0.218869</td>\n",
-       "      <td>0.002830</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.009526</td>\n",
+       "      <td>0.670792</td>\n",
+       "      <td>0.312680</td>\n",
+       "      <td>0.007002</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>042103</th>\n",
+       "      <td>0.000013</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000101</td>\n",
-       "      <td>0.863602</td>\n",
-       "      <td>0.026126</td>\n",
-       "      <td>0.109987</td>\n",
-       "      <td>0.000021</td>\n",
-       "      <td>0.000162</td>\n",
-       "      <td>3.780111e-07</td>\n",
+       "      <td>0.890441</td>\n",
+       "      <td>0.024052</td>\n",
+       "      <td>0.08537</td>\n",
+       "      <td>3.444143e-07</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000113</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "         pct_crops  pct_built_area  pct_trees  pct_rangeland  pct_water  \\\n",
+       "         pct_built_area  pct_crops  pct_trees  pct_rangeland  pct_water  \\\n",
        "Station                                                                   \n",
-       "031501    0.776151        0.030159   0.191648       0.002042   0.000000   \n",
-       "031502    0.755217        0.023085   0.218869       0.002830   0.000000   \n",
-       "042103    0.000000        0.000101   0.863602       0.026126   0.109987   \n",
+       "031501         0.015321   0.724102   0.255548       0.005029    0.00000   \n",
+       "031502         0.009526   0.670792   0.312680       0.007002    0.00000   \n",
+       "042103         0.000013   0.000000   0.890441       0.024052    0.08537   \n",
        "\n",
-       "         pct_bare_ground  pct_flooded_vegetation  pct_snow/ice  \n",
+       "         pct_snow/ice  pct_bare_ground  pct_flooded_vegetation  \n",
        "Station                                                         \n",
-       "031501          0.000000                0.000000  0.000000e+00  \n",
-       "031502          0.000000                0.000000  0.000000e+00  \n",
-       "042103          0.000021                0.000162  3.780111e-07  "
+       "031501   0.000000e+00         0.000000                0.000000  \n",
+       "031502   0.000000e+00         0.000000                0.000000  \n",
+       "042103   3.444143e-07         0.000011                0.000113  "
       ]
      },
-     "execution_count": 10,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1536,7 +1536,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index 4ec36c25..61671535 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -427,12 +427,19 @@ def _count_pixels_from_bbox(
 ):
     bbox_of_interest = gdf.iloc[[idx]].total_bounds
 
-    merged, _ = _merge_stac_dataset(catalog, bbox_of_interest, year)
+    merged, item = _merge_stac_dataset(catalog, bbox_of_interest, year)
+    epsg = item.properties["proj:epsg"]
+
+    # Mask with polygon
+    merged = merged.rio.write_crs(epsg).rio.clip([gdf.to_crs(epsg).iloc[idx].geometry])
 
     data = merged.data.ravel()
+    data = data[data != 0]
+
     df = pd.DataFrame(
         pd.value_counts(data, sort=False).rename(values_to_classes) / data.shape[0]
     )
+
     if unique_id is not None:
         column_name = [gdf[unique_id].iloc[idx]]
     else:
diff --git a/tests/test_gis.py b/tests/test_gis.py
index 28b6b55e..68485e13 100644
--- a/tests/test_gis.py
+++ b/tests/test_gis.py
@@ -126,21 +126,9 @@ def test_watershed_properties_xarray(self, watershed_properties_data):
     @pytest.fixture
     def surface_properties_data(self):
         data = {
-            "elevation": {
-                "031501": 33.57301026813054,
-                "031502": 51.393294334667644,
-                "042103": 358.5498543002855,
-            },
-            "slope": {
-                "031501": 0.32461288571357727,
-                "031502": 0.5184836387634277,
-                "042103": 2.5006439685821533,
-            },
-            "aspect": {
-                "031501": 239.02597045898438,
-                "031502": 242.43133544921875,
-                "042103": 178.55764770507812,
-            },
+            "elevation": {"031501": 46.3385009765625, "042103": 358.54986572265625},
+            "slope": {"031501": 0.4634914696216583, "042103": 2.5006439685821533},
+            "aspect": {"031501": 241.46539306640625, "042103": 178.55764770507812},
         }
 
         df = pd.DataFrame.from_dict(data).astype("float32")
@@ -175,12 +163,15 @@ def test_surface_properties_xarray(self, surface_properties_data):
         ds_properties = xh.gis.surface_properties(
             self.gdf, unique_id=unique_id, output_format="xarray"
         )
+        ds_properties = ds_properties.drop(
+            list(set(ds_properties.coords) - set(ds_properties.dims))
+        )
 
         assert ds_properties.elevation.attrs["units"] == "m"
         assert ds_properties.slope.attrs["units"] == "degrees"
         assert ds_properties.aspect.attrs["units"] == "degrees"
 
-        output_dataset = surface_properties_data.set_index(unique_id).to_xarray()
+        output_dataset = surface_properties_data.to_xarray()
         output_dataset["elevation"].attrs = {"units": "m"}
         output_dataset["slope"].attrs = {"units": "degrees"}
         output_dataset["aspect"].attrs = {"units": "degrees"}

From 37ae24e5e157a69e2e1570374a1fabe76eb56170 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 21:51:10 -0400
Subject: [PATCH 08/14] add changelog

---
 CHANGELOG.rst | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 782babf1..7c8a5467 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -4,7 +4,7 @@ Changelog
 
 v0.4.0 (unreleased)
 -------------------
-Contributors to this version: Gabriel Rondeau-Genesse (:user:`RondeauG`), Richard Arsenault (:user:`richardarsenault`).
+Contributors to this version: Gabriel Rondeau-Genesse (:user:`RondeauG`), Richard Arsenault (:user:`richardarsenault`), Sébastien Langlois (:user:`sebastienlanglois`).
 
 New features and enhancements
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -12,6 +12,7 @@ New features and enhancements
 * Added support for various hydrological models emulated through the Raven hydrological framework. (:pull:`128`).
 * Added optimal interpolation functions for time-series and streamflow indicators. (:pull:`88`, :pull:`129`).
 * Added optimal interpolation notebooks. (:pull:`123`).
+* Added surface properties (elevation, slope, aspect ratio) to the `gis` module. (:pull:`151`).
 
 Breaking changes
 ^^^^^^^^^^^^^^^^

From 07218136d2b9cc085bf5dc23c61799fd3838fbd2 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 23:00:21 -0400
Subject: [PATCH 09/14] update tests

---
 docs/notebooks/gis.ipynb | 4426 +-------------------------------------
 tests/test_gis.py        |   38 +-
 2 files changed, 49 insertions(+), 4415 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index aa5a1bce..10f2a12f 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,25 +47,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5602ca0caa4a48dc87ec04b112a92404",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Map(center=[48.63, -74.71], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_…"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "m = leafmap.Map(center=(48.63, -74.71), zoom=5, basemap=\"USGS Hydrography\")\n",
     "m"
@@ -81,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +95,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,83 +117,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>HYBAS_ID</th>\n",
-       "      <th>Upstream Area (sq. km).</th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>category</th>\n",
-       "      <th>color</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>7120034330</td>\n",
-       "      <td>87595.8</td>\n",
-       "      <td>POLYGON ((-74.37864 48.88141, -74.37452 48.886...</td>\n",
-       "      <td>3</td>\n",
-       "      <td>#41b6c4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>7120398781</td>\n",
-       "      <td>144026.8</td>\n",
-       "      <td>POLYGON ((-80.07991 46.77860, -80.08529 46.782...</td>\n",
-       "      <td>5</td>\n",
-       "      <td>#081d58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>7120382860</td>\n",
-       "      <td>23717.7</td>\n",
-       "      <td>POLYGON ((-73.77437 43.36757, -73.77557 43.388...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>#ffffd9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     HYBAS_ID  Upstream Area (sq. km).  \\\n",
-       "0  7120034330                  87595.8   \n",
-       "1  7120398781                 144026.8   \n",
-       "2  7120382860                  23717.7   \n",
-       "\n",
-       "                                            geometry  category    color  \n",
-       "0  POLYGON ((-74.37864 48.88141, -74.37452 48.886...         3  #41b6c4  \n",
-       "1  POLYGON ((-80.07991 46.77860, -80.08529 46.782...         5  #081d58  \n",
-       "2  POLYGON ((-73.77437 43.36757, -73.77557 43.388...         1  #ffffd9  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "gdf = xhgis.watershed_delineation(coordinates=lng_lat, map=m)\n",
     "gdf"
@@ -224,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -248,70 +158,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Station</th>\n",
-       "      <th>Superficie</th>\n",
-       "      <th>geometry</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>031501</td>\n",
-       "      <td>21.868620</td>\n",
-       "      <td>POLYGON ((-72.47379 46.23340, -72.46888 46.228...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>031502</td>\n",
-       "      <td>15.708960</td>\n",
-       "      <td>POLYGON ((-72.50127 46.21216, -72.50086 46.213...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>042103</td>\n",
-       "      <td>579.479614</td>\n",
-       "      <td>POLYGON ((-78.49014 46.64514, -78.49010 46.645...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Station  Superficie                                           geometry\n",
-       "0  031501   21.868620  POLYGON ((-72.47379 46.23340, -72.46888 46.228...\n",
-       "1  031502   15.708960  POLYGON ((-72.50127 46.21216, -72.50086 46.213...\n",
-       "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "gdf = xd.Query(\n",
     "    **{\n",
@@ -351,87 +200,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Station</th>\n",
-       "      <th>Superficie</th>\n",
-       "      <th>area</th>\n",
-       "      <th>perimeter</th>\n",
-       "      <th>gravelius</th>\n",
-       "      <th>centroid</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>031501</td>\n",
-       "      <td>21.868620</td>\n",
-       "      <td>2.186862e+07</td>\n",
-       "      <td>27186.996845</td>\n",
-       "      <td>1.640007</td>\n",
-       "      <td>(-72.48631199105834, 46.22277542928622)</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>031502</td>\n",
-       "      <td>15.708960</td>\n",
-       "      <td>1.570896e+07</td>\n",
-       "      <td>20263.293021</td>\n",
-       "      <td>1.442220</td>\n",
-       "      <td>(-72.47966677792694, 46.21359517038631)</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>042103</td>\n",
-       "      <td>579.479614</td>\n",
-       "      <td>5.794796e+08</td>\n",
-       "      <td>283765.058390</td>\n",
-       "      <td>3.325331</td>\n",
-       "      <td>(-78.37036445281987, 46.48287117609677)</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Station  Superficie          area      perimeter  gravelius  \\\n",
-       "0  031501   21.868620  2.186862e+07   27186.996845   1.640007   \n",
-       "1  031502   15.708960  1.570896e+07   20263.293021   1.442220   \n",
-       "2  042103  579.479614  5.794796e+08  283765.058390   3.325331   \n",
-       "\n",
-       "                                  centroid  \n",
-       "0  (-72.48631199105834, 46.22277542928622)  \n",
-       "1  (-72.47966677792694, 46.21359517038631)  \n",
-       "2  (-78.37036445281987, 46.48287117609677)  "
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "xhgis.watershed_properties(gdf)"
    ]
@@ -445,404 +216,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
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-       "  margin-right: 10px;\n",
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-       "\n",
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-       ".xr-section-item input + label {\n",
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-       ".xr-section-summary > span {\n",
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-       ".xr-section-summary-in:disabled + label:before {\n",
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-       ".xr-section-summary-in:checked + label > span {\n",
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-       "\n",
-       ".xr-section-summary,\n",
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-       "  padding-bottom: 4px;\n",
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-       "\n",
-       ".xr-section-details {\n",
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-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
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-       ".xr-array-wrap {\n",
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-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
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-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
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-       "\n",
-       ".xr-array-data,\n",
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-       "  display: none;\n",
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-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
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-       "\n",
-       ".xr-dim-list {\n",
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-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
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-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
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-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
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-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
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-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
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-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
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-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
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-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
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-       "\n",
-       ".xr-var-dims {\n",
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-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 120B\n",
-       "Dimensions:    (Station: 3)\n",
-       "Coordinates:\n",
-       "  * Station    (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
-       "Data variables:\n",
-       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
-       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
-       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2d5688d7-a77a-4730-835d-ad4bf103d44a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d5688d7-a77a-4730-835d-ad4bf103d44a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d5891f28-213e-4cbd-93d1-47edf919a906' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5891f28-213e-4cbd-93d1-47edf919a906' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-17f67e53-a8d6-42a5-88a4-d8221e669b49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17f67e53-a8d6-42a5-88a4-d8221e669b49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-310bf7e4-42f9-4941-bca1-65c328634ada' class='xr-var-data-in' type='checkbox'><label for='data-310bf7e4-42f9-4941-bca1-65c328634ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92935142-9db6-4b99-ae2d-7a572b1d3c08' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92935142-9db6-4b99-ae2d-7a572b1d3c08' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-f88cb440-841b-4f70-a871-51e4211718d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f88cb440-841b-4f70-a871-51e4211718d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb039c99-b9bd-4113-9aed-6c43eebab2ed' class='xr-var-data-in' type='checkbox'><label for='data-cb039c99-b9bd-4113-9aed-6c43eebab2ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-400e0e79-fe6b-4db1-8fba-715a11f3c248' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-400e0e79-fe6b-4db1-8fba-715a11f3c248' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2db2e5f6-a988-41c4-b5ae-e31f02e27f5a' class='xr-var-data-in' type='checkbox'><label for='data-2db2e5f6-a988-41c4-b5ae-e31f02e27f5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-7a106bec-ae1e-47c8-a2e0-68694c056b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a106bec-ae1e-47c8-a2e0-68694c056b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-375fccd9-4c1c-48b7-a1d8-95aa3087e10a' class='xr-var-data-in' type='checkbox'><label for='data-375fccd9-4c1c-48b7-a1d8-95aa3087e10a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-24962208-480f-4c0f-87af-e34b27ef7f0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24962208-480f-4c0f-87af-e34b27ef7f0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5c30e20-75cb-4a4d-ba9a-b7b2a04c1734' class='xr-var-data-in' type='checkbox'><label for='data-b5c30e20-75cb-4a4d-ba9a-b7b2a04c1734' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
-       "       (-72.47966677792694, 46.21359517038631),\n",
-       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbba58c7-a440-47ba-9787-f48a7e3b34a2' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbba58c7-a440-47ba-9787-f48a7e3b34a2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d7cb55d4-4260-4a74-8cf5-156049c34f8a' class='xr-index-data-in' type='checkbox'/><label for='index-d7cb55d4-4260-4a74-8cf5-156049c34f8a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7594b30-fba0-4c3f-9683-a240372b87cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7594b30-fba0-4c3f-9683-a240372b87cb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 120B\n",
-       "Dimensions:    (Station: 3)\n",
-       "Coordinates:\n",
-       "  * Station    (Station) object 24B '031501' '031502' '042103'\n",
-       "Data variables:\n",
-       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
-       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
-       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ...."
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "xhgis.watershed_properties(\n",
     "    gdf[[\"Station\", \"geometry\"]], unique_id=\"Station\", output_format=\"xarray\"\n",
@@ -851,552 +227,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>slope</th>\n",
-       "      <th>aspect</th>\n",
-       "      <th>time</th>\n",
-       "      <th>platform</th>\n",
-       "      <th>gsd</th>\n",
-       "      <th>proj:shape</th>\n",
-       "      <th>band</th>\n",
-       "      <th>epsg</th>\n",
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-       "      <th>spatial_ref</th>\n",
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-       "      <th>geometry</th>\n",
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-       "      <td>2021-04-22</td>\n",
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-       "      <td>0</td>\n",
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-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>358.549866</td>\n",
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-       "      <td>178.557648</td>\n",
-       "      <td>2021-04-22</td>\n",
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-      "text/plain": [
-       "           elevation     slope      aspect       time  platform  gsd  \\\n",
-       "geometry                                                               \n",
-       "0          33.573009  0.324613  239.025970 2021-04-22  TanDEM-X   90   \n",
-       "1          51.393295  0.518484  242.431335 2021-04-22  TanDEM-X   90   \n",
-       "2         358.549866  2.500644  178.557648 2021-04-22  TanDEM-X   90   \n",
-       "\n",
-       "         proj:shape  band  epsg  proj:epsg  spatial_ref  \n",
-       "geometry                                                 \n",
-       "0            {1200}  data  4326       4326            0  \n",
-       "1            {1200}  data  4326       4326            0  \n",
-       "2            {1200}  data  4326       4326            0  "
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "xhgis.surface_properties(gdf)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
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-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 180B\n",
-       "Dimensions:      (Station: 3)\n",
-       "Coordinates:\n",
-       "    time         datetime64[ns] 8B 2021-04-22\n",
-       "    platform     &lt;U8 32B &#x27;TanDEM-X&#x27;\n",
-       "    gsd          int64 8B 90\n",
-       "    proj:shape   object 8B {1200}\n",
-       "    band         &lt;U4 16B &#x27;data&#x27;\n",
-       "    epsg         int64 8B 4326\n",
-       "    proj:epsg    int64 8B 4326\n",
-       "    spatial_ref  int64 8B 0\n",
-       "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
-       "  * Station      (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
-       "Data variables:\n",
-       "    elevation    (Station) float32 12B 33.57 51.39 358.5\n",
-       "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
-       "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
-       "Attributes:\n",
-       "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
-       "    resolution:  0.0008333333333333334\n",
-       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-06ec2c77-d8a9-460e-8e83-da203ff6110d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06ec2c77-d8a9-460e-8e83-da203ff6110d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b9d0d855-972b-47f1-a87e-fb0faa4c5983' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9d0d855-972b-47f1-a87e-fb0faa4c5983' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-c32de3e8-ec73-4d73-adb7-509ad35c5755' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c32de3e8-ec73-4d73-adb7-509ad35c5755' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a4fe125-c448-4c78-bc86-fca7fa4eabc0' class='xr-var-data-in' type='checkbox'><label for='data-0a4fe125-c448-4c78-bc86-fca7fa4eabc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-b150729a-fb9d-4b56-b896-45fd569d579f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b150729a-fb9d-4b56-b896-45fd569d579f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b6dcba-af8f-4785-ac37-13225e18a8d0' class='xr-var-data-in' type='checkbox'><label for='data-e9b6dcba-af8f-4785-ac37-13225e18a8d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-cd58d0fa-298e-44a7-8988-50e6e6e284c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd58d0fa-298e-44a7-8988-50e6e6e284c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2b50db3-c0aa-4cf6-8bf2-a8562dff890d' class='xr-var-data-in' type='checkbox'><label for='data-f2b50db3-c0aa-4cf6-8bf2-a8562dff890d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-382dd211-13f9-416d-9ee5-1bc5383b64a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-382dd211-13f9-416d-9ee5-1bc5383b64a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eefc15f2-48af-488d-9303-887459c49897' class='xr-var-data-in' type='checkbox'><label for='data-eefc15f2-48af-488d-9303-887459c49897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-f6eb9fa8-f2ca-4387-abb6-833a505d0853' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6eb9fa8-f2ca-4387-abb6-833a505d0853' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e10ec8e-ccf0-4f8a-8dde-e4df0a228f6a' class='xr-var-data-in' type='checkbox'><label for='data-2e10ec8e-ccf0-4f8a-8dde-e4df0a228f6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-328fd506-777b-4027-9bb2-438db5fa04c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-328fd506-777b-4027-9bb2-438db5fa04c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34f00018-b5d9-4d58-9705-8ee2593d5409' class='xr-var-data-in' type='checkbox'><label for='data-34f00018-b5d9-4d58-9705-8ee2593d5409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-e92a0080-e9e1-4a24-81dd-b25356e17ef7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e92a0080-e9e1-4a24-81dd-b25356e17ef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bfb44a0-d08a-4579-8387-ff57e1464130' class='xr-var-data-in' type='checkbox'><label for='data-6bfb44a0-d08a-4579-8387-ff57e1464130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b6369000-4da6-460a-acd0-6f36d637e8be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6369000-4da6-460a-acd0-6f36d637e8be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-837b5a51-bd9f-4eeb-b209-571fe3a36f07' class='xr-var-data-in' type='checkbox'><label for='data-837b5a51-bd9f-4eeb-b209-571fe3a36f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-8ccb1c34-219d-4f45-ae33-b033b5a1b199' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ccb1c34-219d-4f45-ae33-b033b5a1b199' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a38988df-20bc-47b8-9a89-9c192e95810e' class='xr-var-data-in' type='checkbox'><label for='data-a38988df-20bc-47b8-9a89-9c192e95810e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
-       "       &lt;POLYGON ((-308472.061 254960.004, -308435.028 255062.648, -308413.285 25520...&gt;,\n",
-       "       &lt;POLYGON ((-761385.594 347655.489, -761383.379 347649.173, -761390.035 34763...&gt;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-6286743a-b8df-44be-a9c1-a5f2644689e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6286743a-b8df-44be-a9c1-a5f2644689e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817168e7-4726-46a0-a7fd-f0d23afc450a' class='xr-var-data-in' type='checkbox'><label for='data-817168e7-4726-46a0-a7fd-f0d23afc450a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b452fc89-3607-4688-af73-725a30099beb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b452fc89-3607-4688-af73-725a30099beb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-de239b43-f964-4db8-a568-fa48dc99cf28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de239b43-f964-4db8-a568-fa48dc99cf28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77de90f1-62b2-4c8a-84cd-d385281f6c0b' class='xr-var-data-in' type='checkbox'><label for='data-77de90f1-62b2-4c8a-84cd-d385281f6c0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301 ,  51.393295, 358.54987 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-13cb1fcd-afe5-44dc-a8c0-f4bfa28b604a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13cb1fcd-afe5-44dc-a8c0-f4bfa28b604a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2790844e-05a7-40a2-b77d-caa77abf73c2' class='xr-var-data-in' type='checkbox'><label for='data-2790844e-05a7-40a2-b77d-caa77abf73c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-0622b2db-af0c-458f-8bee-da60a571da5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0622b2db-af0c-458f-8bee-da60a571da5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b90854-add9-4e7f-97b6-d59302181cb1' class='xr-var-data-in' type='checkbox'><label for='data-47b90854-add9-4e7f-97b6-d59302181cb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ab62c9f-c3b5-458f-960f-64dde1a3c102' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ab62c9f-c3b5-458f-960f-64dde1a3c102' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d4b25480-dd53-44b1-a0fb-ee8ebf8f800a' class='xr-index-data-in' type='checkbox'/><label for='index-d4b25480-dd53-44b1-a0fb-ee8ebf8f800a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-197cdcda-eb48-43ef-856a-4fefb9351589' class='xr-section-summary-in' type='checkbox'  checked><label for='section-197cdcda-eb48-43ef-856a-4fefb9351589' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 180B\n",
-       "Dimensions:      (Station: 3)\n",
-       "Coordinates:\n",
-       "    time         datetime64[ns] 8B 2021-04-22\n",
-       "    platform     <U8 32B 'TanDEM-X'\n",
-       "    gsd          int64 8B 90\n",
-       "    proj:shape   object 8B {1200}\n",
-       "    band         <U4 16B 'data'\n",
-       "    epsg         int64 8B 4326\n",
-       "    proj:epsg    int64 8B 4326\n",
-       "    spatial_ref  int64 8B 0\n",
-       "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
-       "  * Station      (Station) object 24B '031501' '031502' '042103'\n",
-       "Data variables:\n",
-       "    elevation    (Station) float32 12B 33.57 51.39 358.5\n",
-       "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
-       "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
-       "Attributes:\n",
-       "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
-       "    resolution:  0.0008333333333333334\n",
-       "    _FillValue:  1.7976931348623157e+308"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "xhgis.surface_properties(\n",
     "    gdf[[\"Station\", \"geometry\"]], output_format=\"xarray\", unique_id=\"Station\"\n",
@@ -1413,122 +255,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7639866a07a34608b9f2a86244ebccba",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pct_built_area</th>\n",
-       "      <th>pct_crops</th>\n",
-       "      <th>pct_trees</th>\n",
-       "      <th>pct_rangeland</th>\n",
-       "      <th>pct_water</th>\n",
-       "      <th>pct_snow/ice</th>\n",
-       "      <th>pct_bare_ground</th>\n",
-       "      <th>pct_flooded_vegetation</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Station</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>031501</th>\n",
-       "      <td>0.015321</td>\n",
-       "      <td>0.724102</td>\n",
-       "      <td>0.255548</td>\n",
-       "      <td>0.005029</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>031502</th>\n",
-       "      <td>0.009526</td>\n",
-       "      <td>0.670792</td>\n",
-       "      <td>0.312680</td>\n",
-       "      <td>0.007002</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>042103</th>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.890441</td>\n",
-       "      <td>0.024052</td>\n",
-       "      <td>0.08537</td>\n",
-       "      <td>3.444143e-07</td>\n",
-       "      <td>0.000011</td>\n",
-       "      <td>0.000113</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         pct_built_area  pct_crops  pct_trees  pct_rangeland  pct_water  \\\n",
-       "Station                                                                   \n",
-       "031501         0.015321   0.724102   0.255548       0.005029    0.00000   \n",
-       "031502         0.009526   0.670792   0.312680       0.007002    0.00000   \n",
-       "042103         0.000013   0.000000   0.890441       0.024052    0.08537   \n",
-       "\n",
-       "         pct_snow/ice  pct_bare_ground  pct_flooded_vegetation  \n",
-       "Station                                                         \n",
-       "031501   0.000000e+00         0.000000                0.000000  \n",
-       "031502   0.000000e+00         0.000000                0.000000  \n",
-       "042103   3.444143e-07         0.000011                0.000113  "
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df = xhgis.land_use_classification(gdf, unique_id=\"Station\")\n",
     "df"
@@ -1538,18 +267,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1500x750 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ax = xhgis.land_use_plot(gdf, unique_id=\"Station\", idx=2)"
    ]
@@ -1566,24 +284,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0f2b3eedba2140ca97cb7224f6c01cae",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "0it [00:00, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "datasets = {\n",
     "    \"era5_land_reanalysis\": {\"variables\": [\"t2m\", \"tp\", \"sd\"]},\n",
@@ -1619,433 +322,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 21MB\n",
-       "Dimensions:  (time: 262968, Station: 3)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2MB 1981-01-01 ... 2010-12-31T23:00:00\n",
-       "  * Station  (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
-       "    source   &lt;U20 80B &#x27;era5_land_reanalysis&#x27;\n",
-       "Data variables:\n",
-       "    tas      (Station, time) float64 6MB -23.29 -23.28 -23.49 ... 2.389 2.339\n",
-       "    pr       (Station, time) float64 6MB 0.0 0.0 0.0 ... 0.003698 0.0006662\n",
-       "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b6ea1c2a-c592-465c-993a-30c9487c86e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b6ea1c2a-c592-465c-993a-30c9487c86e5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 262968</li><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57020dcb-c361-4067-b8d7-ac6c77b1ceae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57020dcb-c361-4067-b8d7-ac6c77b1ceae' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-12-31T23:00:00</div><input id='attrs-e89797e1-b67b-4966-ae80-7178a30d4d69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e89797e1-b67b-4966-ae80-7178a30d4d69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0355fa-1a8f-4951-b6e5-7936b6da500f' class='xr-var-data-in' type='checkbox'><label for='data-fe0355fa-1a8f-4951-b6e5-7936b6da500f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-01T01:00:00.000000000&#x27;,\n",
-       "       &#x27;1981-01-01T02:00:00.000000000&#x27;, ..., &#x27;2010-12-31T21:00:00.000000000&#x27;,\n",
-       "       &#x27;2010-12-31T22:00:00.000000000&#x27;, &#x27;2010-12-31T23:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-83c03663-7b70-4310-979e-bd17d899cbf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83c03663-7b70-4310-979e-bd17d899cbf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b705bf8-f77f-46d3-bcf3-0bbcb0df91b5' class='xr-var-data-in' type='checkbox'><label for='data-4b705bf8-f77f-46d3-bcf3-0bbcb0df91b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-226f3cc7-55d6-4ca8-a411-70a94b47190f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-226f3cc7-55d6-4ca8-a411-70a94b47190f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eff6509-9eb5-45cd-81df-cfaa07aea0e9' class='xr-var-data-in' type='checkbox'><label for='data-3eff6509-9eb5-45cd-81df-cfaa07aea0e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ed84ab2-dcca-4da3-a20a-cc4013ce74ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ed84ab2-dcca-4da3-a20a-cc4013ce74ea' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.29 -23.28 ... 2.389 2.339</div><input id='attrs-a660109b-f14d-40e7-b977-c045dd6e4d0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a660109b-f14d-40e7-b977-c045dd6e4d0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-218215ec-90c5-4c2f-9aac-9d5c8014334a' class='xr-var-data-in' type='checkbox'><label for='data-218215ec-90c5-4c2f-9aac-9d5c8014334a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[-23.28822588, -23.27912287, -23.49087885, ...,   2.83788666,\n",
-       "          2.70646034,   2.4310486 ],\n",
-       "       [-23.31938812, -23.30393538, -23.54079412, ...,   2.86474679,\n",
-       "          2.73432873,   2.45404823],\n",
-       "       [-21.71574848, -21.86092699, -21.64519897, ...,   2.4546858 ,\n",
-       "          2.38858784,   2.33939909]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.003698 0.0006662</div><input id='attrs-bb47e3ff-80eb-4a08-930e-6cfc5b8e080d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb47e3ff-80eb-4a08-930e-6cfc5b8e080d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-986b3f88-73ba-4ad5-8a87-a4f80ecdcd3c' class='xr-var-data-in' type='checkbox'><label for='data-986b3f88-73ba-4ad5-8a87-a4f80ecdcd3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total precipitation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>228</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>mm d-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
-       "        2.05977317e-02, 3.16449758e-01, 1.18959296e+00],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
-       "        1.58205582e-02, 3.07860781e-01, 1.18625827e+00],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
-       "        6.75786463e-02, 3.69828482e-03, 6.66245147e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.07 55.07 55.07 ... 64.21 63.84</div><input id='attrs-55ebf468-bdc8-4b11-9649-c5077c81bd20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55ebf468-bdc8-4b11-9649-c5077c81bd20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ec8d510-90ce-414c-a861-03f7e416b854' class='xr-var-data-in' type='checkbox'><label for='data-6ec8d510-90ce-414c-a861-03f7e416b854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[55.0743319 , 55.07432449, 55.07432449, ..., 35.97044805,\n",
-       "        35.67134084, 35.41302639],\n",
-       "       [54.10321706, 54.10320674, 54.10320674, ..., 35.57231545,\n",
-       "        35.26789736, 35.00541001],\n",
-       "       [99.38436078, 99.3800334 , 99.37617487, ..., 64.57584623,\n",
-       "        64.20917775, 63.84102413]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7954d25c-878a-4ce5-96f6-7c5e3a81d395' class='xr-section-summary-in' type='checkbox'  ><label for='section-7954d25c-878a-4ce5-96f6-7c5e3a81d395' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-52d1fa27-03ab-4770-ab6a-b8113181159d' class='xr-index-data-in' type='checkbox'/><label for='index-52d1fa27-03ab-4770-ab6a-b8113181159d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01 00:00:00&#x27;, &#x27;1981-01-01 01:00:00&#x27;,\n",
-       "               &#x27;1981-01-01 02:00:00&#x27;, &#x27;1981-01-01 03:00:00&#x27;,\n",
-       "               &#x27;1981-01-01 04:00:00&#x27;, &#x27;1981-01-01 05:00:00&#x27;,\n",
-       "               &#x27;1981-01-01 06:00:00&#x27;, &#x27;1981-01-01 07:00:00&#x27;,\n",
-       "               &#x27;1981-01-01 08:00:00&#x27;, &#x27;1981-01-01 09:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2010-12-31 14:00:00&#x27;, &#x27;2010-12-31 15:00:00&#x27;,\n",
-       "               &#x27;2010-12-31 16:00:00&#x27;, &#x27;2010-12-31 17:00:00&#x27;,\n",
-       "               &#x27;2010-12-31 18:00:00&#x27;, &#x27;2010-12-31 19:00:00&#x27;,\n",
-       "               &#x27;2010-12-31 20:00:00&#x27;, &#x27;2010-12-31 21:00:00&#x27;,\n",
-       "               &#x27;2010-12-31 22:00:00&#x27;, &#x27;2010-12-31 23:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=262968, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-31ba317b-bf60-4ee7-896e-a632da47038c' class='xr-index-data-in' type='checkbox'/><label for='index-31ba317b-bf60-4ee7-896e-a632da47038c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5ff1a7ba-d514-456d-8bbd-29dc8ea40015' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ff1a7ba-d514-456d-8bbd-29dc8ea40015' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 21MB\n",
-       "Dimensions:  (time: 262968, Station: 3)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2MB 1981-01-01 ... 2010-12-31T23:00:00\n",
-       "  * Station  (Station) object 24B '031501' '031502' '042103'\n",
-       "    source   <U20 80B 'era5_land_reanalysis'\n",
-       "Data variables:\n",
-       "    tas      (Station, time) float64 6MB -23.29 -23.28 -23.49 ... 2.389 2.339\n",
-       "    pr       (Station, time) float64 6MB 0.0 0.0 0.0 ... 0.003698 0.0006662\n",
-       "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = ds.rename({\"t2m\": \"tas\", \"tp\": \"pr\", \"sd\": \"snd\"})\n",
     "ds[\"tas\"] = xclim.core.units.convert_units_to(\n",
@@ -2082,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2120,2004 +399,9 @@
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   {
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+   "execution_count": null,
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-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 54kB\n",
-       "Dimensions:               (Station: 3, time: 30)\n",
-       "Coordinates:\n",
-       "  * Station               (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
-       "    source                &lt;U20 80B &#x27;era5_land_reanalysis&#x27;\n",
-       "  * time                  (time) datetime64[ns] 240B 1981-01-01 ... 2010-01-01\n",
-       "Data variables: (12/75)\n",
-       "    tas_max_01            (Station, time) float64 720B 5.1 3.616 ... 3.161\n",
-       "    tas_max_02            (Station, time) float64 720B 13.23 1.781 ... 3.544\n",
-       "    tas_max_03            (Station, time) float64 720B 11.61 10.72 ... 12.78\n",
-       "    tas_max_04            (Station, time) float64 720B 19.4 20.66 ... 25.98\n",
-       "    tas_max_05            (Station, time) float64 720B 24.39 28.17 ... 32.24\n",
-       "    tas_max_06            (Station, time) float64 720B 29.32 28.33 ... 25.42\n",
-       "    ...                    ...\n",
-       "    snd_mean_10           (Station, time) float64 720B 0.3611 ... 0.4031\n",
-       "    snd_mean_11           (Station, time) float64 720B 4.29 2.369 ... 7.307\n",
-       "    snd_mean_12           (Station, time) float64 720B 44.07 5.757 ... 52.67\n",
-       "    snd_mean_spring       (Station, time) float64 720B 6.949 92.08 ... 33.31\n",
-       "    snd_mean_summer_fall  (Station, time) float64 720B 0.1345 0.1227 ... 0.7276\n",
-       "    snd_mean_year         (Station, time) float64 720B 14.36 47.45 ... 25.75\n",
-       "Attributes:\n",
-       "    cat:variable:          (&#x27;tas_max_01&#x27;,)\n",
-       "    cat:xrfreq:            YS-JAN\n",
-       "    cat:frequency:         yr\n",
-       "    cat:processing_level:  indicators\n",
-       "    cat:id:                </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2d02b0b3-2604-4cb9-9124-4d14453640fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d02b0b3-2604-4cb9-9124-4d14453640fe' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-39d1ff26-38a0-497a-baaa-c9843481fa23' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39d1ff26-38a0-497a-baaa-c9843481fa23' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-2ad1f979-e59f-4760-9460-c2dd58c4293f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ad1f979-e59f-4760-9460-c2dd58c4293f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a22262a-c738-426c-b1b7-d859ec149d1c' class='xr-var-data-in' type='checkbox'><label for='data-0a22262a-c738-426c-b1b7-d859ec149d1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-7cdaefce-9f5b-4cc9-9fa1-081feb033403' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7cdaefce-9f5b-4cc9-9fa1-081feb033403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd969da0-546f-4638-b223-b3e302d989ed' class='xr-var-data-in' type='checkbox'><label for='data-dd969da0-546f-4638-b223-b3e302d989ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-01-01</div><input id='attrs-fe40a1bb-c461-4214-b431-57f82ad1283b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe40a1bb-c461-4214-b431-57f82ad1283b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13291a5a-79b5-4448-a9d8-2268d08b16a7' class='xr-var-data-in' type='checkbox'><label for='data-13291a5a-79b5-4448-a9d8-2268d08b16a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1989-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1992-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1994-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1995-01-01T00:00:00.000000000&#x27;, &#x27;1996-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1997-01-01T00:00:00.000000000&#x27;, &#x27;1998-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63fc4efd-6910-4377-8267-3ec15acf4718' class='xr-section-summary-in' type='checkbox'  ><label for='section-63fc4efd-6910-4377-8267-3ec15acf4718' class='xr-section-summary' >Data variables: <span>(75)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.1 3.616 5.859 ... -4.901 3.161</div><input id='attrs-2bda39a9-1dfd-442d-a735-b76f5115857a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bda39a9-1dfd-442d-a735-b76f5115857a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b64b05c-378e-4794-a750-9c6c12a9f62e' class='xr-var-data-in' type='checkbox'><label for='data-8b64b05c-378e-4794-a750-9c6c12a9f62e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_01: fa.TAS_MAX_01(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.09970691,  3.61586845,  5.85897762,  2.75846328,  1.34307291,\n",
-       "         7.49477154, -0.11705404,  6.69048937,  5.34372221,  6.62090344,\n",
-       "         2.88713625,  4.73808158,  6.49090408,  6.78730596, 11.8859219 ,\n",
-       "        12.27703871,  5.59873414,  4.81807481,  9.12391615,  7.72375127,\n",
-       "         0.33653023,  4.61963334,  2.49816324,  4.16637352, 11.49726808,\n",
-       "         7.28978196,  7.10318437,  9.97727853, -0.37815915,  9.64856609],\n",
-       "       [ 5.13596802,  3.66389416,  5.94927364,  2.86461978,  1.6044473 ,\n",
-       "         7.55658552, -0.12096146,  6.72489395,  5.3503708 ,  6.67676318,\n",
-       "         2.95212524,  4.78564514,  6.53726962,  6.84094489, 11.93967389,\n",
-       "        12.29901885,  5.60932652,  4.84007213,  9.19720727,  7.77476672,\n",
-       "         0.34040129,  4.63641678,  2.49362044,  4.18374474, 11.53360721,\n",
-       "         7.33617264,  7.14414695, 10.01457632, -0.3560501 ,  9.68517166],\n",
-       "       [ 3.7206513 ,  2.94904376,  2.51073148,  1.54160011, -2.11923324,\n",
-       "         4.25832019,  1.64545087,  5.77418559,  4.39558379,  6.5456257 ,\n",
-       "         1.10929013,  2.18149223,  3.67288031, -1.49102634,  8.92987027,\n",
-       "         9.13321392,  5.29869101,  4.72591332,  7.98947545,  6.17163074,\n",
-       "        -0.98086383,  4.27317051, -1.22907417,  4.08838537,  9.01510864,\n",
-       "         3.96222893,  5.63500026,  7.2495975 , -4.90054071,  3.16118279]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.23 1.781 5.897 ... 4.389 3.544</div><input id='attrs-f7dce772-7d42-4e3c-aabd-1908c9d40ba5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7dce772-7d42-4e3c-aabd-1908c9d40ba5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75707f6d-3e9b-4a47-9d18-7900a10388cd' class='xr-var-data-in' type='checkbox'><label for='data-75707f6d-3e9b-4a47-9d18-7900a10388cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_02: fa.TAS_MAX_02(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.23417627,  1.78066639,  5.897047  ,  8.38189383,  6.23187165,\n",
-       "         3.94734765,  1.72950889,  6.77379236,  4.10767795,  5.71540183,\n",
-       "         5.29444258,  2.95601844, -1.41509585,  8.87637843,  3.55655692,\n",
-       "         6.42812942,  4.57582234,  4.88777957,  8.28514644, 11.30437158,\n",
-       "         7.53491747,  9.44713227,  2.53418957,  4.15654975,  5.40768459,\n",
-       "         6.84880538,  0.68767794,  8.8238776 ,  7.90971405,  5.38684185],\n",
-       "       [13.34969872,  1.86742987,  5.9609517 ,  8.46455814,  6.29953302,\n",
-       "         3.97536084,  1.67496152,  6.80201182,  4.09883566,  5.74894162,\n",
-       "         5.31779196,  3.01001241, -1.42117652,  8.91966168,  3.58702761,\n",
-       "         6.46013123,  4.63344934,  4.89811674,  8.35465443, 11.35825516,\n",
-       "         7.56801031,  9.48811607,  2.56849365,  4.17502177,  5.44809709,\n",
-       "         6.97055326,  0.69044224,  8.87410101,  7.93780327,  5.40386331],\n",
-       "       [ 6.45202093,  1.73467128,  4.26045011,  8.2703265 ,  3.88072955,\n",
-       "         1.69344975,  1.80403366,  4.03483321, -0.23827712,  4.24069304,\n",
-       "         5.98392509,  1.01665669,  0.96944758,  9.62264835,  2.18305335,\n",
-       "         3.89756401,  5.41739789,  4.86432367,  9.23841616,  7.23242825,\n",
-       "         6.06057013,  5.13294089,  1.78886811,  5.32394828,  5.31024798,\n",
-       "         1.63760055, -2.75672271,  4.33498612,  4.38857532,  3.54417938]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.61 10.72 8.643 ... 8.564 12.78</div><input id='attrs-e12de9ab-62cd-4984-aaf9-5e5925fb0230' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e12de9ab-62cd-4984-aaf9-5e5925fb0230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9882366e-e7ff-488c-96f8-1297d03c0368' class='xr-var-data-in' type='checkbox'><label for='data-9882366e-e7ff-488c-96f8-1297d03c0368' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_03: fa.TAS_MAX_03(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[11.61305029, 10.71718777,  8.64309063, 10.32050539,  9.69716317,\n",
-       "        18.77961093, 17.23333721, 14.9954171 , 14.51459046, 15.20588053,\n",
-       "        12.78535033,  9.73250638, 12.86451641,  7.32756386, 10.49041347,\n",
-       "        13.07040811, 12.42694272, 16.07648374, 11.62595186, 14.99437443,\n",
-       "        10.48934295, 11.11485805, 15.01684557, 15.03942675, 12.45393504,\n",
-       "        16.75749747, 10.84847393,  6.03940021, 11.28109953, 11.39654197],\n",
-       "       [11.70581574, 10.77295229,  8.65726578, 10.3744815 ,  9.70867323,\n",
-       "        18.83533191, 17.29872489, 15.25949404, 14.62612218, 15.27950093,\n",
-       "        12.90176465,  9.75789743, 12.90706973,  7.34762863, 10.57412707,\n",
-       "        13.17452561, 12.44742536, 16.23122463, 11.67172479, 15.04303022,\n",
-       "        10.49061158, 11.16985495, 14.99866121, 15.62845381, 12.50942322,\n",
-       "        16.76794633, 10.89478063,  6.09437931, 11.28973406, 11.53320403],\n",
-       "       [ 9.6263103 , 11.24874114,  8.52152105,  7.94292992,  9.25771892,\n",
-       "        13.28065837, 14.70394159,  9.57683489, 12.19222383, 11.95864136,\n",
-       "         8.98142204,  7.1161893 , 13.19084133,  7.37957094, 13.87068545,\n",
-       "         9.18176518,  8.14605903, 14.29230419, 13.05173594, 14.14402528,\n",
-       "         6.49240969, 10.02428916, 10.11021337, 10.47194356,  8.11688514,\n",
-       "        12.62682089, 10.47658946,  8.4390292 ,  8.5637746 , 12.7773343 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>19.4 20.66 19.51 ... 24.34 25.98</div><input id='attrs-5d322dba-9658-41bf-9fcc-2fed8e5077e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d322dba-9658-41bf-9fcc-2fed8e5077e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15fcba80-fda5-420b-b3ca-1ea5558b5bbf' class='xr-var-data-in' type='checkbox'><label for='data-15fcba80-fda5-420b-b3ca-1ea5558b5bbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_04: fa.TAS_MAX_04(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[19.39515357, 20.66427124, 19.51287867, 25.47683751, 20.6514128 ,\n",
-       "        26.68252749, 26.4755039 , 16.25758269, 17.1177428 , 27.96696261,\n",
-       "        20.64237561, 22.43228958, 21.59984323, 19.98165245, 16.07924523,\n",
-       "        18.39598937, 18.90702826, 20.94077889, 18.2127576 , 15.91616279,\n",
-       "        18.26979463, 23.70899174, 20.00611052, 23.76413551, 19.63660639,\n",
-       "        21.60530847, 23.87053729, 21.6293612 , 25.70181959, 25.23736619],\n",
-       "       [19.4313783 , 20.697013  , 19.52842706, 25.49956609, 20.68849699,\n",
-       "        26.69084351, 26.45252279, 16.34621327, 17.09906318, 27.95275766,\n",
-       "        20.60780575, 22.49067426, 21.61153513, 20.01534891, 16.13155258,\n",
-       "        18.42029146, 19.01571499, 20.92494221, 18.19802506, 15.95383941,\n",
-       "        18.38983146, 23.71937057, 20.05056598, 23.77668492, 19.64146391,\n",
-       "        21.7433102 , 23.8861419 , 21.66154222, 25.71552535, 25.30033799],\n",
-       "       [18.3652733 , 17.53684556, 19.77353556, 21.323609  , 23.54883511,\n",
-       "        25.46184117, 26.66500935, 15.72250082, 14.44136964, 26.68259053,\n",
-       "        21.49174624, 14.33380102, 18.24175537, 18.3300821 , 11.27893234,\n",
-       "        11.36429905, 14.63432526, 21.43687595, 18.21691446, 17.71896852,\n",
-       "        22.36480383, 23.85309229, 21.38794169, 21.43468718, 19.39423135,\n",
-       "        19.68412749, 21.75884815, 22.42963118, 24.34417958, 25.98413932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.39 28.17 21.1 ... 24.25 32.24</div><input id='attrs-7a6282ac-4a27-4aba-9404-6b2a9d20b458' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a6282ac-4a27-4aba-9404-6b2a9d20b458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ce82ac9-8a28-4b33-93ca-8bbb4e5cb8c3' class='xr-var-data-in' type='checkbox'><label for='data-2ce82ac9-8a28-4b33-93ca-8bbb4e5cb8c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_05: fa.TAS_MAX_05(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[24.38602987, 28.16957303, 21.10499226, 24.25835686, 25.65742324,\n",
-       "        28.02222953, 28.53325718, 24.40578997, 28.77736928, 24.83001733,\n",
-       "        29.62038136, 28.9132663 , 23.88875426, 27.1079459 , 25.77400616,\n",
-       "        25.74897614, 22.38804048, 28.57039661, 30.14537914, 26.50799883,\n",
-       "        26.39230463, 25.70207489, 26.46354055, 27.87620306, 24.9409834 ,\n",
-       "        28.75223319, 29.06376559, 24.19901454, 26.65315594, 31.7088411 ],\n",
-       "       [24.40006753, 28.18414887, 21.11704976, 24.27472971, 25.65826026,\n",
-       "        28.08036824, 28.5567923 , 24.38715924, 28.76091707, 24.86806156,\n",
-       "        29.58633315, 28.90071095, 23.8882835 , 27.0914646 , 25.75852518,\n",
-       "        25.75607893, 22.39873203, 28.57913775, 30.15038937, 26.51920608,\n",
-       "        26.38742174, 25.70627389, 26.44962124, 27.90784929, 24.95241214,\n",
-       "        28.77514752, 29.05682014, 24.20595933, 26.65110504, 31.66957835],\n",
-       "       [25.10265365, 26.13891732, 22.88747297, 20.0947704 , 23.85722848,\n",
-       "        28.64437858, 27.90598922, 27.95612351, 26.54612167, 22.06627192,\n",
-       "        26.49697673, 26.3793735 , 28.05709184, 26.832759  , 25.42372398,\n",
-       "        23.2965823 , 20.48146432, 31.58755951, 27.78139509, 26.55128657,\n",
-       "        25.68825293, 24.60228629, 23.72480674, 26.81728379, 24.65675075,\n",
-       "        30.41104706, 28.26391113, 19.83283806, 24.25107572, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 31.99 ... 30.66 25.42</div><input id='attrs-bbe360e9-68b8-4d6a-982a-5a569f8609e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbe360e9-68b8-4d6a-982a-5a569f8609e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ac28b16-b8e2-4fad-870f-13aa2af51192' class='xr-var-data-in' type='checkbox'><label for='data-7ac28b16-b8e2-4fad-870f-13aa2af51192' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_06: fa.TAS_MAX_06(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 31.99417065, 29.25685908, 26.23459714,\n",
-       "        26.56160073, 30.98791636, 33.48695397, 31.71860745, 27.22914627,\n",
-       "        31.34577554, 29.45845522, 28.27114106, 32.07804509, 34.08436674,\n",
-       "        27.54956721, 31.38521307, 29.42217243, 31.29059367, 27.78569721,\n",
-       "        32.41092857, 27.25306955, 32.66015494, 28.03907184, 31.37836526,\n",
-       "        30.19420228, 30.12521476, 29.65699452, 29.31982926, 28.63271835],\n",
-       "       [29.3232176 , 28.32163051, 31.96959878, 29.26108121, 26.24084109,\n",
-       "        26.6111484 , 30.96444135, 33.47419035, 31.71416189, 27.2412937 ,\n",
-       "        31.32595475, 29.46571538, 28.25571497, 32.06233932, 34.11716534,\n",
-       "        27.5321431 , 31.37992645, 29.4280263 , 31.29507563, 27.80230808,\n",
-       "        32.40356792, 27.25652011, 32.63969415, 28.03661036, 31.37597518,\n",
-       "        30.20078541, 30.12753872, 29.64117769, 29.32715883, 28.6320129 ],\n",
-       "       [26.51960346, 25.18215287, 30.27622391, 26.98811584, 25.73152407,\n",
-       "        25.99474204, 30.71735504, 32.31060607, 28.29347169, 27.59748911,\n",
-       "        29.122464  , 28.50182986, 28.36394375, 31.02018307, 34.82043507,\n",
-       "        28.00472406, 29.8228807 , 28.95876441, 30.4277248 , 25.99397644,\n",
-       "        31.03007011, 28.79280337, 31.21388901, 27.10716262, 31.84135424,\n",
-       "        28.9232173 , 29.64953656, 25.44460638, 30.65900392, 25.42443101]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 25.19 30.29</div><input id='attrs-99e16d1c-031a-4db6-9a7e-4687dbaf53f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99e16d1c-031a-4db6-9a7e-4687dbaf53f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aba52b6c-b78a-42d7-aa77-614f5e34a090' class='xr-var-data-in' type='checkbox'><label for='data-aba52b6c-b78a-42d7-aa77-614f5e34a090' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_07: fa.TAS_MAX_07(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 29.93280616, 31.14183534,\n",
-       "        30.53145267, 31.93422015, 33.39342194, 31.61153884, 29.99426495,\n",
-       "        33.16331222, 26.55791614, 32.45545356, 30.44989024, 32.1329486 ,\n",
-       "        27.02761575, 29.67049013, 30.04351186, 30.95179553, 26.96749387,\n",
-       "        30.58251151, 31.83551545, 28.45266753, 29.75060225, 30.40140125,\n",
-       "        31.0491655 , 29.3688965 , 30.00300746, 27.85929982, 32.42969783],\n",
-       "       [31.24724762, 32.09330985, 33.10581228, 29.90197182, 31.16195562,\n",
-       "        30.54419049, 31.93373816, 33.42221195, 31.59700729, 29.98908743,\n",
-       "        33.14753505, 26.57391678, 32.46203007, 30.4658307 , 32.15847185,\n",
-       "        27.01222469, 29.66154006, 30.05423316, 30.96137765, 26.9743732 ,\n",
-       "        30.60040171, 31.80143749, 28.49706477, 29.76107429, 30.39498802,\n",
-       "        31.02933808, 29.36349353, 30.01969436, 27.89154373, 32.42311336],\n",
-       "       [31.41654478, 30.21777965, 29.99867504, 26.93282691, 26.6807832 ,\n",
-       "        28.67341768, 30.88959239, 34.34709354, 31.00392566, 30.67871838,\n",
-       "        32.11178281, 24.58506845, 31.23530002, 28.88614308, 29.97713535,\n",
-       "        26.73484998, 30.18193024, 31.76906317, 29.26651846, 26.82891583,\n",
-       "        30.46803785, 31.16902562, 28.51802119, 27.63115102, 34.46092142,\n",
-       "        29.57752707, 28.29858769, 25.4330964 , 25.19069016, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.18 26.86 28.8 ... 27.65 29.36</div><input id='attrs-df74686b-0ef8-45a1-af6c-846f62f94fa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df74686b-0ef8-45a1-af6c-846f62f94fa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e4ef073-b704-4762-b07d-a3d5d2b0df81' class='xr-var-data-in' type='checkbox'><label for='data-8e4ef073-b704-4762-b07d-a3d5d2b0df81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_08: fa.TAS_MAX_08(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[28.17966358, 26.85535179, 28.80468796, 30.21855922, 29.42490858,\n",
-       "        26.40210622, 30.28561027, 32.76663754, 28.44456825, 30.43126315,\n",
-       "        29.68052601, 28.37168961, 30.26502452, 27.22189891, 30.03467127,\n",
-       "        29.93451   , 30.3023172 , 29.93087748, 28.23554437, 25.91378625,\n",
-       "        32.19596358, 32.60162181, 28.79110356, 27.14498163, 29.7177641 ,\n",
-       "        29.63492607, 31.10080751, 27.40994338, 30.2338651 , 31.51508876],\n",
-       "       [28.17502424, 26.85288302, 28.77760105, 30.19541016, 29.42109236,\n",
-       "        26.40442951, 30.29332925, 32.7711076 , 28.42752694, 30.38747611,\n",
-       "        29.65635216, 28.37082745, 30.24699413, 27.22796501, 30.03806828,\n",
-       "        29.93770536, 30.28266697, 29.92472608, 28.22448852, 25.91630063,\n",
-       "        32.20339165, 32.60950278, 28.78978453, 27.12999917, 29.71600212,\n",
-       "        29.65315478, 31.1013523 , 27.43769804, 30.24413682, 31.48122368],\n",
-       "       [27.55078946, 27.11999592, 27.71833631, 27.73922751, 27.46176547,\n",
-       "        24.71592146, 26.91750235, 32.26845506, 29.93248986, 27.35225784,\n",
-       "        29.26355806, 27.36094918, 29.92569448, 24.20641416, 29.52395059,\n",
-       "        28.03303595, 27.77450769, 29.93343822, 26.66697334, 26.83474853,\n",
-       "        33.37150503, 30.12011178, 29.97201825, 26.57843995, 29.87970269,\n",
-       "        31.99623582, 31.97687612, 26.92012936, 27.65231728, 29.3620336 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.26 27.06 30.07 ... 23.6 29.34</div><input id='attrs-9a0fd161-def9-4703-9dbf-9f9c9e017e78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a0fd161-def9-4703-9dbf-9f9c9e017e78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26ec08e0-1c2d-46b3-81fb-659fd05af5a6' class='xr-var-data-in' type='checkbox'><label for='data-26ec08e0-1c2d-46b3-81fb-659fd05af5a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_09: fa.TAS_MAX_09(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[25.26334592, 27.05687938, 30.07035057, 23.75177961, 27.23758261,\n",
-       "        22.8107774 , 24.29402437, 25.45705246, 27.35301185, 25.39005673,\n",
-       "        23.6744446 , 25.8353973 , 26.82559265, 22.32231191, 24.41230352,\n",
-       "        27.16377256, 23.73894301, 24.9241144 , 31.16370321, 25.04506065,\n",
-       "        28.45385643, 31.58852846, 27.07255084, 24.33110023, 28.69326885,\n",
-       "        23.89180609, 29.58471441, 29.66486755, 24.04060486, 31.18047607],\n",
-       "       [25.27684937, 27.06914911, 30.07543815, 23.80141125, 27.22537106,\n",
-       "        22.77449977, 24.28399329, 25.45368254, 27.36484323, 25.39440316,\n",
-       "        23.67718376, 25.85667132, 26.84348551, 22.37227545, 24.41102615,\n",
-       "        27.17697053, 23.71876056, 24.93549883, 31.15934487, 25.07230623,\n",
-       "        28.47071589, 31.54860191, 27.09089394, 24.36014811, 28.71029031,\n",
-       "        23.9219343 , 29.61353089, 29.71428101, 24.02241514, 31.20625519],\n",
-       "       [23.31622243, 27.1674751 , 28.43767582, 24.17405481, 25.96026678,\n",
-       "        22.68840729, 24.8310661 , 24.45197827, 25.17544503, 25.06783143,\n",
-       "        24.8474844 , 23.02929778, 24.21105206, 24.66219382, 21.74431112,\n",
-       "        26.84298263, 23.33105941, 24.88713139, 31.63901491, 24.78235018,\n",
-       "        27.17322498, 30.67407193, 26.61334625, 26.63631531, 28.66473196,\n",
-       "        22.74464785, 28.26882757, 26.77054608, 23.60499643, 29.33840064]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.22 18.71 23.7 ... 14.32 17.03</div><input id='attrs-064787d5-5a4d-4bb4-855c-420dc9812bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-064787d5-5a4d-4bb4-855c-420dc9812bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecb89f40-2c52-4473-a4c7-50eae0fa7866' class='xr-var-data-in' type='checkbox'><label for='data-ecb89f40-2c52-4473-a4c7-50eae0fa7866' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_10: fa.TAS_MAX_10(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[14.21522858, 18.71072218, 23.69887328, 20.81871398, 18.90669892,\n",
-       "        18.9271361 , 19.94816343, 22.04048694, 19.43787176, 22.28717467,\n",
-       "        23.40753457, 18.16148173, 18.44713244, 21.2148752 , 21.8617981 ,\n",
-       "        19.11045932, 20.86434097, 20.39946468, 18.69863101, 21.13150452,\n",
-       "        21.76957439, 23.97855868, 21.45896481, 22.05750783, 24.45332557,\n",
-       "        19.85304008, 22.8255687 , 20.99833958, 15.51581298, 17.81005604],\n",
-       "       [14.23614095, 18.73818792, 23.70984449, 20.83187957, 18.91216868,\n",
-       "        18.91920486, 19.97568273, 22.06416756, 19.51036022, 22.31422388,\n",
-       "        23.51396147, 18.18981293, 18.47579553, 21.2380236 , 21.87099609,\n",
-       "        19.12549863, 20.87360905, 20.43871421, 18.73563856, 21.1417174 ,\n",
-       "        21.81562522, 23.99102411, 21.48171586, 22.07891209, 24.47015216,\n",
-       "        19.83641531, 22.85279576, 21.03604862, 15.55628433, 17.80116019],\n",
-       "       [14.61619529, 17.2986247 , 22.16798635, 19.40782524, 17.04152385,\n",
-       "        16.40079577, 17.72846859, 19.30285517, 20.21900332, 19.21246204,\n",
-       "        21.8368917 , 18.97941906, 14.4676872 , 20.10966932, 22.86592182,\n",
-       "        21.54504378, 24.08130134, 16.81095732, 18.9991644 , 21.13580449,\n",
-       "        19.80242205, 22.90478307, 21.89797803, 22.3317542 , 25.89768074,\n",
-       "        18.43346109, 22.90803447, 21.95260714, 14.31996565, 17.0308429 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.87 17.99 12.98 ... 12.77 10.2</div><input id='attrs-d2e5f434-c97e-4cd4-a7e3-7718973bdf70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2e5f434-c97e-4cd4-a7e3-7718973bdf70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f81504ec-0368-4663-9651-3018c98e71a1' class='xr-var-data-in' type='checkbox'><label for='data-f81504ec-0368-4663-9651-3018c98e71a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:41:59] tas_max_11: fa.TAS_MAX_11(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.86798871, 17.98689099, 12.9784809 , 12.39670398, 15.82966021,\n",
-       "        12.26194062, 14.59106206, 18.04080973, 17.6654675 , 15.68103446,\n",
-       "        15.80102072, 12.78218631, 12.08320133, 15.61558057, 14.06306938,\n",
-       "        18.72976064, 17.22767828, 10.92935027, 18.57786503, 11.72328105,\n",
-       "        16.36810215, 16.92596388, 15.59591226, 12.45248948, 16.74528957,\n",
-       "        17.62491134, 12.83015589, 15.90801443, 14.45623441, 10.46887833],\n",
-       "       [10.8757429 , 18.05123932, 13.08662352, 12.40611287, 15.87020229,\n",
-       "        12.27761464, 14.63143553, 18.10648566, 17.70994743, 15.74535237,\n",
-       "        15.85830987, 12.81175251, 12.15557411, 15.65043365, 14.12704083,\n",
-       "        18.75968654, 17.29147187, 10.94785338, 18.58779894, 11.75887174,\n",
-       "        16.44310632, 16.96068912, 15.62043981, 12.51833202, 16.7746892 ,\n",
-       "        17.66230962, 12.84752777, 15.92718333, 14.52322669, 10.55562463],\n",
-       "       [12.79814077, 13.00138578, 11.96260773, 13.30322513, 13.72495045,\n",
-       "         9.94010312, 12.13503039, 11.8629249 ,  7.75307518, 14.04030046,\n",
-       "        11.00153309,  9.90863331,  6.90436888, 13.04713684,  9.07567283,\n",
-       "        12.01019699, 11.58613623, 11.66938966, 15.4715553 , 14.793425  ,\n",
-       "        12.63670252, 11.39179375, 12.04596577,  8.99766284, 13.85109253,\n",
-       "        11.78235302,  9.48972894, 17.73166998, 12.76505001, 10.20001641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.383 13.13 4.912 ... 4.834 6.707</div><input id='attrs-4110d9ff-35a1-4272-96df-44c922d2b7c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4110d9ff-35a1-4272-96df-44c922d2b7c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a3d2e6d-045e-41b6-a295-d5ab06707691' class='xr-var-data-in' type='checkbox'><label for='data-8a3d2e6d-045e-41b6-a295-d5ab06707691' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:00] tas_max_12: fa.TAS_MAX_12(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.38271191, 13.13448333,  4.91219235,  7.68183075,  6.54147667,\n",
-       "         3.28572371,  4.88942874,  6.27181673,  3.93740904,  6.16202592,\n",
-       "         8.44480589,  6.30659249,  5.14781433,  7.26483431,  1.7370562 ,\n",
-       "         9.64866386,  2.35797816, 12.39294195, 10.57464023, 11.47649713,\n",
-       "        12.47851361,  4.83473215,  7.08702087, 10.97439091,  3.58260414,\n",
-       "         7.32721918,  8.4814405 ,  8.83115662,  5.36762827,  7.78541986],\n",
-       "       [ 4.46127376, 13.17231467,  4.92873977,  7.72100687,  6.65238686,\n",
-       "         3.3039907 ,  4.96900224,  6.29090628,  3.98108897,  6.35419013,\n",
-       "         8.47780286,  6.32966815,  5.17392336,  7.26459563,  1.72744366,\n",
-       "         9.69325748,  2.35369518, 12.43070917, 10.61234066, 11.55495519,\n",
-       "        12.54211945,  4.95971243,  7.1396932 , 11.01516044,  3.56215591,\n",
-       "         7.35059633,  8.54608436,  8.86871624,  5.40213796,  7.81652659],\n",
-       "       [ 2.82747726, 12.50324542,  1.89003518,  9.1106422 ,  5.50329303,\n",
-       "         0.90656062,  4.29217972,  5.82151691, -1.0780956 ,  6.11056942,\n",
-       "         6.81774012,  6.04372502,  5.48015272,  5.97828411,  1.4210189 ,\n",
-       "         6.47760415,  4.10828356,  7.71724402,  7.29891624,  2.26967208,\n",
-       "        12.96145447,  3.32140362,  4.67729799,  6.92882636,  1.15374292,\n",
-       "         4.49616205,  3.52927418,  9.90759802,  4.83350128,  6.7067143 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 30.86 ... 26.23 32.24</div><input id='attrs-1256f5c2-d60c-4174-834a-eb1b5607a993' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1256f5c2-d60c-4174-834a-eb1b5607a993' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4b781ec-8efd-4f40-89af-45c3d35bce5a' class='xr-var-data-in' type='checkbox'><label for='data-b4b781ec-8efd-4f40-89af-45c3d35bce5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:03] tas_max_spring: fa.TAS_MAX_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 30.85799541, 29.25685908, 25.65742324,\n",
-       "        28.02222953, 28.53325718, 33.48695397, 28.77736928, 27.96696261,\n",
-       "        29.62038136, 29.45845522, 28.27114106, 32.07804509, 34.08436674,\n",
-       "        27.54956721, 31.38521307, 28.57039661, 30.21050022, 26.50799883,\n",
-       "        32.41092857, 25.70207489, 26.46354055, 28.03907184, 29.28987935,\n",
-       "        30.19420228, 30.12521476, 29.65699452, 26.65315594, 31.7088411 ],\n",
-       "       [29.3232176 , 28.32163051, 30.85893027, 29.26108121, 25.65826026,\n",
-       "        28.08036824, 28.5567923 , 33.47419035, 28.76091707, 27.95275766,\n",
-       "        29.58633315, 29.46571538, 28.25571497, 32.06233932, 34.11716534,\n",
-       "        27.5321431 , 31.37992645, 28.57913775, 30.1961637 , 26.51920608,\n",
-       "        32.40356792, 25.70627389, 26.44962124, 28.03661036, 29.28796266,\n",
-       "        30.20078541, 30.12753872, 29.64117769, 26.65110504, 31.66957835],\n",
-       "       [26.51960346, 26.13891732, 28.75764082, 26.98811584, 23.85722848,\n",
-       "        28.64437858, 27.90598922, 32.31060607, 26.54612167, 27.59748911,\n",
-       "        28.02508909, 28.50182986, 28.05709184, 31.02018307, 34.82043507,\n",
-       "        25.46558844, 29.8228807 , 31.58755951, 30.4277248 , 26.55128657,\n",
-       "        31.03007011, 24.60228629, 25.26348659, 27.10716262, 30.57577324,\n",
-       "        30.41104706, 29.46598835, 25.44460638, 26.23343072, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 30.29</div><input id='attrs-3a671af3-f092-4359-be80-71cba0cfeaa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a671af3-f092-4359-be80-71cba0cfeaa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d828958a-4d00-404a-add9-8bd7bb6e630a' class='xr-var-data-in' type='checkbox'><label for='data-d828958a-4d00-404a-add9-8bd7bb6e630a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:05] tas_max_summer_fall: fa.TAS_MAX_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
-       "        30.53145267, 31.93422015, 33.39342194, 31.71860745, 30.43126315,\n",
-       "        33.16331222, 28.37168961, 32.45545356, 30.44989024, 32.1329486 ,\n",
-       "        29.93451   , 30.3023172 , 30.04351186, 31.29059367, 27.78569721,\n",
-       "        32.19596358, 32.60162181, 32.66015494, 29.75060225, 31.37836526,\n",
-       "        31.0491655 , 31.10080751, 30.00300746, 30.2338651 , 32.42969783],\n",
-       "       [31.24724762, 32.09330985, 33.10581228, 30.19541016, 31.16195562,\n",
-       "        30.54419049, 31.93373816, 33.42221195, 31.71416189, 30.38747611,\n",
-       "        33.14753505, 28.37082745, 32.46203007, 30.4658307 , 32.15847185,\n",
-       "        29.93770536, 30.28266697, 30.05423316, 31.29507563, 27.80230808,\n",
-       "        32.20339165, 32.60950278, 32.63969415, 29.76107429, 31.37597518,\n",
-       "        31.02933808, 31.1013523 , 30.01969436, 30.24413682, 32.42311336],\n",
-       "       [31.41654478, 30.21777965, 30.27622391, 27.73922751, 27.46176547,\n",
-       "        28.67341768, 30.88959239, 34.34709354, 31.00392566, 30.67871838,\n",
-       "        32.11178281, 27.36094918, 31.23530002, 28.88614308, 30.88460136,\n",
-       "        28.03303595, 30.18193024, 31.76906317, 31.63901491, 26.83474853,\n",
-       "        33.37150503, 31.16902562, 31.21388901, 27.63115102, 34.46092142,\n",
-       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 32.24</div><input id='attrs-a7fabaa9-1764-4062-8b0a-60512a018b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7fabaa9-1764-4062-8b0a-60512a018b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0869dd18-5b87-406f-9f59-11e0113c40dc' class='xr-var-data-in' type='checkbox'><label for='data-0869dd18-5b87-406f-9f59-11e0113c40dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_max_year: fa.TAS_MAX_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
-       "        30.53145267, 31.93422015, 33.48695397, 31.71860745, 30.43126315,\n",
-       "        33.16331222, 29.45845522, 32.45545356, 32.07804509, 34.08436674,\n",
-       "        29.93451   , 31.38521307, 30.04351186, 31.29059367, 27.78569721,\n",
-       "        32.41092857, 32.60162181, 32.66015494, 29.75060225, 31.37836526,\n",
-       "        31.0491655 , 31.10080751, 30.00300746, 30.2338651 , 32.42969783],\n",
-       "       [31.24724762, 32.09330985, 33.10581228, 30.19541016, 31.16195562,\n",
-       "        30.54419049, 31.93373816, 33.47419035, 31.71416189, 30.38747611,\n",
-       "        33.14753505, 29.46571538, 32.46203007, 32.06233932, 34.11716534,\n",
-       "        29.93770536, 31.37992645, 30.05423316, 31.29507563, 27.80230808,\n",
-       "        32.40356792, 32.60950278, 32.63969415, 29.76107429, 31.37597518,\n",
-       "        31.02933808, 31.1013523 , 30.01969436, 30.24413682, 32.42311336],\n",
-       "       [31.41654478, 30.21777965, 30.27622391, 27.73922751, 27.46176547,\n",
-       "        28.67341768, 30.88959239, 34.34709354, 31.00392566, 30.67871838,\n",
-       "        32.11178281, 28.50182986, 31.23530002, 31.02018307, 34.82043507,\n",
-       "        28.03303595, 30.18193024, 31.76906317, 31.63901491, 26.83474853,\n",
-       "        33.37150503, 31.16902562, 31.21388901, 27.63115102, 34.46092142,\n",
-       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.86 -16.34 ... -16.31 -10.03</div><input id='attrs-d7bec3f0-1b3d-4d3f-9f46-0adf675de7a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7bec3f0-1b3d-4d3f-9f46-0adf675de7a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1246d45a-d08b-464b-8b22-609635f1cfb5' class='xr-var-data-in' type='checkbox'><label for='data-1246d45a-d08b-464b-8b22-609635f1cfb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_01: fa.TAS_MEAN_01(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-15.86497321, -16.33969214,  -9.5379092 , -12.50628881,\n",
-       "        -14.69625288, -10.93495449, -11.05264325,  -9.49931318,\n",
-       "         -8.85270443,  -5.1113085 , -11.4012696 , -12.43469499,\n",
-       "        -11.25345114, -17.60201008,  -7.29116191, -11.9134013 ,\n",
-       "        -10.98860161,  -8.57331874, -11.03580314, -11.24238475,\n",
-       "        -10.55424157,  -6.02019414, -14.09076725, -16.17110177,\n",
-       "        -13.05489169,  -5.98896853,  -8.99857926,  -7.81798324,\n",
-       "        -15.01662145,  -7.12324418],\n",
-       "       [-15.85204089, -16.31593269,  -9.51231017, -12.47395865,\n",
-       "        -14.67662927, -10.90640917, -11.04050004,  -9.46673454,\n",
-       "         -8.81966244,  -5.07693739, -11.36949852, -12.40671977,\n",
-       "        -11.20764284, -17.56982514,  -7.26792561, -11.88660091,\n",
-       "        -10.96075682,  -8.54645456, -11.00796165, -11.21431467,\n",
-       "        -10.53032237,  -5.98221123, -14.06825017, -16.15107415,\n",
-       "        -13.01768498,  -5.95911174,  -8.95834323,  -7.77952386,\n",
-       "        -14.99091126,  -7.11272517],\n",
-       "       [-16.32719499, -18.37919247, -11.09643096, -15.07422742,\n",
-       "        -15.37569786, -13.40593297, -10.05539367, -11.46534881,\n",
-       "         -9.97347968,  -6.78169071, -12.74366539, -12.88429548,\n",
-       "        -11.73572509, -21.05873972,  -8.70020484, -14.20248798,\n",
-       "        -13.85377924,  -9.4898169 , -12.67474909, -13.54329138,\n",
-       "        -10.51213507,  -7.49308621, -15.51268248, -18.23541792,\n",
-       "        -14.82890051,  -7.07876572, -10.22231221,  -9.06304163,\n",
-       "        -16.31290385, -10.03479048]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.475 -10.31 ... -9.99 -8.503</div><input id='attrs-5a400917-2ccf-4b62-a80d-ef1d6dc58c4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a400917-2ccf-4b62-a80d-ef1d6dc58c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59186006-de15-43fe-ab46-18c55e0f9ddd' class='xr-var-data-in' type='checkbox'><label for='data-59186006-de15-43fe-ab46-18c55e0f9ddd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_02: fa.TAS_MEAN_02(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -2.47509696, -10.30819772,  -7.43584723,  -4.16102895,\n",
-       "         -7.24039875, -10.35927009, -11.65229745,  -8.51372551,\n",
-       "        -10.30816849,  -8.64124854,  -6.94455197,  -9.64027571,\n",
-       "        -14.51886715, -12.28660336, -10.91155566,  -9.50406365,\n",
-       "         -8.08340566,  -4.6653674 ,  -6.68371277,  -7.79388107,\n",
-       "         -8.97387106,  -6.30222918, -11.94089964,  -8.07525905,\n",
-       "         -7.66764676,  -8.77370237, -12.17486621,  -8.21732003,\n",
-       "         -7.62501837,  -5.38291391],\n",
-       "       [ -2.43698638, -10.28344197,  -7.42050744,  -4.14438962,\n",
-       "         -7.22609138, -10.34141862, -11.64427232,  -8.49800543,\n",
-       "        -10.28707871,  -8.61306009,  -6.92650358,  -9.61941284,\n",
-       "        -14.50711771, -12.25807179, -10.893613  ,  -9.48607898,\n",
-       "         -8.04891576,  -4.65097791,  -6.66088192,  -7.76908265,\n",
-       "         -8.94777448,  -6.26384159, -11.91324172,  -8.06019374,\n",
-       "         -7.66248658,  -8.75584106, -12.15530519,  -8.19553529,\n",
-       "         -7.60154316,  -5.38923762],\n",
-       "       [ -5.55894169, -12.27180546,  -9.02540228,  -5.96311295,\n",
-       "        -10.04604977, -12.01054453, -11.77201874, -12.31388397,\n",
-       "        -13.89653857,  -9.86108154,  -8.43000824, -11.62352094,\n",
-       "        -15.60865836, -14.35288701, -14.01014843, -12.6555352 ,\n",
-       "        -10.26513697,  -5.40606857,  -7.84709827,  -8.56021337,\n",
-       "        -10.67889234,  -8.6374    , -14.5015305 ,  -9.44094633,\n",
-       "         -8.7514507 , -10.80998145, -14.62965932, -11.11796461,\n",
-       "         -9.99043049,  -8.50322186]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.635 -3.247 ... -5.003 -0.9097</div><input id='attrs-bcefa1a0-0980-44a8-a0ec-b401bda054e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcefa1a0-0980-44a8-a0ec-b401bda054e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81336e4d-0a45-4fed-bf83-a929ccbf11b6' class='xr-var-data-in' type='checkbox'><label for='data-81336e4d-0a45-4fed-bf83-a929ccbf11b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_03: fa.TAS_MEAN_03(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-1.63544624, -3.24685069, -1.57580582, -6.67214365, -3.61207681,\n",
-       "        -2.55116747, -1.27056596, -3.75577746, -5.44447142, -2.8805535 ,\n",
-       "        -1.64632594, -5.58901258, -4.51408736, -2.81521978, -1.24918128,\n",
-       "        -3.76949835, -5.00317966, -1.89197577, -2.25587612,  0.79149641,\n",
-       "        -3.81389547, -2.91328866, -4.41978547, -1.22202072, -3.95391863,\n",
-       "        -2.18573737, -4.31405856, -4.77309835, -2.79936403,  0.62626561],\n",
-       "       [-1.61324985, -3.22766515, -1.5607546 , -6.66592181, -3.59181998,\n",
-       "        -2.53110823, -1.25526962, -3.73623218, -5.42400569, -2.86338379,\n",
-       "        -1.62166298, -5.57708542, -4.50525177, -2.80520317, -1.21949421,\n",
-       "        -3.73980562, -4.98832801, -1.87511659, -2.25200263,  0.81583901,\n",
-       "        -3.80919102, -2.87931863, -4.40191765, -1.18263204, -3.95048562,\n",
-       "        -2.18137094, -4.2963021 , -4.75396036, -2.77651311,  0.64305291],\n",
-       "       [-4.02614152, -5.58437896, -3.95650702, -9.01417751, -5.66991648,\n",
-       "        -4.57358407, -2.72320315, -6.38265882, -7.78580379, -4.7447357 ,\n",
-       "        -4.69894272, -8.11205475, -5.29567229, -4.92897965, -2.69080046,\n",
-       "        -7.32382738, -7.14071764, -3.50634867, -5.11284617, -1.08615268,\n",
-       "        -5.40585887, -6.38115556, -6.17811086, -3.27355144, -6.71115859,\n",
-       "        -4.26642457, -4.97868172, -7.20052555, -5.0029408 , -0.90970965]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.281 2.67 4.771 ... 2.527 6.691</div><input id='attrs-fcddb1af-0916-4857-b2db-2f8152ee2bd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcddb1af-0916-4857-b2db-2f8152ee2bd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3df2dfd5-4340-42ad-bf1f-f27a9faa81fa' class='xr-var-data-in' type='checkbox'><label for='data-3df2dfd5-4340-42ad-bf1f-f27a9faa81fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_04: fa.TAS_MEAN_04(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 6.28109057,  2.66984247,  4.77084856,  5.81513123,  3.70726319,\n",
-       "         7.88694114,  8.61879036,  5.8590799 ,  3.92507141,  5.71606466,\n",
-       "         6.68971009,  4.14454043,  5.24044718,  4.16473368,  3.17204835,\n",
-       "         4.58850744,  2.42582845,  6.3962715 ,  4.50863309,  3.72537499,\n",
-       "         3.66472829,  5.5816208 ,  3.18501721,  5.03290392,  5.64818533,\n",
-       "         6.59686488,  4.23907989,  6.02831622,  6.77309849,  8.00734885],\n",
-       "       [ 6.29511298,  2.70547092,  4.79010595,  5.84095006,  3.74826659,\n",
-       "         7.91213493,  8.62473902,  5.88420185,  3.94925588,  5.75525645,\n",
-       "         6.73536757,  4.18239831,  5.24867346,  4.2006522 ,  3.18438054,\n",
-       "         4.60913386,  2.45777832,  6.42122151,  4.53741596,  3.74116272,\n",
-       "         3.68511133,  5.60182909,  3.21085545,  5.04813521,  5.66970041,\n",
-       "         6.62949125,  4.25314231,  6.069413  ,  6.79707876,  8.0170113 ],\n",
-       "       [ 3.62798642, -0.33003118,  1.98549975,  4.94200638,  1.90477081,\n",
-       "         5.4232119 ,  6.47590245,  3.58361016,  0.59294682,  4.04374346,\n",
-       "         5.0274315 ,  0.95226039,  3.22254992,  2.25514841,  0.67340561,\n",
-       "         0.21162372,  0.86564597,  5.31755017,  3.65541475,  2.46269804,\n",
-       "         3.43081836,  2.52672748,  0.21846992,  2.01802392,  3.10713756,\n",
-       "         4.05594874,  3.25074258,  4.61734965,  2.52736919,  6.69078893]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.16 14.13 11.11 ... 9.281 13.1</div><input id='attrs-4640b0a8-713a-41fc-a1e3-eb2502aa5891' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4640b0a8-713a-41fc-a1e3-eb2502aa5891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d55b43-4045-4133-9b91-6d085bf282ca' class='xr-var-data-in' type='checkbox'><label for='data-e1d55b43-4045-4133-9b91-6d085bf282ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_05: fa.TAS_MEAN_05(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.15798981, 14.12754246, 11.11322796, 11.24523919, 12.38268527,\n",
-       "        13.47558656, 12.91071042, 14.34820064, 14.29280239, 11.66833555,\n",
-       "        14.68055209, 13.06170429, 12.93540742, 11.7397972 , 12.47959729,\n",
-       "        11.67883228,  9.47060602, 16.6644246 , 15.93482494, 12.06595739,\n",
-       "        14.66671369, 10.66038296, 11.96409206, 12.92204562, 10.47150782,\n",
-       "        13.6839104 , 12.68451552, 11.83570534, 12.06039552, 15.1006321 ],\n",
-       "       [13.16973744, 14.1346568 , 11.13017231, 11.25152928, 12.39462974,\n",
-       "        13.49167982, 12.92189564, 14.3525558 , 14.29785562, 11.66908982,\n",
-       "        14.68760562, 13.06591866, 12.93915945, 11.74650875, 12.48779961,\n",
-       "        11.6822183 ,  9.47802694, 16.66956391, 15.93778305, 12.08296005,\n",
-       "        14.67743648, 10.66720033, 11.97007353, 12.94039354, 10.47171217,\n",
-       "        13.69385444, 12.68304905, 11.83939265, 12.06952066, 15.1028719 ],\n",
-       "       [ 9.32146203, 13.20486787,  7.22851098,  7.85127801, 10.2710468 ,\n",
-       "        11.75205154, 11.18025832, 12.07036829, 10.99889154,  9.52009259,\n",
-       "        13.20308846, 10.20791913, 10.2586133 ,  9.16520132,  9.83852381,\n",
-       "         8.80686383,  6.56018839, 15.60386294, 13.75971234, 11.28393822,\n",
-       "        12.08222762,  7.68490045, 10.22324944,  9.56554799,  9.68327798,\n",
-       "        12.19552089, 11.45497604,  8.95637094,  9.28085729, 13.09800446]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.27 17.17 19.02 ... 15.51 15.28</div><input id='attrs-e15ed3ad-2ea2-4d9a-8931-29099c8aa459' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e15ed3ad-2ea2-4d9a-8931-29099c8aa459' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcafd26b-8dbb-4fe8-9f06-9942a8977ead' class='xr-var-data-in' type='checkbox'><label for='data-fcafd26b-8dbb-4fe8-9f06-9942a8977ead' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_06: fa.TAS_MEAN_06(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.26507679, 17.17482526, 19.0160964 , 18.00491928, 16.37981808,\n",
-       "        15.60605555, 18.71867416, 17.76130347, 18.52897791, 17.87974495,\n",
-       "        19.34120491, 17.58224456, 17.55651857, 19.15910273, 20.21092894,\n",
-       "        18.38769224, 19.38101058, 18.26093618, 20.42136401, 16.5314388 ,\n",
-       "        19.48926951, 16.77103902, 18.41433778, 16.67186829, 20.27921135,\n",
-       "        19.05670585, 19.08395387, 18.44444853, 17.12054581, 17.90871917],\n",
-       "       [18.27285436, 17.17794567, 19.02218762, 18.01294608, 16.3835027 ,\n",
-       "        15.61522533, 18.71690424, 17.7603421 , 18.53709793, 17.88517077,\n",
-       "        19.33312913, 17.58410017, 17.55451105, 19.163925  , 20.21538821,\n",
-       "        18.38653562, 19.38460282, 18.26155786, 20.4274404 , 16.54060553,\n",
-       "        19.4947501 , 16.78252499, 18.41309458, 16.67807789, 20.28945648,\n",
-       "        19.05675075, 19.08432029, 18.4598132 , 17.11826482, 17.91478425],\n",
-       "       [15.32377077, 14.26184067, 16.42075965, 15.49602532, 13.58249149,\n",
-       "        13.53718718, 16.95039473, 15.21006239, 15.58662005, 15.78916625,\n",
-       "        17.50706547, 14.15727312, 14.72275277, 16.08168981, 18.45292009,\n",
-       "        16.61313548, 17.61860434, 16.31435919, 18.03357467, 14.35459826,\n",
-       "        17.0149137 , 15.03605577, 16.08504075, 14.41624896, 18.96577871,\n",
-       "        16.68911407, 16.9279979 , 16.06885601, 15.51264093, 15.27824661]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.63 20.64 21.2 ... 16.42 20.16</div><input id='attrs-f3e36742-a154-4566-85cc-8c71ed84424e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3e36742-a154-4566-85cc-8c71ed84424e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed0f07c1-641c-481d-919c-8c5ce0c6cb0b' class='xr-var-data-in' type='checkbox'><label for='data-ed0f07c1-641c-481d-919c-8c5ce0c6cb0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_07: fa.TAS_MEAN_07(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[20.63237781, 20.64445013, 21.19939663, 20.48925845, 20.6386401 ,\n",
-       "        19.09271198, 20.98279724, 22.0321663 , 21.2249513 , 20.64175005,\n",
-       "        21.0802319 , 18.02536485, 21.14713932, 21.23441088, 21.89557947,\n",
-       "        19.52192175, 20.36199651, 20.28828065, 21.80756033, 19.10713126,\n",
-       "        19.11810614, 20.8847859 , 20.38628846, 20.41901303, 21.69638679,\n",
-       "        22.15902647, 19.64342014, 20.64978075, 18.65738623, 22.39617926],\n",
-       "       [20.64244314, 20.64429455, 21.19860832, 20.48963698, 20.64297316,\n",
-       "        19.09924158, 20.98558408, 22.03946192, 21.2222885 , 20.64155526,\n",
-       "        21.07982792, 18.03343554, 21.14784963, 21.24369824, 21.89590508,\n",
-       "        19.52726522, 20.35669739, 20.29155184, 21.81173457, 19.10827544,\n",
-       "        19.12051348, 20.88594336, 20.39749032, 20.42421524, 21.700114  ,\n",
-       "        22.16358236, 19.64325706, 20.65797182, 18.66333934, 22.3994381 ],\n",
-       "       [19.39160528, 18.59335676, 19.13988018, 17.76419756, 17.64240844,\n",
-       "        18.06099397, 19.62983866, 20.81623575, 19.6038941 , 18.54536232,\n",
-       "        19.26759522, 15.36116032, 19.36589918, 18.55584662, 18.7720773 ,\n",
-       "        16.88272442, 18.81599298, 18.48894478, 19.76529777, 16.9515714 ,\n",
-       "        17.9009592 , 19.46480189, 18.25731191, 18.41356263, 20.64177334,\n",
-       "        19.84816803, 17.84146715, 17.96546836, 16.42430602, 20.15591795]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.9 17.18 20.18 ... 17.38 18.67</div><input id='attrs-5cb86fa5-b6e4-4b1f-9dd7-0514ae1a6cac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cb86fa5-b6e4-4b1f-9dd7-0514ae1a6cac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc262a2-c03b-44cf-a539-3a823c87acad' class='xr-var-data-in' type='checkbox'><label for='data-2dc262a2-c03b-44cf-a539-3a823c87acad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_08: fa.TAS_MEAN_08(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.90264285, 17.18295131, 20.17820786, 20.63965515, 19.2324178 ,\n",
-       "        17.98852988, 18.46625813, 20.52358761, 19.64000974, 20.03763804,\n",
-       "        20.35198589, 18.55748576, 20.5487149 , 18.21967495, 20.39550824,\n",
-       "        19.56920167, 18.51551095, 20.11472139, 19.2621412 , 19.0012329 ,\n",
-       "        21.31705545, 20.75675397, 20.60757935, 19.07419024, 21.0329947 ,\n",
-       "        18.58701342, 19.04223069, 18.85825009, 20.04924252, 20.04527683],\n",
-       "       [18.90274384, 17.1911275 , 20.17766814, 20.64302703, 19.23669252,\n",
-       "        17.99339255, 18.47208395, 20.53326467, 19.63165597, 20.03502514,\n",
-       "        20.35333091, 18.56194871, 20.55096834, 18.22429425, 20.397244  ,\n",
-       "        19.56996731, 18.5137647 , 20.11226328, 19.26548325, 19.00442325,\n",
-       "        21.32935581, 20.7574008 , 20.61574623, 19.0765645 , 21.03866968,\n",
-       "        18.59507532, 19.05436415, 18.86747031, 20.05634757, 20.04739971],\n",
-       "       [18.15007783, 15.03589456, 19.15275524, 18.20376284, 16.79243603,\n",
-       "        15.95263618, 16.80301615, 18.38472177, 17.13557816, 18.10749418,\n",
-       "        18.31791621, 15.37384384, 19.07219439, 15.95837958, 18.99366362,\n",
-       "        17.96614258, 16.14428434, 18.40315586, 17.05361115, 16.9784695 ,\n",
-       "        19.73867992, 18.94858976, 18.85744473, 16.09876938, 19.15360731,\n",
-       "        17.20450945, 18.23574136, 17.10623724, 17.3765655 , 18.67347748]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.0 14.88 16.88 ... 13.66 12.74</div><input id='attrs-c3b04dc8-0910-4c0a-983a-82bd10f13aca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3b04dc8-0910-4c0a-983a-82bd10f13aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d31ff89d-282e-4f02-a0bd-304c21b0ecfe' class='xr-var-data-in' type='checkbox'><label for='data-d31ff89d-282e-4f02-a0bd-304c21b0ecfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_09: fa.TAS_MEAN_09(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.9985401 , 14.88084599, 16.8803223 , 13.36136243, 15.76881612,\n",
-       "        12.93856627, 14.40450378, 14.14041918, 15.50094399, 14.27565277,\n",
-       "        13.43692367, 14.99551581, 14.19524746, 14.19630287, 13.25643215,\n",
-       "        15.54744704, 14.41026491, 15.41359308, 17.30026076, 13.85983273,\n",
-       "        16.11133701, 17.42295076, 16.87022709, 15.6987979 , 16.84472827,\n",
-       "        14.57788278, 16.36655318, 15.72453788, 14.73610234, 15.89847538],\n",
-       "       [14.00327093, 14.89087154, 16.88789844, 13.36786742, 15.77699236,\n",
-       "        12.9534436 , 14.41312761, 14.15259406, 15.50755087, 14.28011075,\n",
-       "        13.44734895, 15.00827954, 14.20416615, 14.20616889, 13.26680821,\n",
-       "        15.5572168 , 14.41656774, 15.42240471, 17.3100854 , 13.87230001,\n",
-       "        16.12190201, 17.4295849 , 16.87860208, 15.70859795, 16.85516841,\n",
-       "        14.58572711, 16.381472  , 15.73891164, 14.74027142, 15.91425516],\n",
-       "       [11.66807052, 13.00525124, 14.92539347, 11.7333259 , 14.00111831,\n",
-       "        11.16952847, 13.56671088, 12.53233107, 13.40950848, 12.09311403,\n",
-       "        12.03762439, 12.52501118, 11.51632542, 13.14878653, 11.40945354,\n",
-       "        14.88674668, 12.7886566 , 13.8129469 , 15.32127038, 12.33790751,\n",
-       "        13.37515171, 16.17240412, 14.92501038, 15.76031182, 15.872611  ,\n",
-       "        12.11981614, 14.95579072, 13.54880361, 13.66271616, 12.74184513]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.902 8.552 8.135 ... 4.924 6.089</div><input id='attrs-482cf350-26a3-40d3-b634-99de58bf3672' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-482cf350-26a3-40d3-b634-99de58bf3672' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b6d0baa-a2ba-4f46-9d95-b40aadc396d6' class='xr-var-data-in' type='checkbox'><label for='data-5b6d0baa-a2ba-4f46-9d95-b40aadc396d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_10: fa.TAS_MEAN_10(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.90153404,  8.55247292,  8.1353644 ,  8.69653317,  8.65264187,\n",
-       "         7.25168887,  7.27060997,  6.35240971,  8.44210638,  8.44709298,\n",
-       "         9.17088292,  6.16261716,  6.14102062,  9.19086769, 10.74392511,\n",
-       "         7.60070745,  7.50901645,  8.97400156,  6.82429086,  8.08717615,\n",
-       "         9.78485923,  6.28334712,  7.38087101,  9.07040518,  9.86132362,\n",
-       "         7.81382001, 11.15023954,  7.9433349 ,  6.32887388,  8.09218151],\n",
-       "       [ 5.90837265,  8.56749611,  8.14707508,  8.70767791,  8.66545931,\n",
-       "         7.26435928,  7.28023539,  6.36386398,  8.45988658,  8.46480642,\n",
-       "         9.1968166 ,  6.17366207,  6.15914221,  9.20050535, 10.76258138,\n",
-       "         7.62169454,  7.52207903,  8.98270416,  6.8443016 ,  8.10202505,\n",
-       "         9.79638634,  6.30379606,  7.39183425,  9.07880282,  9.86969755,\n",
-       "         7.82632509, 11.16454062,  7.94981703,  6.34303904,  8.10257614],\n",
-       "       [ 3.99299592,  7.73795388,  6.40906971,  8.15522147,  7.22411627,\n",
-       "         5.58074034,  4.42975758,  4.42171567,  7.25992736,  5.97924246,\n",
-       "         7.13685215,  4.29500826,  4.39184143,  7.79137092,  8.64114928,\n",
-       "         6.70118214,  6.49658319,  7.34944895,  5.66683534,  7.31292994,\n",
-       "         7.23627501,  4.75385387,  5.80929039,  7.73998045,  8.70238769,\n",
-       "         5.51958689,  9.85030054,  5.8710073 ,  4.92371996,  6.08872951]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6841 2.839 1.418 ... 2.622 0.2626</div><input id='attrs-9f6ba971-8bc7-4cdf-8f73-96b03b0cf2e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f6ba971-8bc7-4cdf-8f73-96b03b0cf2e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1dd7900-9503-4669-9e96-3405343a80f4' class='xr-var-data-in' type='checkbox'><label for='data-f1dd7900-9503-4669-9e96-3405343a80f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_11: fa.TAS_MEAN_11(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.68409042,  2.83931276,  1.41829688,  1.84103032, -0.24380939,\n",
-       "        -1.05762507, -0.00508057,  2.38712249, -1.06956614,  1.20698385,\n",
-       "         1.24993657,  0.34702189,  0.40961932,  3.05980446, -1.23203271,\n",
-       "        -1.23446856,  0.40731791,  2.05271268,  3.79757672,  2.13591145,\n",
-       "         3.71018689, -0.82506035,  2.2123534 ,  1.3981892 ,  2.37838246,\n",
-       "         4.08722357,  0.6789816 ,  2.13143521,  3.59184706,  1.54437908],\n",
-       "       [ 0.69372345,  2.86199599,  1.44522039,  1.85904162, -0.220477  ,\n",
-       "        -1.03736578,  0.01024357,  2.40596268, -1.04499751,  1.23995941,\n",
-       "         1.26214407,  0.36737397,  0.43457584,  3.07788816, -1.20635154,\n",
-       "        -1.22369596,  0.4155359 ,  2.06998651,  3.81415907,  2.14591697,\n",
-       "         3.73281559, -0.7992906 ,  2.22979238,  1.41793161,  2.40160114,\n",
-       "         4.10800162,  0.69078161,  2.14733612,  3.6055142 ,  1.5645255 ],\n",
-       "       [ 0.15785888,  0.78074106, -0.3924983 , -0.0255762 , -0.83039231,\n",
-       "        -2.12854598, -0.55590757,  1.13777255, -2.7422466 ,  0.357934  ,\n",
-       "         0.04485371, -1.10250474, -1.75852294,  1.95478626, -3.24454828,\n",
-       "        -2.41883879, -0.63376519,  0.72330371,  1.67868712,  0.232138  ,\n",
-       "         2.57211106, -1.60411593,  0.81913001,  0.46447894,  0.31249959,\n",
-       "         1.60513614, -0.52815806, -0.09280369,  2.62163564,  0.26259895]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.924 -3.514 ... -8.129 -7.886</div><input id='attrs-40f83052-7dd8-4332-8dbf-e6559b0c3c39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40f83052-7dd8-4332-8dbf-e6559b0c3c39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44fa80dd-928f-49d9-89ba-4f3bcd0b6851' class='xr-var-data-in' type='checkbox'><label for='data-44fa80dd-928f-49d9-89ba-4f3bcd0b6851' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:07] tas_mean_12: fa.TAS_MEAN_12(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -4.92431534,  -3.51411334,  -9.02355408,  -5.57863816,\n",
-       "         -9.6424834 ,  -6.62048797,  -5.74202546,  -8.4033055 ,\n",
-       "        -17.75646673,  -5.23348689,  -9.01860591,  -4.93862971,\n",
-       "         -7.29065447,  -5.4341121 ,  -8.85954331,  -2.65103358,\n",
-       "         -7.60708482,  -3.5938318 ,  -4.55418406, -10.25053827,\n",
-       "         -1.18149227,  -6.74184884,  -5.48093551,  -8.78755114,\n",
-       "         -6.8474256 ,  -2.56532862,  -7.8160892 ,  -7.80263761,\n",
-       "         -6.82793165,  -6.25867849],\n",
-       "       [ -4.91499738,  -3.47031549,  -8.99684391,  -5.54484467,\n",
-       "         -9.61991653,  -6.5954135 ,  -5.7209086 ,  -8.37166719,\n",
-       "        -17.74118764,  -5.19574779,  -8.98785   ,  -4.91134596,\n",
-       "         -7.2571242 ,  -5.415129  ,  -8.84202935,  -2.6257173 ,\n",
-       "         -7.58431852,  -3.55799801,  -4.52391933, -10.22644574,\n",
-       "         -1.16347623,  -6.71998608,  -5.45174146,  -8.74171801,\n",
-       "         -6.83560831,  -2.5383687 ,  -7.78749855,  -7.76445332,\n",
-       "         -6.81547319,  -6.24827844],\n",
-       "       [ -6.42654259,  -4.49838826, -11.50481891,  -6.51158554,\n",
-       "        -11.26167033,  -6.42437571,  -5.31116148,  -9.54434099,\n",
-       "        -18.61715473,  -6.93808534,  -8.31290673,  -6.27597073,\n",
-       "         -8.39494589,  -4.8960796 , -11.13819709,  -4.78692399,\n",
-       "         -7.20504368,  -4.51849179,  -6.37388693, -12.29216791,\n",
-       "         -2.88074768,  -6.83984722,  -6.46736281, -10.27831361,\n",
-       "         -7.86397296,  -3.02532917,  -8.54822597, -10.15492012,\n",
-       "         -8.12878371,  -7.88580852]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.974 4.407 5.195 ... 2.212 5.842</div><input id='attrs-b6c24d9d-7843-4ae2-ba15-022169b923eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6c24d9d-7843-4ae2-ba15-022169b923eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-922e3119-25e3-41b5-9144-f20c6ab6badb' class='xr-var-data-in' type='checkbox'><label for='data-922e3119-25e3-41b5-9144-f20c6ab6badb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:09] tas_mean_spring: fa.TAS_MEAN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[6.97447018, 4.40662307, 5.19465239, 4.95908236, 4.76853682,\n",
-       "        5.44187127, 5.74485936, 5.53037528, 4.14562519, 4.70949719,\n",
-       "        6.08216761, 4.09982601, 3.7708809 , 4.5016755 , 4.96081247,\n",
-       "        4.68127346, 3.26788342, 6.97766316, 6.23659265, 5.28499071,\n",
-       "        4.78429627, 4.68888112, 2.90861651, 5.10850932, 4.40644238,\n",
-       "        5.59547655, 4.17823318, 4.39019983, 5.27226905, 7.88764341],\n",
-       "       [6.9934862 , 4.42367266, 5.20990429, 4.97181384, 4.78904046,\n",
-       "        5.46069713, 5.75278225, 5.54325455, 4.16160469, 4.72722837,\n",
-       "        6.10217491, 4.11652379, 3.77711095, 4.51724068, 4.97744855,\n",
-       "        4.69515358, 3.28633953, 6.99041704, 6.2492447 , 5.30490295,\n",
-       "        4.79714046, 4.70988516, 2.92467543, 5.1295985 , 4.41534899,\n",
-       "        5.60857509, 4.18727496, 4.41022762, 5.28737436, 7.89294249],\n",
-       "       [4.14908561, 2.42131037, 2.60423   , 2.76461305, 2.58781494,\n",
-       "        3.21788589, 4.05764337, 2.93521239, 1.19618223, 2.92630035,\n",
-       "        4.10872339, 1.51373221, 1.77391803, 2.25966328, 2.59219181,\n",
-       "        1.27399763, 1.07894935, 5.52919155, 4.18564699, 4.02234864,\n",
-       "        3.13918321, 1.77188053, 0.82591003, 2.7472056 , 2.60747921,\n",
-       "        3.53795665, 2.96692174, 1.90126715, 2.21151073, 5.84215155]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.59 14.04 15.09 ... 12.32 12.94</div><input id='attrs-f759c869-2e18-4c49-9cd6-09771421d8e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f759c869-2e18-4c49-9cd6-09771421d8e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a27c53e-0873-497a-9e17-4a2fa5933993' class='xr-var-data-in' type='checkbox'><label for='data-6a27c53e-0873-497a-9e17-4a2fa5933993' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:10] tas_mean_summer_fall: fa.TAS_MEAN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[13.59342073, 14.03981471, 15.08899962, 14.25872647, 14.44203195,\n",
-       "        12.7505142 , 13.98695407, 14.4955419 , 15.0739447 , 14.16474503,\n",
-       "        14.49448558, 12.81562372, 14.09383546, 14.79895742, 15.14310412,\n",
-       "        13.91634592, 14.10508016, 14.8312171 , 15.03550841, 14.04394863,\n",
-       "        15.34583266, 14.67779224, 15.03035556, 14.27525313, 16.01966636,\n",
-       "        14.78504797, 14.98437826, 14.64589374, 13.91598467, 15.13195558],\n",
-       "       [13.59973549, 14.04899292, 15.09612619, 14.2662818 , 14.45039461,\n",
-       "        12.76113538, 13.99451569, 14.5061074 , 15.07840316, 14.17237555,\n",
-       "        14.50163026, 12.8250457 , 14.10295159, 14.80855647, 15.15223919,\n",
-       "        13.92594924, 14.10917099, 14.83679122, 15.04395602, 14.05188944,\n",
-       "        15.35633681, 14.68728063, 15.03909642, 14.28242558, 16.02910402,\n",
-       "        14.79427308, 14.99338968, 14.65655232, 13.9235349 , 15.14123006],\n",
-       "       [12.03866231, 12.1807687 , 13.30377096, 12.25827619, 12.39399028,\n",
-       "        11.10153177, 12.47805114, 12.61871357, 12.87622934, 12.12889934,\n",
-       "        12.74913246, 10.23404942, 12.09384941, 12.91426934, 13.05778382,\n",
-       "        12.36318139, 12.38534508, 13.24614373, 13.21157692, 12.268524  ,\n",
-       "        13.482546  , 13.19713126, 13.14674081, 12.8019928 , 14.6280731 ,\n",
-       "        12.47661043, 13.51299185, 12.43678353, 12.31614796, 12.94174361]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.106 5.474 6.328 ... 3.632 5.55</div><input id='attrs-4407bd5b-77c9-43ac-80d6-554c312d03c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4407bd5b-77c9-43ac-80d6-554c312d03c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfc2e45a-5f64-4885-be11-214535d9d4f6' class='xr-var-data-in' type='checkbox'><label for='data-dfc2e45a-5f64-4885-be11-214535d9d4f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_mean_year: fa.TAS_MEAN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[6.10632742, 5.47443821, 6.32783603, 5.94493331, 5.17112401,\n",
-       "        5.3147705 , 6.06659042, 6.13961005, 4.92069959, 6.58949512,\n",
-       "        6.48474021, 5.05679139, 5.16356435, 5.32635209, 6.16046485,\n",
-       "        5.69486786, 5.13045281, 7.51954488, 7.17605244, 5.53578725,\n",
-       "        7.03480145, 6.36244224, 5.51522006, 5.53140134, 6.45310123,\n",
-       "        7.34400866, 5.90002984, 6.11350123, 5.6422603 , 7.64197625],\n",
-       "       [6.11843944, 5.49213674, 6.3419729 , 5.95895582, 5.18661896,\n",
-       "        5.33151902, 6.07614118, 6.15524791, 4.93438003, 6.60731171,\n",
-       "        6.50135838, 5.0724557 , 5.17736044, 5.34194979, 6.17462429,\n",
-       "        5.70908363, 5.14391238, 7.53289425, 7.19069161, 5.55118442,\n",
-       "        7.04875644, 6.38109233, 5.53047688, 5.54859485, 6.46485484,\n",
-       "        7.35858904, 5.91437209, 6.13278522, 5.65557919, 7.65046964],\n",
-       "       [4.14810838, 3.55526899, 4.17039431, 3.97318471, 3.25198987,\n",
-       "        3.66841417, 4.97522663, 4.08242363, 2.72289593, 4.7583758 ,\n",
-       "        4.93102731, 2.77582596, 3.42911725, 3.39660042, 4.03284198,\n",
-       "        3.43550211, 3.4145967 , 6.15346014, 5.30311417, 3.89983707,\n",
-       "        5.41337212, 4.53823974, 3.6446109 , 3.62614968, 4.91786511,\n",
-       "        5.43506081, 4.57911614, 3.90721268, 3.63206007, 5.55047525]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-67358ff9-1b7b-4b02-9e6a-cd9bf5eec9c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67358ff9-1b7b-4b02-9e6a-cd9bf5eec9c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b90c24b1-8ac8-4535-9c25-b4c29d9fe661' class='xr-var-data-in' type='checkbox'><label for='data-b90c24b1-8ac8-4535-9c25-b4c29d9fe661' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_01: fa.TAS_MIN_01(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -23.98409672, -27.73548051,\n",
-       "        -26.87303784, -29.6028481 , -27.95685514, -30.63972644,\n",
-       "        -27.91691439, -21.50029051, -29.67321455, -33.58177266,\n",
-       "        -30.68331723, -34.08426609, -35.27256866, -28.93838321,\n",
-       "        -31.19214689, -30.21012775, -30.0341023 , -27.46011776,\n",
-       "        -24.00195941, -18.79033423, -29.12113139, -35.83975633,\n",
-       "        -28.85435587, -18.27490633, -28.54576846, -25.26211853,\n",
-       "        -32.02571826, -23.10343479],\n",
-       "       [-39.56195988, -32.68813996, -24.03047474, -27.78440337,\n",
-       "        -26.90172407, -29.50843105, -28.01388967, -30.60965444,\n",
-       "        -27.89900567, -21.51648806, -29.72331554, -33.65882635,\n",
-       "        -30.79566484, -34.20800736, -35.34157414, -29.09229165,\n",
-       "        -31.20830615, -30.2740806 , -30.03169703, -27.47211901,\n",
-       "        -24.12162136, -18.73545301, -29.10178855, -35.85284315,\n",
-       "        -28.82678106, -18.27176386, -28.54401892, -25.23440091,\n",
-       "        -32.10721035, -23.16594831],\n",
-       "       [-36.96008041, -34.57627807, -27.8066468 , -30.75899291,\n",
-       "        -28.30999496, -27.48191463, -29.61551842, -33.33351571,\n",
-       "        -30.71233164, -23.76549117, -30.01340507, -35.90002526,\n",
-       "        -26.66327862, -36.2616889 , -30.50588749, -29.784176  ,\n",
-       "        -33.06320284, -29.13707486, -31.48640747, -30.96090306,\n",
-       "        -23.20993496, -21.36207271, -30.24601114, -35.1453194 ,\n",
-       "        -31.49808444, -25.06021778, -28.74296546, -27.52218383,\n",
-       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.24 -20.49 ... -25.92 -20.54</div><input id='attrs-5a4a5351-398e-4fbe-996a-8697026856fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a4a5351-398e-4fbe-996a-8697026856fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6705b1d0-d648-4c6d-ad0d-7ef5678a713d' class='xr-var-data-in' type='checkbox'><label for='data-6705b1d0-d648-4c6d-ad0d-7ef5678a713d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_02: fa.TAS_MIN_02(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[-23.24032522, -20.48653586, -26.15094286, -23.03023651,\n",
-       "        -26.2771112 , -24.50412917, -26.11264203, -26.20335354,\n",
-       "        -26.23822722, -24.93641924, -22.04698123, -26.570472  ,\n",
-       "        -34.27246288, -28.11063767, -28.13070012, -27.96613667,\n",
-       "        -24.38781193, -23.24612903, -23.78522791, -23.88384983,\n",
-       "        -23.93237901, -23.78575184, -30.49814208, -26.8862271 ,\n",
-       "        -21.40091018, -23.49350063, -25.82986526, -24.68776879,\n",
-       "        -20.76766121, -24.65457701],\n",
-       "       [-23.31916932, -20.45524333, -26.23029737, -23.07710123,\n",
-       "        -26.27956865, -24.55969991, -26.10843841, -26.26810043,\n",
-       "        -26.25545957, -24.93796633, -22.04124903, -26.57807459,\n",
-       "        -34.53590112, -28.21992075, -28.24081219, -28.06565591,\n",
-       "        -24.39160762, -23.25900305, -23.81055146, -23.9661789 ,\n",
-       "        -23.95772504, -23.74780219, -30.51637279, -26.88168958,\n",
-       "        -21.42484605, -23.55432166, -25.8052279 , -24.83407727,\n",
-       "        -20.80471968, -24.8092683 ],\n",
-       "       [-27.39623848, -21.83933382, -28.11840759, -25.46939105,\n",
-       "        -25.30015168, -24.98755251, -28.39429729, -26.44333253,\n",
-       "        -27.71287586, -26.25940774, -25.02108897, -27.10565387,\n",
-       "        -31.66785606, -29.34995578, -31.6250064 , -32.0264244 ,\n",
-       "        -25.20683637, -23.25078755, -23.99480641, -23.39616611,\n",
-       "        -23.94499328, -25.27237972, -31.04427394, -26.18999563,\n",
-       "        -21.10859918, -23.08716733, -28.34773274, -25.39293754,\n",
-       "        -25.91627393, -20.53731995]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-21.91 -24.26 ... -23.2 -16.09</div><input id='attrs-5a757075-a82c-41b0-97ae-738b82faab5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a757075-a82c-41b0-97ae-738b82faab5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86e0e61f-e5d6-4936-a36a-3a44055e5924' class='xr-var-data-in' type='checkbox'><label for='data-86e0e61f-e5d6-4936-a36a-3a44055e5924' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_03: fa.TAS_MIN_03(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-21.90744391, -24.25802268, -18.06202688, -23.93256492,\n",
-       "        -21.60307959, -21.44121049, -20.49299461, -19.36902588,\n",
-       "        -27.46490141, -19.87414559, -15.50073208, -24.14234385,\n",
-       "        -21.90291328, -20.95091628, -23.02458304, -19.6594139 ,\n",
-       "        -18.30974457, -20.06367511, -17.92498718, -17.57049012,\n",
-       "        -21.54669508, -17.09785335, -24.75505669, -17.49807463,\n",
-       "        -18.80057047, -18.34716798, -26.45356182, -17.09174736,\n",
-       "        -22.30431741, -12.7023202 ],\n",
-       "       [-21.93532741, -24.27835522, -17.96445014, -24.10041257,\n",
-       "        -21.60343595, -21.43579495, -20.52300311, -19.37498225,\n",
-       "        -27.47046108, -19.89545598, -15.51939914, -24.13481458,\n",
-       "        -22.03569576, -20.97235949, -23.21929014, -19.77608805,\n",
-       "        -18.31461993, -20.04893862, -17.98400258, -17.56557305,\n",
-       "        -21.54782035, -17.16918259, -24.74021442, -17.45232586,\n",
-       "        -18.80852551, -18.34751511, -26.30601696, -17.05792332,\n",
-       "        -22.39049245, -12.85123559],\n",
-       "       [-21.44899029, -20.88386266, -21.06805968, -29.1238532 ,\n",
-       "        -20.19379738, -26.14657978, -23.69124714, -23.32161308,\n",
-       "        -28.91967466, -22.89868942, -22.11957932, -22.2687911 ,\n",
-       "        -24.66284511, -17.83464945, -23.93217709, -22.47943476,\n",
-       "        -18.51488066, -21.41782114, -21.73457774, -17.45580565,\n",
-       "        -20.68520394, -20.64642098, -29.89676726, -17.80527837,\n",
-       "        -21.00814125, -18.90584236, -29.07749998, -20.51195495,\n",
-       "        -23.20109368, -16.08788734]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.74 -15.53 -7.75 ... -10.1 -2.064</div><input id='attrs-1875b804-00e0-40c2-becf-a2fe3af14520' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1875b804-00e0-40c2-becf-a2fe3af14520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-021d1f26-e82c-4cff-83ea-527a49548104' class='xr-var-data-in' type='checkbox'><label for='data-021d1f26-e82c-4cff-83ea-527a49548104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_04: fa.TAS_MIN_04(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -8.74049209, -15.52587755,  -7.74962778,  -7.58484483,\n",
-       "        -11.7496682 ,  -3.6511601 ,  -4.98794901,  -2.52939796,\n",
-       "         -6.86393175, -13.63067849,  -3.91534536,  -8.82062482,\n",
-       "         -6.26783275, -12.87169967, -14.86832359,  -8.23557019,\n",
-       "        -10.47880374,  -4.82454962,  -4.55659829,  -7.84488341,\n",
-       "         -4.9203341 ,  -8.94632475, -11.02824319,  -5.06500626,\n",
-       "         -3.22039676,  -6.80246369, -11.95938577,  -5.79547243,\n",
-       "         -3.66134849,  -0.68048186],\n",
-       "       [ -8.7012459 , -15.52479326,  -7.75966148,  -7.60804608,\n",
-       "        -11.71830951,  -3.58180287,  -5.0187384 ,  -2.3366294 ,\n",
-       "         -6.84638997, -13.84791692,  -3.64159645,  -8.76928408,\n",
-       "         -6.31014673, -12.89332544, -14.84806116,  -8.19049921,\n",
-       "        -10.47606591,  -4.94095658,  -4.71611588,  -7.80636714,\n",
-       "         -4.96344345,  -8.73076016, -10.96078214,  -5.04550084,\n",
-       "         -3.22886946,  -6.7977946 , -11.98444088,  -5.82573156,\n",
-       "         -3.66500071,  -0.69025706],\n",
-       "       [ -9.77072718, -17.98419658, -10.49236745,  -5.88392845,\n",
-       "        -14.39390207,  -9.58684514, -12.33089775,  -4.39595661,\n",
-       "         -8.91379483, -12.0300393 ,  -9.32360873, -13.85086662,\n",
-       "         -6.61374844, -10.47327486, -14.06024977, -13.12899122,\n",
-       "        -16.50616913,  -4.40466679,  -7.29883748, -10.05228734,\n",
-       "         -7.41777812, -14.3646413 , -16.38820796, -16.1535478 ,\n",
-       "         -7.29588856, -11.01646958, -10.69801473, -11.8455009 ,\n",
-       "        -10.10184105,  -2.06391094]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.607 2.965 1.848 ... -0.632 -5.043</div><input id='attrs-3aed60da-6619-4336-863e-589d4a94e595' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aed60da-6619-4336-863e-589d4a94e595' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be9668c6-4fa4-4c21-8bcf-9bcae93b8b14' class='xr-var-data-in' type='checkbox'><label for='data-be9668c6-4fa4-4c21-8bcf-9bcae93b8b14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_05: fa.TAS_MIN_05(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.60663809,  2.96479979,  1.84836247,  1.63702019,  1.05182708,\n",
-       "        -1.86535263,  0.07031216,  3.13402533,  2.22974842,  3.25561453,\n",
-       "         3.58788766,  0.11737335,  4.1581919 , -1.16480411, -1.18652362,\n",
-       "         1.75574715, -0.16542834,  8.67854192,  2.56457035,  1.54552661,\n",
-       "         2.44562335,  1.24490056, -0.21641645,  0.79748817,  0.97366845,\n",
-       "         1.98937498,  1.96950802, -0.32541139,  3.59710511,  0.97797592],\n",
-       "       [ 1.60874716,  2.97120902,  1.86194194,  1.70732751,  1.03704431,\n",
-       "        -1.85701679,  0.14298771,  3.14823223,  2.24599631,  3.10195996,\n",
-       "         3.64375468,  0.12570524,  4.1823479 , -1.12656085, -1.19099173,\n",
-       "         1.80122806, -0.09796995,  8.73658542,  2.57320834,  1.59936649,\n",
-       "         2.45214497,  1.26856066, -0.2216667 ,  0.83504907,  0.97816231,\n",
-       "         1.9942662 ,  1.9789936 , -0.48797304,  3.61371927,  0.97503511],\n",
-       "       [-3.26579387,  1.14955531, -5.08371771, -1.21594307, -3.50892514,\n",
-       "        -3.89693836, -2.40048961,  1.51051071, -0.50730453, -0.58958517,\n",
-       "        -2.3885714 , -2.91207027,  1.26575737, -1.59995583, -2.43163456,\n",
-       "        -2.41846762, -3.51455752,  4.36847421,  0.97875004, -0.81707663,\n",
-       "        -0.03940523, -1.13799329, -1.99047459, -3.81584973, -3.84584232,\n",
-       "        -1.45212772, -1.11548706, -3.44074921, -0.6320417 , -5.0428893 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.753 8.274 6.496 ... 3.33 5.581</div><input id='attrs-30619579-e525-49da-bd06-2c95da19a5cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30619579-e525-49da-bd06-2c95da19a5cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f235dfa-720a-4d00-bf19-1f3d223a1875' class='xr-var-data-in' type='checkbox'><label for='data-5f235dfa-720a-4d00-bf19-1f3d223a1875' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_06: fa.TAS_MIN_06(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.75302532,  8.27368685,  6.49604579,  7.98140173,  7.88368259,\n",
-       "         4.21913442,  9.98836156,  7.10533971,  9.12883168,  6.21952575,\n",
-       "        10.56083361,  8.38550071,  7.09235976,  7.95860205,  9.37389345,\n",
-       "        11.27760426,  9.78768689,  7.56164715,  9.7056936 ,  6.4618496 ,\n",
-       "         7.07917088,  5.74742798,  7.7921865 ,  6.80589434,  8.36790293,\n",
-       "        11.21926765,  7.15618379, 10.06418085,  5.9086562 ,  9.06106839],\n",
-       "       [ 8.78269268,  8.32432143,  6.51513334,  7.98051481,  7.87657081,\n",
-       "         4.2382451 ,  9.99790732,  7.1265251 ,  9.15093674,  6.23909263,\n",
-       "        10.56116813,  8.40822529,  7.09947445,  7.98249356,  9.38734001,\n",
-       "        11.30220056,  9.80931128,  7.56325043,  9.72541586,  6.48768423,\n",
-       "         7.09124886,  5.77492277,  7.8011511 ,  6.82342884,  8.39346188,\n",
-       "        11.21861771,  7.18274705, 10.05562484,  5.90534512,  9.00351216],\n",
-       "       [ 4.99213633,  3.28360749,  2.80078576,  4.58199158,  4.3303734 ,\n",
-       "         0.54275456,  5.15552575,  2.89811015,  5.73959096,  2.69011827,\n",
-       "         4.91990182,  2.9602666 ,  3.63241646,  3.25093006,  3.90399782,\n",
-       "         7.24130813,  6.3111134 ,  2.6934426 ,  5.82253069,  3.70343553,\n",
-       "         5.56098885,  2.19494149,  1.16040005,  3.80982191,  8.74908484,\n",
-       "         2.87265061,  1.62078521,  6.39691558,  3.32987132,  5.58091269]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.18 9.327 11.33 ... 7.984 9.167</div><input id='attrs-857f9e9e-f4e9-4276-bb13-aade833adba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-857f9e9e-f4e9-4276-bb13-aade833adba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07a45f30-626e-4a6d-802c-a24972f873e7' class='xr-var-data-in' type='checkbox'><label for='data-07a45f30-626e-4a6d-802c-a24972f873e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_07: fa.TAS_MIN_07(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[12.18469817,  9.32696473, 11.328991  , 13.31717579, 12.58696222,\n",
-       "         9.62432783, 11.10270106, 11.3669321 , 13.1554508 , 10.81395653,\n",
-       "        12.10695437, 10.69577076, 13.51346606, 13.60289909, 14.06064332,\n",
-       "        12.85974249, 11.41497109, 13.51044378, 13.23284515, 11.6373998 ,\n",
-       "         9.40922796, 11.42740756, 13.61050773, 12.94481601, 12.79786138,\n",
-       "        14.26131501, 11.30397603, 13.06238568, 11.50528622, 11.8516313 ],\n",
-       "       [12.24041376,  9.35015791, 11.35438795, 13.33372915, 12.61496565,\n",
-       "         9.57375471, 11.11921473, 11.35757806, 13.03206727, 10.72411936,\n",
-       "        12.11930408, 10.71576075, 13.50905675, 13.62226632, 13.93169811,\n",
-       "        12.85402676, 11.42497965, 13.50579254, 13.24509502, 11.64012702,\n",
-       "         9.39837309, 11.42574212, 13.62803566, 12.95904671, 12.76253913,\n",
-       "        14.2926789 , 11.32327647, 13.03776492, 11.45250616, 11.87530197],\n",
-       "       [ 9.23834423,  6.18761724,  7.85131025,  8.99352482,  8.22657732,\n",
-       "         7.29404569,  9.66249705,  9.6938958 , 10.26397059,  8.71949311,\n",
-       "         9.24647923,  6.40324147,  9.93431265,  9.65499345, 10.3059734 ,\n",
-       "         9.70865636,  9.47690845, 10.64295436, 10.01987687,  8.54124687,\n",
-       "         5.99534417,  8.23775354, 11.47190641,  8.42311913,  8.90795073,\n",
-       "        11.5363046 ,  8.03876537, 10.33283293,  7.98401326,  9.16714573]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.27 7.381 11.59 ... 8.633 9.459</div><input id='attrs-6e344043-c313-4664-93d4-6e35b4df95f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e344043-c313-4664-93d4-6e35b4df95f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7985353-0098-425f-9f48-50f6f27b1345' class='xr-var-data-in' type='checkbox'><label for='data-d7985353-0098-425f-9f48-50f6f27b1345' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_08: fa.TAS_MIN_08(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.27225087,  7.38108088, 11.58806545, 10.34108347,  9.96852364,\n",
-       "         6.98060629,  8.24855999, 10.14812104,  9.44685802, 10.42769426,\n",
-       "        11.3103237 ,  9.98842448, 10.73346141, 10.2996488 , 10.6466764 ,\n",
-       "        11.71478022, 11.43523521, 11.91831676, 11.20564048, 10.20356616,\n",
-       "        10.53431911, 10.81513473, 10.05064985,  9.23489599, 11.80895229,\n",
-       "        10.10147385,  8.91899877, 11.77487568,  9.72491022, 11.6950191 ],\n",
-       "       [10.27845978,  7.37719393, 11.61837214, 10.36005929,  9.93952931,\n",
-       "         6.97771637,  8.27248587,  9.99973188,  9.4620776 , 10.4396519 ,\n",
-       "        11.31806714,  9.89697543, 10.70053252, 10.32340806, 10.65794643,\n",
-       "        11.7371015 , 11.44276443, 11.92108301, 11.22266456, 10.23812741,\n",
-       "        10.55678053, 10.83082855, 10.08263589,  9.22329863, 11.83875585,\n",
-       "        10.13421094,  8.93440963, 11.77831235,  9.75203212, 11.70968286],\n",
-       "       [ 9.89233202,  5.32378738, 10.21512168,  7.84628658,  8.8303135 ,\n",
-       "         4.55345159,  7.21899571,  9.08214805,  7.64356767,  8.51407361,\n",
-       "         9.84616942,  8.2482853 ,  9.81668684,  8.81846215,  8.37379909,\n",
-       "         8.39149302,  9.4601115 ,  9.60878655,  9.29089452,  7.30887075,\n",
-       "         9.66302087,  9.15454401,  9.8448325 ,  7.02501616, 11.06116325,\n",
-       "         8.51731983,  9.03674219,  8.98153087,  8.63325748,  9.45858976]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.872 6.597 5.539 ... 2.754 6.188</div><input id='attrs-3cc1a94c-38ea-47a9-aa20-502d247bc8e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cc1a94c-38ea-47a9-aa20-502d247bc8e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e424a5d-9382-427e-b5ed-d31180da3ff3' class='xr-var-data-in' type='checkbox'><label for='data-0e424a5d-9382-427e-b5ed-d31180da3ff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_09: fa.TAS_MIN_09(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.87205829,  6.59656507,  5.53892389,  3.75540178,  6.76058985,\n",
-       "         3.72438484,  3.76099007,  4.68511449,  3.70509872,  4.02832196,\n",
-       "         0.35117403,  2.76631981,  3.33929474,  6.80467138,  3.09044334,\n",
-       "         5.15584062,  3.04573766,  6.52114065,  6.54908592,  0.30966867,\n",
-       "         4.85536704,  6.64602412,  8.02829562,  6.45481086,  6.63288032,\n",
-       "         6.54734889,  7.01559039,  4.31742943,  4.47097697,  7.66865421],\n",
-       "       [ 3.85862492,  6.60908272,  5.44951579,  3.74830361,  6.784404  ,\n",
-       "         3.73850115,  3.78739001,  4.69583974,  3.7124858 ,  4.04154906,\n",
-       "         0.36156872,  2.77304904,  3.3585899 ,  6.79282677,  3.14686634,\n",
-       "         5.02246172,  3.02598236,  6.53206822,  6.57422464,  0.28557484,\n",
-       "         4.79512779,  6.67859926,  8.04070283,  6.37427485,  6.64215434,\n",
-       "         6.55298194,  7.03290206,  4.34250506,  4.51828133,  7.72371129],\n",
-       "       [-0.22815791,  5.13236733,  4.56397552,  1.80010564,  4.51261504,\n",
-       "         3.24127206,  3.14048806,  2.75340541,  1.15837364,  2.85372169,\n",
-       "        -0.02819831,  0.12928581,  0.87053163,  5.17937723,  2.85081992,\n",
-       "         3.95630619,  3.42176929,  3.91985958,  3.83793957,  1.13770369,\n",
-       "         5.56159137,  6.83364566,  4.15205843,  5.44403959,  4.0470105 ,\n",
-       "         3.26614834,  4.85370488,  4.55361436,  2.75388448,  6.18757809]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.127 -0.7163 ... -2.594 -1.755</div><input id='attrs-31a31b09-52f5-4110-8dd4-81d0a5322dfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31a31b09-52f5-4110-8dd4-81d0a5322dfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbd15ad4-8009-40b8-b6fc-c06c30e8ffea' class='xr-var-data-in' type='checkbox'><label for='data-bbd15ad4-8009-40b8-b6fc-c06c30e8ffea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_10: fa.TAS_MIN_10(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[-2.1266733 , -0.71628144, -2.3397145 , -0.66671422, -1.83562681,\n",
-       "        -2.88810926, -1.19858006, -3.33815437, -0.11841713, -2.06722082,\n",
-       "        -0.96223217, -3.60837444, -2.23688245,  1.33325412, -1.07813634,\n",
-       "        -0.44506685, -2.91521901, -0.42096783, -3.19949096, -1.17323376,\n",
-       "        -2.74140892, -4.40447115, -0.79218966, -1.19260438, -1.98159697,\n",
-       "        -1.57199278, -0.07876564, -1.58826708, -2.03346542, -0.10832408],\n",
-       "       [-2.1234072 , -0.70254659, -2.34393401, -0.65834268, -1.78900077,\n",
-       "        -2.85932254, -1.17467465, -3.30988601, -0.09923966, -2.04871904,\n",
-       "        -0.93665404, -3.57872955, -2.20902797,  1.35900082, -1.04065279,\n",
-       "        -0.41192973, -2.98420531, -0.36793585, -3.17751482, -1.18715374,\n",
-       "        -2.83228647, -4.37942656, -0.77929307, -1.30458101, -1.99151161,\n",
-       "        -1.56625063, -0.06359742, -1.65891092, -2.02167306, -0.08810793],\n",
-       "       [-4.09858355, -0.85693074, -2.71008759, -2.33572078, -2.50883323,\n",
-       "        -3.55664186, -2.71612291, -4.19831442, -2.23015186, -1.95153057,\n",
-       "        -1.37193422, -4.28005239, -3.34142452, -0.24973456, -1.6648334 ,\n",
-       "        -2.51831047, -4.62800113, -0.35838806, -2.08785935, -2.34522215,\n",
-       "        -1.8813473 , -5.50989489, -1.51342148,  0.02453638, -0.14502417,\n",
-       "        -0.74261044, -1.20051181, -3.56721748, -2.59410429, -1.75513804]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-11.38 -15.49 ... -2.705 -8.084</div><input id='attrs-22415692-5b0e-419c-8c59-add1fa4e5295' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22415692-5b0e-419c-8c59-add1fa4e5295' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a807f5ae-f706-47f8-893b-907ca1746b9a' class='xr-var-data-in' type='checkbox'><label for='data-a807f5ae-f706-47f8-893b-907ca1746b9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_11: fa.TAS_MIN_11(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[-11.37574816, -15.48983437, -10.25066423,  -8.8663083 ,\n",
-       "        -14.84128434, -15.66683602, -16.90083427,  -9.68735729,\n",
-       "        -22.67691224,  -8.59161062,  -8.2885206 , -10.96747286,\n",
-       "        -13.86646503, -12.18403461, -21.18867637, -19.09274316,\n",
-       "        -18.03768094,  -5.26917578,  -6.12546459, -10.42908612,\n",
-       "         -6.77080755, -14.95205414,  -5.73532517,  -6.68807148,\n",
-       "        -13.99272621,  -3.40826191, -12.52133027,  -8.72210976,\n",
-       "         -3.61928498, -10.11867432],\n",
-       "       [-11.46752575, -15.41733338, -10.23201627,  -8.84161018,\n",
-       "        -14.83156989, -15.96123068, -16.95222523,  -9.6546591 ,\n",
-       "        -22.65157083,  -8.47923246,  -8.31643854, -10.92197015,\n",
-       "        -13.82670842, -12.25262347, -21.32045799, -19.14274831,\n",
-       "        -18.23045083,  -5.21865027,  -6.11094893, -10.40171825,\n",
-       "         -6.80039885, -14.89910222,  -5.72964586,  -6.66658723,\n",
-       "        -14.09592588,  -3.37633334, -12.49508896,  -8.69479015,\n",
-       "         -3.63207964,  -9.93491921],\n",
-       "       [ -7.92248748, -12.48325666,  -8.67984963,  -9.05236009,\n",
-       "         -8.74686613, -14.31938902, -13.88294442,  -6.00356589,\n",
-       "        -17.18995269,  -7.71489932,  -9.38686806,  -7.87577386,\n",
-       "        -13.46688862,  -9.43846289, -16.42108968, -11.03868316,\n",
-       "        -10.98253663,  -5.64527945,  -7.65800277, -12.27608416,\n",
-       "         -5.79736968, -10.9236015 ,  -8.11608689,  -8.75685486,\n",
-       "        -11.87783135,  -6.23683989, -11.71598987, -10.15282188,\n",
-       "         -2.70450566,  -8.08401863]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-19.19 -21.18 ... -23.27 -17.79</div><input id='attrs-bb891bcc-81fc-4822-8c05-8fdc9a6c6f0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb891bcc-81fc-4822-8c05-8fdc9a6c6f0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c76b832d-8a07-4916-ab49-2c2e39b91e6c' class='xr-var-data-in' type='checkbox'><label for='data-c76b832d-8a07-4916-ab49-2c2e39b91e6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:12] tas_min_12: fa.TAS_MIN_12(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[-19.19203072, -21.18315122, -29.75868095, -28.4797135 ,\n",
-       "        -32.25310336, -24.92181973, -22.78338902, -28.82746707,\n",
-       "        -32.75489356, -25.44589588, -25.73698478, -24.03235532,\n",
-       "        -34.0092637 , -24.73265243, -27.01572861, -26.78006988,\n",
-       "        -23.95145002, -29.10389305, -22.48447355, -26.48245112,\n",
-       "        -12.77165792, -23.9905003 , -18.12784439, -28.48273854,\n",
-       "        -22.72246653, -20.18447694, -21.49529035, -22.76248144,\n",
-       "        -23.75229038, -18.2786706 ],\n",
-       "       [-19.23768486, -21.14172255, -29.79639458, -28.45581596,\n",
-       "        -32.40671423, -24.91227465, -22.79471661, -28.75747971,\n",
-       "        -32.80001944, -25.51206682, -25.73203988, -24.11940896,\n",
-       "        -34.07583882, -24.7898907 , -27.07301573, -26.78194946,\n",
-       "        -23.92041141, -29.00612003, -22.49277818, -26.5542261 ,\n",
-       "        -12.77578527, -23.93950602, -17.8961324 , -28.58298957,\n",
-       "        -22.84226667, -20.18014565, -21.49297563, -22.92269408,\n",
-       "        -23.8558524 , -18.24065612],\n",
-       "       [-18.15893044, -20.15237374, -30.78668119, -27.55232631,\n",
-       "        -29.83994683, -25.15685781, -25.73691682, -26.89778064,\n",
-       "        -32.43583021, -26.32885123, -23.44176001, -28.21409333,\n",
-       "        -36.23220263, -21.70228667, -24.79402725, -25.13008055,\n",
-       "        -27.77033098, -31.12906977, -24.00654438, -25.2325287 ,\n",
-       "        -15.49686777, -23.69881783, -20.68091528, -34.50240905,\n",
-       "        -22.79907671, -14.18215949, -24.52779026, -24.86531479,\n",
-       "        -23.27025903, -17.79176699]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-22.98 -24.26 ... -25.67 -19.78</div><input id='attrs-b6ddca17-1d9d-4787-984c-8c069807ccf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6ddca17-1d9d-4787-984c-8c069807ccf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-805c5646-030e-4934-ae78-59904d37292d' class='xr-var-data-in' type='checkbox'><label for='data-805c5646-030e-4934-ae78-59904d37292d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:14] tas_min_spring: fa.TAS_MIN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[-22.98073649, -24.25802268, -26.15094286, -23.93256492,\n",
-       "        -21.60307959, -21.44121049, -26.11264203, -19.36902588,\n",
-       "        -27.46490141, -24.93641924, -22.04698123, -25.13513481,\n",
-       "        -28.81485771, -27.64842862, -27.10222712, -25.26938974,\n",
-       "        -24.38781193, -23.24612903, -23.78522791, -22.55029614,\n",
-       "        -23.93237901, -23.40916159, -30.49814208, -26.8862271 ,\n",
-       "        -21.40091018, -22.29837667, -26.45356182, -24.68776879,\n",
-       "        -22.30431741, -12.7023202 ],\n",
-       "       [-22.97959199, -24.27835522, -26.23029737, -24.10041257,\n",
-       "        -21.60343595, -21.43579495, -26.10843841, -19.37498225,\n",
-       "        -27.47046108, -24.93796633, -22.04124903, -25.13222042,\n",
-       "        -28.79974233, -27.69195117, -27.14957713, -25.2709514 ,\n",
-       "        -24.39160762, -23.25900305, -23.81055146, -22.52724228,\n",
-       "        -23.95772504, -23.38293418, -30.51637279, -26.88168958,\n",
-       "        -21.42484605, -22.2708131 , -26.30601696, -24.83407727,\n",
-       "        -22.39049245, -12.85123559],\n",
-       "       [-22.71079049, -21.62215032, -25.84459586, -29.1238532 ,\n",
-       "        -20.19379738, -26.14657978, -28.39429729, -25.27917717,\n",
-       "        -28.91967466, -26.25940774, -25.02108897, -27.00139761,\n",
-       "        -26.4896699 , -24.39906309, -27.26263392, -23.11540986,\n",
-       "        -25.20683637, -23.25078755, -23.99480641, -21.02497527,\n",
-       "        -23.94499328, -25.27237972, -31.04427394, -26.18999563,\n",
-       "        -21.10859918, -23.08716733, -29.07749998, -25.39293754,\n",
-       "        -25.6674867 , -19.77575533]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.521 -5.482 ... -2.705 -5.949</div><input id='attrs-8bd03bc3-451d-45e6-8514-522b5f073218' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bd03bc3-451d-45e6-8514-522b5f073218' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af163511-c6fd-485a-90c0-83821274ea06' class='xr-var-data-in' type='checkbox'><label for='data-af163511-c6fd-485a-90c0-83821274ea06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:15] tas_min_summer_fall: fa.TAS_MIN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[ -5.52131029,  -5.48177058,  -9.67066386,  -8.8663083 ,\n",
-       "        -10.48608959, -11.49370675,  -6.66899803,  -3.33815437,\n",
-       "         -5.9140038 ,  -8.59161062,  -8.2885206 , -10.96747286,\n",
-       "         -5.86382961,  -2.59945908,  -7.02874204,  -9.62813688,\n",
-       "         -6.68350876,  -5.26917578,  -5.46326869,  -2.17566707,\n",
-       "         -6.77080755, -12.84858147,  -5.73532517,  -6.68807148,\n",
-       "         -5.29756155,  -3.23577847,  -4.87750433,  -5.85379614,\n",
-       "         -3.61928498,  -2.54770965],\n",
-       "       [ -5.50296852,  -5.48055671,  -9.58479887,  -8.84161018,\n",
-       "        -10.46785218, -11.39902331,  -6.65156536,  -3.30988601,\n",
-       "         -5.91388545,  -8.44512355,  -8.31643854, -10.92197015,\n",
-       "         -5.84098602,  -2.67900339,  -7.15401369,  -9.61554782,\n",
-       "         -6.65791544,  -5.21865027,  -5.52071585,  -2.1164685 ,\n",
-       "         -6.80039885, -12.92968603,  -5.72964586,  -6.66658723,\n",
-       "         -5.28314772,  -3.20777055,  -4.88185343,  -5.85534062,\n",
-       "         -3.63207964,  -2.52979165],\n",
-       "       [ -6.43227184,  -6.1649129 ,  -8.67984963,  -9.05236009,\n",
-       "         -8.74686613, -14.31938902,  -5.86524796,  -4.37029403,\n",
-       "         -9.28439024,  -7.09367962,  -9.38686806,  -7.87577386,\n",
-       "         -8.71896105,  -1.91543281,  -8.84748807, -10.5113594 ,\n",
-       "         -6.40598537,  -5.64527945,  -5.01863102,  -4.46908351,\n",
-       "         -2.94861107, -10.9236015 ,  -8.11608689,  -6.77082689,\n",
-       "         -9.03362635,  -6.23683989,  -4.99272244, -10.15282188,\n",
-       "         -2.70450566,  -5.94893369]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-96956e89-7637-4051-8101-7c2ab017247f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96956e89-7637-4051-8101-7c2ab017247f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49a65114-d6a2-4bfc-91de-ef10af0f9cf9' class='xr-var-data-in' type='checkbox'><label for='data-49a65114-d6a2-4bfc-91de-ef10af0f9cf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] tas_min_year: fa.TAS_MIN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -29.75868095, -28.4797135 ,\n",
-       "        -32.25310336, -29.6028481 , -27.95685514, -30.63972644,\n",
-       "        -32.75489356, -25.44589588, -29.67321455, -33.58177266,\n",
-       "        -34.27246288, -34.08426609, -35.27256866, -28.93838321,\n",
-       "        -31.19214689, -30.21012775, -30.0341023 , -27.46011776,\n",
-       "        -24.00195941, -23.9905003 , -30.49814208, -35.83975633,\n",
-       "        -28.85435587, -23.49350063, -28.54576846, -25.26211853,\n",
-       "        -32.02571826, -24.65457701],\n",
-       "       [-39.56195988, -32.68813996, -29.79639458, -28.45581596,\n",
-       "        -32.40671423, -29.50843105, -28.01388967, -30.60965444,\n",
-       "        -32.80001944, -25.51206682, -29.72331554, -33.65882635,\n",
-       "        -34.53590112, -34.20800736, -35.34157414, -29.09229165,\n",
-       "        -31.20830615, -30.2740806 , -30.03169703, -27.47211901,\n",
-       "        -24.12162136, -23.93950602, -30.51637279, -35.85284315,\n",
-       "        -28.82678106, -23.55432166, -28.54401892, -25.23440091,\n",
-       "        -32.10721035, -24.8092683 ],\n",
-       "       [-36.96008041, -34.57627807, -30.78668119, -30.75899291,\n",
-       "        -29.83994683, -27.48191463, -29.61551842, -33.33351571,\n",
-       "        -32.43583021, -26.32885123, -30.01340507, -35.90002526,\n",
-       "        -36.23220263, -36.2616889 , -31.6250064 , -32.0264244 ,\n",
-       "        -33.06320284, -31.12906977, -31.48640747, -30.96090306,\n",
-       "        -23.94499328, -25.27237972, -31.04427394, -35.1453194 ,\n",
-       "        -31.49808444, -25.06021778, -29.07749998, -27.52218383,\n",
-       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.4 91.04 82.64 ... 43.93 53.78</div><input id='attrs-aa325102-cb3b-4bcd-aaca-2d40c4c8d896' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa325102-cb3b-4bcd-aaca-2d40c4c8d896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24dbfec5-706f-4b6d-9ed1-8077f586adcc' class='xr-var-data-in' type='checkbox'><label for='data-24dbfec5-706f-4b6d-9ed1-8077f586adcc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_01: fa.PR_SUM_01(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 23.40379484,  91.04143722,  82.64005871,  40.41029484,\n",
-       "         48.55065441, 131.87960013,  55.33038955,  44.16563065,\n",
-       "         72.30947408, 110.13319539,  70.87246596,  91.88232249,\n",
-       "         91.10925521,  91.52241532, 121.87976675,  88.57515252,\n",
-       "        122.4037686 , 146.68869618, 130.04528562,  97.38960598,\n",
-       "         34.31278783,  51.39530035,  28.53033272,  37.5846798 ,\n",
-       "         49.83448474, 127.93699213,  68.16800307,  88.69825905,\n",
-       "         61.22246764,  71.93537655],\n",
-       "       [ 23.32881824,  91.22413027,  82.66634914,  40.4527373 ,\n",
-       "         48.57896214, 131.91432325,  55.50889124,  44.06217919,\n",
-       "         72.16431044, 110.2121261 ,  70.91243532,  91.72790615,\n",
-       "         91.36235922,  91.6249768 , 121.87138612,  88.233414  ,\n",
-       "        122.40913392, 146.98254748, 129.96743584,  97.39645447,\n",
-       "         34.4337545 ,  51.49582614,  28.62363843,  37.60056693,\n",
-       "         49.97081806, 127.84978792,  68.36931337,  88.83416459,\n",
-       "         61.22549446,  71.71382827],\n",
-       "       [ 24.27591427,  74.2373725 ,  61.36655962,  37.03771326,\n",
-       "         59.59057312,  58.95888068,  32.81629066,  58.57759158,\n",
-       "         72.82709659,  74.73189122,  56.7691889 ,  71.89568382,\n",
-       "         70.76697166,  63.76575661,  74.53545267,  88.69298868,\n",
-       "        126.37862772,  68.70585697,  98.06520461,  68.03139358,\n",
-       "         48.90044118,  43.8873818 ,  31.01840197,  49.25705773,\n",
-       "         56.19506608, 100.09265196,  52.4847635 ,  85.18346326,\n",
-       "         43.931054  ,  53.77516217]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>177.2 53.98 91.72 ... 83.67 37.52</div><input id='attrs-da0aeb7e-bd9a-4801-9029-d6a6671d2c67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da0aeb7e-bd9a-4801-9029-d6a6671d2c67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d2c7f2c-ea7a-475b-b48d-9624ec1e4c3d' class='xr-var-data-in' type='checkbox'><label for='data-1d2c7f2c-ea7a-475b-b48d-9624ec1e4c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_02: fa.PR_SUM_02(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[177.17798822,  53.97759765,  91.71653426,  92.48576961,\n",
-       "         64.83624274,  36.71568375,  13.29430318,  81.15170797,\n",
-       "         41.36658384,  83.76051323,  39.82750558,  72.30888648,\n",
-       "         61.58459056,  48.95666332,  53.89570583,  85.69516504,\n",
-       "        113.44473924,  47.75953664,  52.95935217,  60.10522734,\n",
-       "         75.6020768 ,  61.21894392,  51.03398776,  37.82004284,\n",
-       "         50.75130545,  80.65926144,  40.45387409,  99.94582525,\n",
-       "         78.61773731,  57.54458481],\n",
-       "       [177.05610222,  54.01225615,  91.53747657,  92.82461496,\n",
-       "         64.81464607,  36.78939094,  13.37089389,  80.91316733,\n",
-       "         41.44451841,  84.02851163,  39.81028333,  72.36051584,\n",
-       "         61.67982998,  49.17496936,  53.99620402,  85.35695215,\n",
-       "        113.47851517,  47.77986744,  52.85886437,  60.31227991,\n",
-       "         75.56774453,  61.01591988,  51.1166402 ,  37.902682  ,\n",
-       "         50.69281804,  80.57930135,  40.64246085,  99.99538833,\n",
-       "         78.67308462,  57.72585048],\n",
-       "       [ 97.71039376,  35.88066401,  48.40084541,  60.8485709 ,\n",
-       "         77.31932653,  22.08628743,  29.44228249,  72.28882709,\n",
-       "         25.29107015,  53.38590189,  38.72629591,  53.76867334,\n",
-       "         24.44286451,  38.73722863,  27.23131372,  65.22976881,\n",
-       "         90.35937003,  22.86906564,  44.6268815 ,  37.45887111,\n",
-       "         75.67884995, 104.79783629,  42.7326452 ,  42.34879627,\n",
-       "         37.134376  ,  77.01766293,  23.43398801,  57.63116738,\n",
-       "         83.67134002,  37.51646391]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.45 88.55 86.71 ... 47.01 2.956</div><input id='attrs-481eed71-2e0b-46b1-9cb1-dc6fd99f23b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-481eed71-2e0b-46b1-9cb1-dc6fd99f23b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc69d121-e99d-4311-b93a-4933591233b2' class='xr-var-data-in' type='checkbox'><label for='data-cc69d121-e99d-4311-b93a-4933591233b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_03: fa.PR_SUM_03(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.45435938,  88.55005774,  86.71158029,  59.814298  ,\n",
-       "         96.7350447 ,  84.53294489,  61.88789089,  32.51453934,\n",
-       "         81.46883433,  68.14681715, 114.51763306, 101.27785518,\n",
-       "         68.74753851,  60.74914155,  76.53382307,  30.24385767,\n",
-       "         94.41327956, 114.863175  ,  85.39689681,  69.25369038,\n",
-       "         81.57997315,  94.13042652,  78.26032721,  60.95866803,\n",
-       "         51.49965867,  41.96349057,  86.59521531, 128.30046929,\n",
-       "         66.52417466,  53.71632489],\n",
-       "       [ 73.49149694,  88.54283146,  86.93856316,  59.98716445,\n",
-       "         96.89418328,  84.42305344,  61.66332192,  32.53075524,\n",
-       "         81.65092094,  68.36111119, 114.60849482, 100.88937649,\n",
-       "         68.89141692,  60.76897645,  76.29687494,  30.195649  ,\n",
-       "         94.50272502, 114.6418187 ,  85.27902214,  69.42404446,\n",
-       "         81.72629092,  93.8895516 ,  78.54995156,  60.94443674,\n",
-       "         51.51021503,  42.17713079,  86.7786701 , 128.35632912,\n",
-       "         66.57304251,  53.86613154],\n",
-       "       [ 64.24479093,  65.20638485,  71.63721922,  43.59695027,\n",
-       "        110.71474021,  89.88984009,  88.14118392,  55.3591522 ,\n",
-       "         79.75924445,  48.96564058,  94.45326589,  87.99676498,\n",
-       "         33.60519904,  42.41980058,  56.08016411,  39.98790816,\n",
-       "         56.21508782, 135.63935041,  37.832658  ,  71.64160276,\n",
-       "         33.73300829,  88.93288266,  62.54544996,  99.08406049,\n",
-       "         45.19864215,  51.05165911,  63.37299224,  65.88778032,\n",
-       "         47.00695485,   2.95558853]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>99.17 82.77 152.9 ... 94.83 61.57</div><input id='attrs-7d088510-5f16-43d6-bbe8-5eef5390d898' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d088510-5f16-43d6-bbe8-5eef5390d898' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ee7165b-609f-4863-8a1a-32d3f779e81f' class='xr-var-data-in' type='checkbox'><label for='data-2ee7165b-609f-4863-8a1a-32d3f779e81f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_04: fa.PR_SUM_04(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 99.17240755,  82.76876808, 152.93240144, 100.16712399,\n",
-       "         87.85221728,  68.410618  ,  59.37821428,  98.92300666,\n",
-       "         73.62114306,  87.9434617 , 103.7329961 ,  59.45533422,\n",
-       "        135.00036785, 126.10403553,  68.24563203, 177.85847013,\n",
-       "         64.87722812,  53.68962487,  39.90536697, 128.10551484,\n",
-       "         39.70904751,  93.90808676,  98.94150186,  68.50613268,\n",
-       "        163.03100606, 105.0548605 , 126.81608195,  86.79942002,\n",
-       "         72.2163226 ,  90.57909579],\n",
-       "       [ 99.38613943,  82.88073687, 152.91382114, 100.50441524,\n",
-       "         88.01624401,  67.99223923,  59.54449999,  98.96922591,\n",
-       "         73.83112457,  87.93979383, 104.16085181,  59.46413578,\n",
-       "        135.03567802, 126.65500264,  67.95893464, 177.69481936,\n",
-       "         64.8565471 ,  53.82167257,  40.06185848, 128.24019529,\n",
-       "         39.8629335 ,  94.19243429,  98.72766977,  68.94361782,\n",
-       "        162.87794783, 105.18001331, 126.93326583,  86.77371527,\n",
-       "         72.39607539,  90.90711311],\n",
-       "       [112.83064896,  77.40629116,  86.15984494,  81.34115731,\n",
-       "         73.22967553,  72.64471899,  46.38121602,  79.82191517,\n",
-       "         34.92071357,  71.83220962,  94.75084604,  54.53791708,\n",
-       "         81.36830281,  60.20060236,  73.8799196 , 116.99051869,\n",
-       "         48.48614729,  45.58666555,  29.14618276,  35.65131636,\n",
-       "         50.03099038,  63.02808139,  59.43005809,  63.36476546,\n",
-       "        110.90707888,  68.63719341, 103.2107956 ,  93.60900427,\n",
-       "         94.83228561,  61.5724462 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>106.0 25.13 220.9 ... 75.86 71.84</div><input id='attrs-6f919615-251b-4cb4-8f57-88e9d050c9df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f919615-251b-4cb4-8f57-88e9d050c9df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6452af4e-e6c3-4da8-a048-53b9bf4e37ed' class='xr-var-data-in' type='checkbox'><label for='data-6452af4e-e6c3-4da8-a048-53b9bf4e37ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_05: fa.PR_SUM_05(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[105.98777541,  25.12964602, 220.87867421, 137.66181021,\n",
-       "         81.15034541, 160.04263269, 103.9132546 ,  44.88273321,\n",
-       "        152.88689606, 101.50936956,  76.72874124,  68.6265707 ,\n",
-       "         94.2712895 , 122.15755427,  87.14602438, 110.71267957,\n",
-       "        107.2972596 ,  58.74302429,  78.13264234, 154.03706539,\n",
-       "         62.930027  , 130.98074661, 116.77858192,  85.50644005,\n",
-       "         59.18653061, 143.94724314,  68.89922917,  54.53641869,\n",
-       "        137.91456512,  36.84591618],\n",
-       "       [105.87074508,  25.08970075, 219.53864516, 138.28630271,\n",
-       "         81.30281444, 159.73387463, 104.4148259 ,  44.77425421,\n",
-       "        153.16945192, 101.43982749,  76.87793504,  68.96452846,\n",
-       "         94.41920271, 122.6526061 ,  86.69262434, 111.10334279,\n",
-       "        107.09942791,  58.57468944,  78.22364515, 154.10400617,\n",
-       "         63.10902285, 131.09850413, 117.20433906,  85.48967374,\n",
-       "         59.37601813, 144.0818018 ,  69.25633516,  54.43877403,\n",
-       "        138.41591513,  37.02579917],\n",
-       "       [ 84.01239454,  30.60832115, 165.8704261 , 133.9201292 ,\n",
-       "         65.10892305, 111.95096667,  58.57942637,  65.62034921,\n",
-       "        114.46387936,  73.58778675,  96.11958544,  60.39676495,\n",
-       "         97.41616454, 102.23583523, 113.63692804,  47.99764451,\n",
-       "        113.50199925,  53.4790055 , 108.35309736, 104.56294229,\n",
-       "         85.39973449, 118.94706126,  73.85594312, 101.28141277,\n",
-       "         45.21450675,  75.73072636,  31.56403791, 114.25818432,\n",
-       "         75.85904749,  71.8360614 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>162.8 113.4 40.59 ... 42.73 130.2</div><input id='attrs-b76530d4-bdb2-410e-bc91-f8a82ba1cc0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b76530d4-bdb2-410e-bc91-f8a82ba1cc0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0c0cbfe-f9dc-47da-86fa-5c832e7e6a4f' class='xr-var-data-in' type='checkbox'><label for='data-b0c0cbfe-f9dc-47da-86fa-5c832e7e6a4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_06: fa.PR_SUM_06(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[162.80763946, 113.41829237,  40.59382135, 109.35459449,\n",
-       "        102.95640645, 141.35983124, 124.77037438,  80.24981435,\n",
-       "        115.4105024 , 132.69948121,  35.81760557,  83.47039964,\n",
-       "        126.51836247, 172.17826137,  39.72381914,  91.42997622,\n",
-       "         82.96134842, 161.00318241,  91.19365082, 118.98368264,\n",
-       "         89.00224849,  96.29217449,  72.63097576,  92.65299286,\n",
-       "        113.40316643, 161.15816817, 100.71155628, 166.63082534,\n",
-       "        158.42267689, 133.88957871],\n",
-       "       [161.56372581, 113.25530655,  40.55026727, 110.052114  ,\n",
-       "        102.7699817 , 141.51789279, 124.73581101,  80.10266373,\n",
-       "        115.75237679, 133.34124826,  36.20497255,  83.45331375,\n",
-       "        126.66560375, 172.30592197,  39.87420578,  91.6378473 ,\n",
-       "         82.94205889, 161.06024519,  91.12913658, 118.86539148,\n",
-       "         89.00704521,  96.60394751,  72.85984121,  92.92147021,\n",
-       "        113.2262808 , 161.63769396, 101.47384683, 165.96600162,\n",
-       "        158.37328792, 134.17592113],\n",
-       "       [ 98.66570614, 106.23342765,  76.94807943,  96.94504962,\n",
-       "         63.10318095,  89.13018833,  84.4087439 ,  58.26355804,\n",
-       "         93.41503007, 116.03300638,  42.03305323,  65.27975941,\n",
-       "        108.21208973, 100.9501663 ,  27.29446693,  94.99449155,\n",
-       "         63.34901863, 140.67448053, 105.15389833, 105.44662445,\n",
-       "         82.83686194, 129.52857276,  77.56977315,  67.91497411,\n",
-       "         76.79642115,  84.29553787,  93.9737058 , 149.48720147,\n",
-       "         42.73206703, 130.22018959]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.57 67.58 81.61 ... 163.0 66.45</div><input id='attrs-89a2d914-bf3c-49d7-8853-4d2fd4f662a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89a2d914-bf3c-49d7-8853-4d2fd4f662a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27672ef0-024e-485c-81e8-fe1799d8d623' class='xr-var-data-in' type='checkbox'><label for='data-27672ef0-024e-485c-81e8-fe1799d8d623' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_07: fa.PR_SUM_07(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.56951773,  67.58030397,  81.61088531, 147.18815856,\n",
-       "         93.41848081, 187.8022164 , 118.21232247,  97.16413503,\n",
-       "         66.99669218,  82.36986398,  68.87402785, 174.79185766,\n",
-       "        101.09659852, 204.57043765, 155.00425625, 183.78524988,\n",
-       "         86.93247099, 123.27730362, 113.9599146 , 103.6562607 ,\n",
-       "        125.04834647, 157.51208276,  88.71617083, 113.69302015,\n",
-       "         91.45948957,  97.73177191, 138.09055858, 189.41991085,\n",
-       "        143.96325237,  73.12455898],\n",
-       "       [ 73.58237257,  67.17967886,  81.95388953, 146.7129233 ,\n",
-       "         93.47047456, 189.03226761, 118.46963882,  97.03994915,\n",
-       "         67.42272783,  82.6986692 ,  68.8115279 , 173.8740008 ,\n",
-       "        101.38080207, 204.11571148, 155.79236505, 182.83380884,\n",
-       "         86.98605485, 123.34499746, 114.57403154, 103.92564096,\n",
-       "        124.84057501, 158.67245015,  87.49612772, 113.68437422,\n",
-       "         90.96609723,  97.55808465, 137.4426261 , 189.50129238,\n",
-       "        143.64622062,  73.29014345],\n",
-       "       [ 60.61999494,  57.38936538,  68.36331318, 145.23423543,\n",
-       "        156.42293403, 103.4939775 ,  95.9235497 ,  83.77607045,\n",
-       "         48.98114461,  65.12193664, 100.09813253,  91.65548236,\n",
-       "         68.60068704, 116.18188568, 138.3173836 , 165.04800311,\n",
-       "         63.6773874 ,  76.3826813 , 125.88164402,  74.92022009,\n",
-       "         41.00170302, 102.56624057, 102.70158893, 108.88473089,\n",
-       "         62.57838899, 106.07698194,  97.86749914, 138.7163356 ,\n",
-       "        163.03373891,  66.44644481]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>142.2 117.3 88.39 ... 120.0 102.2</div><input id='attrs-efa8753e-790c-45e0-942f-34c512909512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa8753e-790c-45e0-942f-34c512909512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-148e28d2-2201-480d-9218-a59633bb8de1' class='xr-var-data-in' type='checkbox'><label for='data-148e28d2-2201-480d-9218-a59633bb8de1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_08: fa.PR_SUM_08(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[142.17700918, 117.34089635,  88.39079101,  97.38922239,\n",
-       "         61.39302248, 137.01332558,  64.07064279, 141.14234912,\n",
-       "         66.58329942, 178.59259726, 185.1186627 , 121.40983251,\n",
-       "        142.97048289,  89.29774222,  77.62911196,  94.64073801,\n",
-       "        138.75034736,  68.39109758,  73.66064922, 114.310048  ,\n",
-       "        103.80380096,  43.90071096, 119.55266332, 142.30616672,\n",
-       "        149.20413261, 111.29686403,  86.40840534, 111.1404256 ,\n",
-       "         85.26391487,  99.50795985],\n",
-       "       [142.00192448, 117.42298002,  88.2192102 ,  97.87106276,\n",
-       "         61.7689147 , 137.38890119,  63.97601207, 141.28791277,\n",
-       "         66.78546821, 179.42117867, 186.02851649, 120.65244076,\n",
-       "        143.19985713,  89.14468181,  77.99077813,  94.97028468,\n",
-       "        139.62879689,  68.64952046,  73.69789803, 114.64279234,\n",
-       "        103.28351464,  44.04071204, 119.21033119, 142.97027012,\n",
-       "        149.85672689, 111.13827176,  85.655988  , 111.36723496,\n",
-       "         85.59252619, 100.07187097],\n",
-       "       [ 84.34835355,  88.62300539,  77.9808916 , 107.69532556,\n",
-       "         48.19918676,  95.97964867, 106.41922262, 222.90979655,\n",
-       "         93.35817419,  50.91947686,  93.08071244, 156.42813246,\n",
-       "         88.64374365, 134.52492549,  54.7385885 ,  66.39915603,\n",
-       "        107.97321199,  95.55363798,  73.40644184,  93.84714307,\n",
-       "        126.18427654,  44.0264344 ,  88.52983401,  66.38112953,\n",
-       "         83.84246551,  92.25501455, 103.83718559, 111.93554046,\n",
-       "        120.01375833, 102.24827536]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.3 101.4 80.7 ... 40.39 162.7</div><input id='attrs-1746c23d-069b-4abd-aba7-338c99db89f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1746c23d-069b-4abd-aba7-338c99db89f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-486a7313-8525-46d8-b3ea-89300159b02e' class='xr-var-data-in' type='checkbox'><label for='data-486a7313-8525-46d8-b3ea-89300159b02e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_09: fa.PR_SUM_09(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[131.2983278 , 101.41880615,  80.70447736,  50.76260981,\n",
-       "        126.80035291, 186.72541472, 117.1577319 ,  77.17950308,\n",
-       "         98.35962117, 117.93279737,  69.51150864, 133.38621108,\n",
-       "        111.77972798,  80.39993448, 101.75652525,  95.81306542,\n",
-       "        102.58777531, 105.96719588, 190.57098517,  74.34606253,\n",
-       "         81.6902341 , 102.5638065 ,  79.03519039,  83.98582836,\n",
-       "        151.72772625,  85.83917225,  80.37431901,  71.38467602,\n",
-       "         68.95324708, 194.92020981],\n",
-       "       [131.37825528, 101.63247306,  80.54910833,  51.086636  ,\n",
-       "        126.76993601, 186.88965472, 117.79013353,  77.09580458,\n",
-       "         98.36164192, 118.00870883,  69.72946562, 133.40449815,\n",
-       "        111.78810738,  80.11675246, 102.17103984,  95.90911682,\n",
-       "        102.3800055 , 105.65631138, 190.30890978,  74.47250419,\n",
-       "         81.12914951, 102.75269185,  78.91271657,  83.46179427,\n",
-       "        151.02854293,  85.52000762,  80.64469443,  70.82444764,\n",
-       "         69.37962439, 194.24471883],\n",
-       "       [141.12871798, 113.15895831, 101.6695283 ,  84.18356737,\n",
-       "         54.55557108, 100.41823778,  58.41709475, 133.90658696,\n",
-       "         79.40237866, 106.12371167, 105.21768118, 138.71612014,\n",
-       "         77.87348963,  81.70461188,  82.44895357,  97.70292884,\n",
-       "        120.44771305, 109.11586781, 153.34133751,  76.22885281,\n",
-       "        146.53942314,  64.83219527, 132.90259897,  19.42205284,\n",
-       "        156.18838337, 123.64175432,  45.8398223 , 102.18871976,\n",
-       "         40.39381466, 162.671824  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>129.4 46.1 96.5 ... 130.9 61.07</div><input id='attrs-47477ff7-d323-464e-93e2-243e1dda43b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47477ff7-d323-464e-93e2-243e1dda43b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8df0da6-e32f-4ac6-9204-5eeac82accbb' class='xr-var-data-in' type='checkbox'><label for='data-a8df0da6-e32f-4ac6-9204-5eeac82accbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_10: fa.PR_SUM_10(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[129.36924874,  46.09766182,  96.50354881,  64.19548293,\n",
-       "         86.54607602,  69.1935132 ,  98.70916392, 120.02210366,\n",
-       "        107.81878339, 152.15915148, 161.7825605 ,  62.10563637,\n",
-       "        122.34025167,  24.15012736, 149.0946572 , 117.87713915,\n",
-       "         53.1529043 ,  87.57026688, 111.171548  ,  67.90124327,\n",
-       "        113.00214163,  89.47917862, 158.40828467,  59.54444621,\n",
-       "        152.67531271, 178.41536325, 116.59738741, 100.58405335,\n",
-       "         91.40752128, 141.65551429],\n",
-       "       [129.68974744,  46.23326339,  96.60276742,  64.34355595,\n",
-       "         86.71608801,  69.27415669,  98.79367995, 119.73035163,\n",
-       "        107.73885831, 152.32106284, 160.81529965,  62.22540285,\n",
-       "        122.33432883,  24.08712087, 149.10072666, 117.76121649,\n",
-       "         52.8900649 ,  87.60431702, 110.97755349,  67.89985686,\n",
-       "        113.03187323,  89.37280031, 158.66963503,  59.32230773,\n",
-       "        153.40866167, 178.53588479, 116.47144768, 100.18318951,\n",
-       "         91.34770344, 142.08534878],\n",
-       "       [100.91925212,  78.32144867, 116.29037235,  91.45597252,\n",
-       "         64.10102758,  61.31575992,  93.89832215, 152.65895984,\n",
-       "         84.02303523, 123.99370419, 135.48234643,  68.08498661,\n",
-       "        137.84493408,  49.67258608, 141.09872403,  68.30926727,\n",
-       "         64.70658806,  42.33613652,  96.16566933,  37.7377374 ,\n",
-       "        166.60041816,  90.67355045, 142.79138951,  87.60697887,\n",
-       "         56.97838133, 167.89788692,  89.43913453,  78.52846296,\n",
-       "        130.90802862,  61.07137116]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.14 114.5 211.9 ... 59.39 78.67</div><input id='attrs-df548fc9-3916-42cd-be07-4c0e136a239d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df548fc9-3916-42cd-be07-4c0e136a239d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e677040-a3e2-446d-ae60-9cacb2e3f283' class='xr-var-data-in' type='checkbox'><label for='data-2e677040-a3e2-446d-ae60-9cacb2e3f283' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_11: fa.PR_SUM_11(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 75.13580929, 114.52677416, 211.91445256,  95.94879956,\n",
-       "         82.86441824, 107.24759783, 117.92841619, 146.22245573,\n",
-       "        163.21469612, 103.41670964,  52.5570827 ,  93.29189581,\n",
-       "        123.10714697, 110.04898162, 136.19019544,  82.64459813,\n",
-       "         96.31734474,  82.28738389,  90.16395407,  54.67663176,\n",
-       "        100.54745642,  94.69964335, 144.47468031,  89.51878074,\n",
-       "        126.45692552, 107.08493334,  92.63840409,  84.03616085,\n",
-       "         76.02304501, 123.59663656],\n",
-       "       [ 75.14660597, 114.06669753, 212.44396622,  95.94883685,\n",
-       "         83.15194939, 107.83700511, 118.16677721, 145.9171389 ,\n",
-       "        163.22857238, 103.42103214,  52.61562812,  93.47553468,\n",
-       "        123.08963981, 110.12051724, 136.15777767,  82.49191402,\n",
-       "         96.27067817,  82.25721275,  90.03555594,  54.82130693,\n",
-       "        100.56146026,  94.6902275 , 144.20530249,  89.62848574,\n",
-       "        126.3851898 , 107.05391799,  92.72122928,  83.73505617,\n",
-       "         76.5074062 , 123.78068653],\n",
-       "       [ 54.34011433, 100.38086985, 113.91536945, 112.77715111,\n",
-       "         76.27022416,  54.75576285,  70.34604659, 110.42750727,\n",
-       "        157.38947492, 136.30323865,  65.41541493,  98.79545301,\n",
-       "         98.8214726 ,  96.86141772, 140.86621059,  92.91101335,\n",
-       "         53.58672514,  80.93066163, 113.43537728,  66.1062458 ,\n",
-       "         91.57066099,  93.16621659, 142.13102337,  83.01155926,\n",
-       "        129.61328484, 101.07552642,  72.55635306,  85.92150888,\n",
-       "         59.38522834,  78.67271769]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>82.06 105.9 170.6 ... 66.37 92.34</div><input id='attrs-d5f34003-22fb-4381-8bba-69add93807d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5f34003-22fb-4381-8bba-69add93807d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f666b2a5-8654-488e-b543-d564c4eff215' class='xr-var-data-in' type='checkbox'><label for='data-f666b2a5-8654-488e-b543-d564c4eff215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:17] pr_sum_12: fa.PR_SUM_12(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 82.05642173, 105.92027332, 170.63817824,  99.99524289,\n",
-       "         65.93614439,  79.4087846 ,  59.82280074,  51.62654905,\n",
-       "         58.04790591, 144.76656794,  69.29918602,  50.31850028,\n",
-       "         71.03131417,  57.98253455,  67.99112159, 130.34913518,\n",
-       "         61.58099099,  84.28524335,  62.42383876, 133.46954722,\n",
-       "         39.08647318,  40.69718141, 183.97074446, 125.43724617,\n",
-       "         91.59748659,  81.91632254, 125.5958008 , 146.25570698,\n",
-       "        102.26047659, 124.52485081],\n",
-       "       [ 82.31905807, 105.83236792, 170.95290006, 100.16903767,\n",
-       "         65.86724345,  79.62784882,  59.80329482,  51.57391398,\n",
-       "         58.0952821 , 144.66871533,  69.44484492,  50.36867842,\n",
-       "         71.04158619,  57.9632743 ,  67.99510218, 130.4415185 ,\n",
-       "         61.79503443,  83.88202575,  62.44179447, 133.21167012,\n",
-       "         39.17804785,  40.82355566, 183.95610614, 125.21917855,\n",
-       "         91.51335182,  82.38152967, 125.60739955, 146.44319709,\n",
-       "        102.3458729 , 124.3864407 ],\n",
-       "       [ 45.50437318, 114.83148886,  87.47519747,  97.43725934,\n",
-       "         73.80381354,  69.71752769,  71.12533489,  61.85303538,\n",
-       "         48.41981207,  73.32101905,  72.7450917 ,  63.51188888,\n",
-       "         44.44283542,  35.27717441,  51.82450661,  89.15702311,\n",
-       "         32.27346185,  65.59315072,  81.70091774,  72.01059752,\n",
-       "         59.3484713 ,  48.05389039,  78.04215559, 129.29257276,\n",
-       "         57.15556357,  70.78049768,  99.46681331, 134.89312849,\n",
-       "         66.37407544,  92.34257448]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>476.9 260.7 513.8 ... 317.2 253.4</div><input id='attrs-de7a1ced-c24a-4d20-a729-0325625e49f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de7a1ced-c24a-4d20-a729-0325625e49f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a57004f-ae4d-4f96-a3ed-33193f03b336' class='xr-var-data-in' type='checkbox'><label for='data-2a57004f-ae4d-4f96-a3ed-33193f03b336' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:19] pr_sum_spring: fa.PR_SUM_SPRING(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[476.88870814, 260.72088455, 513.83608728, 441.92086989,\n",
-       "        401.14066263, 421.97696053, 295.39316358, 246.97412483,\n",
-       "        432.32145383, 396.67195607, 365.9851674 , 339.24352629,\n",
-       "        415.93999483, 435.41885519, 301.08204389, 433.30958282,\n",
-       "        401.4784079 , 380.85469474, 288.42219436, 445.89940635,\n",
-       "        263.54735907, 396.37121118, 380.97269361, 296.18350578,\n",
-       "        413.53440498, 394.92594377, 369.12657875, 412.28512393,\n",
-       "        389.14079326, 298.26795014],\n",
-       "       [476.85651092, 260.55768156, 512.29597708, 443.93954046,\n",
-       "        401.3219603 , 421.25792665, 295.71416568, 246.62450743,\n",
-       "        433.17774237, 397.49465641, 366.98659293, 339.46603106,\n",
-       "        416.32093672, 437.21003317, 300.27864417, 433.55428099,\n",
-       "        401.23611891, 380.48778687, 288.63226487, 446.41622496,\n",
-       "        264.21758387, 396.52868671, 381.53523831, 296.96484215,\n",
-       "        413.33176496, 395.5269913 , 370.07941267, 411.88715204,\n",
-       "        390.14565525, 299.19654635],\n",
-       "       [369.73944678, 266.1035476 , 374.05592192, 352.65474182,\n",
-       "        360.41004532, 347.8084544 , 243.98992315, 267.0605682 ,\n",
-       "        306.52099113, 298.65881296, 356.64431128, 276.28946183,\n",
-       "        276.28423078, 286.64181231, 273.93993489, 310.49708965,\n",
-       "        324.22030794, 323.35079276, 276.15182229, 296.25024717,\n",
-       "        245.51089536, 436.34929633, 279.7734011 , 316.91168422,\n",
-       "        304.62205098, 288.38091337, 280.4825964 , 400.23893624,\n",
-       "        317.24595563, 253.41959057]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>612.0 464.9 505.4 ... 492.6 484.3</div><input id='attrs-bc60e1fc-9cf6-47eb-8d1e-5e24fcbd52ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc60e1fc-9cf6-47eb-8d1e-5e24fcbd52ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e851d21f-0543-4fdd-833b-c3aef4406cd5' class='xr-var-data-in' type='checkbox'><label for='data-e851d21f-0543-4fdd-833b-c3aef4406cd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:21] pr_sum_summer_fall: fa.PR_SUM_SUMMER_FALL(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[612.00291949, 464.90558608, 505.38165303, 481.01964922,\n",
-       "        461.4137243 , 679.51228672, 503.10075551, 624.31622992,\n",
-       "        474.08718491, 661.22096199, 525.98067827, 582.24065653,\n",
-       "        622.86277279, 562.77733308, 590.41428219, 610.95868553,\n",
-       "        489.76386995, 487.89453113, 562.73624343, 470.50429351,\n",
-       "        519.57580103, 498.47063168, 540.73436331, 459.31582029,\n",
-       "        634.19686133, 646.46741081, 511.14766709, 593.37681367,\n",
-       "        526.61472207, 662.91379012],\n",
-       "       [610.92497593, 464.61702305, 505.8660077 , 481.51282706,\n",
-       "        462.28352247, 681.5949487 , 504.18114181, 623.425661  ,\n",
-       "        474.75664461, 663.00703419, 526.23869412, 580.42030857,\n",
-       "        623.75895187, 561.29354177, 591.97477088, 609.95593195,\n",
-       "        490.19968698, 488.12225902, 562.67143504, 471.13645131,\n",
-       "        518.21158545, 500.05856482, 539.23541804, 459.21628809,\n",
-       "        634.3359697 , 646.15929096, 510.5360103 , 592.35334245,\n",
-       "        526.93191123, 663.81345658],\n",
-       "       [463.63069988, 430.48890545, 487.45589375, 579.76456323,\n",
-       "        408.1160033 , 432.84890473, 425.90738988, 731.50772288,\n",
-       "        459.6350703 , 474.15142991, 473.97590414, 574.09096039,\n",
-       "        495.11497154, 496.08797376, 536.50696087, 511.06301099,\n",
-       "        421.56276615, 444.19346611, 558.07355177, 376.96088128,\n",
-       "        574.87773442, 407.80101551, 582.25582799, 357.72106208,\n",
-       "        440.46752571, 587.92041828, 399.34097257, 536.97724435,\n",
-       "        492.55087567, 484.297609  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.276e+03 1.008e+03 ... 968.1 921.3</div><input id='attrs-d29dcbe2-3d7d-4394-8368-f30a92f16278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d29dcbe2-3d7d-4394-8368-f30a92f16278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-030c00e6-293b-4e9c-928c-279b030a740a' class='xr-var-data-in' type='checkbox'><label for='data-030c00e6-293b-4e9c-928c-279b030a740a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] pr_sum_year: fa.PR_SUM_YEAR(pr=pr) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[1275.61029933, 1007.77051484, 1405.23540356, 1095.37340728,\n",
-       "         999.03940583, 1390.33216304,  994.47550489, 1015.24452786,\n",
-       "        1098.08443197, 1363.43052591, 1048.63997592, 1112.32530242,\n",
-       "        1249.55692631, 1188.11782924, 1135.09063889, 1289.62522691,\n",
-       "        1124.71945723, 1134.52573059, 1119.58408456, 1176.23458003,\n",
-       "         946.31461353, 1056.77828225, 1220.33344121,  997.51444463,\n",
-       "        1250.82722521, 1323.00444327, 1131.3488351 , 1327.73215131,\n",
-       "        1142.7894014 , 1201.84060723],\n",
-       "       [1274.81499153, 1007.37242283, 1404.86696419, 1098.23940118,\n",
-       "        1000.12143776, 1392.42060842,  996.23778034, 1013.99731661,\n",
-       "        1099.64525382, 1365.86198551, 1050.02025556, 1110.86033214,\n",
-       "        1250.88841201, 1188.73051148, 1135.89801937, 1288.62988393,\n",
-       "        1125.23904275, 1134.25522564, 1119.5557058 , 1177.31614318,\n",
-       "         945.73141201, 1058.64862107, 1219.53229935,  998.08885807,\n",
-       "        1250.81266824, 1323.6934256 , 1131.99727718, 1326.41879072,\n",
-       "        1144.47625377, 1203.27385297],\n",
-       "       [ 968.60065472,  942.27759778, 1076.07764707, 1092.47308188,\n",
-       "         922.41917653,  930.34179661,  835.89871405, 1155.46334974,\n",
-       "         932.25105387,  994.31952349,  994.89161462, 1011.06762704,\n",
-       "         932.0387547 ,  922.53199097,  981.95261197, 1033.4207121 ,\n",
-       "         940.95533823,  936.86656056, 1067.10931027,  843.64354724,\n",
-       "        1007.82483937,  992.44034383, 1034.25086186,  917.85009097,\n",
-       "         917.8025586 , 1118.55309348,  877.04709098, 1218.24049717,\n",
-       "         968.14139331,  921.3291193 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>67.68 110.8 18.01 ... 133.8 77.56</div><input id='attrs-a08f7450-1d4e-4233-b2e0-7ba043c36c60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a08f7450-1d4e-4233-b2e0-7ba043c36c60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e74c13f1-3518-4570-a8c7-18d6f699b286' class='xr-var-data-in' type='checkbox'><label for='data-e74c13f1-3518-4570-a8c7-18d6f699b286' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_01: fa.SND_MEAN_01(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 67.68034464, 110.78492579,  18.00656939, 147.8793057 ,\n",
-       "         78.33036725,  69.6968544 ,  88.51948846,  55.70864449,\n",
-       "         49.89223874, 102.94742893,  47.01992837,  29.44279231,\n",
-       "         20.91444929,  66.51791196,  29.22274476,  75.6143354 ,\n",
-       "         45.25937081, 142.52672604,  73.08338292,  33.43010692,\n",
-       "         85.48568747,  33.42566959,  38.17790394,  73.18279542,\n",
-       "         58.94821902,  99.21136418,  15.72517873, 112.07680462,\n",
-       "         87.57566492,  65.3257813 ],\n",
-       "       [ 66.59815887, 110.09335216,  17.81679366, 146.33051688,\n",
-       "         77.49623001,  69.32743057,  87.8243161 ,  55.13989535,\n",
-       "         49.24760132, 101.68387092,  45.36529949,  28.99339328,\n",
-       "         20.24512685,  66.12951199,  28.43364275,  74.79349051,\n",
-       "         44.11280113, 141.9454367 ,  72.48101828,  32.67940823,\n",
-       "         84.89899325,  33.26383117,  37.25381577,  72.70756959,\n",
-       "         57.36018835,  98.34432103,  15.50395279, 110.77788353,\n",
-       "         86.12157257,  64.81934601],\n",
-       "       [112.90372099,  89.91732911,  29.4803631 , 135.66343247,\n",
-       "         80.40308338,  73.59760491,  89.74237576,  73.21906576,\n",
-       "         70.27815238, 118.69934693,  71.17330054,  60.53579967,\n",
-       "         63.86842427,  58.1094153 ,  27.82669077, 103.31754454,\n",
-       "        101.11239207,  69.94074856,  59.99009286,  62.95271521,\n",
-       "         91.45287805,  50.74276862,  64.26643281,  76.14415434,\n",
-       "        131.52828384,  85.84895085,  20.37767966,  88.56874582,\n",
-       "        133.82035982,  77.55644563]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.3 183.4 44.98 ... 168.5 89.92</div><input id='attrs-245ece1c-5312-448d-a611-7661cd230ce7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-245ece1c-5312-448d-a611-7661cd230ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-544ee5d5-f259-4dcc-9509-0074df8494c7' class='xr-var-data-in' type='checkbox'><label for='data-544ee5d5-f259-4dcc-9509-0074df8494c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_02: fa.SND_MEAN_02(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 48.29997508, 183.37751574,  44.9800082 , 154.74962741,\n",
-       "         92.77853968, 111.24317241, 124.07932147,  63.78058645,\n",
-       "         82.44489614, 146.30748549,  59.00655868,  58.05546674,\n",
-       "         54.12723512, 104.96301425,  51.11877441,  48.38243171,\n",
-       "        110.92690881, 187.33708343,  88.84864096,  83.2605952 ,\n",
-       "        129.23639028,  71.5558158 ,  69.07080294, 105.16980028,\n",
-       "         63.63936489, 125.95074061,  37.85414631, 169.44689917,\n",
-       "        120.55397691,  61.99405204],\n",
-       "       [ 46.66647419, 182.59646761,  44.14950118, 152.46667226,\n",
-       "         91.6460874 , 110.44928695, 123.41828726,  62.06741081,\n",
-       "         81.11176544, 143.89527942,  56.39113668,  57.10129344,\n",
-       "         53.23655386, 103.88636301,  49.92968289,  46.16501048,\n",
-       "        108.73644935, 186.39081542,  86.7750987 ,  82.38164631,\n",
-       "        128.48142887,  70.51299181,  68.05755169, 104.62881037,\n",
-       "         61.36689891, 123.71240636,  37.55111422, 167.2610035 ,\n",
-       "        118.61276023,  61.02131409],\n",
-       "       [122.26998517, 138.66133566,  64.14024432, 143.8314866 ,\n",
-       "        118.87106209,  95.93058628, 128.33669372,  99.28140167,\n",
-       "        110.69890797, 156.3457297 , 100.95273106, 113.56972388,\n",
-       "        102.45239173,  95.0704074 ,  42.35423437, 140.88811452,\n",
-       "        167.37989141,  95.32330941,  83.33473623,  79.22632913,\n",
-       "        141.79860044, 110.3120374 ,  95.56042134, 120.13744174,\n",
-       "        145.5482975 , 171.14925243,  38.74901615, 122.23684409,\n",
-       "        168.45076143,  89.91705256]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.974 195.5 36.08 ... 194.6 80.46</div><input id='attrs-6d4e21ee-5752-4b55-912a-f04a1bd0a0e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d4e21ee-5752-4b55-912a-f04a1bd0a0e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3d2d66b-6e0a-4fcc-9cc9-0768fe4aad20' class='xr-var-data-in' type='checkbox'><label for='data-e3d2d66b-6e0a-4fcc-9cc9-0768fe4aad20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_03: fa.SND_MEAN_03(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[  8.974288  , 195.50803325,  36.07669425, 163.06132795,\n",
-       "         90.4996182 , 127.03800696, 111.78909222,  70.17601953,\n",
-       "         86.31946076, 126.43165064,  44.3931008 ,  55.10639389,\n",
-       "        108.69088438, 114.58432681,  39.96253287,  16.94167359,\n",
-       "        180.15298106, 186.48424519,  90.33573446,  19.18463185,\n",
-       "        174.18353931,  26.36082637,  86.82961854,  71.24111816,\n",
-       "         99.17867831, 107.01757952,  52.21104191, 255.65661682,\n",
-       "         97.87000321,  31.86749916],\n",
-       "       [  8.61464986, 194.17146226,  34.61214389, 159.68638139,\n",
-       "         87.94654627, 125.33559753, 110.6314392 ,  67.46743727,\n",
-       "         84.23830501, 122.58795229,  39.67979699,  53.12236852,\n",
-       "        107.57287395, 112.7717762 ,  38.44741216,  14.49167146,\n",
-       "        176.54565946, 184.43360353,  86.85559855,  17.79326195,\n",
-       "        173.14610695,  24.40363617,  85.40711574,  69.30772232,\n",
-       "         96.29875707, 103.65726477,  51.26147132, 252.84274213,\n",
-       "         94.02826511,  30.67933666],\n",
-       "       [ 85.04145561, 162.75557334,  50.93607147, 140.90900965,\n",
-       "        199.12856282, 119.90748442, 119.18847155, 140.35620691,\n",
-       "        129.26824126, 127.8156462 , 123.03023503, 160.35298151,\n",
-       "        120.10573127,  99.538352  ,  33.0449208 , 167.46941615,\n",
-       "        242.25530414, 121.51741583, 101.62835418,  19.19113765,\n",
-       "        184.66822607, 176.39699669, 108.23675633, 131.71746473,\n",
-       "        176.55958303, 197.78973237,  42.73239852, 153.3499245 ,\n",
-       "        194.60592434,  80.46474715]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1946 81.42 4.933 ... 117.7 2.051</div><input id='attrs-541c9cd1-357f-4585-b517-06b3cf614884' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-541c9cd1-357f-4585-b517-06b3cf614884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5140b808-2ea6-45bd-99d8-f7e22620eece' class='xr-var-data-in' type='checkbox'><label for='data-5140b808-2ea6-45bd-99d8-f7e22620eece' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_04: fa.SND_MEAN_04(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[  0.19461214,  81.41902001,   4.93346062,  34.31216759,\n",
-       "         22.45040753,   1.32568055,   0.42611347,   0.71272864,\n",
-       "          6.33559434,  15.02498208,   1.28253454,   4.08289066,\n",
-       "         19.01791052,  30.07318603,   0.67524072,   3.32157917,\n",
-       "         84.42738702,  20.14914777,  10.14107476,   5.28844095,\n",
-       "        105.16263899,   2.95956749,   4.7536247 ,   1.29480615,\n",
-       "          5.37773604,   4.05644534,   9.8644111 , 141.85424967,\n",
-       "          2.31566559,   1.15988753],\n",
-       "       [  0.19438974,  78.57831909,   4.56924806,  31.55193635,\n",
-       "         20.06432327,   0.98803973,   0.3829946 ,   0.52132145,\n",
-       "          5.42241346,  12.12356795,   0.59560779,   3.48578483,\n",
-       "         18.15944762,  28.19234034,   0.59240447,   2.84249673,\n",
-       "         79.47643926,  17.9453371 ,   8.13470149,   5.22103308,\n",
-       "        103.62641154,   2.57707132,   4.27036669,   1.03560207,\n",
-       "          4.46032533,   3.28714592,   9.50595513, 137.99816422,\n",
-       "          1.65939185,   1.14768871],\n",
-       "       [  5.85500907, 114.58472729,  20.1666483 ,  65.97430636,\n",
-       "        165.37497912,  13.56272353,  11.34588654,  18.64492462,\n",
-       "         53.93241039,  65.22808609,  20.93358567, 121.81367949,\n",
-       "         33.25611253,  56.79718983,   2.47831129, 140.92870012,\n",
-       "        176.53271799,   5.27601157,  16.36012122,   5.79463319,\n",
-       "        100.07229082,  96.05440149,  37.93585552,  48.62172667,\n",
-       "        102.55799185,  73.14267908,   6.1642968 ,  84.48334719,\n",
-       "        117.73950012,   2.05053619]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008909 0.003593 ... 0.1019 1.929</div><input id='attrs-51b6689e-63a5-4caf-ac31-23e0f18776f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51b6689e-63a5-4caf-ac31-23e0f18776f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b297115d-17a6-457f-9719-9f487195a0cb' class='xr-var-data-in' type='checkbox'><label for='data-b297115d-17a6-457f-9719-9f487195a0cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_05: fa.SND_MEAN_05(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.90943261e-03,  3.59264185e-03,  1.49740253e-02,\n",
-       "         3.83972563e-05,  3.67432974e-03,  2.00298335e-03,\n",
-       "         5.79906998e-03,  7.09394967e-06,  5.08814673e-05,\n",
-       "         1.79812807e-06, -7.34536492e-22, -7.34536492e-22,\n",
-       "         1.56626518e-04,  4.41481336e-02, -7.34536492e-22,\n",
-       "         5.96662034e-03,  2.71145489e-01,  6.03657281e-06,\n",
-       "         7.83015233e-05,  2.37805770e-05,  6.19295401e-03,\n",
-       "         9.74391822e-02,  2.99670333e-05,  2.45740580e-01,\n",
-       "         1.76856176e-03, -7.34536492e-22,  5.70586983e-04,\n",
-       "         2.16209764e-02, -7.34536492e-22,  2.11709695e-02],\n",
-       "       [ 8.79996557e-03,  1.10184911e-03,  1.30819993e-02,\n",
-       "         2.49545892e-06,  2.73827138e-03,  1.83963102e-03,\n",
-       "         6.30716733e-03,  4.15909820e-08,  1.56313897e-05,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "         1.28265214e-04,  4.26382663e-02, -7.34536492e-22,\n",
-       "         6.16885870e-03,  2.04457938e-01, -7.34536492e-22,\n",
-       "         1.27904759e-05,  2.42032224e-05,  4.09577001e-03,\n",
-       "         9.26469155e-02,  2.44793590e-05,  2.43711100e-01,\n",
-       "         1.75090815e-03, -7.34536492e-22,  6.52978417e-06,\n",
-       "         7.51016229e-03, -7.34536492e-22,  2.13241808e-02],\n",
-       "       [ 1.63420014e-02,  5.80959829e-01,  1.24193532e+00,\n",
-       "         3.17093180e-01,  4.99303796e-02,  9.55570695e-02,\n",
-       "         1.51053999e-01,  3.77936764e-03,  6.72988157e-01,\n",
-       "         7.52345937e-02,  2.98176596e-05,  8.08759966e-01,\n",
-       "         1.77579004e-03,  4.98375211e-01,  5.55383105e-03,\n",
-       "         6.75374565e+00,  1.04702579e+01,  1.71769902e-05,\n",
-       "         2.43266564e-03,  8.83377704e-04,  1.30653976e-02,\n",
-       "         7.30952664e-01,  1.32427586e-02,  1.07841385e+00,\n",
-       "         3.19504776e-01,  2.59983043e-02,  6.49965428e-04,\n",
-       "         7.29413425e-01,  1.01935820e-01,  1.92902400e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-f8771b7a-aecc-4af7-a952-b839df575f9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8771b7a-aecc-4af7-a952-b839df575f9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6da2ca6-7422-47ee-a54e-f27331443c21' class='xr-var-data-in' type='checkbox'><label for='data-e6da2ca6-7422-47ee-a54e-f27331443c21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_06: fa.SND_MEAN_06(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22,  7.06952732e-05, -7.34536492e-22,\n",
-       "        -7.34536492e-22,  1.37445069e-09, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22,  2.38447665e-07,\n",
-       "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22,  9.30205484e-02,\n",
-       "        -7.34536492e-22,  4.50661029e-03, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-0e3c6fb7-0fff-41c7-a3d2-a8b080ee4712' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e3c6fb7-0fff-41c7-a3d2-a8b080ee4712' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-083fe9c4-d3be-4b07-aa30-2032fa855613' class='xr-var-data-in' type='checkbox'><label for='data-083fe9c4-d3be-4b07-aa30-2032fa855613' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_07: fa.SND_MEAN_07(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-8ebae63a-cb40-483c-ab11-2e9114407a5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ebae63a-cb40-483c-ab11-2e9114407a5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9081e130-f60b-4b64-b929-6c17328e73a6' class='xr-var-data-in' type='checkbox'><label for='data-9081e130-f60b-4b64-b929-6c17328e73a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_08: fa.SND_MEAN_08(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-c9cf8bef-93c7-46ae-af4f-8fefbe9453ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9cf8bef-93c7-46ae-af4f-8fefbe9453ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f144382-f7ae-462a-a0ad-da9f6bce0b85' class='xr-var-data-in' type='checkbox'><label for='data-7f144382-f7ae-462a-a0ad-da9f6bce0b85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_09: fa.SND_MEAN_09(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22,  3.66472307e-05,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22,  3.51115510e-05,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
-       "       [ 9.81708680e-05, -7.34536492e-22, -7.34536492e-22,\n",
-       "         1.24564882e-06, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "         7.24352160e-04,  2.18431813e-02,  7.02767597e-03,\n",
-       "         1.54661604e-02, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22,  4.50672866e-05, -7.34536492e-22,\n",
-       "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3611 -7.345e-22 ... 0.5817 0.4031</div><input id='attrs-08113568-638d-4ef7-906c-2ed30152db45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08113568-638d-4ef7-906c-2ed30152db45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d6fbdfe-8a75-4408-a23d-1eaf3aa5acc7' class='xr-var-data-in' type='checkbox'><label for='data-3d6fbdfe-8a75-4408-a23d-1eaf3aa5acc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_10: fa.SND_MEAN_10(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.61139143e-01, -7.34536492e-22,  2.41486332e-03,\n",
-       "         2.29913481e-02,  4.69827196e-03,  4.94546779e-06,\n",
-       "         9.05844746e-02,  4.83066363e-01,  1.33699912e-01,\n",
-       "         1.30300386e-04,  6.23410965e-04,  7.34941737e-03,\n",
-       "         1.46288737e-02, -7.34536492e-22,  3.46234867e-04,\n",
-       "         8.98279376e-03,  2.20148737e+00, -7.34536492e-22,\n",
-       "         1.19405842e-01,  5.29453153e-01,  1.82779646e-02,\n",
-       "         8.12765804e-01,  3.80211111e-01, -7.34536492e-22,\n",
-       "         5.62131621e-01,  7.17810705e-02,  3.53203728e-05,\n",
-       "         2.12440358e-01,  4.74443614e-01,  3.78229469e-02],\n",
-       "       [ 3.53039059e-01, -7.34536492e-22,  2.12471116e-03,\n",
-       "         2.11217644e-02,  4.75507148e-03,  5.59113077e-06,\n",
-       "         9.08719839e-02,  4.73565500e-01,  1.32524888e-01,\n",
-       "         3.49918899e-05,  4.01060019e-04,  5.82594665e-03,\n",
-       "         1.43570105e-02, -7.34536492e-22,  3.41517223e-04,\n",
-       "         7.18441007e-03,  2.15564576e+00, -7.34536492e-22,\n",
-       "         1.17949372e-01,  5.30136147e-01,  1.82564406e-02,\n",
-       "         7.67531161e-01,  3.76220329e-01, -7.34536492e-22,\n",
-       "         5.67001388e-01,  6.40495318e-02, -7.34536492e-22,\n",
-       "         2.12197131e-01,  4.50945143e-01,  3.88987253e-02],\n",
-       "       [ 9.71583079e-01,  1.42202276e-01,  1.07564546e-01,\n",
-       "         2.02750159e-03,  4.49523262e-04,  4.99882575e-02,\n",
-       "         2.55766768e+00,  8.64158672e-01,  6.25729920e-02,\n",
-       "         3.46245881e-01,  3.40128349e-01,  1.32841331e+00,\n",
-       "         3.63381324e-01,  2.25622383e-03,  1.12344383e-01,\n",
-       "         6.59289327e-02,  5.37784256e+00,  1.82143228e-02,\n",
-       "         8.38507987e-02,  9.84556250e-02,  1.24945707e+00,\n",
-       "         3.46299753e+00,  2.36999203e-01,  3.60352074e-03,\n",
-       "         1.07592907e-01,  5.06036683e+00,  3.10637405e-02,\n",
-       "         7.46009765e-01,  5.81707079e-01,  4.03067289e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.29 2.369 9.772 ... 1.028 7.307</div><input id='attrs-eba18c13-4d6f-46a8-b85c-e1f9e5ee69bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eba18c13-4d6f-46a8-b85c-e1f9e5ee69bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51c5976c-aaeb-43d6-a0a6-6cd2adb0419a' class='xr-var-data-in' type='checkbox'><label for='data-51c5976c-aaeb-43d6-a0a6-6cd2adb0419a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_11: fa.SND_MEAN_11(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.28974404,  2.36937508,  9.7720389 ,  1.36281062,  6.68074249,\n",
-       "        15.26067058,  5.21228243,  4.11255787,  9.59781013,  8.88516485,\n",
-       "         5.76484828,  2.678019  ,  3.57714025,  1.33381731,  7.40823478,\n",
-       "         6.0512239 ,  5.40612165,  1.70078805,  1.17746732,  1.92515025,\n",
-       "         2.89728804, 11.89842887,  1.26028388,  1.06339417,  3.87181501,\n",
-       "         0.34176204,  9.06606465,  2.04047627,  0.21188497,  2.43625587],\n",
-       "       [ 4.25217239,  2.35124633,  9.52005812,  1.34880915,  6.60707211,\n",
-       "        15.26330399,  5.24602963,  4.05860508,  9.58360883,  8.65972836,\n",
-       "         5.72610232,  2.61638331,  3.54660265,  1.32368575,  7.32005598,\n",
-       "         6.03748893,  5.41207684,  1.64675875,  1.18308867,  1.90990846,\n",
-       "         2.8808137 , 11.77985788,  1.23589341,  1.01893053,  3.82899964,\n",
-       "         0.33401563,  9.04767614,  1.96645463,  0.21338249,  2.39608161],\n",
-       "       [ 5.97414333,  4.59966802, 23.1985111 ,  9.37997921,  4.55986743,\n",
-       "        12.04736271,  3.86912073,  8.17806055, 12.66672599, 16.03241909,\n",
-       "         5.09612769,  4.1452475 , 12.26086094,  2.05069653, 21.58187721,\n",
-       "        13.75529997,  7.52542866,  4.96769941,  6.86803519,  7.89144901,\n",
-       "         3.19674127, 13.17395699,  9.62343612,  6.24538221,  4.4819734 ,\n",
-       "         7.26319927,  6.8354026 , 13.48799938,  1.02788522,  7.30698126]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.07 5.757 76.06 ... 36.07 52.67</div><input id='attrs-1362b367-e780-428f-87c6-3cd334df9912' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1362b367-e780-428f-87c6-3cd334df9912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a5591e7-972a-4979-9819-bd0747d97156' class='xr-var-data-in' type='checkbox'><label for='data-9a5591e7-972a-4979-9819-bd0747d97156' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:23] snd_mean_12: fa.SND_MEAN_12(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[44.06703887,  5.75688701, 76.06154416, 22.82101299, 24.2308966 ,\n",
-       "        54.8072441 , 27.15328359, 11.16008122, 64.74145571, 21.53646358,\n",
-       "        18.78228845,  5.58235333, 10.96139923, 15.07888336, 69.62617761,\n",
-       "        16.66124655, 43.33014184,  5.82325247,  4.78346889, 37.19525974,\n",
-       "         6.1123358 , 33.07091552, 31.00560753, 46.19094774, 29.34704565,\n",
-       "         9.04661331, 87.02500989, 44.45698834, 26.6361908 , 30.05993666],\n",
-       "       [43.90815824,  5.65992531, 74.895354  , 22.56122924, 24.15454915,\n",
-       "        54.30642534, 27.033042  , 10.97939011, 64.58107351, 20.75330294,\n",
-       "        18.60581878,  5.46628537, 10.77684199, 14.89296842, 69.34168364,\n",
-       "        16.32096437, 43.34963994,  5.70822208,  4.70671489, 36.82452887,\n",
-       "         6.05001831, 32.55289537, 30.92817279, 45.62181825, 29.18911092,\n",
-       "         8.8825506 , 86.77019675, 43.69726554, 26.49619369, 29.86533787],\n",
-       "       [29.51847223, 13.06661127, 79.29615027, 24.60288283, 27.9573872 ,\n",
-       "        61.30020426, 29.12710498, 21.72144882, 61.384567  , 34.60395909,\n",
-       "        27.00279957, 18.24405838, 18.73304134, 15.66655512, 90.73980834,\n",
-       "        38.46063735, 36.94186856,  9.256202  , 12.63915043, 50.00984291,\n",
-       "        12.09811877, 37.83743338, 45.14734492, 80.50079781, 26.24770645,\n",
-       "        19.18730009, 74.02803973, 94.9719099 , 36.07357874, 52.66858932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.949 92.08 16.65 ... 98.4 33.31</div><input id='attrs-b4c2ce69-a7a4-4f55-8428-f3f72537271b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4c2ce69-a7a4-4f55-8428-f3f72537271b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d526a5-7ede-4dbe-bd7d-64cacb3c0266' class='xr-var-data-in' type='checkbox'><label for='data-97d526a5-7ede-4dbe-bd7d-64cacb3c0266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:24] snd_mean_spring: fa.SND_MEAN_SPRING(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[  6.94929737,  92.07902521,  16.65099301,  68.21291963,\n",
-       "         39.99847624,  46.88460356,  44.55086586,  28.22490342,\n",
-       "         34.38158648,  55.69813485,  19.09309385,  23.83732483,\n",
-       "         39.95017306,  49.44511412,  17.85140255,  11.58839839,\n",
-       "         80.09610708,  76.19214848,  36.3930022 ,  19.24431382,\n",
-       "         85.33268523,  17.13296149,  32.33761524,  33.46821798,\n",
-       "         34.71953509,  44.50255748,  21.2216831 , 119.90551664,\n",
-       "         40.89657462,  16.81828898],\n",
-       "       [  6.62649266,  90.98717453,  16.08420995,  66.39535561,\n",
-       "         38.64957672,  46.28215088,  44.17086057,  27.26013537,\n",
-       "         33.47062654,  53.72882856,  17.40173096,  23.07393351,\n",
-       "         39.35759975,  48.41297019,  17.29683313,  10.54738617,\n",
-       "         77.73096683,  75.03673046,  34.76506634,  18.76221228,\n",
-       "         84.60721983,  16.3943705 ,  31.73941809,  32.86673828,\n",
-       "         33.47471332,  43.17654239,  20.87060944, 118.00063526,\n",
-       "         39.52261029,  16.38864988],\n",
-       "       [ 37.92107125,  85.71171342,  26.63680339,  68.60880355,\n",
-       "        104.32992857,  45.71600183,  49.9971122 ,  54.32308291,\n",
-       "         59.87632699,  68.7719816 ,  49.30233119,  84.31444334,\n",
-       "         51.45495242,  50.39309763,  15.06980094,  96.06404849,\n",
-       "        126.70253564,  44.3117917 ,  40.06098425,  17.53865324,\n",
-       "         88.36961152,  82.1938092 ,  48.8725569 ,  61.38926047,\n",
-       "         87.31866473,  90.07262672,  17.46755735,  75.05453892,\n",
-       "         98.39649583,  33.31421917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1345 0.1227 ... 0.2475 0.7276</div><input id='attrs-631fbc72-657d-4602-8a44-4c7da5e8b216' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-631fbc72-657d-4602-8a44-4c7da5e8b216' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3824a262-c188-4291-9abb-d08b0f95c39b' class='xr-var-data-in' type='checkbox'><label for='data-3824a262-c188-4291-9abb-d08b0f95c39b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:26] snd_mean_summer_fall: fa.SND_MEAN_SUMMER_FALL(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[1.34531232e-01, 1.22744639e-01, 7.60463848e-01, 9.98494341e-02,\n",
-       "        7.48152511e-01, 2.90678702e-01, 2.02503069e-01, 2.57913240e-01,\n",
-       "        1.39042157e-01, 1.38078576e+00, 1.01756178e+00, 1.94433787e-01,\n",
-       "        6.06799688e-01, 2.12406757e-03, 3.24631093e-01, 8.32251382e-02,\n",
-       "        5.89300288e-01, 5.33701277e-02, 2.09365729e-01, 1.69883204e-01,\n",
-       "        3.12377290e-01, 8.82561424e-01, 2.70855774e-01, 1.50600752e-01,\n",
-       "        2.96267911e-01, 2.48216215e-02, 4.95816501e-02, 7.63976330e-02,\n",
-       "        1.07130521e-01, 3.89252829e-02],\n",
-       "       [1.32081283e-01, 1.22018208e-01, 7.45194687e-01, 9.81470561e-02,\n",
-       "        7.38992069e-01, 2.88155350e-01, 2.03973782e-01, 2.53671852e-01,\n",
-       "        1.35660491e-01, 1.35578997e+00, 1.01354406e+00, 1.87230963e-01,\n",
-       "        6.02378672e-01, 1.98903123e-03, 3.20885510e-01, 8.22323082e-02,\n",
-       "        5.81413749e-01, 5.13356682e-02, 2.10612331e-01, 1.69052789e-01,\n",
-       "        3.11581913e-01, 8.64494890e-01, 2.66495047e-01, 1.44010252e-01,\n",
-       "        2.92472316e-01, 2.14347773e-02, 4.86992463e-02, 7.57429813e-02,\n",
-       "        1.02178905e-01, 3.93947474e-02],\n",
-       "       [4.24200939e-01, 2.45863128e-01, 2.42465392e+00, 9.56617673e-01,\n",
-       "        3.90604224e-01, 7.35189905e-01, 7.84701705e-01, 1.12643069e+00,\n",
-       "        6.11746968e-01, 2.38740416e+00, 8.24693229e-01, 8.30507723e-01,\n",
-       "        1.65251868e+00, 5.85569044e-02, 1.22381776e+00, 1.21646187e+00,\n",
-       "        1.40567132e+00, 3.44280544e-01, 1.08023414e+00, 2.40350307e-01,\n",
-       "        4.70005323e-01, 2.09081029e+00, 1.40341219e+00, 6.37238254e-01,\n",
-       "        3.37184579e-01, 2.14955312e+00, 1.63679869e-01, 6.62886813e-01,\n",
-       "        2.47469193e-01, 7.27577913e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.36 47.45 15.71 ... 53.68 25.75</div><input id='attrs-66004384-a783-4714-96b2-4abe0b9b874b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66004384-a783-4714-96b2-4abe0b9b874b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdc81e1f-1abf-47c7-8265-4b6376e03f18' class='xr-var-data-in' type='checkbox'><label for='data-cdc81e1f-1abf-47c7-8265-4b6376e03f18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-03-11 14:42:28] snd_mean_year: fa.SND_MEAN_YEAR(snd=snd) with options check_missing=skip - xclim version: 0.48.2</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[14.35830205, 47.44790804, 15.71350096, 43.45323714, 25.90669936,\n",
-       "        31.26085381, 29.30867008, 17.09767326, 24.71204082, 34.49773671,\n",
-       "        14.46472846, 12.78844991, 17.94698459, 27.29562966, 16.3752539 ,\n",
-       "        13.85337415, 38.91836041, 44.60262462, 22.04078034, 14.83959138,\n",
-       "        41.35896647, 14.67399834, 19.07510142, 24.69206264, 21.61194859,\n",
-       "        28.31279017, 17.61602628, 60.12402492, 27.49729907, 15.86073973],\n",
-       "       [14.09323764, 46.97264397, 15.35945032, 42.60606252, 25.32368733,\n",
-       "        30.95394366, 29.08968731, 16.64814114, 24.28842417, 33.55573031,\n",
-       "        13.64868256, 12.44284884, 17.63818669, 26.85498084, 16.05012534,\n",
-       "        13.33134045, 37.93279095, 44.1114058 , 21.36411657, 14.55040622,\n",
-       "        41.03019548, 14.32463839, 18.74948717, 24.37195024, 20.9663336 ,\n",
-       "        27.70367587, 17.44078268, 59.21508208, 26.83133653, 15.62159721],\n",
-       "       [29.75406142, 43.05102403, 22.16156289, 43.10196909, 49.18703107,\n",
-       "        31.11581364, 31.54322838, 30.06615788, 36.18345511, 42.57689677,\n",
-       "        28.69946958, 39.74549402, 28.84524   , 26.88577324, 18.11297123,\n",
-       "        50.59697129, 61.59489733, 25.20234371, 23.10739572, 18.60042104,\n",
-       "        43.94040622, 40.29050806, 29.74198306, 38.52664149, 48.38335705,\n",
-       "        45.88164783, 15.6945839 , 46.35936448, 53.67781098, 25.75077488]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4809ac1-fefe-4b1e-aa53-6a2b5860885a' class='xr-section-summary-in' type='checkbox'  ><label for='section-c4809ac1-fefe-4b1e-aa53-6a2b5860885a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0dc658f5-d13e-4623-b745-c0977e6e78d6' class='xr-index-data-in' type='checkbox'/><label for='index-0dc658f5-d13e-4623-b745-c0977e6e78d6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7758075-17c6-47ef-a33c-78d8586fba44' class='xr-index-data-in' type='checkbox'/><label for='index-c7758075-17c6-47ef-a33c-78d8586fba44' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01&#x27;, &#x27;1982-01-01&#x27;, &#x27;1983-01-01&#x27;, &#x27;1984-01-01&#x27;,\n",
-       "               &#x27;1985-01-01&#x27;, &#x27;1986-01-01&#x27;, &#x27;1987-01-01&#x27;, &#x27;1988-01-01&#x27;,\n",
-       "               &#x27;1989-01-01&#x27;, &#x27;1990-01-01&#x27;, &#x27;1991-01-01&#x27;, &#x27;1992-01-01&#x27;,\n",
-       "               &#x27;1993-01-01&#x27;, &#x27;1994-01-01&#x27;, &#x27;1995-01-01&#x27;, &#x27;1996-01-01&#x27;,\n",
-       "               &#x27;1997-01-01&#x27;, &#x27;1998-01-01&#x27;, &#x27;1999-01-01&#x27;, &#x27;2000-01-01&#x27;,\n",
-       "               &#x27;2001-01-01&#x27;, &#x27;2002-01-01&#x27;, &#x27;2003-01-01&#x27;, &#x27;2004-01-01&#x27;,\n",
-       "               &#x27;2005-01-01&#x27;, &#x27;2006-01-01&#x27;, &#x27;2007-01-01&#x27;, &#x27;2008-01-01&#x27;,\n",
-       "               &#x27;2009-01-01&#x27;, &#x27;2010-01-01&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;YS-JAN&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30371033-f65c-4404-bb64-5e8f966e4e03' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30371033-f65c-4404-bb64-5e8f966e4e03' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cat:variable :</span></dt><dd>(&#x27;tas_max_01&#x27;,)</dd><dt><span>cat:xrfreq :</span></dt><dd>YS-JAN</dd><dt><span>cat:frequency :</span></dt><dd>yr</dd><dt><span>cat:processing_level :</span></dt><dd>indicators</dd><dt><span>cat:id :</span></dt><dd></dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 54kB\n",
-       "Dimensions:               (Station: 3, time: 30)\n",
-       "Coordinates:\n",
-       "  * Station               (Station) object 24B '031501' '031502' '042103'\n",
-       "    source                <U20 80B 'era5_land_reanalysis'\n",
-       "  * time                  (time) datetime64[ns] 240B 1981-01-01 ... 2010-01-01\n",
-       "Data variables: (12/75)\n",
-       "    tas_max_01            (Station, time) float64 720B 5.1 3.616 ... 3.161\n",
-       "    tas_max_02            (Station, time) float64 720B 13.23 1.781 ... 3.544\n",
-       "    tas_max_03            (Station, time) float64 720B 11.61 10.72 ... 12.78\n",
-       "    tas_max_04            (Station, time) float64 720B 19.4 20.66 ... 25.98\n",
-       "    tas_max_05            (Station, time) float64 720B 24.39 28.17 ... 32.24\n",
-       "    tas_max_06            (Station, time) float64 720B 29.32 28.33 ... 25.42\n",
-       "    ...                    ...\n",
-       "    snd_mean_10           (Station, time) float64 720B 0.3611 ... 0.4031\n",
-       "    snd_mean_11           (Station, time) float64 720B 4.29 2.369 ... 7.307\n",
-       "    snd_mean_12           (Station, time) float64 720B 44.07 5.757 ... 52.67\n",
-       "    snd_mean_spring       (Station, time) float64 720B 6.949 92.08 ... 33.31\n",
-       "    snd_mean_summer_fall  (Station, time) float64 720B 0.1345 0.1227 ... 0.7276\n",
-       "    snd_mean_year         (Station, time) float64 720B 14.36 47.45 ... 25.75\n",
-       "Attributes:\n",
-       "    cat:variable:          ('tas_max_01',)\n",
-       "    cat:xrfreq:            YS-JAN\n",
-       "    cat:frequency:         yr\n",
-       "    cat:processing_level:  indicators\n",
-       "    cat:id:                "
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds_climatology = xr.merge(\n",
     "    [\n",
@@ -4138,659 +422,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "    <tr>\n",
-       "      <th>tas_max_spring</th>\n",
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-       "      <td>29.27054</td>\n",
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-       "      <th>tas_max_year</th>\n",
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-       "    <tr>\n",
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-       "      <td>10.543722</td>\n",
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-       "    <tr>\n",
-       "      <th>tas_mean_06</th>\n",
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-       "      <td>15.93364</td>\n",
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-       "    <tr>\n",
-       "      <th>tas_mean_07</th>\n",
-       "      <td>20.60195</td>\n",
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-       "      <td>18.610954</td>\n",
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-       "    <tr>\n",
-       "      <th>tas_mean_08</th>\n",
-       "      <td>19.556622</td>\n",
-       "      <td>19.560292</td>\n",
-       "      <td>17.645789</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_mean_09</th>\n",
-       "      <td>15.100446</td>\n",
-       "      <td>15.109986</td>\n",
-       "      <td>13.367451</td>\n",
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-       "    <tr>\n",
-       "      <th>tas_mean_10</th>\n",
-       "      <td>8.060541</td>\n",
-       "      <td>8.074052</td>\n",
-       "      <td>6.448969</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_mean_11</th>\n",
-       "      <td>1.330069</td>\n",
-       "      <td>1.348995</td>\n",
-       "      <td>-0.077759</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_mean_12</th>\n",
-       "      <td>-6.698234</td>\n",
-       "      <td>-6.672344</td>\n",
-       "      <td>-7.776868</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_mean_spring</th>\n",
-       "      <td>5.031998</td>\n",
-       "      <td>5.047103</td>\n",
-       "      <td>2.825004</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_mean_summer_fall</th>\n",
-       "      <td>14.466165</td>\n",
-       "      <td>14.474516</td>\n",
-       "      <td>12.628117</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_mean_year</th>\n",
-       "      <td>6.028106</td>\n",
-       "      <td>6.042794</td>\n",
-       "      <td>4.177412</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_01</th>\n",
-       "      <td>-28.778872</td>\n",
-       "      <td>-28.809396</td>\n",
-       "      <td>-30.041543</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_02</th>\n",
-       "      <td>-25.183904</td>\n",
-       "      <td>-25.231202</td>\n",
-       "      <td>-26.180241</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_03</th>\n",
-       "      <td>-20.468419</td>\n",
-       "      <td>-20.494124</td>\n",
-       "      <td>-22.264767</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_04</th>\n",
-       "      <td>-7.592577</td>\n",
-       "      <td>-7.580951</td>\n",
-       "      <td>-10.628039</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_05</th>\n",
-       "      <td>1.642597</td>\n",
-       "      <td>1.65338</td>\n",
-       "      <td>-1.659695</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_06</th>\n",
-       "      <td>8.113888</td>\n",
-       "      <td>8.126952</td>\n",
-       "      <td>4.091024</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_07</th>\n",
-       "      <td>12.12059</td>\n",
-       "      <td>12.114125</td>\n",
-       "      <td>9.005369</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_08</th>\n",
-       "      <td>10.297272</td>\n",
-       "      <td>10.30083</td>\n",
-       "      <td>8.655322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_09</th>\n",
-       "      <td>4.89994</td>\n",
-       "      <td>4.900005</td>\n",
-       "      <td>3.395228</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_10</th>\n",
-       "      <td>-1.616498</td>\n",
-       "      <td>-1.610984</td>\n",
-       "      <td>-2.296447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_11</th>\n",
-       "      <td>-11.544179</td>\n",
-       "      <td>-11.551885</td>\n",
-       "      <td>-9.818372</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_12</th>\n",
-       "      <td>-24.749929</td>\n",
-       "      <td>-24.769652</td>\n",
-       "      <td>-25.083827</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_spring</th>\n",
-       "      <td>-24.09364</td>\n",
-       "      <td>-24.113668</td>\n",
-       "      <td>-25.060736</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_summer_fall</th>\n",
-       "      <td>-6.582494</td>\n",
-       "      <td>-6.571843</td>\n",
-       "      <td>-7.22109</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tas_min_year</th>\n",
-       "      <td>-30.032823</td>\n",
-       "      <td>-30.080185</td>\n",
-       "      <td>-31.024786</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_01</th>\n",
-       "      <td>79.061732</td>\n",
-       "      <td>79.090602</td>\n",
-       "      <td>63.558415</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_02</th>\n",
-       "      <td>66.888931</td>\n",
-       "      <td>66.917058</td>\n",
-       "      <td>51.602254</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_03</th>\n",
-       "      <td>76.444733</td>\n",
-       "      <td>76.478452</td>\n",
-       "      <td>64.438532</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_04</th>\n",
-       "      <td>93.790183</td>\n",
-       "      <td>93.890757</td>\n",
-       "      <td>71.526317</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_05</th>\n",
-       "      <td>99.64739</td>\n",
-       "      <td>99.727621</td>\n",
-       "      <td>86.51231</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_06</th>\n",
-       "      <td>110.389847</td>\n",
-       "      <td>110.467514</td>\n",
-       "      <td>89.062977</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_07</th>\n",
-       "      <td>118.354004</td>\n",
-       "      <td>118.343317</td>\n",
-       "      <td>96.532123</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_08</th>\n",
-       "      <td>108.421897</td>\n",
-       "      <td>108.597886</td>\n",
-       "      <td>96.009423</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_09</th>\n",
-       "      <td>105.164435</td>\n",
-       "      <td>105.113248</td>\n",
-       "      <td>100.346083</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_10</th>\n",
-       "      <td>104.317676</td>\n",
-       "      <td>104.318942</td>\n",
-       "      <td>96.030414</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_11</th>\n",
-       "      <td>105.9594</td>\n",
-       "      <td>105.997777</td>\n",
-       "      <td>94.391328</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_12</th>\n",
-       "      <td>92.276419</td>\n",
-       "      <td>92.311662</td>\n",
-       "      <td>72.925842</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_spring</th>\n",
-       "      <td>376.994477</td>\n",
-       "      <td>377.308115</td>\n",
-       "      <td>310.340259</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_summer_fall</th>\n",
-       "      <td>552.196939</td>\n",
-       "      <td>552.293122</td>\n",
-       "      <td>488.178244</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>pr_sum_year</th>\n",
-       "      <td>1160.716646</td>\n",
-       "      <td>1161.254838</td>\n",
-       "      <td>982.936018</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_01</th>\n",
-       "      <td>67.3871</td>\n",
-       "      <td>66.592959</td>\n",
-       "      <td>79.101277</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_02</th>\n",
-       "      <td>95.084661</td>\n",
-       "      <td>93.688919</td>\n",
-       "      <td>113.425968</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_03</th>\n",
-       "      <td>95.804241</td>\n",
-       "      <td>93.601279</td>\n",
-       "      <td>130.332078</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_04</th>\n",
-       "      <td>20.813106</td>\n",
-       "      <td>19.620342</td>\n",
-       "      <td>59.455446</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_05</th>\n",
-       "      <td>0.02517</td>\n",
-       "      <td>0.021946</td>\n",
-       "      <td>0.88963</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_06</th>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>0.003253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_07</th>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_08</th>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_09</th>\n",
-       "      <td>0.000001</td>\n",
-       "      <td>0.000001</td>\n",
-       "      <td>0.001507</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_10</th>\n",
-       "      <td>0.218364</td>\n",
-       "      <td>0.213499</td>\n",
-       "      <td>0.825938</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_11</th>\n",
-       "      <td>4.655122</td>\n",
-       "      <td>4.610496</td>\n",
-       "      <td>8.643051</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_12</th>\n",
-       "      <td>30.770399</td>\n",
-       "      <td>30.495989</td>\n",
-       "      <td>39.301119</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_spring</th>\n",
-       "      <td>41.788584</td>\n",
-       "      <td>40.769412</td>\n",
-       "      <td>61.98516</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_summer_fall</th>\n",
-       "      <td>0.319896</td>\n",
-       "      <td>0.315362</td>\n",
-       "      <td>0.928477</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>snd_mean_year</th>\n",
-       "      <td>25.923512</td>\n",
-       "      <td>25.435699</td>\n",
-       "      <td>35.612642</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Station                             031501                031502  \\\n",
-       "source                era5_land_reanalysis  era5_land_reanalysis   \n",
-       "tas_max_01                         5.79328               5.83979   \n",
-       "tas_max_02                        5.709544               5.74949   \n",
-       "tas_max_03                       12.451726             12.531728   \n",
-       "tas_max_04                       21.224634             21.254693   \n",
-       "tas_max_05                       26.618743              26.62262   \n",
-       "tas_max_06                       29.915254             29.914234   \n",
-       "tas_max_07                       30.538177             30.541674   \n",
-       "tas_max_08                       29.401676             29.396607   \n",
-       "tas_max_09                       26.409743             26.420074   \n",
-       "tas_max_10                       20.433635             20.457859   \n",
-       "tas_max_11                       14.840299             14.884756   \n",
-       "tas_max_12                        7.110035              7.155206   \n",
-       "tas_max_spring                    29.27284              29.27054   \n",
-       "tas_max_summer_fall              31.171837             31.172982   \n",
-       "tas_max_year                     31.373761             31.372966   \n",
-       "tas_mean_01                     -11.098958            -11.070966   \n",
-       "tas_mean_02                      -8.575376             -8.555364   \n",
-       "tas_mean_03                      -3.011887             -2.994205   \n",
-       "tas_mean_04                       5.168779              5.193515   \n",
-       "tas_mean_05                      12.849464             12.856895   \n",
-       "tas_mean_06                      18.246934             18.250927   \n",
-       "tas_mean_07                       20.60195             20.605273   \n",
-       "tas_mean_08                      19.556622             19.560292   \n",
-       "tas_mean_09                      15.100446             15.109986   \n",
-       "tas_mean_10                       8.060541              8.074052   \n",
-       "tas_mean_11                       1.330069              1.348995   \n",
-       "tas_mean_12                      -6.698234             -6.672344   \n",
-       "tas_mean_spring                   5.031998              5.047103   \n",
-       "tas_mean_summer_fall             14.466165             14.474516   \n",
-       "tas_mean_year                     6.028106              6.042794   \n",
-       "tas_min_01                      -28.778872            -28.809396   \n",
-       "tas_min_02                      -25.183904            -25.231202   \n",
-       "tas_min_03                      -20.468419            -20.494124   \n",
-       "tas_min_04                       -7.592577             -7.580951   \n",
-       "tas_min_05                        1.642597               1.65338   \n",
-       "tas_min_06                        8.113888              8.126952   \n",
-       "tas_min_07                        12.12059             12.114125   \n",
-       "tas_min_08                       10.297272              10.30083   \n",
-       "tas_min_09                         4.89994              4.900005   \n",
-       "tas_min_10                       -1.616498             -1.610984   \n",
-       "tas_min_11                      -11.544179            -11.551885   \n",
-       "tas_min_12                      -24.749929            -24.769652   \n",
-       "tas_min_spring                   -24.09364            -24.113668   \n",
-       "tas_min_summer_fall              -6.582494             -6.571843   \n",
-       "tas_min_year                    -30.032823            -30.080185   \n",
-       "pr_sum_01                        79.061732             79.090602   \n",
-       "pr_sum_02                        66.888931             66.917058   \n",
-       "pr_sum_03                        76.444733             76.478452   \n",
-       "pr_sum_04                        93.790183             93.890757   \n",
-       "pr_sum_05                         99.64739             99.727621   \n",
-       "pr_sum_06                       110.389847            110.467514   \n",
-       "pr_sum_07                       118.354004            118.343317   \n",
-       "pr_sum_08                       108.421897            108.597886   \n",
-       "pr_sum_09                       105.164435            105.113248   \n",
-       "pr_sum_10                       104.317676            104.318942   \n",
-       "pr_sum_11                         105.9594            105.997777   \n",
-       "pr_sum_12                        92.276419             92.311662   \n",
-       "pr_sum_spring                   376.994477            377.308115   \n",
-       "pr_sum_summer_fall              552.196939            552.293122   \n",
-       "pr_sum_year                    1160.716646           1161.254838   \n",
-       "snd_mean_01                        67.3871             66.592959   \n",
-       "snd_mean_02                      95.084661             93.688919   \n",
-       "snd_mean_03                      95.804241             93.601279   \n",
-       "snd_mean_04                      20.813106             19.620342   \n",
-       "snd_mean_05                        0.02517              0.021946   \n",
-       "snd_mean_06                           -0.0                  -0.0   \n",
-       "snd_mean_07                           -0.0                  -0.0   \n",
-       "snd_mean_08                           -0.0                  -0.0   \n",
-       "snd_mean_09                       0.000001              0.000001   \n",
-       "snd_mean_10                       0.218364              0.213499   \n",
-       "snd_mean_11                       4.655122              4.610496   \n",
-       "snd_mean_12                      30.770399             30.495989   \n",
-       "snd_mean_spring                  41.788584             40.769412   \n",
-       "snd_mean_summer_fall              0.319896              0.315362   \n",
-       "snd_mean_year                    25.923512             25.435699   \n",
-       "\n",
-       "Station                             042103  \n",
-       "source                era5_land_reanalysis  \n",
-       "tas_max_01                        3.640586  \n",
-       "tas_max_02                        4.044133  \n",
-       "tas_max_03                       10.525447  \n",
-       "tas_max_04                       19.973493  \n",
-       "tas_max_05                       25.819365  \n",
-       "tas_max_06                       28.824476  \n",
-       "tas_max_07                       29.448428  \n",
-       "tas_max_08                       28.537646  \n",
-       "tas_max_09                       25.724547  \n",
-       "tas_max_10                       19.723571  \n",
-       "tas_max_11                       11.896061  \n",
-       "tas_max_12                        5.333868  \n",
-       "tas_max_spring                   28.397473  \n",
-       "tas_max_summer_fall              30.377644  \n",
-       "tas_max_year                     30.683164  \n",
-       "tas_mean_01                     -12.603846  \n",
-       "tas_mean_02                     -10.618004  \n",
-       "tas_mean_03                      -5.155519  \n",
-       "tas_mean_04                       2.977892  \n",
-       "tas_mean_05                      10.543722  \n",
-       "tas_mean_06                       15.93364  \n",
-       "tas_mean_07                      18.610954  \n",
-       "tas_mean_08                      17.645789  \n",
-       "tas_mean_09                      13.367451  \n",
-       "tas_mean_10                       6.448969  \n",
-       "tas_mean_11                      -0.077759  \n",
-       "tas_mean_12                      -7.776868  \n",
-       "tas_mean_spring                   2.825004  \n",
-       "tas_mean_summer_fall             12.628117  \n",
-       "tas_mean_year                     4.177412  \n",
-       "tas_min_01                      -30.041543  \n",
-       "tas_min_02                      -26.180241  \n",
-       "tas_min_03                      -22.264767  \n",
-       "tas_min_04                      -10.628039  \n",
-       "tas_min_05                       -1.659695  \n",
-       "tas_min_06                        4.091024  \n",
-       "tas_min_07                        9.005369  \n",
-       "tas_min_08                        8.655322  \n",
-       "tas_min_09                        3.395228  \n",
-       "tas_min_10                       -2.296447  \n",
-       "tas_min_11                       -9.818372  \n",
-       "tas_min_12                      -25.083827  \n",
-       "tas_min_spring                  -25.060736  \n",
-       "tas_min_summer_fall               -7.22109  \n",
-       "tas_min_year                    -31.024786  \n",
-       "pr_sum_01                        63.558415  \n",
-       "pr_sum_02                        51.602254  \n",
-       "pr_sum_03                        64.438532  \n",
-       "pr_sum_04                        71.526317  \n",
-       "pr_sum_05                         86.51231  \n",
-       "pr_sum_06                        89.062977  \n",
-       "pr_sum_07                        96.532123  \n",
-       "pr_sum_08                        96.009423  \n",
-       "pr_sum_09                       100.346083  \n",
-       "pr_sum_10                        96.030414  \n",
-       "pr_sum_11                        94.391328  \n",
-       "pr_sum_12                        72.925842  \n",
-       "pr_sum_spring                   310.340259  \n",
-       "pr_sum_summer_fall              488.178244  \n",
-       "pr_sum_year                     982.936018  \n",
-       "snd_mean_01                      79.101277  \n",
-       "snd_mean_02                     113.425968  \n",
-       "snd_mean_03                     130.332078  \n",
-       "snd_mean_04                      59.455446  \n",
-       "snd_mean_05                        0.88963  \n",
-       "snd_mean_06                       0.003253  \n",
-       "snd_mean_07                           -0.0  \n",
-       "snd_mean_08                           -0.0  \n",
-       "snd_mean_09                       0.001507  \n",
-       "snd_mean_10                       0.825938  \n",
-       "snd_mean_11                       8.643051  \n",
-       "snd_mean_12                      39.301119  \n",
-       "snd_mean_spring                   61.98516  \n",
-       "snd_mean_summer_fall              0.928477  \n",
-       "snd_mean_year                    35.612642  "
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pd.set_option(\"display.max_rows\", 100)\n",
     "ds_climatology.mean(\"time\").to_dataframe().T"
diff --git a/tests/test_gis.py b/tests/test_gis.py
index 68485e13..bbe76061 100644
--- a/tests/test_gis.py
+++ b/tests/test_gis.py
@@ -181,20 +181,20 @@ def test_surface_properties_xarray(self, surface_properties_data):
     @pytest.fixture
     def land_classification_data_latest(self):
         data = {
-            "pct_crops": {"031501": 0.7761508991718495, "042103": 0.0},
             "pct_built_area": {
-                "031501": 0.030159065706857738,
-                "042103": 0.00010067694852579148,
+                "031501": 0.015321084992280073,
+                "042103": 1.291553583975092e-05,
             },
-            "pct_trees": {"031501": 0.1916484013692483, "042103": 0.8636022653195444},
+            "pct_crops": {"031501": 0.7241017020382433, "042103": 0.0},
+            "pct_trees": {"031501": 0.25554784070456893, "042103": 0.8904406091999945},
             "pct_rangeland": {
-                "031501": 0.002041633752044415,
-                "042103": 0.026126172157203968,
+                "031501": 0.005029372264907681,
+                "042103": 0.02405165525507322,
             },
-            "pct_water": {"031501": 0.0, "042103": 0.10998710919246692},
-            "pct_bare_ground": {"031501": 0.0, "042103": 2.142062734591308e-05},
-            "pct_flooded_vegetation": {"031501": 0.0, "042103": 0.00016197774384218392},
-            "pct_snow/ice": {"031501": 0.0, "042103": 3.780110708102308e-07},
+            "pct_water": {"031501": 0.0, "042103": 0.08536996982930828},
+            "pct_snow/ice": {"031501": 0.0, "042103": 3.444142890600245e-07},
+            "pct_bare_ground": {"031501": 0.0, "042103": 1.1193464394450798e-05},
+            "pct_flooded_vegetation": {"031501": 0.0, "042103": 0.00011331230110074807},
         }
 
         df = pd.DataFrame.from_dict(data)
@@ -204,19 +204,19 @@ def land_classification_data_latest(self):
     @pytest.fixture
     def land_classification_data_2018(self):
         data = {
-            "pct_crops": {"031501": 0.7746247733063341, "042103": 0.0},
             "pct_built_area": {
-                "031501": 0.028853606886295277,
-                "042103": 0.0001139703378492846,
+                "031501": 0.0157641813680258,
+                "042103": 3.857440037472275e-05,
             },
-            "pct_trees": {"031501": 0.19468025530620797, "042103": 0.8850292558518161},
+            "pct_crops": {"031501": 0.7236266296353819, "042103": 0.0},
+            "pct_trees": {"031501": 0.2563609453940817, "042103": 0.9106845922823646},
             "pct_rangeland": {
-                "031501": 0.0018413645011626744,
-                "042103": 0.005653344569502407,
+                "031501": 0.004248243602510575,
+                "042103": 0.004328943199195448,
             },
-            "pct_water": {"031501": 0.0, "042103": 0.10902236193791408},
-            "pct_bare_ground": {"031501": 0.0, "042103": 1.8900553540511542e-05},
-            "pct_flooded_vegetation": {"031501": 0.0, "042103": 0.00016216674937758903},
+            "pct_water": {"031501": 0.0, "042103": 0.08475932329480486},
+            "pct_flooded_vegetation": {"031501": 0.0, "042103": 0.0001883946161158334},
+            "pct_bare_ground": {"031501": 0.0, "042103": 1.7220714453001225e-07},
         }
 
         df = pd.DataFrame.from_dict(data)

From ff605f517eeec6aea4477a82a9c94f678af0fc1f Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 23:20:41 -0400
Subject: [PATCH 10/14] keep gis notebook outputs

---
 docs/notebooks/gis.ipynb | 4428 +++++++++++++++++++++++++++++++++++++-
 1 file changed, 4397 insertions(+), 31 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index 10f2a12f..8b41c65d 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,9 +47,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ae8f2bc0342c4ad1a4c7647294560113",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Map(center=[48.63, -74.71], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_…"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "m = leafmap.Map(center=(48.63, -74.71), zoom=5, basemap=\"USGS Hydrography\")\n",
     "m"
@@ -65,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -95,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,9 +133,83 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>HYBAS_ID</th>\n",
+       "      <th>Upstream Area (sq. km).</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>category</th>\n",
+       "      <th>color</th>\n",
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+       "      <td>3</td>\n",
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+       "      <td>5</td>\n",
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+       "      <td>POLYGON ((-73.77437 43.36757, -73.77557 43.388...</td>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     HYBAS_ID  Upstream Area (sq. km).  \\\n",
+       "0  7120034330                  87595.8   \n",
+       "1  7120398781                 144026.8   \n",
+       "2  7120382860                  23717.7   \n",
+       "\n",
+       "                                            geometry  category    color  \n",
+       "0  POLYGON ((-74.37864 48.88141, -74.37452 48.886...         3  #41b6c4  \n",
+       "1  POLYGON ((-80.07991 46.77860, -80.08529 46.782...         5  #081d58  \n",
+       "2  POLYGON ((-73.77437 43.36757, -73.77557 43.388...         1  #ffffd9  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "gdf = xhgis.watershed_delineation(coordinates=lng_lat, map=m)\n",
     "gdf"
@@ -134,7 +224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,9 +248,70 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Superficie</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>031501</td>\n",
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+       "      <td>POLYGON ((-72.47379 46.23340, -72.46888 46.228...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>031502</td>\n",
+       "      <td>15.708960</td>\n",
+       "      <td>POLYGON ((-72.50127 46.21216, -72.50086 46.213...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>042103</td>\n",
+       "      <td>579.479614</td>\n",
+       "      <td>POLYGON ((-78.49014 46.64514, -78.49010 46.645...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Station  Superficie                                           geometry\n",
+       "0  031501   21.868620  POLYGON ((-72.47379 46.23340, -72.46888 46.228...\n",
+       "1  031502   15.708960  POLYGON ((-72.50127 46.21216, -72.50086 46.213...\n",
+       "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "gdf = xd.Query(\n",
     "    **{\n",
@@ -200,9 +351,87 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Superficie</th>\n",
+       "      <th>area</th>\n",
+       "      <th>perimeter</th>\n",
+       "      <th>gravelius</th>\n",
+       "      <th>centroid</th>\n",
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+       "      <td>27186.996845</td>\n",
+       "      <td>1.640007</td>\n",
+       "      <td>(-72.48631199105834, 46.22277542928622)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>031502</td>\n",
+       "      <td>15.708960</td>\n",
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+      "text/plain": [
+       "  Station  Superficie          area      perimeter  gravelius  \\\n",
+       "0  031501   21.868620  2.186862e+07   27186.996845   1.640007   \n",
+       "1  031502   15.708960  1.570896e+07   20263.293021   1.442220   \n",
+       "2  042103  579.479614  5.794796e+08  283765.058390   3.325331   \n",
+       "\n",
+       "                                  centroid  \n",
+       "0  (-72.48631199105834, 46.22277542928622)  \n",
+       "1  (-72.47966677792694, 46.21359517038631)  \n",
+       "2  (-78.37036445281987, 46.48287117609677)  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "xhgis.watershed_properties(gdf)"
    ]
@@ -216,9 +445,404 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
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+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 120B\n",
+       "Dimensions:    (Station: 3)\n",
+       "Coordinates:\n",
+       "  * Station    (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
+       "Data variables:\n",
+       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
+       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
+       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-389c7801-c09d-4923-a558-5a345a29072b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-389c7801-c09d-4923-a558-5a345a29072b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-860f5f5d-20b3-4e19-bfde-f950f0c2f7e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-860f5f5d-20b3-4e19-bfde-f950f0c2f7e2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-85515a29-d293-4ee5-8b04-7f7dc2fee27a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85515a29-d293-4ee5-8b04-7f7dc2fee27a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b3162a-4600-4465-968c-9b240f805415' class='xr-var-data-in' type='checkbox'><label for='data-f3b3162a-4600-4465-968c-9b240f805415' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-94f7ed52-133e-411b-82b0-1e6af2aacd3a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94f7ed52-133e-411b-82b0-1e6af2aacd3a' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-14594540-f8db-4dd3-9306-e98472bdb2bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14594540-f8db-4dd3-9306-e98472bdb2bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e88e22ac-6b61-4fa4-abd3-8a726636aeb9' class='xr-var-data-in' type='checkbox'><label for='data-e88e22ac-6b61-4fa4-abd3-8a726636aeb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-54fa5991-4c2c-4f9e-b1a8-bf149637f8d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54fa5991-4c2c-4f9e-b1a8-bf149637f8d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-089abb34-eaa4-4235-9379-c8854ffc6489' class='xr-var-data-in' type='checkbox'><label for='data-089abb34-eaa4-4235-9379-c8854ffc6489' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-9e049a9c-7db5-4935-b14d-d8c63c0f6168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e049a9c-7db5-4935-b14d-d8c63c0f6168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f13f11f-7622-4311-a324-2f799f424473' class='xr-var-data-in' type='checkbox'><label for='data-8f13f11f-7622-4311-a324-2f799f424473' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-035dcc72-c820-4186-a14e-87834df3888a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-035dcc72-c820-4186-a14e-87834df3888a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c65539-a1da-4c45-8653-9ea9b243de82' class='xr-var-data-in' type='checkbox'><label for='data-d6c65539-a1da-4c45-8653-9ea9b243de82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
+       "       (-72.47966677792694, 46.21359517038631),\n",
+       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f57cd516-d93c-4806-a571-62d8d925109b' class='xr-section-summary-in' type='checkbox'  ><label for='section-f57cd516-d93c-4806-a571-62d8d925109b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eccf5091-9400-41ba-b5d1-e79d6d1d8bd7' class='xr-index-data-in' type='checkbox'/><label for='index-eccf5091-9400-41ba-b5d1-e79d6d1d8bd7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ee13ac0-0a8e-45b6-9b0a-a73ed1e71f14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ee13ac0-0a8e-45b6-9b0a-a73ed1e71f14' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 120B\n",
+       "Dimensions:    (Station: 3)\n",
+       "Coordinates:\n",
+       "  * Station    (Station) object 24B '031501' '031502' '042103'\n",
+       "Data variables:\n",
+       "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
+       "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
+       "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ...."
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "xhgis.watershed_properties(\n",
     "    gdf[[\"Station\", \"geometry\"]], unique_id=\"Station\", output_format=\"xarray\"\n",
@@ -227,18 +851,552 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>slope</th>\n",
+       "      <th>aspect</th>\n",
+       "      <th>time</th>\n",
+       "      <th>platform</th>\n",
+       "      <th>gsd</th>\n",
+       "      <th>proj:shape</th>\n",
+       "      <th>band</th>\n",
+       "      <th>epsg</th>\n",
+       "      <th>proj:epsg</th>\n",
+       "      <th>spatial_ref</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>geometry</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>33.573009</td>\n",
+       "      <td>0.324613</td>\n",
+       "      <td>239.025970</td>\n",
+       "      <td>2021-04-22</td>\n",
+       "      <td>TanDEM-X</td>\n",
+       "      <td>90</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>data</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>51.393295</td>\n",
+       "      <td>0.518484</td>\n",
+       "      <td>242.431335</td>\n",
+       "      <td>2021-04-22</td>\n",
+       "      <td>TanDEM-X</td>\n",
+       "      <td>90</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>data</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>358.549866</td>\n",
+       "      <td>2.500644</td>\n",
+       "      <td>178.557648</td>\n",
+       "      <td>2021-04-22</td>\n",
+       "      <td>TanDEM-X</td>\n",
+       "      <td>90</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>data</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>4326</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           elevation     slope      aspect       time  platform  gsd  \\\n",
+       "geometry                                                               \n",
+       "0          33.573009  0.324613  239.025970 2021-04-22  TanDEM-X   90   \n",
+       "1          51.393295  0.518484  242.431335 2021-04-22  TanDEM-X   90   \n",
+       "2         358.549866  2.500644  178.557648 2021-04-22  TanDEM-X   90   \n",
+       "\n",
+       "         proj:shape  band  epsg  proj:epsg  spatial_ref  \n",
+       "geometry                                                 \n",
+       "0            {1200}  data  4326       4326            0  \n",
+       "1            {1200}  data  4326       4326            0  \n",
+       "2            {1200}  data  4326       4326            0  "
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "xhgis.surface_properties(gdf)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 180B\n",
+       "Dimensions:      (Station: 3)\n",
+       "Coordinates:\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
+       "    platform     &lt;U8 32B &#x27;TanDEM-X&#x27;\n",
+       "    gsd          int64 8B 90\n",
+       "    proj:shape   object 8B {1200}\n",
+       "    band         &lt;U4 16B &#x27;data&#x27;\n",
+       "    epsg         int64 8B 4326\n",
+       "    proj:epsg    int64 8B 4326\n",
+       "    spatial_ref  int64 8B 0\n",
+       "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
+       "  * Station      (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
+       "Data variables:\n",
+       "    elevation    (Station) float32 12B 33.57 51.39 358.5\n",
+       "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
+       "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
+       "Attributes:\n",
+       "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
+       "    resolution:  0.0008333333333333334\n",
+       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2e404105-8edb-49be-8f09-206e4c618e3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e404105-8edb-49be-8f09-206e4c618e3c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7c7105df-25f0-4717-91cd-0f677a0b7c63' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c7105df-25f0-4717-91cd-0f677a0b7c63' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-f41ec4e5-ae88-4389-8dbe-47d50612e3bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f41ec4e5-ae88-4389-8dbe-47d50612e3bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16ec2a42-b47c-4fab-9a61-ef9bae9c879c' class='xr-var-data-in' type='checkbox'><label for='data-16ec2a42-b47c-4fab-9a61-ef9bae9c879c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-fe1b6b4f-aa9d-4887-bac6-cdf8ffedd1a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe1b6b4f-aa9d-4887-bac6-cdf8ffedd1a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89e69819-d73c-4d29-adbf-1e72f736a709' class='xr-var-data-in' type='checkbox'><label for='data-89e69819-d73c-4d29-adbf-1e72f736a709' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-be794f65-e218-47a9-a640-adc035eb8565' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be794f65-e218-47a9-a640-adc035eb8565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9351c094-727b-446c-831c-edd73e259ce9' class='xr-var-data-in' type='checkbox'><label for='data-9351c094-727b-446c-831c-edd73e259ce9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-0c0671c0-babb-4183-93f8-f91ce0cc47a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c0671c0-babb-4183-93f8-f91ce0cc47a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76a4ee2d-e877-4126-a0be-9e17a5729983' class='xr-var-data-in' type='checkbox'><label for='data-76a4ee2d-e877-4126-a0be-9e17a5729983' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-fcd74821-7cf0-449e-bbec-b79dad78d43b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcd74821-7cf0-449e-bbec-b79dad78d43b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebafba48-1b3e-4b5a-9995-95c801ef9b88' class='xr-var-data-in' type='checkbox'><label for='data-ebafba48-1b3e-4b5a-9995-95c801ef9b88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-73a65bed-1d93-4be9-99d2-62a74327c985' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73a65bed-1d93-4be9-99d2-62a74327c985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66d754c4-990f-4c4e-aa39-19c6f676c035' class='xr-var-data-in' type='checkbox'><label for='data-66d754c4-990f-4c4e-aa39-19c6f676c035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-e05dc632-bf16-4b5e-b21b-5cc24764905f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e05dc632-bf16-4b5e-b21b-5cc24764905f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99f60394-1520-453c-bd75-f5233547081f' class='xr-var-data-in' type='checkbox'><label for='data-99f60394-1520-453c-bd75-f5233547081f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1bb9a911-ad20-46a7-a73f-eb3063bae338' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bb9a911-ad20-46a7-a73f-eb3063bae338' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9226f475-f423-41b5-85de-c1ac54ce6354' class='xr-var-data-in' type='checkbox'><label for='data-9226f475-f423-41b5-85de-c1ac54ce6354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-660a0242-e056-471c-b653-84d844269011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-660a0242-e056-471c-b653-84d844269011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a8655e4-4680-4081-93d1-cec71aa8f467' class='xr-var-data-in' type='checkbox'><label for='data-4a8655e4-4680-4081-93d1-cec71aa8f467' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
+       "       &lt;POLYGON ((-308472.061 254960.004, -308435.028 255062.648, -308413.285 25520...&gt;,\n",
+       "       &lt;POLYGON ((-761385.594 347655.489, -761383.379 347649.173, -761390.035 34763...&gt;],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-a0ce7403-4e01-448e-b41d-3549848995aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0ce7403-4e01-448e-b41d-3549848995aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a6cd11-ef0d-4965-a4f6-51f76b82f3a9' class='xr-var-data-in' type='checkbox'><label for='data-30a6cd11-ef0d-4965-a4f6-51f76b82f3a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae7f9846-fb47-46e5-913e-d3e6e8c01d48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae7f9846-fb47-46e5-913e-d3e6e8c01d48' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-6db75c7c-5823-4f4a-a4f5-e8551a5c4314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db75c7c-5823-4f4a-a4f5-e8551a5c4314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e4c791-29e8-43ee-84ef-57ef77c6d43e' class='xr-var-data-in' type='checkbox'><label for='data-57e4c791-29e8-43ee-84ef-57ef77c6d43e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301 ,  51.393295, 358.54987 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-855a3187-2cb9-4489-ada7-4ca78a75e458' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-855a3187-2cb9-4489-ada7-4ca78a75e458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf2a8402-0db8-4c0f-a59e-1dd8fb642838' class='xr-var-data-in' type='checkbox'><label for='data-cf2a8402-0db8-4c0f-a59e-1dd8fb642838' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-07b7035f-75e9-4315-92ed-e6a422e5b586' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07b7035f-75e9-4315-92ed-e6a422e5b586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10402e99-056f-4e70-bfb6-2f59832f8894' class='xr-var-data-in' type='checkbox'><label for='data-10402e99-056f-4e70-bfb6-2f59832f8894' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c6d75be-c823-4e48-9f39-55444706fc4c' class='xr-section-summary-in' type='checkbox'  ><label for='section-3c6d75be-c823-4e48-9f39-55444706fc4c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94303ccc-f83d-4f5f-9046-7b6c756bd6ae' class='xr-index-data-in' type='checkbox'/><label for='index-94303ccc-f83d-4f5f-9046-7b6c756bd6ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-412d70a8-0e61-4c9d-9d10-f3e497821681' class='xr-section-summary-in' type='checkbox'  checked><label for='section-412d70a8-0e61-4c9d-9d10-f3e497821681' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 180B\n",
+       "Dimensions:      (Station: 3)\n",
+       "Coordinates:\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
+       "    platform     <U8 32B 'TanDEM-X'\n",
+       "    gsd          int64 8B 90\n",
+       "    proj:shape   object 8B {1200}\n",
+       "    band         <U4 16B 'data'\n",
+       "    epsg         int64 8B 4326\n",
+       "    proj:epsg    int64 8B 4326\n",
+       "    spatial_ref  int64 8B 0\n",
+       "    geometry     (Station) object 24B POLYGON ((-306224.9316606918 257197.438...\n",
+       "  * Station      (Station) object 24B '031501' '031502' '042103'\n",
+       "Data variables:\n",
+       "    elevation    (Station) float32 12B 33.57 51.39 358.5\n",
+       "    slope        (Station) float32 12B 0.3246 0.5185 2.501\n",
+       "    aspect       (Station) float32 12B 239.0 242.4 178.6\n",
+       "Attributes:\n",
+       "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
+       "    resolution:  0.0008333333333333334\n",
+       "    _FillValue:  1.7976931348623157e+308"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "xhgis.surface_properties(\n",
     "    gdf[[\"Station\", \"geometry\"]], output_format=\"xarray\", unique_id=\"Station\"\n",
@@ -255,9 +1413,122 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5a72db387eec4cd1b75aeb52e5adf534",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pct_built_area</th>\n",
+       "      <th>pct_crops</th>\n",
+       "      <th>pct_trees</th>\n",
+       "      <th>pct_rangeland</th>\n",
+       "      <th>pct_water</th>\n",
+       "      <th>pct_snow/ice</th>\n",
+       "      <th>pct_bare_ground</th>\n",
+       "      <th>pct_flooded_vegetation</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>031501</th>\n",
+       "      <td>0.015321</td>\n",
+       "      <td>0.724102</td>\n",
+       "      <td>0.255548</td>\n",
+       "      <td>0.005029</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>031502</th>\n",
+       "      <td>0.009526</td>\n",
+       "      <td>0.670792</td>\n",
+       "      <td>0.312680</td>\n",
+       "      <td>0.007002</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>042103</th>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.890441</td>\n",
+       "      <td>0.024052</td>\n",
+       "      <td>0.08537</td>\n",
+       "      <td>3.444143e-07</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000113</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         pct_built_area  pct_crops  pct_trees  pct_rangeland  pct_water  \\\n",
+       "Station                                                                   \n",
+       "031501         0.015321   0.724102   0.255548       0.005029    0.00000   \n",
+       "031502         0.009526   0.670792   0.312680       0.007002    0.00000   \n",
+       "042103         0.000013   0.000000   0.890441       0.024052    0.08537   \n",
+       "\n",
+       "         pct_snow/ice  pct_bare_ground  pct_flooded_vegetation  \n",
+       "Station                                                         \n",
+       "031501   0.000000e+00         0.000000                0.000000  \n",
+       "031502   0.000000e+00         0.000000                0.000000  \n",
+       "042103   3.444143e-07         0.000011                0.000113  "
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df = xhgis.land_use_classification(gdf, unique_id=\"Station\")\n",
     "df"
@@ -265,9 +1536,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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scYZik5N75xb53fiMxrZLY//jypUQ4hEhBGn9QQptCgDfi627RHmyWB/7PCTF4WH0OoZ7ja1rMoOkLMlzIM0a7XVXNYZhmNSgLykHuyA5op6jFIJiI+p/gBRm0zVCiF0AXoYkoPyKiOJtTERfgk1nZCFEBySb1zJII//yubIB3AWNEV8iuiQ2QqlePwfAEEgjwMdjq/8OyWToapISg2Wrjskhok/F/DWs1PUuSCYbfyKihFkNIiojC0nQIDm0lhJRgtkFEd0KybQh6bpidVTXvT+AU2KLVbF1ZxPRR5T3JbZ+NIApkIQAyw7DVok5XP4FkvPvI0SU8LwR0XBFpBvAZhvEkGcBJtmoVzOAhyD1BfcqFVoimggpNC0gzbKkCrJD9FdIYftCRAuhH2HHrO3uhKRE3UVESVGiYs/2EpKSg4GIyklKOleg2i8XvfdPadpi+955wFJICutXlf1FrH/8QWzbMreFxNpgJSQF/W8ArvNR0bR9TbH7NlOj3iMgzfj0gxS4wMjskmEYJm1IG7MiInrHYPNdQoiniOhPAK4DsIGIXoH0sV8IyZ74EUihJr3ga5BmEG4AcB4RyUnQToGkiHzV5vl+CmnU7e6YsFgNKcpMAaQESmqb7UUAbiaig5DiejdAcjw9A5IQ+CMhRCcgjZoT0Sdj5/9V7LiNsWNGQTIfKIVkqqEVxUnNHZBG2i4BsJOIXkdvErS5kMx8zMKZ/hLAYwCeJCmT7AFIiaMmQ1I+1KOOowE8A6CeiNZAap9SSPe2GMA/FU7Js2LnOEpEawEcg2QucCakaEB3+xhV5ubYNXwEQGWsbZog2WvPhRQZRY6IYrcNAMn5/P8A3ElE56HXHOI7JpFlvgdgAaTZsz1EtBq9SdDyIMWgf9bg+KixDNK7vATAotjzPALS838ngG9pHPMOJJ+bz5CUMXkPpMGEh4QQbwkhdhLR5yHdk3/H7NC3QlKERwOYCmnW6XFI/UoZpBHye2PP5AFIbXoapOftPUgO5zJO751jhBDbSXLO/x2A14noRUgzGOdDUmK/ETNNdMsvID1f3QC6IA0caNXnauVyTFm+T7FKjn71LBF1xn4/KKQQ0W6u6TJI92kLpIGSTkh93zxITvWbISX2YxiG6RuICCRbcPOH3qRiRn+3xPbNhOSouBnSB7wa0sd+NPQTV1VCJ8kaehNqPaKxbSwkQbgOkr32OwAuNjrG5DovhCRQtEESaJ+CJFQm1RtSkqLfxvaviR1TCSkM4yKd8/cH8GNIoT6bYnXeFTvmaiiSY1moawaAL0HKAFwfa+s9sbZWJiSrgE6CN0ghKN+GpKQch2SrfJZW+0GyYf4BpBmb/ZAcTqtj5X8RQJZi3/GQcje8AWm0th2S4PYCgEs06rEKHiVBi23LheQk+76inbdD8gOZ5rQNFMdcCclUqAW9z39FbNvV0En0BUlw/T9I70ZbrMzXAVyhc48r4eC98OH916wHpFmgf0N6/pshKV3XKfqMSo1j5seegxOQFAOt/mACJAV/d6ydTgDYAmn25ULEkghCGm3+JiQzl72Q3oGjkN7JG6GRVMvo3vnchhdBcnxvjP29DsnXxc455Gc+KQma4l0x/DN4joz+kp5lu9cUu29/ij37dZCUg1pI7/6NUCVW5D/+4z/+S/c/+UPGMAzDMAzDMEwfpy/5HDAMwzAMwzAMYwArBwzDMAzDMAzDAGDlgGEYhmEYhmGYGKwcMAzDMAzDMAwDgJUDhmEYhmEYhmFisHLAMAzDMAzDMAwAVg4YhmEYhmEYhonhKEMyEZUDGOhxXRiGYRiGsUatEKIq7Er4TUjyRp9oW4bRw3YSNCIqz8jO3NfT2e1TlRiGYRiGMaEFwJR0FmKJqDy3oGBfe0tL0EWnfdsyjBFOZg4G9nR244b7H8OICVPiKx9/8kbvasWkJFdefk/Sur72XOQO/Z7utvbqXwZYE8boXsjwPQmWW17aCQC4+yMTQq5JatNa24RdKzYWQBpRT2cBdmB7S0uSvOEnB3duxe+/9vm+0LYMo4sjsyIAWL32PvzgM2/Gl4tWl3hSIcY5eeX3oa1qSWjl/3v1D3HzTSvjy0uXLUbRsL71XOSVT9fdlk3JbaFuL8Y7jO4FALRVLUF2H3s+AemZC+tZm5SXg9sunYmikOvhBvmdTcW6pyojJkzBmFlzw64Gw/QZXDkkc+cYHfLK7wu7Cgnws2GOUjHoi+X7TZiKcpTbNqh3M6/8vqR+6bZLZ8Z/L19RGUg9zDC7VzfftDLhz+pxDMMwqYrjmQMZvz80PLJqjbaqJfGPcZhCUV++R24VtCBHUuX3Si3g9KX7J98vP96XvtSOWlh5F8Lsp+wi30/1+5Kqsx8MwzBGRDqUKY/MMKmGG4EnaMWgL9BWtSSlhNCg8PMZUCoGbVVLIv+8mb13RttZMWAYJh1xPXNgFS/sNOVRGp5N0IcFofCQ2155D/RGp70UmLRGafk5iBZRHGH2ok5aM5Xq5182H/JzpiYovL6H7L/AMEwU8XTmQE/g8dJOU2tal5HQEkC5fcLFz5FrLZtu5TY9li5brCmMpIuAIreLURvI9yWVBVU36D0DTLDwPWAYJoo4yXMwF8DaGdeelhSJxmgUxK5ts9aoltV16Y6e0KMl6PDIVLRxen+s+jf0NeFX3S6yL456HRMc3P7e03S4HpsefAsA5gkh1oVdH7+Q5Y1fvrQ2sGhFezesw/c+Mg9I87ZlGCM8NSvSE3C8Gr3WG+1kAVgfpSMdt0/08POeKIUwu/dfbTeeCmgpTFGL4tUX0VLQGIZhmOjiq89B0CYtQfoihCFsu/nAsmKQPjiJBONUMbBDmDblXkTH+c3TGxNCbYZJuo22KxWEsCOqOSVV680wDGOXwByS1ZgJ11EWZtVhIP2uqx0zIqbv4fVzoBTkrJ5b+YxGTYiyUpffPL0xgJo4J2pt6pZUu55UV2wYhmHs4GsoUz0zoCAE/3RxxPV7Oj5d2qmvENSIsh1n3bDNecwcj60SlVkDmXRzmE7la0nlujMMw9gl0JkDt0pB+4lWHHhjF5oPN6B03CCMWDgOmdmZHtXOOupwql4Rhl0u+2xEA74HzvDqnYmiYqD1O9VJZfMi9p1gGKav4LtyoCfs2BGCWuuacWD1LtRXHouvO7LhAI5sOICyiYPxn8zf4iNXXY/8on4Jx/nlgxD2aLvXH1RZQWCn5XAxa3uvBBOv77MsNPkt6NmtdyoJnn2VVFQQGIZh0p1IZ0gGgK62Tmz+87sJioGSjoNdWHn/7/CNBZPw4iN/0D2PlzH/ZdOoMGKFG32c3FyfV9fiZU4LxhgngorSX0br/ji9Z0EoBnZgIS414PtkDM9UMAwTBpFWDjpbOrD+/tcT1pWOHYhxF81AZk7ypMdffnILHv7ujTi4Y6vuOaMssBp9KGX7Y7P6y0Kf2mk6SMIuPxWxopgpE3e5UQyUZSrX5ZXfF+mZI626abUFC5xMOsCKAcMwYRFatCIr7HtxW8LytC+cjPyBRQCA4tFlqN10COXFJ2HDK/+L7/Pef5/Be/99Bvd8sA9Z2dma5w0y5Kld1HatbkJSagnofl+vWuAMqn3DDKOZKpjdiyi3XdTeUxk2xXNOlJ83hmGYvkykZw5O7KmN/y6bNCSuGABAZnYmhswdha8uewhf/PndaGquQ1FhWXz7gW2bLZURxZFtp6PDVkyDgrjeMMytGGek230KWuBMt/YLEh4Ztwa3E8MwQRPpmQMlFedP1lwvj1SPmTkXP7n4zPj6UVOmG+4v/wb61uif19dpNEsQZJvyKGTfhu8/wzAMw3hDZGcOhBCgTAIA5A8sQkaWccjSY4cPAACamuuw+Ku3IjOrV+/Rch5W/7Y6oh6FmQajOljxSWAYL0kXH5O88vt4lNZn2PzPGurnkJ9NhmGCJLIzB211LRDdAgCQXZBjuO/SZYtR+eJWNDXXAQA+rPkP9ix71XaZVmYQ9LYHHafezLlUD6/rp5x9Yfo2qTwDF+UMz+lIugm6QSg9/EwyDBMUkVQOhBDY9/L2+HJGlvkER/uJ1vjvgkFFBnsaC8hOBRxlrgA75bnB7nn9FNxSVSgMgnQXNv1KChgU6SaoRhGtNvbqnQh7NoKfH4Zh0o1IKgettU1oOngivjzyzPGmx7QcbQIA5PTLtV2el9F1tAQlr0dUjRLL6QlpLLyHRzorBjJRf760BEgjoS7dFbogufmmlVi+ojJhnV7bas2I6qFleuPnPVNHkfNLKfBTkWIYhrFC5HwO8srvQ79JyxLWZWQb+xt0NLWju70LAEBEvtXNbHRU/pBpfdCCGlkNKzkbk7p4/WxGbRZBbTJk1X6b7by9YemyxQnCrZGgq+cXFjZaioif52cYhgmTyM0c9HR14MSOdxPW1e+pxaCZI3SPObB6Z/x3v1H9bZfpJHeA2XFhxfvXqwvD+E3QfjdmpILA1ZdmKKxep5vnJ+z2dFO+3vPaV54PhmGiQ+gzB0IINB48gf2rd2Ljg2/hrdtmYvujtyTsk1dWYHiO1rrmhOXOlg6vqwkg+aPlZibBC6yWzzBGePWchDFj5fXovlZ+Eb+VjFRQYtwStdmkKGGkFLBiwDBMGIQ+c3DorT04/N4+3e3jLpyOfiONZwMKhxSjtVZSEGo3H0b93mOYdtUpyMrTzpAcJGEK6MrwkqwoMOmGWYQhedkLG24/nV77ggA4cuFI4NKZnp7TT7t/J2gplX3h3jIMk36ErhzUbj6suy1/YCGGfeTvAIw/oOXnTkLL0Ua0HJGckjtbOnDorb0oP2ei7jGiR6DxwHFkZGUib0ABMrIykZFpfSJFGZ0oLMHbKKyq37MWfYUgo0+ZwUpeL2qh0I4QZmXfqAmeRmiZc0XNxOs2jxUDGasO5kGjVxerdWSlgmGYMAndrKhgUD/N9QNnfwJzv/d+fNmoU83IzMDky+ejbNLg+LojGw5g+98/QGdzO4QQqFlXhb3Pb0HLkUYAwJbH3sOOZ9Zj21Nrsf6+1/HBvavRXN1gWl+1w1xUPr5qeBrfP/RC1vpNVJ+1sDETpGTzDCtmGsr7qnWc1wKoX0JglPKPBCW0sxkOwzCMN4Q+c1Bx/mTs/s+HaDpcn7C+cd+HoIxE3cVoaj8jMwOjFk3Eid216Onqkc6x/zh2/WsjRI+Ihzo9tqUaGZkZ6OnuSThedAtsfWINhi8Yg+GnjjGsc5SFtKg4QQdBECPpepGn0r1tUwWvhUGj+xplwTPqz6M6DGi6YqYIWZmRSuf2YRgmNQh95iC7MBeTL5+HsR+blrBedB/U7ST1nBCzC3Iw8yuno2zSYBQVlqGosAzUlI2MlhwUFZbF91MqBrnFeQnnOPTOXmx57D10t3ehvvIY2htaE7ZHYSTOjCjPaHhJ1My5GHPCmnXpi0S1H4iS+Y9VrAjsbkzdGIZhokToMwcyZZOHYP/qnfFIQx0NbRBCGB6jNZOQlZuNsYuno7zrdLzw0L3Gx5cVYPpVC9DR1I5ND74JubiWo0344L7X4vsNmDIUFedPBmVkRCpEqRZRqw+T/li1b/dSKWDBK3Ww478RZQHbCz8UnjVgGCYVCH3mQMnoj0xKWF5796toPbrf9DitDnfiKacnrSsqLMP0q07BkHmjUH72BEz74ikAgJyiXMy9+WwU6+RIOLa1Gnuf26K5zYnAI4+e8igqk04YPctRVqhTnVRoTyv+AFr9eNRmGaz6rrCQzzBMKhOZmQMAKB03CKPPnYR9L2+Pr1t7x3k4+advIadfmcGRyWx+/RUAQFNzXXxdUWEZutq6MOrMCUn7ExEmfmYOjm48mFC+TN2OIxgw9RhKxgxw5Own26lrHROmDbufIRqZvgfn3mD0kEN7ymahVqNGRRW9mQQjc1iz8zEMw0SBSM0cAMDAGcPRf+LghHXVr15ta9Tp5ptWorO9DQASfA0AYPFHfmh4nkEzR2D21xZi3EUzMHvJQvQfPyi+beeKDQmhV63Y9CpnB8xGVpX7+T2joPbbiNoIXRTgNunlN09vxG+e3pi0Xv2cGr0TrBgw6YbWd8nJDAgrBgzDRAlfZg7cxNgmIoy7cDpqhu3H/tU7AQC1Hx7C4NkjLdt8Ll22GCfN/CLeePqxpG3b330DN//AuH5ZedlxpWDM4mk4ce9qiG7JIaHyha1oqKpLcqCW0YuLb1XYV+7n14wCC73mcBslohWnXksx0IKVAkbG6L3qywIyJ0xjGCZK+Dpz4GYEfNDM4fGkZOqwo3ooPzynXvJZfO4nv03aR55RkOtnRkZmBmZ/dWHCurptNVh3zypTh2k75fhxLOMMPxSDdFI2tN5rtQIgzyCwYsDIaGUQ7gs4vU7u+xmGCQtfZg7UNvlORsAzsjJRNLIUDfvq0FbXgiMbDmDwLPPZA3kEhohwxqevxHt7HsHu/2xCTx0BAOae//GE/a3ULTMnC3NvWoR1y1bF1/V09aCtrgX5AwptXZcWWj4MqSRUWfn4BT0qFrWRuCjVxQ3qZ5RzPjB28CuZXJgor0npU2H3eCWsGDAMEyaeKQd+CAkjF47DtoMn0NPVg/2rdqJoeAkKBvWzZF4k1+Ubt72Au3M+hgvPuB0lg4bgiRVLMO2Ms23XPSMzA1OunI+tj6+JrxM9yTMHVp2VtcpLZyErSGFdbvvlK+yX2VeSNTlFa4bALlFT3JhgSSfFQIkXoU6V6L1beeX3oVN8COAiz8piGIZR4plZ0fIVlUnr3Aq7BYP6YdjJowFIgviWx96PbzMSLpQd9NJli0FEmDDvFAwur9D1CTCj5WhTgmIAAPkD9WcNvBb0vXJS1vt4uRHWvArt95unN3o+YubmY52uQoySvnCNTLRIZ8XQaqhT5f5apPNAEcMw0ccz5cCsM3Qq9A2eW56wXL+31nKZbsuWBfIbb/gv2j4QCZGPJn56NojI8Hi5g9fq6IOeNjab6g5TSLyh/Px4JJyRC0d6dt7rL6kAwAqCEWEIaqkmHMrvjl1zEa/hvCjuCPo+ys+5H897e/UvPT8nwzCMjO+hTN2OgGRmZyK3ND++vHNFYjhFZQdstxM2c5iUt/3u6k/hSOXueM6EHzzxEorLyywlM7MTqcgKURYOnH4Ef1/1AgDgwOsHNKPi2IWdYRmv0AtLGbSSEOX33glBKohhKnVeXKey/mySxzBMELhWDuwmAnPC9KsWJCzXba9BT1d3fFnZWcpKgtq0yKmg+Lvfno8Nr/8vIZlaQXGJ7WtRlu9WcE0VQcHOFPttl870VZhP9xkAhkk1ghBy9ZKUBSVge6WY+DkLwTAMo8YTh2SzvAZuR88pg5CRmREPabpn5WYAQP/xgzD249M1zXuMOlE7QmhGdiZyivPQ0dAbAvWXl12Amx54ClNOXWhwZCJuHbaVbZgKI+L8EdMnle5jXyYqzumpMhgQNdRCeRgR07yA+1KGYYLG9cyBUsDx8yM28dI5SeuO7zqKtXe/iq62Tktlq0fstTpv9XmICJMunYt+I0oT1i+77rPo6UnMv2BkWuSFIBiEqYyZmZQZRqNyYUzvt1UtseV7oK671x9mFvRSg6goBmpYoXRGVBUDntFkGCaK+O5zIGM1xKceRcNKMO2Lp2DYKRXI61+QsG39/a/jP7//jeWkZAASbDi16qkktzgPky6bi7k3npWw/r3//iNp36gKf1ZNfPxQ9sJ25AR6nZOtYDfiCJOe8DPABEHYfSPDMIwaT5QDu6NZToXO/AGFGHHaWEy76hSUnzMxvr6osAwr/3AXjm8/Yuk8Zp2x3uh5RlYm5px1YXy5pnJ3/HdLQz22vv062pqbI6sgyGgJPMp1RlGWvCg7aGVBOeMS9ofYz7ZlvCOqSkHU+5aoEOZ7HnYfwzAM4xbPZw6MPl5ejUoTEQbPGonpX0p0VJ49/lOOzyljVq+9B96NOydvO/4cTtRU4zdf+AS+edoULLvus7j9ooW489fnhfoRt2o+YzRC7qXwqixHWbeglYSoCHysGHiP1rOULkKaOpiBHqw4SITta+CEdHlWGYZJDzxTDsIQePJKC5CVnx1fLuxfZrC3M9Qf3Pb61ni+gwvP+T9879y52PNBb3K2+iPV2PXoZvzvgXvQ1d7peX3M0DOXigpaCklQdY1qmzDmqIV/LQHQb3+RMFA6r/d1pTIKuSbM4JwqDMOkA66VA3XIUL195P28tmmffbpk5tPUXIdXXr4He/+3BQff3G3of+BGOJ0w6fT473u/9nnNfZqa6/DXO27D+vteR9uJFsvn7mukg/DG+I/8fqpDFts5NlXp6wqBTDoI3ezLxDBMquDJzIG68zWLdmPng2c2WrRlw0sAJL+Dg2/uwbGt1Wjc3IhBJ2ZYLsOoburlxuIDmseN+8JUfP/pF5DfrzhhfeX/tjqqh1NSLR52ULHOoyIgMM5Ilec5TIKKHMe4R09J4H6KYZgo4JlZkVlYUHVHaDV6kdkI/4RPzUZTc11CkrKm5jr875Fl+MqXnzI8v53IPTIDJg/F6E9PwOd/eifOuuJLKJ3bHxOuno7s/Bz848VvY9SlozHmY1N763K4HqLHehQlK1j58KeScBCk4MdCZurh5p6p/Vz6CjzjEC30nmE9M8u++Mwy0YaIBBHdHmL5i2J1WBRWHfoSrpUDPaHfaB+jfc1Qd5rZBTmYpJEDAQC+sWASXvrLHy2fyyr5Awpx+qeuQE2/DzB0/mhk5vTmksvIykRxeaLvw9qlr2L/qp3oagvOB4GFg0R4Op9Jd9zkJ7FKGIKrF+UFVWe3iqwSVhBSD4UAK//1ENFxInqRiM4Lu34MYxVPZg7UgpcdwdRK9mSzTrPfyP6YvWQhJn56NqZ+7qSEbc/8v9tx7VWPGx6vVScgMaSpso5m9c0uyEHBoKKEdTUf7MfGB95EZ3O74bFWsTIjEoSwEHXyyu9jpcBjlKZ+LMBEBz+dloO8126frzDedy/aR+v4MKO7Ma74E4AvAPgSgKUApgP4HxF9JNRaMYxFfEuC5reCoCYrNxvF5WUoGNwPEz41K2Fbdk5u0v5KJ0cj0yW1Ha9VJWHK507CqDPHJ6zr6erBtifXGl6HFawKAX09wgl/SLVx2y6sbPUt9IRWP94vrzILB/mM6kXOsuuArOdwbxapi4kk7wghHhNC/FkIcTuAj0CSt24Nt1oMYw1fMyRbEfqV+5phtZPtbOwdnR8zax5y8vMtn+/6Sypw800rLflEGNWZiDBkXjnm3XI2pn6+dzajvaEN7Q1tptcgozd74YS+NovAQqw2XrQLR17pGwQpiPpdlt/n9/K9Uv9mUhshxGYAtQDiI4ZEtJCIHieivUTURkS1RPQMEU1SHx8zUXqMiM4ioneJqJWI9hHRjRr7ZhHRT4noQGy/tUS0mIgeIaJKjf1PI6KVMfOnNiJaT0RXmV0TEZUR0a+J6AMiqleUlRTGMVa2IKLBsd/HiaiRiJ4iov4a+y9SXOcBIvoFgGz1fox/+KocAOHYvrcdl8KHNjXX4UTW3uTtFjtdL0beiQgFg/olrDu6QTvikV4d3KBUCMKeRZDrEpSS4kQY4Kl76/Q1ZbOvkU6Kgd/l+CnEq2cUWGEIjMlENFf1N8zJiYioFEB/AMcUqy8DMBzAnwHcCOB+AAsBvEFEgzVOMxPA3wG8BOCbAPYBWEZE56r2uw/AjwBsAPAtAC8DeBLAXI16XQJgNYABAO6InbcGwCNE9G2TyxoL4MrY8d8D8H0ALQAeJaIv6xzzLICi2L4PAfg0gGWqOp0G4HlIbfMLAHcDuATAr03qw3hIlvku7lGOxLvFSsdYXF6G6jVVAID9r+3Cb3/1EWQX5Lgq12wWxOga1TkX+pUnKcqWUSZFsrKflfoFTVTqoYUc3UYrtj6TekRN0YuSsm5Eqo/iA73vrlbmbK/e61RwdE4Hulf9Fd17XwumrH375Z9/1dj8EwC3WzhNERENhDQAOwbAzwBkAnhCsc93hRDNyoOI6FEAmwBcA+CXqnNOB3CKEOL92L5/AlAF4HpICgCIaDqA6wA8LYS4THHelwH8D5JCIa/LB/BAbP3FoldQuZeI/g7gdiL6oxDihM41bgJQIYToVpzzbkjKy3cgCf9q3hFC3KjYXwC4gYi+LoRoiK3+HYBOAKcKIQ7E9lsOYKNOPRgf8H3mwCvsjFIWjy5D8ejeiEHbnlyD7s5ugyOMy5U/4sqPudaH3Wod1dGMzPBCiFAqN2GN+Jpdhxej9jfftDJyAmG6EmXh1k/cOMvKs5F9te2AaChsqRQBiQmNzwGYp/pbbvHYuwAchTQK/w6A0yGN5v9e3kGpGBBRERENAFAHYDuAxMgqEu/KikHs+PbYuccp9vm4onwo9n0ewBbV+c4DMBDAwwAGENFA+Q/SCH9+rN6aCCHaZcWAiHKIqAzSDMRLACYSUbHGYb9XLa+GpDSNjp1nMIBTADwhKwaxshphve0ZDwhEOfBauLXCuAunIytfMlFrr2/Dnmc/dFyuXdT1JCJkZGfGlzf/5V3DDM5eoRZCtJScKOClKc/yFZXxc9opm6PvMFaxk13dTpSzqGD1HUj10Wyv3vdUbwdGl21CiHWqv8MWj/0dJOH7IgD/D0AugHzF6DyIaBgR/ZmI6gA0QvJJOApgBoBSjXNWaqw7DkA52lgR+79dY98dquXJsf/PxMpV/smj/lrmTXL9iYhuIaJtANogmUwdhWSeBIvXcDz2X76GsbH/2zSODTajbB8nZWYOAHtCbWZuFqZ+7iTk9MsDANTvPYamw/WOyrViCqAWxNWCQNmkIfHfbXUt2P3vTb4qCFFTAIzQi9Lh9bmjil9CY6oIo06xo9B5rfRZfa7MZhtTFbfvVSq8l0bwIAJjwlYhxEtCiP8KIb4Dadbg+0T0cQAgogxIdvUXQRrl/zSACyApFJuhLZvpmT+Qzm8z5DK+FitX6+95g+O/BanuawBcBeBjsWPkWQsn1yD/1xKO7Fwb4xLHPgdXXn4PxsyaG+oHz8yOPqdfHkrHDsSRmAPwtqfWYt7NZ4NI/xnTmqFQRi7SK0/vGJnysyeg9sND8eUTe2qx9u5XkT+gEJSZga6WDlAGYej80SgcXpzkxKysV6oIGVoh/vTwSliwkxHXqlDppyDjpy+In89JmD4sdgQz9Sh/qgulfuOX0Ks8r1dRfezsm4qOyExa8TsAXwXwGyJaCWl2YAaALwkhHlHuGDPPqXVYjhyBZRKAt1XbJqqWd8b+nxBCvOSgrCsBrBZCJEQn0nCQtsOe2P8pGtsma6xjfMLxzMHjTyZF0AoFs9HRUYsm9C4IoL39atPRRiOhR8tuX6sO6nUZWZmYf+s5qDg/8ZlvPdaMliON6GhqR3tDG/a9sh3bnlyLlqNNmvVKF8VADs0a1ghcVEb+UuV+MowSq7H31c79bjMIhx2tJyqmh1defk/YVWBsEPMP+B0kAfcy9I6gJ4xUxkKIOoqIFOPZ2P9bVOe9AMBU1b7PQ/Jx+CERFam2gYgGkdFIqnQN6voPguRM7QghRA2A9wBcQUQjFeftB8nxmgmISJsVeWEWQRmE/AGF8eWjH7wQ/+22ozfLPaClSAycNgxlk3TN+ABIydK2PPae43qFjVoY0PuY2/UPcFoXrWglfpQRFcHBb4xmDfTawOm7rHVcFEZr+8J9toLyfuu9Z2YCfRACv9H5nc40Bvkccrb7tOABSHb5P4DkE7ANwJ1EdDsRXU9ED0EyydljcA5DhBCbIPkLXEZEzxLR14no1wD+Bim6kFDs2wTgy5BmFLYS0c+I6Foi+j4RPQ3gACRnYT1WADgzlqvhOiL6MaTwqfsNjrHCNwHkAHibiH5ARN+C5Hh93PgwxktcKQfLV1T6kjJeiZUkZGadJmX0Krc17/wVPZ3tCduD+NAr6zh28XTMu+VsTLvqFOQPLEJe/wJkF+SgaFhJwjGH3knO0ZAK2P3YB/GRdXqP5bopFT31h1pd/3QXHJ3MdtgNKGDHhC4MZUGZqCpd8MMvI2ylQF2eE6Kk9MvvRVRm7hnrCCFaIEXrmQ4pqtDHAbwB4CYAvwUwCsA5cC9cfxVSfoDZAO6MnfNSSA7Jrao6/QvAqQDeBfAVSDkSvg7Jmfgb0PcRAIBfAfgpgNMA3APgckjOyK6mtYQQbwD4KIDDkHw1boWkiHzHzXkZe7hSDoKyHXWrIIxcOD5huW7rmxZr5xzZBEivXkSE/LJCTPvCyZh+9QLMuv4MTL58HirO6zWrO/T23nhCNyD1HUy16n/9JRWa+/lxrW4+8maRnoJUEMKepbByb7TqZkepMNs3CsJ5OikGWkRNeA/jedcr0+t2iYrywbhDCLFKCEFCiAd1tt8e2/5PIcRuIcTFQogyIUQ/IcR5Qoj1QohFQohFquNIbdsfW3+1EKJCta5TCPFDIcQIIUSeEOIkIcQLkPwQkhQPIcRaIcRnhBBDhBA5sePOE0Lcq4yuFKvD7YrlLiHEj4UQFbFypgghfi+EeCS2b6WqniSE6NJpr1Wq9a8IIU6OnXeEEOIHQogXtfZl/METsyK/OjarNvZm+xWPLkNOUW58ufa9n3mWol4vXKgVPwQtBk4fjqy8Xj/xHX//wHGOBi/xIuSn+h5df0lF0rqwnK61ngG950J5j5WKjNKMyi+hKgpChNG90bpuv5TadBfOg8TIZMbqM+32fgSZGM1sXdCoky+q4fwYjFViyc3U6xZDmrF4OfgaMamIa+XA7KNxQ/n5kZiWzenXqxzU7+3NYO51IiMrwq1ZmTOuPR35AyX/oI6mdmx97D30dPcklREkXgu8Wu0X9nXZGf03ewZSfZbHDepnxUuBpi+3a1A4iSoWBQHba8KaNQj7W8mkPEuI6FUi+l7Ml+E+SGY5+8CJxBiLOA5lapUHcYmr470SBvpPGoKmw1J2bjnngN0Qd0ZmQlrb9GYPzISlzOxMTPz0bGxY/oZUzxOtWLdsFe44egYKhxZbFrb8CDfp9YcxLGHPzXUoHS21CGp0z2iUPl1HGNP1usLEbphRP0KD2jmf2fvntJwwhXI5zC4rBowHvA/gQkg+A6WQwqI+DuCHQghnyZ6YPofv0YrCHlE68NourLnrFexftTO+LrsoJ/7biYJgZZuVKEZGZBfkYOj88oR1Va/uSLtRaaO8EWHNJBjh1pbeLXqzHOr2SrfnxCtY+ErEaf4BP03ojM7pRjHQI+yZbT+TQDJ9DyHEa0KIc4QQg4QQ2UKIYTGb/wNh141JHXyfOVDiJAmRU8FL9Ai0HG1E9dqqpG2lYwcmLHttLmNFKLMyqj9y4Xgc33kE7fVtAIDm6gZ88NJzeG2LtWAAqTDKajQTE2Wi5AirzuAdZoIyJjzsCvpRVpSiWje/3ntWEBiGiRKRdkiWsTsC2t3ehQ8ffhtbH1+juT2vrFBzvVd46TimTpr2x1uuQUdjmyfnjgJa7eS27fx0CA47CZMapRkRKwTW8GOkWOmcnoozNlF5pq1EoXITkpRhGIYxx5OZAzudtZPZA7tUvrgV7Q3JAnT+wCKMv2iGpXO4qac8cuuFsNZvZH/Mu3kR1i5dFV+38cG3QBmEivMmY8BUN8kUo0HUhFojUzP1KH1YWAnvm6potb0ffYaXfVHUZmzMri1qgrLf3xAvrjcqChTDMIzfRDpDsozdD27LkcaE5WEnjZaSjn3hZOSWJkX50sTth8DL0UPKyMCky+YiIysDTc11ACSzqb3Pb0VnS0dSmak0cplKdZVxovj5NaIc1oxB0PfNr2SLXgrJUVEM7MJCL8MwDKMkEOUg6I+PbKMPAPNuORsjzhgHIjI4wj5aQoWfTqH9RpRixjWnYfipYxLWb1j+RjzMqVmirjBJFd8Cs/vlpr5eXmsYSoHyeTYr281zb+aMGiRhO6taRauOZvWOmomcn/SV62QYhvGCUGYOAv3YCvNdnGKUsEaJVwpCdkEOhi8Yg1nXn5Gwvvr9fZ6c3y/CmtFwIhAYCb1m9TdSBr2caQhztkXtcK8VvteL+nmhIMj7etHfWD2HUZJAJ4kEjWY8nCYkTFVlxy2sIDAMw1gjMOXAToIpt+QW58V/b/jjG1BkAPcEIwEwiNH77IIczPjyqfHlGo2ITFFC2S5RMSOyI+zJ2Mkv4RajBGth+zpoKb9aswpu28GLXBRe9jNm5zJKZmUm5Budz8skWX6EAg2DVFBwvKIvXSvDMNEgJXwO7DL2wunx312tndi1YqOnCoJV4cxPRSG3JB/ZhVK+hu6ObrSdaPG8DK+JWkSdVDEZkQlbMQCSn2UzhdgLBUFLkPUqmZWZkGx1UMOJ8K+1n95sgJezH6muGLghVa89lfophmFSn8DyHOhNs/vRWRcOLcb5X7wBL/zl9wCA+spj2PrX9/G7F3ehsKTUUwHL7BrslmU1VrnoEehs7nVG7unotlUOk3pETTHQ2hZEHY1mBaz2J3r7aflUmCVKDEpwS+cZA2X91HX1un29zEQcRLtG9Z4xDJO+hDJzEERn9/nbf4PScb3JzlqONuG7n56uK7zYHUVWXoOXHy+r522uaUhYpsy0nAQKBLvmInpE0XwqCnjlg+BVv2GmzGv1EX5lAw6CVBp11hK2tdrc7X3w+n6mUhszDMOYEYrPQRAd6bJ7LsT4i2di4qdmx9ed2F2L+spjnpXhp4Jg9uHKzM5MWN78l3fR2dzuWR28JNUEZa/uZapdt1eor1vP3EjLmdktQQtpURcKo14/LYL0T/MSL8LtOnUyZxiG8RJflAMnEUX8onh0GUacNja+vPOfGzSFkLaqJbj+kgrb5w9rRDF/YBGGzi9PWLfhj2/ig3tfw7Yn12L9H17HlsffR3N1g84ZgiNscxirWHEOZRLREvKV99vMFCmVswoDbPLhNVbaM6w2dxNdyslx3OcwDBMWnikHVhzowurUh51SAQAoKixDUWEZ7vj+GcYHpAgjF45H4dDihHXdHV1oOlyPrtZOtNQ0YusTa9DV1hlSDcPH6jPn9WxB1Jyv/ULvOs2uXSujsJX28rMPcaKgsADnnrDb0G52Zq/QmiVQDjax4skwTFh4OnMQhoJg9YM+fEFFPLvwoef2J0T3kTtoo2grURrZVNZlyhXzMe6iGRg0cwQydPwO1t//elBV8xWnU+5B2hX3FaXADDvvi902c3s/9Z4ht/ctFYS5sAVxJ0S1Xc2c1O1GsIrqdTIM0/fwPVqRVjQfv6JQGDH0pNE4/N4+NDXXoaiwDLv+tRHTr1pgWld10qcooBZi+o8fhP7jB2H0uZPQWteM1qNNaK9vxcE398T3ET0ClOFtluggMVI83XxUjY41muo3O66vf+itZFB2I4yH0Yeo0RPwoi6A8/PJMAzDGOHZzIFZdAmzY/QwGym2KmBkZGVi+pd6E4dlteehq70zqR56I4qpMhqcX1aIsklDMOzkivi6zJystFIM3GL1uXOCXcEraopnWITRDlEX4vsaYSgsTjNM6x1j5kxt9TiGYZgw8dSsyMloXpA24bnFeSgaURo3L/rsxUt9KytshOidKejpTt0cCHYTSOkhO5zLz5sbm16j46yeM5WdcGXc1F8rmZqT83lhYuQFUZjJ8BO/ntd0bS8lRnk5GIZhokggoUyD6hStfLxKxw6I/3796cd090v1jpyIkJElhTvNLsgNuTbOcHIPvJhlAoyVBy+fjVSZkdJCGW3ILVbOobePF8qaXbwya2PCIehwoUYzBvz8MAwTNXzxOQhrFM2KoDVw+nAceH03mprr8PyjSzHzK2ck5QxIh866s7kd3R1dAKQZk1Qj1ZWzvoIy6ZsbRcfqsXrlGPU5fvdHXtrwR3UGwi8l1omJnxvFLArtmg7fF4Zh0pvAkqA57ZS9TjSWlZeNQTOGAwC6O7pRu/GgZlmpTld7l+bvqMGmCumBXeHRLzOVIGZ7zMr3wlzNz74olfo5r7KX293XLXptnEptzzBM3yUw5SBKjDhjHAAp70HW0RIIIVIiyogtRO/PtuPNnp3WS4Eur/w+LF9RGdnMoGahChnnOFEmrAYGUA8oeClgWsHJ+VJdaAzi3XVrgpPqbcwwDBMUvuY5iCpZednoP34QmprrcLRqLwYcm5qwPWpCqhMyc3pNpQqHFBvsaY+gbORT4UOufkZS3cE4aOw8S1b2daNg2j027BkKp/jxXvl5zcoAAl6eLwxSoU9jGIYBfIpWBHibRl45YuTVh2joyaMBApqa6/DWP55Ac02DpbrYIczR8M6W3qzI7fWtgZcfZfyaqfBa2PWCdIiKZAWvM9dawSxsZRB1sIPfwmkYioeTMoPKQMzOxgzDpCq+mRVpdYxRGlUrHFKMgdOHx5ePba7WTdaWiuSW9Doh93T1hFgTbaL0LOjhZz6EoAR2Ozk6UuGe6OH1u2p3FsFN2wXRz6jL8Pr58+sa5BDEMl5HiVL7efgh0Kfyd4RhmL6J7z4HTjpGs0QxXgkxg6YNQ1FhGQCgZVdLvAz1B8KL8pTnsCJ4uP14124+HP/d7aFDclAj0V7M2uhhR2n18sMut10UR/I5Frs2eu2RSqaHymdYfv6imPndDl6+l1oKgdPzc5IzhmHSgUAckr0UtM1Gdux88AqGFscTogHAuXO+lXS8l0JTkAJFflmBb+dO5dj8egSlIASJ1XchXWL2uxHwzPJamJmiKQcVomROolUP+f1NhfdY+QzL7R6VttVD/YykihLJMAwjE1i0IqsKghcdv1WhiIgw+txJACTfg3u/9nl0tLW5Lt8L3H64swsTE591tna4Op9MEAKFFx/TKAoQSqHMjrkPYx2r910vU7bd5yaMBGxW0Zox8LscvwhjlsOL7NvKwSUvlYbcod9zVTeGYRgjQgll6ufHRBa6rH5MBs0cgabmurh50dr//Tu+zSj5TtTJzEnMb/fhQ2+jo6k9pNoEi5Xnyy//EjMhLEiFoK8qH1bND6Mai94v5ViZsC5VTIrk/nz5isqwq+IZaqXB7rEMwzB+E6hyEOR0ux3BaMi8UWhqrkNTcx3+/P9u8KwOWtf6szvP8Oz8RmT3S5w56O7oRv2e2kDKVhNVJcvMBMSOWY58TX1VIE9V3ArJUciRoMZqH5tKSkIYBNVP2Y2cFpX+k2GY9CWSSdCCHrnLH1AU/918uAH1lcd097XbMavtkG+7dGZ8vZ9kZGZg8mfnJqyrWrUDnc3uZg/sCBNm0+pBYFcA8kJYUisIUXZETiW8CkGrfPf0lDk772eUQh478ccK8rl0WlYYszlR8x9hpYBhmKAIXTlQO5yF0QGWTRqcsLzznxtQ++Eh3z4MQX1sioaXYvLl8+LLolug8eAJV+dMxbCYbvIP2FWGjM4ZxVmFKN0nI7Tq6XcmYjvvf6q0o0xYz2IU3wEr+BEdKUqKB8MwjJLQlQOtj0XQYRUzsjIx89rTkKeI8HNk/YFAyraCm5G9I+v2JyyXjB4Q/916rBn7Xt6OXf/aiD0rN5smS7M6+h22oKQs364worw+5bFuP+KpKhSlE07voVNBLuj3wKh+Sgd42SeLn0ljfvP0Rt/OrexLrTxfYfepDMP0LUJXDpRoZUIOqlPM6ZeHIbNHxZdbaps090ulkZ624y2o23Ekvjz+EzORmdvrqLztyTU4uvEgTuypxYk9R7HjmQ/Q3eFdToRURa0gpLo5kN6MXKoIHG6dNr0coY1SyFI39XAzQ9ZXuO3Smb4pCHrRylLlnWQYJr3JMt8leNQZR/PK7wvkI5zgxCuAzpYOZBfkaO4bVJ3c0FzdkLDcUtOI4tFlyMjMQMvRJnR3dMe39XT2oL2+DbWbDmHIvHLdc0ZxtFGpUHpxT9TXGMVrZrQJI2eDmxkJp8Kg0zL1nuUgnnFZAUml90mpINx26ZKEPsYvQd5KlK326npfymYYhgEiNnOgRBmHPChKxw5MWBY9IrCy/aDfyNKE5UPv7MW6Zauw5q5XsOWx9zSPydJRhuwQtNKUV34fbr5pJa6/pCJhvZPRUDczBVFXFpX4EWXHj0SBds7ph7Dm9FmwUpeojBJzeF1j5CASQOI7bvaNctIfmB2TSn0MwzCpi2Pl4MrL7/GyHpqEoSAMmDI0/vvoxoNJ5asFF78/8EbCiZngktMvD3NuOAtFI0otlZWRmYHScQN1t5t92MM0TdCapncqiDiNYBMVYU+NltmJ1rU4fc+CGkG1Y5Nt91pSyazGy/4w1RSDsIRjpYKgRJ1MT23mpVVfs+8GKwAMw4SNq5mDID+oQUUyGjx7ZPz34Xcr0XKkEYC5YBJGiE4rZGZnYvJlczHti6ckzSTkDyxEbkl+fHnEGWOTkqeFTZAfSi+e56gqCGa4aWc/7O+DnjHw0txGrk8qC3l+hN8NKxpdGFhpP3VbpEKwB4Zh+gauzYqCUhDaqpbg+ksqEjpdPzrKwqHFGHZKRXy5RhHtJ8yIEm4/1PkDCjHp0rmYf+s58b9pXzgFOcV58X06WzohhEgoz87MhZfRfZTniGLiPCP0noOojU5bEeqDHgDQQ8ucQ++YsIVys5HjVEDPYdYpXjxHqdCWv3l6I37z9EaMXDgy/ufUvEjvOFYQGIbxG1fKgdcfECvlySxfUenbx0KpHLQea9bcJ6yOWxbYvWr3HIUTdvX7+7D9gQ2YUfbp+DorpkTyh99PQdLpyHRYH1KtUdJUtLfWi6gSVrumgoDoJ06v3+ngglfP7PIVla6OTxWB+LZLZ+K2S2fiwOtSKOx93/wWAGvfCy1/J73jcod+z4vqMiFDRIuISBDRohDrcHWsDhVh1YGJHo6Vg8efvNHLelgmCIXk6IaD8d9uMwr7gZdJtcrPmYSCwUUJ657+1Y+wafVLhsepP2Jex01PFyEwrMzQQWD1mrxWGlPJXjtq950zdQfD0mWLcdulMzH6zt+a7muWlyUKYXMZexBRKRH9HxGtJaJ6Imonoj1E9DARnRJ2/RjGjMhGK7KCXx/e/at3xn/nDygy2FMbJ/Uyy66rt+yWzOxMTLnyJEy6bC4AoKm5DgBw39e/mGBi5AS/P2Zm5iXyPlER0KNQB6/x6nrMzpOK7RalOsuDKnL/oZztY2XBP9SRjvSEfKvPinx8e/UvPasj4y1ENAPAJgA/ArATwA8BLAHwJIDTAbxDRFPDqyHDmJOyyoEV+3+nH2dlorDS8frRe7zGSEFQftS9+qDL5yAi/PDXb+HO1dtQVFgW377tnTdCy6RqJOw7PY8bZcUPx8woCY9+IIeYZZxjlujM7nOkvB9h5B1wkxMinXCjIDDRhYj6Afg3gEIApwohLhdC3COE+JMQ4vsApgC4Jcw6MowVUlY5MMJpnHSZ4Qsq4r/VicTcnNctSiXB7Qdda+TwiRVLcM4Xrovvs+y6z+Lgjq2mAl7Qvid2pti9Eirk6/NaSFEqCkErDF7NCBllX16+otJ3R2+9egWN8v45uY92sy87KcPrmUirgxVemMX0BeG5LwwapDlfAVAB4DYhxBr1RiFEtxBiqRBii9FJiGgCEf2NiGqJqI2INhHR1zX2qySiRzTW305ESYmaiOgzRLQxds7dRHQrANLYr4KIHiWiAzGTqGoiepmIzjG8eiZtSEvlwIrwYrRt4PTh8d/HtlSjtbbJu8rp4Pbj6XZGQRYS9ok3E9b//FPnYsubqzVHHJXH6RGEaZGVtgtbcLRDUAKCG8HQatQuK+2ebsKQU8UgKLxS5u30A16RTsKzlZnvdLrePsIlANoB/NXpCYhoHIB3AHwUwB8B3AbgKIDfE9GdLs57KYC/AciCZOr0EIBbAdyo2i8bwAsAzgPwIICvAbgLwAkAc52Wz6QWaaEcuI0Prd6WmZOVkAys8sVtCdmSw+6sjWKyO8nwqzxfdkEOyj85Pu57AAD3XH8Fvn3WTFz3pSdDEQjckkqKgUzQdXaiVIahkHllbhYllHUP0gcgVd7fdMbqcxv2N6ePMpmI5qr+hpkcMxXAdiFEm4ty7wDQH8D5QojvCyHuAfARACsB3EpEk+2ekIgyIQn4BwAsEEL8VgjxCwALAIzXuIYJAG4SQtwuhHhICPFrIcSnhRDmHvZMWhB6xqu88vtcf9j1IjzYTaSkrMfYxdOw7p7VACTToqpXd2D0uZPi55aPsXo+v1E7Gip/a7WPrERohRgsGFSEGV8+FR8+8g4K8/sDABqP1WLvhrWYdsbZuufsK9h9ttwQlM+H0zLUbWE3AVhUhR4/r8PonKn0XqVSXaOM1f4k6G9KlBj22KMYnZcTSFltbR3yT63R/58AuN3g8GIA2rbIFogJ8RcCeFUI8Y68XgjRQ0S/BrAYwMUAttk89XwAIwD8UAgRr58Q4hARPQ7gesW+9bH/HyOi/yn3Z/oOaTFzoIcb59WMrExM/fxJoEzJHO/oxoOoWVuVdP6oddZ6SoLeaOT1l1Rors8tycecG85CU3NdfBahdPBQzX054om3KJ+pqApgynuufgf8eifCeNesCm1eojQRTNX3KlXrnSpwnoNA+ByAeaq/5SbHNADo56LMQZCcmbV8EuR1YxycVz5GS6nYqlwQQlQC+DWAqwDUEtEbRPQjIlLPMDBpTOjKQZAffLsf+oJB/TByYe/7sP+1XZp5D/Ts3oMeFVXOFFgRKvX2k4WSjMwMFA4rBiCFOH3gni9oHmNWntN7HNVR5b6O0YyUn++zHdNAL+211TMjbuzBrWSjVr9PeoJ21AYmvMBKm6b6dWs9q3aO5X4xMLYJIdap/g6bHLMFkjlSno/1Ejq/lWSqlmWnY639kxyShRDfBTAJwHcB1AL4DoDNRPQ5e1VlUpXQlQMlQXd66vK0zIWGzBmF/IG9uQ5q1u43PGeYCoKTSCTqDMfqGYfBs0bGl+u21ziuW6plODYiinUKCrPwl2G2jVJgt5IDwwjl8WEJo1Yik0Vx9rKvYVdg5/uV1qwAkAvgSofHHwXQDMnuX82U2P+9inXHIfknqBmrWt6jOocSTR8GIcROIcTvhBCXABgFYD8kfwimD+CZcpAKApORwGDUYY//RG8im+q1VWg91py0TypNo2vVVa/+Of1y47+P7zzqumwn2T6j9Gz1dSFAb5bI6YimX21kty5az79Xir7Va4yqCVkY71+U3nkjUqWeTGD8EUAlgN8QUVJkHyLKIKIb9ZKgCSG6AfwXwNlEdLLyOADfhjTy/x/FITsBnEpE+Yp9KyBFTVKyBsAhANcTUbFi3+FQKTJEVBKLWKSs1/HYdQ3QqjeTfkRq5gDwvrPV+zDbGRnMLc7DsFMq4svVa/aZlimfM2wBUSuBmvq3vJ/yv0zBkOKE5doPD3lWt1RTEOzWIQp1DpJUH8XWU5DdmHJEYQbCC+y0gRdO9FFRGs1wO0PFpBdCiEZIDsOtAN4loseJ6AYiuoaIfg5gM4ClJqf5AaSwoS8R0S+I6EZIoUU/DuAuIYTSb+B+SH4KLxHREiL6MYB3kexH0A3gG5BmAN4hom8R0fchhUzdpSr/bAD7ieheIrqJiL5CRH8FcC6Ax+y1CJOqeKYcuOnMlR+eIG2WtYQZvfKHzi+P/z6+/UjS9qDtr71EjlykVhCWLluMzOxMlJ8zMb5v5YvbsPbuV1C72cz00hqp0kZRIcgZKjt29VH2K7FSN60ZEa9mCpxmMJbrFSRWZlD8xK/kb14eHwTcL6YuQohNAGYA+Dkkk51fArgP0gj9WwBONkqCJoTYDSnE6PMAvgrgtwCGQspH8C3VvqsALAEwHFKo0ksB3ABp9kF93qcAfBZAD4BfALgWwN0A7lHtugFSluePQDIj+i2AaZAyO99g3gJMOhCZmQM/O0Mvzp2Z0xv1tae7Bw1VdUn7RNm0yCg3gtl6pd8BAAgBVL6wFU2H6tWHOSJVkphZqaOf9VTO+qQDqSCkOUHruvSigqkJ27RIr3w7z7Vf1+DFu+XHO+r2fOrZpSj0dYw7hBDHhRA/EULMFUL0E0LkCiHGCiGuUWZOFkKsEkJQTMhXHr9DCHGpEGJA7NjpQojfCyGSHIqFEPcLIcYo9ns6lp9Ay9H4b7F95Pr8TgjxcKwOlbF99gohviKEmCSEKBJCFAshZscyO3d531pMFImMcgAEIwBaHQXV2q//hEHx3zueWY+24y0J24P4sLuNVuG0jlMun5fgmA0ARzYccFwPLVItNn7QH3F5dDuo50wmlYSVsIQrrTLldVYVg6iTSs9B0Lh97lgpYBgmSkRKOYg6Yz6a6EP04SPvoLsjHEXaiZJgFP3ETOAsHFaCaV84GZMunRNfV7fNefQiPYyErCjgxKE6FQnzOr0aIQ4CPf8i+bdZdKd0xctQsn2VdO9jGIaJLn1GOfDCcSwjKxMzrzs9Yd0H976G4zuSfRCijtMR6LyywoTl9fe/jqbD9RBCeGbuohRMo64sqPEqrn5fEKr8vLdaWZu9Rq/+UX4+g0Av54QX9LW25eeJYZgwcKwcXHm52ofFOanU+eUU5WLq509OWLf72Q/RXNMYSPlht1V2QQ5GnjEuvtzV1oltT67Fpj+9jd/deUGINQuHsO9HOuJ3yNCg8EpZTiUfE7NEdX1B6WUYhkl1HCsHjz95o5f1CAS7woPeh6xgUBGmf2lBwrqtj7+PjsY2x3Wzg9Xr8EuoGDhjeNK6jsY21O+p9aW8qONH6NqoCbp+4dd1uh1xjVKW3nQzSXKjIKSCcsFKEMMwqU6fMStS4kV8/bzSAsy9aVHCuq1PrEFnSwdq1u1HzQf70dXW6aaapli5Dj8UhKy8bEy4ZBaGnTw6YT1RUnCEPkUYQoE6XwWTiJ/Raay2e7oJ916g26+mga9CX1HsGYZJX/qccuBlx52RmYFxF82IL3c2d2DD8jewf/VO7F+1Ezv/sd6zstSE/QEqGTMAg+eOSlhXXFEWUm3Cx0thJuyZoTBJJaHQSOjviyZFXqPlu6D3Ox2UCiPC7u8ZhulbBKIcpOIHzmpnXDp2IDKyMzW3tdY1e1mlyNFQ2ZvroWBwv4RcEEGQjsKAUyEgFd8xIFhlwKoAabTd6v0xigxmh1SbdfAypKeVZGha90p9n9XKg5/PnLpcL2EFgWGYoOhzMwdeQxmEmdeeprltyJxRmuuDwu+Y+NmFOfHfLUca0dPV7VtZRjj9CEdNubD78Vfe21QTIsPAi4hljDGykuplYjCjdWaYmS95jZcCfNjZqhmG6bsEMtQrCy555felVOemlwxNTVZeNqZcMR9bn4gnPsSoM8cnmd2kG8XlZcgpykVHUzsAYN09qzHr+jOQXZBjcqT36D1b6mReeiONYT+XTstnpcAeZu80Kw3O0MrnoPdMR6GNnSZctHKc8hlz27fcfNPKhDaNQtsxDJP++D5zoBz9CFsAc4qVDvnwu5Xx35k5mRgyr7xPOOgqfS4AoGZtVUg1MTcfYKEwWKyYOoUR3SmofkhPcUtHJ3LlLKV8fXrXGGTsfnU5dsrWG0hwcpxTWPlnGCYMfJ856Cudm9LvoLsjHPOaMCgcWozJl8/DtifXAgCq11ShbNIQFAzu52u5URPmZYHDjYmTW4FJLtuO+YxfQpp6xNOsDl7lNrj5ppVYvqLS0nWp29zLZ8rO9acDypkDtZJgtR3Us3xaqJ8VqyP5TrHzXhuZMDmpQ196fhiGiRbsc2CC1Y9D2eQhCcuH3tnrW52iRtGwkgRToi1/fR/dnamnIIXtg2C3fOXIrF70lr7G0mWLHQuMdgU4o9F/LcFOS4BOF7y4Jq9zhbhFWQ+jjO1BvmtRaRuGYdIbVg5sYPQRKB07MGH50Nt70dPdE0S1PMWpuYPavOiD369Gd3tXwrojGw6g6tUd6GzpcFy/IHDzoffi421XuE/3pFJ+Yfdeub23UVcItEzy3ET5caIwWIlQFCWiVh+GYRgv6NPKgdWO3apQMOfrZyYsH9ty2HadUpWi4SWY9sVTEtZ9cN9r6GzpQFtdM6pW7UDVKztwZP0BbFj+Buq216D1WHqGejUaZbSL1jOqNNfoy8KJ16OoToTfdMGKfX0URq2DqIMdnxA3/gtuaK/+pafnYxiGUUJCCHsHEM0FsHbGtaehaFiJP7UKCD+i1BzdeBD7Xt4eX55/6zment9PlB9Ep4JP06F6bHtqra1jplwxH4VDi20d48XHNghBwyuhwCwSkxfnt2sm4zV2r0fv/lmxc9fax0r5yjKD8ivwUkjXq7Pdaw8Tq+1hdH/U29TPvpv76kWeDDOaDtdj04NvAcA8IcQ6T04aQWR5408VgzApL5goeNvbOnBN5VEgzduWYYzo0zMHgPcjOgNnDE9YPvD6Lk/P7xQtwU/rg+jWdrhoeAmGnVJh65itT6zB0U0HHZdplyCjpXiFlqmHEcrZCyszGWbncxJhx87+Qc+AeCHUp9LMgdH9C8J8zUu8eHfVTtPKdfJ6P4hKGzIMwxjhOFpR7tDvIa98umdCVhix5t1ESdGDiECZBNEtzchUr6nCgClDkT+wSPMjFBRBllk6dmBCaFcAyOtfgEEzhmPwnFFob2jFkXUHcGTDgfj2fS9tx4ldtZjwyVm+1i0dnjErZcqonzmj+ixfUZl0vPIcdlm6bHEoz3xUhXYnMw1ePTt699aL84cdmUnv27F8RaXpd8WPemsFsQijH2AYhnGKr6FMrQr8YXaafgiLc284Cx/c+xp6uiSH5GNbqzFy4fjICS1e10cpCE7+7Fy0n2hF6fhByMxJfMzySgtQfs5EDD9tDNbf/3p8fX3lMbTXtyK3JN/TesnIpjNWr9tMsA1D8LUTmtQozrzW+fTeBTfXpxyhNTpP2MKT32VHMa+BlnmO03YI+l2wUlcn1yMrtF5ch1aOBYZhmFSgz5sV+QFlZGDSZXPjy3Xba0KsTTgUDS/FgKnDkhQDJVl52Zh3y9mG53ETLUWLMBS0MIQCq/4jXjpPG+FHuwcdrjWdhTt1GNFUNL3TI2qO5jyDwDBM1PFVObD6cQnrQ+RnJ61MAtbR2A67jt9B4PVoppOPKhGhuLx/fHnHM+vjoU6dZij16nlK5Xj0XviP+IFZ9lwrWLm3XmchdusEHCZ23yN1fH/1cXrHevGs2emT/U6A5hdhz5IxDMOY4XuG5Kjid+dMRAnLbceakT+wyNcynaIeZXYTtcjK/upMvvkDitBQdRwA0F7fiu1/W4dpV52ie7weVmKkey0sREX4jqIQpIWT9lIKU1YTZdkpJyjb8Cg8K1rXZtfcTj6PX6Fk7Zxbvl9Gx6TKu8EwDBMVImdW5NRUwM4xQY3aDF8wJv5786PvRW72QEsRCGKUU/2xHn762MTtx1vQUHlM93in+SnSUTHwe9bNyfPg1TOkvDb1dSrLcDNL4GekHq9nLwBvn2Flm7p5972aoXJzbddfUuG6/KDh2QOGYaKKZ8qBlwKBU+wKjX6PKKlDenbUt/lanhvUH3elI6kfKNs+MzsT8245G4VDek2xDryxx9H9UQtkQdnUm+F1Hfy6JrXQ7VTos/vcWDV9Ud5fZTI4rxQ1oz7EjjDnZdx8t2g9J1oRdYyOD+r9cVJO2O+2Xfwe/GIYhnGLK+VAK+ShF6NlQSoIfkIZiaZFzdUNvpdpF1mwUgpagL5w55eyQEQYNGtkfLm1tgmAPb8VGXW8cj9GcJ3ixXMnn8PLa/OyfewK63qmLlptpafEythtD6P74eZe+WF/79Wzo6UYhB2OVImT67RS96j0AUqiOOPNMAzj2cyB0gEy7I9MlDrRrLxet449z21G9Zp9IdYmEa3RTSvJ0vz6yIrunvjvAVOHxn+bCQvq7L5aPhNhP5NKvBDy/LgHYYx2O3lXlf2MUkFy2iZGI+tucNIfGl2HWydupT+Fut316qi3v532iZJQ7mciP4ZhmHTBsUNye/UvkT2sxMu6uELtSGjXYc6vJGwTPzMXWx57L7584PXd6D9xMHKL/YnlbxUzQVA9g2CkIHglRHY2d8R/H9tSDdEjMPZj0wyP0XOmVMZdtxprP5Xw8jqsxKgPsu3svIfq59TpvdZzRA46soxRna0k9TJCT9D3av8oEyUhn6MVMQwTdQJxSA6rIww6DroWBYOKMOOa0xLWbfrT2yHVphct86EwMzgDwOA5IxMSoNVtq0HToXrd/e2EtIyScAAEZydtNLJu1Wbfj7YL4t2Mgh+UH+WG3afZJWoKedT6Aqt+H1b3ZRiGcUtg0YqC6NS0otNEwVkttzgPEz8zJ2Hd3ue3uIpe5IVwpVQQrHww/f7IZ+VlY+rnT0pY11wj+WkoHYuV99WKKYzaByHVcXrftWaHrNzTqAl3Wvhlzig/L1HpS9yg9Q755XMRZew8J1F69tPhGWQYJjUIJM+BlVjUfpQpE2S5ehSP6p+wfGxLNQoG98OQOaNcndfttRnlNbDia6C3v9OPamZOFoqGl8RnDPav2onswhyUTRyie4zVstR1jdKH3y/0rtHu9QfZVl68r2Y29ErUZh5h9xVKtExQolS/VKEvvOsMwzBeEdjMQVCjHlrlaGX5DIO5Ny1CdkFOfHn/qp3o6ep2dU67fhVaWB09NosU45XzrxypSGbPs5tR9eoO0+PaG1rR1daJn31rATa/uQo93b1tq6XERNXkyAgvsz+HSZCjoPLAhN7zb9QfhN1OSvxsM713gEernZNK/QrDMIwSsmvaQkRzAaydce1pKIqQQ7IdtEYmg5pd6Onqxoblb6K7oyu+bvpVpyCvrDBpX9HTg46GdggI5JbkJ2VdtoPdkdEw47QfensvDr2zN2l96biBGH/xzKT1QgjsX7UTR9YfiK8rKizDjEXnY8nvH9F1VjbD72t2oqSqIzO5zWgdFayOjjvJ5KvGzH67LwjDeu+AnkO3UTsyyfj9TjYdrsemB98CgHlCiHWeFxARZHnjTxWDMCkvx3R/L9je1oFrKo8Cad62DGNE5DIkpzsZWZmY8KlZCes+/PO7OLrxII6sP4COpnZ0tXVi+98/wNqlq7Dp4bfx4cPvYOMf38SJ3UfR3Wl/psGKEKpOLqUkaIFz+KljMPfGszD1c4n+Byd212LHP9YnrKvbUYMP7lmdpBgAwKZVL6ClMTm3hN3Qkn7hZUhTv5PW+YXapl9rpFo9u+M2pKfW71TBq1nPVFUi/SbV3h+GYRg/6LPKgdWMrH5QNKwEky6bm7Bu38vbUfXqDmx84E2sv/91NO4/nrC9s6UDu/69CR/8fjWO7zxiqRyrTstGOQLCEiIysjJRMLgf5t96TkLOg4Z9dajbXgMAaNx/HHue3YweRX4EAGhqrov//uNDn3VcB7WgEJVIIXrx8726X15ep5lJjx2HaLfRtNTJ44z28YKoJadTI7fj8hWVWL6iUrfMqDz3RnjVTn46tXtJ7tDveX5OhmEYmcgoB1EIOxok/UaUomBwkaNjd//3Q3Q0tRvuY9SWqdbOYy6YCigsqo5trQYAHHxrT3yWAADGXTQDc288C0CvgqBnimUnQZVydDtstJJXeS3Q+HWdbp47pwkWrUTlUe6nRZRGk7XMIZ22q/q6Nj7YG2I51WYWgq5vlJ4JhmEYr4mEcqBOXtZXmHLFSZhy5XyMXDgOZRMHI69/AQqHFiMjU7otQ+eXY/6t52D+redg9LmTEo798JG3IXp6tE5rCWU7q7NbB2miohRujO79xE/Ojv+u33sMh97ek5ADYe5Ni9B//CBQhqQMyErD17+6wrQORoKn37MnUVA4gOCEHT/fbyfXoGfGZPQ7DJ8V5QyM18nJ2qqW4PpLKjDz2lM9OV+6E4VIZ+3Vvwy1fIZh0htXyoF61Er9AfNiNsAPYSIqAhllEAqHFGPo/NEYe+F0TL96AaZcMR+zlyzEjC+dipELx8f3HTRzBGZdf0Z8uaezB+vvfx31e4/5UjcnQrEbAdPMITx/cBFyinLjy4feqYz/7j9hcFyhSphiAPDSX/5oqx7K6w5bANBDfidSbfTS7XtndL12BDYrz7aRn4PVcpxEwlL3mUuXLXbUB1op2yz6mFwfJ2WnM1aeHTv76x3HMAwTFo6VA6XNo/KDZjXBjhL1vurz+YFZuNMwycjKRG5pftL67IIcTL58HmRLme6ObuxcsSFuZqPET0FMDz+F6ez8HNy9eg9KSoegqLAs/tfUXIehJ42O70cZhLKJg+PL/7r7Dtyw5N+2y4uqYqDEizr6nRVb3RfYfS7Vo/V6mZ7tmIe5weo5nJSlN4Oql7jMqC3dJLiz+ixoKQ4s4LqD249hmCgQiFmR05CNTC9yGxYNK8G0L56C/IG9/gp7/7cFx7YcTsq47CZGuVfCopcfu4ce+wLuWVeJT9/2Y2TmSGHtCof0i/tuyGWNWjQh4bjX//aoZ3XwGqczY25n5ZRKQVRzPdhxjvc7w7edLNtOw1iGmVMgFZThVCUqoZMZhmGs4qlyEJVkY+mAkY1xXlkhpn4+Mczn3ue3Yu3dr6LpcH3SubRGHoMSQow+eE6eDyLC5vp/YcwVE/CVux7Enc/vxC03P5ewz7e+9zLmfewT8eWn7vgBmmsabZUTRWHZS6IU+lTLhMdoRkPPHMaJkqOX9dvNiLrZ+b0kiknKWMhlGIZJbRwrB+3Vv7QlbJoJgn1FkTDKymvFT0PeRkSYc8NZSdu3PbnWu8o6xK5ApH5+jI6XBY+s3Gy8tvX3KCwpjW9bvqIyfuzVdyxLOO6wRlI1PaIgMFvF7exB2P4VWkqAUZ2szHTYuX/qJHJm57Dri+Onf4LfWHm2tKJn9XXctkHUngOGYfoeWUEW5rcfgVuCqJfaPEEZX9wumdmZmL1kIQ6+vhtHNx2Kr+/p6kZGVqabarrC6sdRr72dOPD1OjRL67Kys3Hn29vwzVMnAwBO7Km1dE67dYgCXmT3DisCix9lmpkfaW3XMmFy64+h5Uxs5iegRRD3xo2S6XV2+aCy1TMMwzDaRCKUqRq/PwxRmaVYumyx62vNys3G6I9MRmZOrzIgeoTBEc6JUlIn9XnkdlQKUXmFiXkkuto7LZ07lRQDGScRwtQj9F6OWNqpi1MHYzVOHHCNIsvYnSWQr1VOKmZHMVDWxSi8qh+jylHpD5VEsU5BEsWZJIZh+g6+zhzIH7godvRao1NRGrHSqofS90C9vbujO/676pUdGPPRqZ7XyY3Q7GVUHKshGm++aSUK+5eh5sAuAMChN/eg/JxJRoemDXafZT8Sqdl5790KQm7No/TMi+yijjJktw5665XCopczCV71zV72nXafnShix4GdYRgmagQyc2DmqOzmg+oGTWffkD9KRv4bRm0zcuG4+O9jW6vReqzZ87q5we9kYnqOpd9/+oX48tEPD6Gnuye+fzqOzil9gMK+Piu+SE5jwnuF1bwWeg7TRnjZ9uoZDa0cM3bxq69T5uEIuz+NAnZ9VJxmA2cYryGi24nIH1MEJtKEZlak9dEIUjE4tfawbl2C/qDZiQGvJ3ANnT86YdmujX0qYSeSzKN/uxYZ2ZLJlegWqH5/X3z/KEXs0cOL6FJRvj7APBmXUpGTR83DFJysJgtTzkbYSUimdYxy5k0r8aReHYJErbC48aeSz8cwqQYRTSaiR4loFxG1EdFRIlpDRHcR0bCw62cGEb1KRCvCrgcTLpHNc+AnbVVL8PZA83c0yHp7oRgVDi2O/84vK3B9PrtE7T7LDJzae69bVCFN1c6nURKk7SbqU2+PimmDlehTRgK/l4qA03YwU2CM7pXdZ0vLxMmqQmT1HfT7XfXSXCmq/QrDqCGiBQA+APARAE8DuBHAnQB2ALgOQKTtWomoP4AzAPwntuoOAP3CqxETFr4qB2cX/AiAvlATRCZkJ6izNacKzdUN8d8lYwcGWnbQo5dmjqVKlI7IBUO0+7mwQ3qmOkb33QslxUtfFS/MrbSO15rlCWKWw2n2aYZhPOdHALoBnCSE+J4Q4gEhxK+EEFcCGApJcYgyiyHJhf8FACFEhxCiKdwqMWHg+8zB2QU/MhQcopLER+vDHoV6WUXtY0BEvpWljozjt0JgJea8ngAmenpQt60mvjx4zkjvKxggRs+knmmL8r8fBKkYmoUhtRslyUtlxciPxWqGZyvZl7Xyyyj/p1tOmVTqh5m0YjIRzVX9mZkcjAOwSwhxQL1BCNEkhKgHACK6mogEEV1ARD8kov0xE6Q3iWiW+lgiGkpEDxLRYSJqJ6KdRPR/RJSt2Oe62DmnKdbNia3brzrfd2Prh6qKuhjAe0KImth+mj4HRDSDiP5GREdi9d5DRH8kon6q/a4ioveIqJmIGonoRSI61aQNmQjge56DtwcOw6m1hzXNeMLs9JWRlOwmcIvix+rIB73vfkaWfzqfmWDhV9sYRWgxFHxVSpLo6gFyvayZfxg9m3qRwNQzcXnl97m2/VbiJlKOm9F6ZbnKdtGrj14oUC9Rl+1V8ivHz3qMKPZPdkmHiEWMd1xTeTSMYv+qse4nAG43OGYvgLOJ6DQhxFsWyvh57P/vAOQB+BaAFUQ0QQjRBcRNfd4GMALA/QC2QzJb+gmAmQA+EzvHqtj/RQA2K373ABhJROOFELsU67cLIarlisQUjQsA/NqowkS0EMDzANoAPABgN4CRAD4FYACAxth+vwXwDQDPAPgzgAIAXwawiojOFUK8Yd48TFj4OnMgKwR69v1Bjj7rYXckVl4fNVvY9hOt8d8jF44PsSbe48pxWDXmkZETaN4/15g57uvNvPllsqcWTpVlWCnHixkMK4K/st2s+DzYxY6SZGWGwmmEGrvvRBh9VpT6SadEyReJCYzPAZin+ltucswdADIBvElEHxDRPUT0OSIarLN/JoDThBB3CSF+CeAaABUAzlfs893Yui8IIW4WQtwnhPgUgD8A+DQRXQAAQoidAA4BOEtx7CIAzwJoiv0GEWUBOB29yoTMWQBK0OtvkAQRZQD4E4B2AHOEEN8RQvxRCPF/QojpAPbF9jsJwDcBfFsIcakQ4l4hxG8AnATgMIDf6JXBRAPflAN1eFKjqfAoYVfw19s/SOWhp6sbzUd6HW37TxgUSLkyTu+j0yRZdqCMxJmD7jZridCihJU2CtM8z2q5TgRxZYQiILkt9ByDteoUlj+JXaGf/V6iB9+TPsk2IcQ61d9howOEEK8DOBXAU5AE+hsAPAbgIBEtU5oBxVguhFB+lFbH/o9TrLsYwG4hxFOqY38Z+/8J1fFnAXFBfiGAlwC8iZhyAEnJKVKUpSxnrxDiQ4NLnA1gAoB7hRD71BuFEPJw3BUAOgE8RUQD5T9IsyMvAThFbYLERIvQQplqfbzDisvu1UyA1nmCUBBq1u5Hd3sXACArPxvZhf7ZzRiF1rQqJAapOPX2VRLZRSliU2SCXvtpCcd+tnWQColW36A1gq8XtcmrnApB91Fmzt526hPlgRk9lNcvhPAtA3zYpMMMCwMIIdYIIS4HUAYpOtESSCPqNwL4nmr3StWxx2M/yxSrxwDYqlFOFaQZgTGK1asADCaiqQBmAegP4FVIisCi2D6LFPsquQjAv/WvDICkGADABpP9JgPIBlAF4Kjq7xoABCDYqCmMLUJTDmTaqpbg1NrDuP6Sivi6ID++QXTIfpdRX3ks/nvUmcGZFLl13rY72u1EmDvw2q7476LhJb46agdFWH4fbnGrFNrJb2FlvzAjJ9nB6/upVBAiExDieAva6prR1doZV+jVdTu25TDW3v0q1i59Fcd3Hgmrqr7CCkL6ICR2CCHuB3AKgHoAV6l269Y53M6HSqkty7MBZ0FSAo4B+BCSIjCCiMbHtu1QzoIQ0UxIMx1myoFVMgC0ADjP4K9a92gmdHwxwLbbwb3a8jPMRO+H2quPrxWb66BGWK04PjulTRGpqKerx5cy1LhpK7vt4PR5aD3WjJp1vY7aIwNUnLxGfn60ZqWcZNQOGnW9ndZNy9/AroKgTi7mxM6fzUy8Y9/L23F048GEdYNnjcSRDQdQNKwEI8+8EoXDSrDvle3x7bv/+yGGzi/HkLmjkF2Y62v/qoWfz0DQ18L4jxDiGBHtBjDNdOdk9gKYol5JRKMgmQftVZSznYgOQ1IM8gCsFkIIIloDSVg/F5K/gdpE6SIAJwC8ZlKXnbH/syDlcTDa7wIAHyqdnpnUwdeZA6NRqZtvWomzC34U/5PxWjG4Fiscn0PLTyKKlJ/bm1el6tUdIdYkeIxGfw++uTv+O7c0PyFJXCoSdlZxKwTte+Nl/gOv9ktF/H6O9J6BrvbOJMUAAI5skCJBNh2ux7an1uHA6l3o6Uwc+KheU4XD70lmz6msGEQtuAXjHCL6CBFlaqwfC0nATzIPssC/AIwjos+o1n9XsV2J7HewEJJJEWJ+DW8BuAVAMZJNii4G8D85QpIB6yEldPt6TDlJgHqn5h+P/b+DNKbrDRy0mYjgeObgysvvwb9X/zBpvdUIKctXVAKKKEZvWwi3qHZyNtsHAB7EJcgrv8TWx8OLkdggO/vS8b0OyKJH4EtX/hkPP66evXSPckRLOYpt5b5YxcsPb1drr5/XkLmj0sKkCIieQqDE6kyc/CyZ3W+7NvVWUCdlM1pWE7VZg6jVxypCCDTuP47d/zXyfeyl5oP9muvbVPld7OBmhN6Ldk8FZZ+xzd0ASonoX5DMeboATIRkTpQDIFloMufXAD4L4HEiOgOScH4OgE8DeEYI8YJq/9UALo/9XqVYvwq9oVPjzsixXAcnxepuiBCih4iuhRTKdD0RyaFMh0MKZfoJAJVCiLeJ6P8B+DaAqbH2qAUwCtKsBkFSXpiI4lg5ePzJG1E0rER3u9fCcRDCtpcdc5BxujMyM5Bbkof2+jYAQE3lbpMjnGGlfbyYEndiKqLFwGnD0HSoHgBwYPUuDJw+HBmZobvZpDx+hEiVFQA3fgV2ytJLDmcUqtWL8qxgVKZRO7nF7z5L2TccensvDr9bmbB9xpdPRXZRLpoO1SMjMwPHdx1BzdpkpWDaF07G5kffAwA07D+OthMtyCst8K3eWrhpf7NgAkxK801IQvJZAK6EZPZzBJK5zp1CiLftnlAIcZyIToMk2MuOzlUAfozeiEVKVsX+16I33wHQqxDsEkIop+suguT78JzF+rweS2T2YwDXASgEcBDAi7Ey5f2+EzNn+jqkWY4cSGFM3wfwiJWymPBw5XOgHNHz0hzIbPQxVTrRIOuZW1KA9vo2FBWW4T+v/h8yc/2N5+/XB07vOXKidAycPhyVL24DAPR096CjoQ15/YMVItIZLxRBeWbAjxmCqKC8NqPnW2udVuQlZVQ3r5UEpwqCup5GOWJa9lyfpBgUl/dHbkm+9HtUfwBSAIH+Ewbj8LuVEF09KBxWjKLhJcgfWISs3Cx0xSK0ffjwOxh/8QzkFOcjf0BhUvhiLeXMa8d4t6TKN40xRgjxPKRRdbP9HoGOgCyESJrijjkPX2OxDtug4dAcSzqmNX1+MYDXhBAnNI65HRpJ34QQGyApQWZ1eRrGvglMRHFlVhQ0djMZ9xVaa5vQUFUHAMgoE74qBkZt7NcHTl2m1ZHYm29aia8+PgjNNVIOiMycJFNQxgFe32e9UXy/sFqOWU4FJ2Wqn12zPktPQfALLxQDvXV55feh/Xg11t2TGF590MwRGLVoQtL+AFA0rAQTLpmVtH7wnJE49E5lfHnXvzcBALILcjDr+jPi69UKp5ZPjB/9lrocrchuffV7xUSO1yGN5jNMnMini5VHssIaWXFatt4oqB8f9saDJ+K/+0/0x88nDKVAqwy5Xa2MnC5dthgFNADNaERRYRmy8nN8ryfTi99mKlqCtp/Pop8mPUYE1f95pRho0XS4HlufOBnN1Q0J62d95XRHeVmGnVKRoBzIdLZ04MNH3sH0qxfYPqdXWJ0FsrOdYfxCCPH/wq4DEz0irxwAqTflqqUY+ClQHN/RG/NbPaXuJ0EJLGrFwCp122twtLoSAJA9Ist220Txgx21+tjBrxkHJX7fM7fvcVSdh+0qBnbaWCtUKQCMXTzNccJGysjAvFvORvPhBuz853p0d/SGi2873oI1d72CwbNGovLs9aiYMTuh3l4GUFBix9TSiQLBMAwTFJ4qB16NEup1kmb+B35M17rprIOwoxY9PWg8cCK+XDSy1NF5zEZFlW0b5AfMaVmN+49jz8peX6yh88ptHa+OxBSVj3ZUBYiwcy7kld+HU2sP49WWn3l+bmXdvY4OZDaarMaP6EReKwbKOvZ092gqBhXnT0HZpCFJ9bDznBARioaXYM7Xz4IQAhsfeBOdzR3x7Uc2HMCPLl6Az/3gt7bq7xQ7GeKNtkXx/WYYpm/hOHTL40/eCEAKSbp8RaUv0Ym0Ej6lAupkS1rJl7xCGa4ThHjUDtHTgxN7atHR2GbpPEuXLbYkdBh9uPxWhCzX8UQLtv/9g/jy4FkjTHMcyM+bHzHH09XR1ipBmZ15rRho5TcJcuRfq93CnnmwMou3dNli9HR1Y89zm7Fu2aqEbfNuORtn3LUNIz/2z4T1SmXcTHjWgogw/uKZSeuLCsvwr7vv0D1fGFhNyskwDBMWrmYOlmvkJvA647AThz21n0IYikUQIRkBaQpdZvCskejp7kF3Rxd2/2sjmg5L9r0Dpw3D4Dmj8L2fvearcOHk3MpINV6ELwWA/at2xn+XjBmAUWdPtF0vNW5G9PpyJtWo1s+u/4BTBc+s7zFrn7CSkxnVw6gthBCo/fAQ9r20PWnb1OseQP7o3tDmdvtls/0LhxZjzg1nQfT0oLu1C5sefhtNzVKghq62TmTlZdsqz0+i8I1iGIbRw1efA68VBT1SQUjyC6W/QcuRxqSROgCo3XwYtZsP4889t0AMEoH6JZjhdaQa0SNQv/dYfLnivMmWkp8FmZfCC1KprulA2CP2XmPn+dELp6rm2qsex7c+NjE+KKFk/MUzUDbVXs4jJ8JzZnYmgMykd/7opkMYdtJo2+X6iZZJrJKwHOAZhmECywilNUXvd3leEWVBrOVIY/y3nPBLj5ce/wPOmPRVv6sUKrWbD8V/5xbn2XJ4NLKXj5LyGSVzOz/MsJxgNrKv3u6nqZ8SZUZxrT8nBNHmZnWU26/laBMOv1uJKf0uwrdOnxpXDIoKy1A6diBmXnc65t96DoaebS/UuVUzIy262jvxwb2vJa5r6dDZ2zu8fJb6uikiwzDh4unMgRV7dPmjEgWBwgpqx1SZqAiLBYOLNUfqAKBs4mB0NLaj6bCkNBQVluH+b38RM687PcgqGmLlubDT1sqMqoNmj9Tcx2hkUD3bFZX7bAe/orEYlaNcF0abWRldVddNmVDMz9FZr9vD7fncmjrJ7VW7+TAqX9gKAHj0rVvj2/MHFmHE2aPRb2R/S+V5SVdrJ9b/4fWk9YNmDA+sDl7BMwYMw4SFq5kDqx8p5SiIXyMiRhk5/SovCgrOyLPGJywPX1CBGdechvm3noOxF07H5MvnYdoXTgYANDXXoaOpHT3dPWFU1RQv7qHSB0MrQpGesme0X1TutR5GMwlh1DuKbaWnfFp1ck8XjMJt2pnN+MxH74wrBmomXzbXsWLgdpaues2+hOXBs0Zi/q3nIK+s0FYd7Nbb6+9aX3omGYaJHq6UA2X4wiiMsNqJM+13mUGRkZmBcRfNQL+RpRhxxjgMP3UscovzACA+Kpo/sAi5pfnxY45vr3FdbtjXbYXW2ibD7alwDVYJWoGxqlz5Vbad8/cVEw2n12m3f6zctB4//9S5mtvGXjjNUoZ2LWXErXPusS2HUb2mKr5cNLwEo87WzrzsNX1NyWQYJr1xrBzkDv2e5X2D7Djt2mOng+DQf/wgTLp0bpLDnbLd+40oja/vUMQCd4rXCtfNN620HPPd6J5VnDc5/rtm3f6k7VbqHfQslJ9cf0mF5+cMsx3cvN+yMJqK99EKdkMROxnUaT3WjF9fsTgeBSi3NB9zb1qECZfMxNTPnYSyiUN0j9VSCKzOdJnV8/iuo9j7fOJMxvhLZloKRqBH1GcMGYZh/MJTh2QzQTsoJcFOp+42tr9cXpTQug8N++riv1uPNiZtTyWM7ln+gF7zgeM7j+juJxMFMxy/8EMxCBO7fj+ybbxeJmXGHt2d3TjxWq/DMQBM/fzJyMjMQMmYgSgY3C/pGL17pNVH6/kbqZ26tdj9n00Jy7O/uhBZufqhS9NhUIhhGMYvXDskR8GcyC/MHDujlj1XRksYGn7a2LiNcN32Ixg8ux65/fORnZ8TdPUMcTuym5nfKxB0d3RbOsZJrPdUIcxsul46JzsJCGCU7buvKwd274sQAnuf24yuo5K/UlNzHWZed3osdKj18tw6Q+tRMLgILUckM8Kxn/wxiiZdYXg+NgFiGIbRJ7BQpnaJih+DEUHUT/YbcMvAacPivggAsO2ptdjwhzdwZP0BCCFcn98p8siu8mPtKsxjLEO0TMtRY78Dq0T9WQyCsJybnUYKU783ahMjO8emE06e5bptNTixuxZNzXVoaq7DrK+cjpwi8zDBVkOSuu3vZQdoAKjb8kZS+Xbo64ojwzCMp8qB1dGYVO581UKD30Kjl/HYRyvs8WWqXt2BtXe/isPvJ0b5SNV7pFZ0sguTZ0bs3rNUVAzSwaTITVhb+X1x+t7wyHIiB9/aE/89eNZIy/lDrGSA9uL9Gjq/NzJZ/a41Cf1AqvZlDMMwYRHKzIHRx0ArgkVYwllUZi+MBBV5ZsGKEFRcXoZRZ2lH7zj4xm7Uba9B+4lW5AxfGlh2azuY1aOrrRO7/91re1w6fhCyC7TNpqze2yjcf7+x+vykUlso35kgchmkPQqdWx0+2QwrOUXccPNNK/HN774UX6aMJkeOyOrZjaj0/wzDMEETWbMiNXay16qd2LxELWA4GZns6erGkfUHcHzHEcsmPXqCjV0n7yFzR2HeLWdj7o1nYfiCioRte1ZuxqaH38baX5yMrvbOhG1RUBCM7mVXWye2PPY+Tuypja8bfkqFq7JYMEgklU00+opi4EeEna72TnQ0tgEASscNREZmeJ8NrWtbumwxfvy1ufHl4lH9k/Zxcl6/w/EyDMNEFce9fHv1L10JT1rHWpmCVmNmx+o3ToSOqld3oOrVHdj97IfY+c8NniQls1MPIkJGViaGnzo2IcSpTPuJVtRtrY4vGwnKUQj3J4TA1sffjwswgORjoRU9RU26KgDLV1Ri+YpK0/2CSFDoFC2l3wl9STEAvH+mG/efiP/2wofHqeJt1M+c2N07KDBw+jBP2sCvvsFqIkaGYZiwiMzMgduOOJWEvJaa3lCiDfvqcGD1rtDqMmrRBBQM6YeCQUUJ6wuHlZgeazfmvBuM7m9rbTPa63sVg1lfOR0V50/x5NypjBOnW68VhLDaVr6OvqIYKPH6XWw6eCL+u6OhzXYAA7Oob3bOoXd8Q1VvqOYMixGUlKjDpQbx3KZrv8MwTOoTCeXATidp1Hl73ak7EZSsHJOjiBoEAEc2HEBPd08oI7cFg/th6pUnYernT0bpuIHx9Q2VdbrHBJ0kTH1P1bMV+QMSIxRZdZZMZ9xE49HalmqjnH0pY61fs3fyczBk7qiE9Uc3HHRULz+F4f4TBsd/a81uWGmfIIT1VHuPGIbpm0RCOXBKUJGCnNJc04DtT6/D2qWvYtd/NqHpUD1qPzyEeoVdvMyB13aFLswMmjE8/tssgZiXMez10FL2tD6uVvMZ9BWsJO2zYnKkxEn0IyfPh1IxCUqwTEVkwdsvpUAZ7SmnXx6mXHlSfES+6tUdaK01Ni8yCj/rdBDE6BnIV8x8dtS3Ojp/kPDzzDBMlAlVOYiyXahbjm48iK2Pr0HjgRMQPQIndh3FtqfWovLFbZBn5YuG95ruHFl/AGvuegXNh+sDrafyI37o7b3x3wVDzO31tRQEP0cwtcoHks0Iulo7tXY3RB0hy0r5qY5dBcEJfgmwSuE4Cn4vXmHlOvy+VnmQQjn7UjikX8IMwr6XtsXrYpTpWEvBtzsIYjYQ0dnakdB3lU0eEjnn+XR6RhmGSX88UQ7cCk9R6DS96rx/c8e5OLrxIPa9vD1hfVFhWfwPAIafOgYTPz076fitT67FwTd3x+16/RZMT2y8Gh2NbTjwxm40K3whhp1coXuMOsypWgDw835qKSMZmRkJCZk2PfQW2o63eFamnjCjdua1e6/stJNXZnTqMq06LS9fUWnb/M/ucyDPaJgJnFHoL/zE7fU5HTBRzhZoPfPNh3oHLrKLEk0jtZxsvRq4MfQ3OtaMDX94A93tXQCA4vL+GHDKX22dA/B3JtRpEj+GYZiwcKwcXHn5PfHfZiNBeoJTFD/yburUcrQJm//8TpJiMOeGs9D/pAEAgOy8PCy56y8YvmAMMrIyMfO605POc/i9fdj+1Dp0t3d5amqkvAdCCFSt2oEPH34HGx98C9WKJGijzhqP3JJ8w3MF4fMBJAos8m+tMuRRzaLCMuRnl2DHM+vR0dRuuRwnwqfy3ihHWf1S6JT+NkYzHTJevF/qNrd6j6P4bkedMNtMqRBo9TmipwcN+4/Hl4dphAn22wxM673a/Jd3E5YnX/vfpBwHYeYzYcWAYZhUxFezIqVAF7Y9vRledNr7XtyaZP8++bPzkJmdiSFzRuEXL76PO15ai1MvuSzeNjlFuZh70yJMufKkhOOaDtfjg/tew5ENByyXbzb7Id+Dnu4efHDvahz5IPncg2eNxJC55UnrtfD7Q6cUBsyen8FzRsVnZQAgp6cAWx9/35MwsXbx+ll3MjugNZKr92wsX1EZ6vvJJhfJ90Zr2a82MksQ19nagQ3L34wv5xTlJkU38wKz61Mr32oTzJnXnY6cftIgjNWoQ0E9d5w3hWGYVCLL6YGPP3kjinTCXdoR6tKFnu6eBLOcsYunoXBoccIIfNmwEUnHyR/mwiH9MO+WszG5YDH+esdt8e1Vr+zAgClDkZljfqusmHKIHoFtT6xBT2ei0Dxg6lCMOmsCsvKyk+pmVqaVdW5Yumyx6Wg8ZRDueGkt/vG7n2HV0w+hqLAMnc0daKg8htJxgwAAx7ZWY+//tiQcN2jGcIw6e6Kn9Y0adu3YzWZA7ApUdvOTmJ3DiclS2DgZVXd6jVZMZOR328o7XvXyDnS19frxjP/ETMP6OX3/rRynnEn8wTUz4+tHnDYWxVP/5EuZTvEr7wTDMIzfeD5zoBYojIS6qHWabkZ3uts6E0auyyYNSTLNMbJdv/mmlSAibG99Dss31CRsb6iss2yqYiQ4tdU1Y8Mf30gI9Vd+zkTM/tpCjLlgaoJiYFRfr7HrVKq331/+dg2aRlYCAJqa61BUWBZPjlRfeSxJMQCAo5sOofKFrZbLiCp2/QG0UM8gWE2kZhe3ykXQoXTdYjYr4OZcTjFTuGvWVWHNXa9gx98/SIhcNuGTsywlF/QCMz+e5sMN8d8lU78b/x32d4VnwhiGSXUczxzIGHXeVkZ8U3EUUIus/Gw0NffmBmitbUL+wMSpdyMTK2U7PfDIFRgydxRq1u0HALQcbbQlqGt9HDsa27Dl8TXo6ew1exp97iQMmpk8myHXJyqzPrZt+AmAkBSE1p1ZqDh/CmrWVOnufmLXUfR0dSAjK8ddRX3AbydgNVqjzkoFwYvzM/5i55lRv+MtRxqx5a/vx5eVfgYjzxyPkgrJbMfrWQM1amd/ZT17urvxi0vPxzFFFvfsov6elq+FlRkZ9jFgGCYdcD1zoCdAGjm3aWFHaAg7tKRW+ZSRkRD+s1pDGDVKzKRe329U//jvtjr3kXf2v7YrrhhQZglGnD5WVzHQqk9QaJm3qNFzzAWkezP9i6fEl7s7uvD1r/0rQciZ8/UzMfmz85A/oBAA0NPVg7e/uxBVLzzguN5OohX5gbo91G2ldCzWQ2/k0+wd1bsnypkhLcdmoxm7VBGu9Ga/rMxyeKUw2Zn51FL+dz/7YYJioCSnKBdD5ozS3Ga3bCt1U7J02WLkld+HzpYOfOMT43DV+ELs+KDXB2LgtGHIgvVoQ07bmxUDhmH6Cp6YFWkJvVEQlIJGmUSso6HN1bk6m3sj7ZSMHZiwzYkg2lzdOwU/7/v/xJjPROf+WP2IWlFYli5bjMaDJxLW/fJ7C+O/88oKkJmThaLhJQntKrrrsf+FB1G/54PefW0IEU4y8vrlpGjVGdMOVhQDs2UtxcRK1CU79XCC17kSrJzP7nWbYfccSTMGR5twfMeRhHUlFWUoHtUfhUOLUXHBFFCGFAUoSCF46bLFyB11Lw6uegwblr+BoxsTszP3Hz8IFedPSYpQpIeWo74VzPpbVgwYhkknPPU5cCIgAe4/bG5wosTolT9g6rD479xS41CgZjQpY4oXJpq72Ln+zAF3YPd/P0xUVpp+DsB/Ew8vzu/kXnc2dyQs73hmfTzHRMnoAfH1w08dkxCSUXTXY9M9V6DtWKIAEiZRt1+2MurvhT8EEG2TJKvhMrVygoSV10BJR2PiYMasr5yOCZ+cjYmfmYMpV8xHcXmvP5XXio0ReeX3Yfff78Def/08YX1WXhYmfno2xl00w9a5jJaN0OqH0i0BH8MwjEyoGZKVeOl74PWokFWUmXndmgId29JrT7vznxsSnIgBnVjkQqD9RCuaqxsghEDd9hq8+6MFCQ6FpbHRcvmjHlTCMjsjqer97Cqdg2YMR2ZOZtL65tbjGKzI8pqRmYERp43F7K8uRE6/3iRqm++/ONDQg1ZHzL2+V0Fcn5syUm30NQzzKK/Oq/RFGr5gDLILc5P2UT+DViIiGfWtnc3tqPlgPw6+sRvVa6vQ3dEV36Z854+8/2zCcTO+dCpmf+3MBIXFDHW9vXy/U+05ZRiGMcO1Q3Iq47XpU3ZBNrLystHV1ommw/WorzwWd+Czy5iPTk2IrrPlsfcw9fMnoWBQP3Q0taNmbRXajregs7kdbXUt6OlKDE064rSxOLatGhCJ5x193uSkstyE3LOaWVRW/oyEC68UxOzCXMxecia6Wjqw618b4yFmP/n1H6Iq682k/bPyszH1Cydj/X2vA5CyrrbXt5omggO8c9xWKmt67am22/cCI6XMzrFe4kXoUy20nnM/lGOrz3EUZgxk6vcei//uN7I0abvXZjNd7Z3Y9NDbCf3Wobf34s87mhP2Ez09ED29isv4T8y0PSvrdXI2+R3Um0Hx4z1lGIYJEl9mDvzOFGsFrQ+vOgKG11BGBkrG9ioDu/+zCUIIgyP0GTBlKGZdfwby+hfE12157H3UrNuPjQ+8iZp1+1G/9xhajjQlKQYAcPCtPQmzF4NnjcCfthxHdkGviZKbj5ee86XbkKRefVCJCNmFuZj02XkYccY4nHThp3DxTd/Rve9ZudkoV+Q7OPT2XkvlWFUMerq6cWTDAVSv2Ye24/qzSm1VSyCEwPGdR3BsWzV6uroTtvkZ3SuqwozWqK/X55XP7Qd++ZV4iTLyjzIYgrpMu5GQ9N6PI+sOJPVbPZ3d+OFHF+CamSWoemU72o63YOvyRRDdvSaWJWOcDbYAwTzffjiaMwzDBE1kzIoA7zpvrfOoR3j9cqAetWhC/HdPVw+q39vn+FzZBTmYcuX8hHX7V++0fZ6MrAyUnzMJ9z/w6aRtTuzCnWZv1Ytko1cns3LVaN3DjMwMDDtpNBpH7EFmVpahMD9o5ghk5Uu5Ho5trUZ7fatheVboaGzDnpWbse6e1ah6ZQcOvL4bm//yboLyIXoEjmw4gDV3vYK1y17F2rtfxe7/foi9z23BB/e9hqpXtic4lNu5V2qF2EpoYaNoUGZl+Tkg4MbWPQxBLUjTNLcUKiKtKZ81wPrsoBKz56B6jXa/uG/7enQ0tuPIhoP48JF3UBdzks7IysDky+eBiBIGIZz2O04xm9lTl8swDJOKkN2RbSKaC2DtjGtP082QLGMU1z8qOK1jd0cXRnYtwOsvPoSiESUYMncUKEPStVqONGLrE2sgegQyczIx87rTLWU41qPqle04siHZSbb8nInIzs9Bv/L+8QRmDfuPY8ffeyPuZOVlYeSZEzBw2rCk492iNtOwO31vZ3+vTQP0qHplB45sOBBfnnvTImRk2tehO1s6ULNuP6rf11cOp39pAeq21ViepcgtzcfAacPQf+Jg5JUWJG3XMpvxKlu5VQEx6HfeidCvNfsSxrWpn2mr1+Ll89/d0QXRI7D+/tfj6wbPGYnyRRMNjnLPmrteif+ecsV8bH1ije6+lEGYfPk8FA4ptj3bGJR5T1D9k0zT4XpsevAtAJgnhFjne4EhIcsbIRWf1m3LMEYEohwA/gkLdmy+vbIP727vwrEXT6Du0IF44rPBs0ai/JzeD+rh9ypx8M09AIDc4jzMuOY0V2XW7zuGA6/tRmttE7ILczDhEmuZSoUQlsP8ucHpqJlVfwer53d7j1uONmLLY72x3sd9fDr6TxhseExPVzc6mzuw/el16GhsN9zXDjn9cnXPN+eGs1C76RByS/LQb2R/ZOZKyqdRe0YpsZ1XeDEjYPVZ9bL9tIRJq6PgXnFk/X5UvZo8Eznmo1MxYMpQz8pRc/CtPTj8biUAacZiypUnoeVII6rf34e8sgL0nzAYddtqULN+PzJzsjDu4zNQNLzEkWJgto9bwpotYOUgENK6bRnGiJRxSNYbAVL7N8jLXW2dyMjKQEZWctQapzQfrkfL0SZUr9mH9vo2FBX2Rss4suEABk4fFhfYB80aEVcO2hvaXDknA0DJ6AEo+cKAuA+DVYFfuV8UZ3KsfkzVI6tmz4MRRkJDwaB+GL6gAofeqQQAHN95RFc5aD/Rip0rNhj6EFAmoWziEBQNL0H/iYNR/d4+VK/VztY8ZO4oDJk7Cl2tncgfVAQighACu/+zCSd21ybs+8HvVycsF5f3R8UFUwGD9ozSfU9FnLSfG/8bPzn09l4ceid5xqq4vAxlk4ckrfdKMerp6o4rBgAw/LSxAICCwf0w9sLp8fUjzijCsFPHAJBMA60oBso+IZ0VA4ZhGL/xTTkIYtZAjRACF5z8fSy77TNoOlSPzNwsTLp0bjwTrtN6NOw/jsNv701KrpWdl4cilMVnD7b89X3MvfEsZGRlIis3G8Wjy9CwT9q2858bMOZjUzFgsrsRuSBmAZzgp6OsnTLMhBgth0H1R71sylCFcnAUna0dyM6XHLl7urrRdLgBe1duRmdLh35FCBi5cLyUvTVm8gUAw08fi8zcLBx8S1Ics/KzUXH+lHiIWQDI6ZfXexoijL94JpqrG3B040HUbj6sWVxD1XFs/vM7mP21hXHzNj2USmKqzyZY8WEJC79Cz7q9Zz3dPahZl6ig9h8/CINmjdAMD+rlM7Ln2c3x31l52YYDJkbmfE79kryElQGGYdIVx2ZFv3xpLf69+oe6+4UxSj1n6BV44qffiQvrMiMXjsOgmSNAmRkQXT1xEwwzhBA48Nou1Kzbr7n9xt8/gVlnX4Brp/V+UAfOGI6Kj0yGEAIN++qw858b4tsogzD3pkWRFfC9wu9RO6v2vVpCjZ7woD7PpoffRvsJ6w7J2QU5EEKg4rzJKK4YYMlPwYnJV+PBE9j9n00JOTWUFI8uw4RLZsWz2QZFlJQMOwJiEM+olTpYzQHiBftX74z3afkDizD1cycF8ry01jZh86PvxZdHnTUBQxR5R/SwMkJvNLOgN8to1I9EPRQpmxUFQlq3LcMY4WrmwEwBCFJY6Onuwf8eWAYAKCosS1AQDry+Gwde3x1fHjxrBMrPmaR7rrptNejp7kHb8ZYExSAjKwM9XT0oGlaMsslDcdLiS0BEmPjp2djxzHoAQO2mQxhx+lgcemsvjm5MdCLOKc5DX8LvD6xdxcAIZV1vvmklftvyEWz601uaYWKV5JbmY+zHpqFwaLHlsmTsKAZy/fqNKMXsry5MUCyaqxuw858b0NXWiYZ9ddj+4AZkDiKMOGMsCgYZ+6V0tnbg8LuVyMzOxPBTxzoWEv1+1608S1GZNfCyHn68P/V7JBM1ImDip4JRJBv3H8d2ZaCE3CxfFQPlNifHGB0bBFFXThiGSW9cKQdGAkHQo4gN++qwf9emuGJQcd5kVL64TXPfll2t6D6jSzOCUO3mw6h8YSsAJPgUlE0agrGLpyXsu+yeCwFIdrqyCVFRYRk2/OENzXLLz5mYlrMG6pkC5Uio/JGz+rGzIgxYOY9T+/C2qiVYumwxvvXdl/DTmlNw+L1KoD4zeTbqjHEYPGekpz4tdlA+R4VDizH58nnY8uh76OnukeraDNRXSomtisv7Y9iCMeg3ojThHEII7P7XRjQdlkJXHn5vHyrOm4wBU4faMk1SrvPjvQ8ioVhYGD3LXgqHXW2d2PnPDQlhSguHlWhmQvYaIQT2Pr81Yd3Ez8wxPc7tfdfbZtTHROE5ioJywjDpBhFdDeBhAGOEEJXh1ib6OFYOHn/yRtNoRX6jFEZkJ7em5joMmDoUA6cPR7+R/dFe34razYfjo6oyx3ce1Qzvqfx4NjVLwn7mIMKosyck7auk4vwp2PjAm0lCpEzBkH6a9rzpgFFoSGUscifmRl6bKNnxjSgZMyCedKmjsQ2UmZGQRC5oDM0g+hdg8uXzsHPFBnQ2J/pCNFQdR0PVcQDAgsWX4fwvLcGE+Qvwk1tOjisGMpUvbkPli9sw5fJ5KIy930IIiB6RYCqlpQSEaVYUhM+LVbyoi5dC4dGNB7Hv5e1J64tHB9MfNeyrQ0djGwAgMycTU648KSG5o9co29+OT4qfDsZm/ZhyEIVJXYhoEYBXVaubAVQB+BuAO4UQjQFXi2FskzLRiowQQqD1aFN8WRZickvzkVuaH/8Ith5rxua/vAsAaN7Yiv4TkmcPMnOz4rMPA2cMx/fvfRWDRo02FXxu+/7L+Nmac3Fox9a4gjB0XrnkzFqQI+VBSMNZAxm9j57WB8/JiFiQ8cq1HD+VTsJhoBWtSU1eOXDSnC40bL4WO59Zj/aGtqR93ln5N3y4+iUASFBkKZMgunv9j7Y9tRZDTxoN0S1wdNNBdHd0o2ziYIw+fwoys/2fLfEqf0FYuKmL1ZwLZn1S24kWHHhtV1KkK5lBM4YD8N9H6Piuo/HfEz89B6WzHumto4uEYmYzA04Vg6AzZVupF88gpBx/ArAq9rsYwJkAfgzgNADnh1QnhrGM5xmSrWat9BIiQpHCZEI9GiqTP6AQpWMHoqm5Dq2NDTjy7FGoHbIHZU+MC03DF4zB4//8muV6fP9vz2PwmcMwdH45Jl8+DyPPHI8xF0zFyIXjA5m+TyWcPCN2jzF7Fo0+uOoQuVHAioCQkZmF0pmPYMY1p2HezYsw/hMzk/Zpaq5LUAzKJg/BvJvOxpQr5qNouDxbIJkZVa+tQndHNwCgbscRrL//NXS1SrNwrbVNSe+PFzjtP6KiGNhB6xmVl/WePSvPZMvRJnz48DtJisGI08Zi+KljMGfJmb71Scrraa5pQO2mQwAAyizBgJMfS9pX7/pl7PoMmNXJ7bmslqf8MyvbLFN9Kj7bfZx3hBCPxf7uE0JcDuAZAOcRkXHiHBsQkXmyowAgohwiCm9anfEcT5WDoDuwpcsW4+tf+xcOv1eJhqpeYaf/+EG6x4xa1GseVH+0BicUo1oAsGVNb+bO7MLEZ93oo7x02WL8/r6LUTZ5CEYuHB+6yVWUsPLBs6pUeq1UtFUtSfqTSVUFAZCumTIyUDp2IObfeg7m3bwIYxdPQ15pfsJ+g2ePxJgLpgIAvn/HG5j82XkYtWgCMnO0ZwdEt8D6P7yOHf9Yj82PvodND76Fhqo6dHd0ubswRb3VqO9LquC2zlozA1b9Oo5phLydvWQhhp1SgeELxiQlzfOavPL70NPVjZ3/WN+70mDm1GoUMas49SPw4zmTn1+1wqA3K+DUz4qJPPJLGbf7JKLRRHQPEW0moqbY3+tE9DH1wUS0iogOENFEIvovEdUDeE2x/TQiWklEx4mojYjWE9FVVitHRPNiZbQS0REi+gMRzSAiEbPXl/e7OrZuMRH9goj2A2gFMDW2fQIR/Y2IamP12EREX9cor5KIHtFYfzsRCdU6+drLiWgFETUSUV2sjkmjHET0GSLaGCt/NxHdCiB9TTd8IGXNim6+aSWaThzH/33sVBzcvSe+vmBQEYbHkudokVuSjxGnjY3Hmc/YKFA6flDc5EceJQUACAAUjNNluqP3sfZLOFHfJ6fleJkRN+gPvLJMyshA2aQhKJs0BN2d3ehq6UB2Ua6mH8GQOaPQf/wg1O04gp6ObpRNGYKmAyc0Hfw7mtrjkbrGLp6GsknJCbTcYDfTthu8NuHww6zIam6KIxsPxH8Xj+qPsRdNR1Zub74Nr+zr1c+18rwNVcfR1darNA6dW6Jr6pNuwq9VkyYr1621z5WX34PvPTjPWeUYq0zWMAU+LITQTjaTSBERyclrigCcDuAqACuEECcU+50E4DwA/wKwB5IJ0hcAPEtE5wkhXladtwDAy7G/byMmwxHRJQCeBrAOwB0AWgBcDOARIhoihPh/RpUlokmQfCU6AfwGQC2ASwH82eCwX8f2vxuStFRHROMAvAMgG8DvISlEnwTweyIaK4T4plE9TMgH8AqA1QBuA7AAwPUAjgL4keJaLgXwFIBtAH4IIBfArbFrYiySssoBANx5+wU4Xn0ovlw0vAQTLplletywUypwbMthtJ1oRUPV8XgW3AOv7Yrvo541YLzDjj22OuOp/Nvso6oWnsKyR7dbbyvYtb9W75+ZnYnMknzN/WVy+uWh4pP/jS+XzgRKx12Hqle3o37vsUQlOsaelZvRf+Jgz3xrghQYtRTWqAqsZopB7ebDCf4jZpGB3CgGyv/q85zY0/strjh/imYACCdJ7Mz28WK2wS+MnKXt1OXxJ2/0tF5R57nvTsWM8sJAytpU1YyP/WoLAPxVY/NPANxu4TR3xf6U/AvA51TrVgoh/q5cQUTLAKyHJPyrlYP+AO4WQvxUsX8+gAcA/A/AxaLX1vNeIvo7gNuJ6I8qpUTNzwEUApgthNgUO+99SHauVpIB4DQhRNy5jYieitXxNCHEO7F19wL4D4BbiegBIYR2GElzygDcIYS4M7b8ByIqhaQg/ChWViakdj8AYIEQoiG2/mFIygJjEcdmRVdefk9g5hZdrZ1oqKrDnpWbseOZ9Tiy/gCWLluM7rbOuO108aj+mPzZeZYTnA2ZVx7/vefZzdj9703xnAZFhWUYvmBMUvxvu2YmYZujhOH/YRW7piLq/Z06rCrxu22CbHuj9vTKFKto0gOY+tXXMHvJmZh/6zmY8eVTMeqs8Qn77PrXRtRuPoymw/W2/RGi9qxG8f25+aaVhv1KfeWxeChmACipSI5I5KcpkUx3ewvqtlYb1sNtGVpEMWO2ll9BVBVPJoHPAZin+ltu8djfQZoROA/AJyApFecA+IfSNl8I0SL/JqI8IhoAoB8kZ+aTdM59j2r5PAADIYXpHEBEA+U/AM9CGnE/Xa+iMYH6YwBekhWDWN26ACwzuMYHVIpBJoALAbwqKwax8/RAmmUgSLMZThEA1C/0agCDFL4X8wGMALBcVgxidTgE4HEXZfc5XPscOBWArXx4e7q6selPb0k2zs+sR932GjRU1aHq1R1Yc9crCbGzh8wzT6ijpP+ERJ8g5SjX5FPPxE//+IH6EADWzUzCVgyUROEDqYfdxFZK3wAnwltQH2WrMda9xgsFwWzf/NH3I6/8PpTMeBhD5pZj2lWnICNL6krq90rC6bYn12L9fa/ZyjKtJMj7ZHa92pGh/FEctK5b2Zdsf+8tHNyxNWkfmfo9iTPnQ+aWJyzrmRN53V8de+/L8QSCZZOHWHJ+NjN10vNH0fpt9/741Q5MSrNNCLFO9WfFpAgAtgohXor9/VsIcTuA6wBcAODL8k5ElE1EPyWiSkh2+7WQzGS+CqBU47x1QojjqnWTY/+fiR2r/Hsots3ICXoQpFmD5HjHwA6D43arluXzbNHYV16nb/NtTo0QQv1BkdtCHn2Qz681S6DfcTJJeOKQbNShOv2AdrZ2YN09qzXDMarJH1iEfjZzCGTlZ2v6JoxaNAE3P/AkMgySQMl2v6lE1BUEJ8Kg2+OiFPrSDerRZL128SsqS35ZISZdOjce6Uimu6Mbmx5+G9ueXItjW6sNZxJS9T4EVe+bb1qJ8q7T8fPPnoNfXv4xtDdoK12drZ3x3+MunG6Yy8DJu6N+zrRo3fc11HzQm1m+dMxAzf1knCpoeu+vmwEDP/zJeKaAifF87P85inV3Q7KLfxbAlQA+Cmkm4HFoO9BqvfiysPI19M5WqP+e1zhOxqkdqJORH6HzW4lerOxkW9ZeSPVf69zskGwDx8qBVZtHKyPDWp355kfeSVjOLc3H6HMnJURRoQzC8AUVmHTpnATHSiOUH7fhC8Zg9LmTAEimREXDijF49khPPxBmZgBBkQofpzDqGHa7eDECvXTZYssKq5UQi07apHBoMSZdNhczvnQqKs6fkrCt6XA99v5vC2rWVunWx235WngplAUdClNGvqd3L/0YXnjoXhQVlqG7owMdje2a+x/fcST+u3RCYtQ2o3p61efVvPZZrL37VdTvPRZfl93PfshUMxNCvQg/bhSDKPTTTFojRwRQhh+9EsBfhBBfF0I8IYR4XgjxEuzJZjtj/08oZivUf4cMjj8CyYF5ksa2iTbqcRRSwrepGtvkj8JexbrjkPwT1Iy1UaYaOTrNFI1tkzXWMTq4ckh2G+pRN3HW8ZaEKBdjPzYNZZOlKCiDZo5A48ET6OnsRvHoMsvOj8o6KqN9DJw+HF3tXZg54SJcfOO38adHPw/A/GNpZXvYH5tUHBkPW1gPAtlJ2Ot7E3YULSKKJx4sGTsANWv34+iGA715ErYfwdD5o+P7exkxxwg/2trKOe0KrFrXL9/Tq694BDfeLbVdUWEZGvYeQz9FbhdAMsNUouwbvbp+LUd/mfq9tdi5YmPC9rKJg1E0rFj3fFYEf6NtXoYsDfv9YdKeS2L/lTbL3VCNaMciB10C6zwPoA7AD4nov0KIJuVGIhoEoFboTN0KIbqJ6DkAnySiGQqH5CwAlj3fY+f5L4DLiOhkIcR7sfNkQHKuFpAck2V2AjibiPJlcyEiqoC9a1ezBsAhANcT0T0Kh+ThkBQxxiKe5TnwUhBWjjBmF+TEFQOZfiNKUVIxwFZUFL2OnzIIw04ajaOlG+OKgVWiMitgBE9ph4NdX4owsCqEmT1DWteSnZ+DkWeMw+wlZ8bXtRxpRFd7Z9K+ZnUxIqwRfTt48f498sTVyMrLjmdvP/z+PnR36s+yFwxJzI0URB+g9AEDgAmfmoWxF04H6ZhoulUMzM7l5DwM4xELiOjzsb+vENEfANwLKbSn0sl3BYDPE9F9RHQdEf0SwLuwYR8fUwa+DGmUfysR/YyIriWi7xPR05Ai95iltf8RJDOhVUT0EyK6CVKkogK5GIvV+QGAEwBeiuVAuBHACwA+DuAuVaSi+yH5KbxEREuI6Mewee1qhBDdAL4BYBSAd4joW0T0fUjhVXcZHswk4GkoU7sjdHqhHesre6ekp33xFMPj5XKtoBzNd5uvwIpSYDUmOWOdqIeZVGL1fQjrWsxCq9ox3dA7FxEhIzsTPTFBtrm6ASWjB2ie36ieTvFKQdBLTBVU/goiwvhLZmLbk2vj69bf/xrGfXwGSsdKNv09nT3xbVk5yV27VzMoct+n7NeEEBDdveXPu+VsW4M3Zo70XigGUegzlN8N/i6kNdfE/gBpduAwgEcB3C6EqFbsdwskofxTAL4EyZH2ekhmMcYxiBUIIf5FRKcC+B6Ar0Ay1zkKyRH4GzC214cQYisRnQ3gt5BG+Rsh5U14FMDbsOhfIITYTUQLAPwCklN1EaQZghshKUfKfVcR0ZJYeXfF9rsBwDRIkaEcIYR4KpZE7f9i9TgIybfjOHodtBkTPM2QbGcUXa+j7unuSbCnzcrP1txPeQ51vG2ZKIQiTPUPQBTaUEmqORJbEUiMIhu5uU43ZTs5r965Bk0fHv9ds3a/5j56RP0+e+kfYYY667roFtjz7Idorm6A6BFo2NebJT5/UJEn9bJKT0d33HzsrM98ybNcF25RBh8IA/U7LPsHpfp3gdFGCLFKCEGqvywhxCghxDVCiP2q/ZuEEDcKIUYIIfKFEHOEEE8JIW4XQpBq30VCiJEGZa8VQnxGCDFECJETO+d5Qoh79UyKVMe/L4Q4K1aPwUKIr0MKCwoA+xX7PRK7rpd0zrNDCHGpEGKAECJXCDFdCPF7rToIIe4XQoxR7Pe0nWtX1KVStf5vsfPlCiHGCiF+J4R4WGtfRhtPlQPAvRmL2m62fq+1pHZGI3jqzln53+h8evSV0R+txFBOjvWDIBWEsEau3bxHerHVvYpiZLVubcdbkJHd280oR5f1MHOYTnf0zBW1zIh6unqw9Yk1WLv0Vex5bnN8fen4QUn7Av6Nnh/bJg2GFhWW4cMtz5nubyfZmZtZgzCfITf9J8METSyZmnI5G9Ksw3FImZeZPoTnyoEd1J1+Z3M7Nv7xzYR1J3ZrKwfyx9PqyJCWgqDcpuUcqdeh95WRH70Y4lEhinVyg10bbLPz2DHBcqogqP+UHFl/AJv/8i4Ov7cvvs5sRDudhCiv/JFkZeGIIjxodmEO+k/UDl2elZeVFFYW6O3n3Ebo0er76rb3Rkk6tqUajQfUodiN0Zr1BYJ/x730IVO+E07zsjBMgGwnomVE9FUi+h6A9wCcBuAnQgjt8GhM2uKpcuBWYK6vrIsnzpEZNGuEzt7JEYiUOIl/rTXS4zT8X7p8BNzkEkinNvAb5fNmJdyo2XnCpuaD/ah6dQdET+JMcrFBPpKo1F2N0/uv7B/snENr8KG9pQU4lBdfnnTpXIz92DSMWjQB+QMK4+uz8rMx7uKZSWY9epGh9Powu8EWMjKl8uSM9Qff3GO0uyW8eO+iMICgVBAA67PSDBMw/4aUKfl3kByUuwFcJYRYGmqtmFDwRDmwE2fdiJaaxvjv/IFFmHfL2SgY1M/giESsxnlX76/nbOikHOU2HilivMDOc6R+bu0oGV4+qyd2Hk1YHjhtGMZeOA0lYwb4XnaqYUWA/etPvo2De7egqLAMQ+eVI69/ASiDMGTOKEz74imYf+s5mHfL2Zj1ldOTQpyq0eoDlchBFIwGP9Tbys+ZhIEK3xInKOsVllDv54ywlWe8L8xIM9FECHGDEGKCEKIg9jdfCPGXsOvFhEOoZkUycQGmrCC+rrW2CTD3oYmj/pjZ/bg4TaJjdj69cwY5QsSjUemB22fTipLgxfPf09WNxoMn4svTv7QAFedPQdnEIZFxVE0Vbr5pJdpbWvD+s/9AUWEZmtuOY9iCCs19iUgzbKjde2omoKoHQAAgr38Bys+Z2FuXDOP7HITwH4VZAyXyLOz1l1SEXRWGYRhDImNW1Fa1BAOnD0tYV/3+Pp29rZ/TCLP66h1vZUTt5ptWRubjFNZoVFSuPyz8GA2P4mxUT3cP6nbUYM1dr2DNXa9g3T2r49uy8rKQXWg/Q25U8PsZNjv/ty+bhFtOHg9AMtkZOq8cmRphSu1ix7RFvSz3J2rTS6VC0HjghGkd9HJpRO35DgMe0GEYJkxCnzlQfggysjJRpJgSP7a1Rvc4qwKv2mbeSlx3t9PbylwKeqE3+8r0cV8RkIFgo+wYleNWoLVT/7rtNVh/32vY8+xmze3jPzELmdlm+Xeig19hL7Vs/o3KaTnSiHXLVqFxSyOamuvQ1FwHyiQMmqUbydARWv2Qcp2dPC1EhKy83tDTLUebkvZRC73K/tHLdyfIgQm7grzSBFd5zX0lCh7DMNHH8RDUlZffgzGz5saXnXRmWhEpOhp6c220HW9xWr0kgvxYaCU/6+uj6H4Q5YRoQYdZtZOwzAw77blnZbJSkJGdgZ7OHpRNHqIZNcdtmUqiqCSq0XMGltESwHeu2ICeWNhXOSvypEvnIqfI/iyMm+AAWv26XrCHtqolKBjSL55v4dA7ezH+ohmm59OqrxWicu+dfPu0IuaxQsAwTFQIfeZASWdze0ICtDEfm2q4vx+dqVeCJnf0vXj9EQ96VNDqyKDberkZtbbrtOxFGzZU1SUsT7hkFmZ/dSHm3rAIc29ahDEfNX5/vcCvkX4vzms1NK26r+jp7kFncweKCnsjO835+plJSdDs4FUbmT1jIxeOj/8+seso9v5vC7raOz1/h6Kc38AOyjDAfT2/B8Mw0SE05UDzw1mXOFNQNnFIUNVJrEcaheEMG78EeTOHby8JStHzQjBQnkPvXHYFK7Vg193ehcoXtmLHM+vj60rHD0LJmAHxjOYZmRmOnY+1bN7NhMsws+BqoTZNtFM/ORFkU3MdBpZXYOwVkz3xM/A6W7DWeQoGFSFDYUZ2bGs1dv15M7591kzs/d8WNNc0JB0T9gxg2MEh2L+AYZio4Vg5ePzJGw23OxFyClUmCE2HTtg+h1cEYXfsF1H82Phx7WoFwY8y7CoGURFQvRxZVbZBd3sXdvxjPWo3H07Yp+K8yfYqaBErYTWVuBWAvbR5d1oHQq9SlZWdg5x+eQZ7B4u6fbXae9ZXTk867nDVDhzbWo2dz6xHZ0uHqzqY3SO7bR/FWV4enGIYJkxczRzIH22tztWsc1YnhgGAzqbEJHy5pQWwglowtJvAxy7y+aMmhJvVKawPjp+julERxpVEbRTbKzqa2rHlr++hubp39LdgcD/MvO70BEdUtygjfqn/23nnjLI3R5nM3Czk9Zf6vl0b30HT4fqQa2SPzJwszL/1HIz7+HSAehOjAUBXexcOvb03vux0dkuPVLrPMrKPmtUcJVH77jAMk36E6nOg7gx7OrsTls2c78xGi/3uRMMacdK7bqWipnXtqfjhtEIqCoCpRk9XN7Y8+h7a69vi66Z+7iRM/dxJjpxktdAKmWn0PKczZZN7TSrbjjWHWBPnbd9/wmDMv+UczL3xLMy8rnc2oaHymOFxRn26UYQur95/L581vWhEarxIIsowDOMV7g1ZY3gRhq211ruPYBCCu91r9lJ4NTpXFKfJ+yLp5LvS1dqJrrbOhHW7/rMJpWMGYtTZEzxJbqb33CoVhDCf7SAz+Iqe3gSQwkYySKto1V/uz/Ta2Er7a50jIysTOUW9fgiZFmaZtOoX1Lvk1zNmdl5llDsjPwzu3xmG8RvPZg7kDstVx+VR8lStMHFeEnbnzCPkfRc7I6RunhP1O5PTLy8pelhHQxuObDiAuq3Vuufw8t1z+95ZbTu9UJ1m+3hJZ7Nkl19UWIb8AUUJ2/waYdYzEfWiv1NGtsotzU/YZud5DmKW0IlDvB5O/R94JpRhmDCJTIZkAMguyIn/9tKG2Q/CVhCY1CEM23e1w6gT1ALwgMlDMe/ms+P28DJ7n9+K1trkhFd65wkbO/dCT8Hx+z42H66P5zcoHNovvj7M2RMrpi96Ckb93l5TooFTh8V/q33PovCs+KUgsdkQwzCpQqTyHJzYXQvKlCIWlYwd4Nl5rX7InWS6TCWb6FSooxlREB7soPXseTGib1fo14owY6c8GcogTLlyPkYtmpCwfvOj76HpUGo5zuphJKgGpeB1NLWjqbkOuSX5oAypm47C+6slJFupV3d7V/x3Xpm1QBNahJELwCtlzMp5Uq1/YxgmPYmMctDR2IaaD/ZDdEsChjLhTxQ+ikZEQUEI2zk7SNLhA+rViL5d5cNJmer2zszJwpA5ozDslIqE9dueWou67TWaZUXxnpnNCKjbKqhZn672zrgwnVvcG8bUTkjXoLDaryh9KNT5bKxi5IwcBl4qKpz8jGGYKOGZQ7Jbdv1nU/x3waAiDJwxPL6s9UEMO6a9eno/7I+2MsMmO7GlDm6dltXPYZACxojTxkJ096B6TVV83Z6Vm9HZ0oHBs0eCiFLGbvpnd56B2y6dmbQ+jPq3H2+N/87u500kKD+wqhjcfNNKfGu1NNNUVFiGrlb7eQ6ioBiona31yla+k0bvo9YMVaq8LwzDpDehzhx0NLWjoaoOQgi01DTG10+6bK5p9JOgOlG9zt2OsK0cYQpCeAtyFMrLcqy0URQd9dzOyrgZzVfbgds1NbJTntbfyIXjMe2qUxL23b9qJzYsfwPVa/ahvb5V54zR4zdPbwy7CgASkz9m5Ubb90rG6B24666PJpic5ap8VmTsZkoOux/QyndjlpNDb6ZP/kunGV6GYVIXz5QDs4gOPd09Ccvt9a3Y9Ke3sOOZ9dj+t3WJlcoyr5Zfwq/ZddjtvK1EPrF6HruZQVNtmjpV6x5mvgu35XshYOWXFWLO189EbkmvCUxXaycOvL4bHz78Nmo/PJR0TNAKsxW0Zg7CoP1Er0KV2z/fYM/o03KkEeuWrUpInPfFLy63fZ6wFQEZOcyo1TDW119SgbaqJfH/gPEAB8/wMgwTBTwPZaqk5Ugj9r28HWvuegXrlq3ChuVvoKu9E611zdj00NtxO1S1I6PsgBcGRna98nSxF9mR7QhEyn2tHBfkh9TPsqIkOPqNG/8Dt21kNZu5EZk5WZjx5dMw5fJ56DeyNL5eCKDyxW2ot5D4yul1ODlWvf+PvvmGo7L9oKOxN1P8wTd2o6OxzWDvaKDVZ3a1dWLrE2sS1pVPnYnhEyYbnsvqvfTi2bfblzspT53p2wuuvPwez87FMAyjhuwm2CGiuQDWzrj2tASnYQC4Ycm/8X/Xz0XTwROo237EUYXGXDAFAxSh7vQII7yg0uZUK5urHm7tZdXH2z0uKqNudnB6zW7KcyOg2z1WL+GUG2HHbRuZtbmde9JypBFVr+5A06HekJwTPzUbxaPLdM9ndF4vFSArduBhUretBnue2wxAstEfOnYCSj9SGHKt9NELr3p00yHse2lbfHnMBVNQNmUobrn5OUvPfVD3zCz5mxZa77yVMK9e0XS4HpsefAsA5gkh1pntn6rI8sZz352KGeXBvAObqprxsV9tAdK8bRnGCE+H6O+/8WrUvVtrSzHIUTjcDTt5tCXFICi0RqaUyd7cJn6zKvA4tbOPon2+VcKouxsB1MkoZtRMCLTMHtT+DOq49HoUDO6HSZfNRWZOFpqapQRYO/6xXjeakfr8XhM1EyYjyiYPwZQr5seXq/fsTDA10iJMW3Wt57izpSNBMRh/8QwMmDpMUzHQwk7ELbf31EkUKKuKQRQjTDEMw5jhmXLQ1daJza+/gqbmOhQV9o4O9hvVHxXnTcawk0fH1xUNK0HFeZMxZ8mZmHnt6Zh53emYftUpGHH6OFd1sPLx13Iis4PWjIHZ+ZwIPEbObKkg4HhFUEqCV2VYvTd6AoObZGlePBfqcpXPt/xMWq0bEWHip2cnJDRUmxBaUTaCfN6NyhJCoLuzG+0NrWg8cBzr//A6Nj74FrY9tRbHdx2F3VlYIwqHFgNAXLE656RbDPePkgDa092DDctVZlqxABNBRZ7zEjvfC73rW76i0tJ1skMywzBRwLNQppSZEf+QNTXXoXTsQAyZOwr9RvWP76Mn/OcU5QKwF7LPaQhIOx9RpcCinnpW+h+o1xmdy4ryYlRPt6Ev7cJh9uzjxkRJiRNl0KuytbBqOqcsv3BoMWZedxrW3bMagOSorCZqz5VWG7adaMH2p9ahs0UdhrMTHY1taDq0CaMWTcCQOaM8qUNrXTNAAITUn5ZPm4U3d3pyat9Zt2xVwnLp2IEoqbCe1NIod0cY5qRm2DExNSNKSh7DMH0Xz2YOMrMzAUg2skWFZfjIJ25MUAz0cDNSovdR8MN8QG962G6uA7MpcbdT7l4S9RE9r3Harn7fD7vndxIJyOg9tGIaYTTjoQww0FbXbKk+UWPLY+9rKAaJ7F+1E2vuegVNh7UzRbcdb8H6P7yOtUtfxcYH30Td9hq01jYl7NPd0QXR04O6bTVAbCKiaHgJBpdXeHEZvlO9Zl/C8rCTRmP8J2aCMoxDU4eBF6P06nN4PYPMMAwTBp4mQRu7eBqOrD4MAHjxn0sx4ZOzTY9xO1IS9Ei6jJ8jPGGPHum1p5+j0qmOemTT67Zy85xbdUw3mvlyStuJFmx7vDdiTW5p6oXmbDnSiJ7O7oR1JRUDkFdWgKIRpah6ZTs6m3sVh21PrsWwk0cnzJS2HmvG5r+8G1/uaGzHnpWS07E843Dw/7N33mFyFGf+/9bMbM45J+2utMoRgQQIBBiwMDZgY4ITjhzYpLvz+bjzndPvjH0JJGxhnH0GjLGNwdjYREkgEBLKaVdarTZoc85xZur3R8/09vR2z3T3dPd0z9TnefbZ6VRdnaret+oN755H1/4WECcB9cybKJVvXWzUpekKpRTtbzfxy65EF0ouC20qalRuDr1Q8k0E20eLci8+Tvztz9GTAG5UVS6DwWAoRfPMQULhwwvWZS3Ox/jEIPfXOaKrDW40Y6cRejvVlRFIsGen1XEyWJnu6TnUP30Q7hk3vy5zUa7qc0RaIb2wZ96eJ391KTY8dBVqb16NsitqkVWThxWf3YTU4sDIbV0HWjHUyAVmoJSi+W+n5cvf3YhDO3aha38Lt7+HBvhtTXSNyhxpLUZbBwOWV//d5RGqiTLCUYSlZgj0mLEWh62WK3Om+5GwzsNgMBjB0DxzMNP9COJEoUyFWY09sx6c/OV7KL20GlmL87XXMAzYSLc27OD4bNVna+RMlh7PRc/wtqFmSTr3NcMzyykGzgQXCjeUI3tpoWRZoZJKqbmvSuzT1YTGFLZr/Sc7Uby5KsDJ2hnnRN1t6+H1eNH819O8UtD055NY9smNmB6cwGTvfAb4iquWYG5qFsNNfZjs5cyKhDMFwLwjsjPeiZTiDFNmE8P9ptrfPsf/Ltm8KGSWe7VYrT0S+ocFq1uo+6okuSWDwWCYie7ZxrJq8/jfM8NTaPrLSbS83mDoLIKdQ3bqid6dZzCfjkgTy89b7trV3BO9n6F4hNPr8aL3aDs/Ar76S5eiaGNlSIFRDzNDqd/hUHL5vGmM1+NFw28PLcj4DgAOpwPVH1oRkP+l+W+n4Z4OdMLOWpKP4kuqsOwTG5G9pGBBOXkri+FwOhCfmoCld16E5LxUXa4jGHq8Dw6Xk/+du0L/kNTBHJXNxj/TJlYMQvnBSc0MCBH67rB+jcFgRArdlYOyK2oDRtUAoP9EJy7sjkyoDblOLxxnNOGxWsoxqtE3YtTaTKfvaMGMTj2YgqD0/HrMQMgx1jbIJz8DODv8ppdOoO9Ep+RAgVHx4PVQpFIK0lH9oRUgTk6xmR6cRN+xdtn9a29eDWc8Nyk71T+OznfOB2xvebWe/1153VLUfGQVyrcuxqJty7Hu/itRcU0dfnFmDCu/sBmJWcmK6xkOeryzcSnx/O+JnrEge+qHldqhUN+kEOEMHlMEGAyG1dBdOYhPS8Saey7HmnsC7U17j7ZjottY21k1I91aBRG/MhAq9rWS2NhGKQh2KNMqWCGuuF4CjpYytJ471Dvh9VBeMQCAyb5xDJ3rQ+vrDTj02C7JkXc9CHUtQlMoNWTV5mPpHRfxyyPnB2T3dSa4sPzTG+GM50bShT4XADApEJwdTgcyF+Uif00pspcUwOHkmuTHf3ij7mY5eiF374T+JMJkd3pixdlMpYJ9OAqAFdopBoMRO+iuHPhxJcZh/YNbA9bV/+YgpgaMDWXob3zvvqmS/9MTJUqFmoZcbYcRTgK3cJCrp5ZOOZxr0HOk0AodrtjMQM/y1B6n9i/Y+TOqcpC1OB9y8u3hHbvRc7gNPYfaMNzUp6nOwa5F6newdUqIS56fEZ3sGw+yJzdIsuyTG5GQnrhgW97qEk3nD4VZo+hy7VVKUQZvRiaO7mQGVppFECIcUBKipt2PdAQ7BoMRWximHACcI9/Kz24KWNd3vMPIUwLgGl1xY6pHpyF0QDPKDMKOqL23Vrl3/npYQUkI16xAeLwVhCSH04HqG1Zg3QNbsf5B7i9/bWnAPhf2nMOFt87h3J9O6J7/wIh7EJcyn6jRPT0H6qVBz5GQkYS6OzYsMA3yuo2ZNfETqWfvmXXzs0XxaQuVonBQYtev9RtS8v2ryWcgRpwsU+vsFYPBYJiFocoBwMU1L76kil/uPdoOj06jSqEaaL2E0GAj3aESo6kh1KhsqOzJkURt0i2t51AjANip81VbVz1HxPVG+C4kVTwBQggIISi/cjHSZRIjnvzVfkNMjfR08AxotwhAvVx9g933uOR41N2xHpk1XKCGxKxkZFQpzxaslUi8C8JEZ2K/MyMJ97lqzWOgdAZUj/whVhjAYDAYsYPhygEAFG6sCFg+8oM9mJuYCatMualaKfR09lIzgqSmQxB35nKCthUVAzFGjIxpKVPpM7fDPRWj1MbZCgiVhZqbV6NgbRkyqnLgSgiMpHx4x26c+vUB9J3ogHtmTqY05Wh12pZ7x869cIz/nVmVGxCdJxiuhDjU3LgSGx66CivuuiQgmlE0MdU/P/vjcIXuWtQKvOLZA72deEdaBjBQ380rfcEQthlqrkOrGSaDwWCYiSnKgcPpQN3t6wPWnX3+mMze1kPYEZgtSAo7E6POrdZHQmqdsKPe1N8VIMybMasQiwTLoGpVkqt+hLIra1F702qsuXcLKq9dGrB9qn8cra+fwclfvIfxzpGAbWZm0l0QYnJwAmPtw/xy6ZaasMqPRoS5HNr3NmHonL6+JEoyfGuBUoojP9yDxj8eQ/PfTuPC7nOo/81BnPzVezj91AF0HWgJ61zhmC76Zx3sOIDBYDDsS1gZktUIJKlFGai7bV5BmOofh0cUxUMpeo+kGDEyo7Yx12sUTK2zr5oZGD/B6jrddi/25crHOA8nOo7WJGB2UUzCvS9y262G8HnkLi/C4o+uWbCPe2oODb89BOo1Nsu60uRUwkhrrgQXMlf/0pCZsXCI9LMWZ4lu/uupoM9PbRspd4+8Hi96DrXhy1cW4+Cjb+Lgo2+i8Y9HQ/qxeD1eeD1e1D9zEJ7ZeZOx3mNcZL3pwUlM9o2j453z6HinSXPdhW2s8HtV8ryE57FDG8ZgMKIDU2YO/KQUpQcsj3UM61JuuMK9P5FNsBFuqdEbPWxJxYTbwfvro+WeqFUsxIKp/95FMma3XRQBP3Lxz+2KGvt+/7NKL8/G+ge2ouTSRQtMbj5w0dcWlK8Eve9jmsBXwj3jxmRPs67lRwPZSwqw6Ibl/LLX7eWzRRtJ2xtncOGtcxhtnQ+dO9IyiJO/2i97zMzoFE798j0c3rE7YMZDjp7DFwKWQ2X0DoXa9tHu7QKDwbAXpioH4pkCqrMD4vD5fvSf7NRkr6xFSDNqqjeYgKUkrKRQQQhl0iOn9ARDaUcldx3hRuUJFp5WanZB64xDpNAr74AZilIoZUCpkkAcBEUbK1F3+3pUfqAOAJCako1zh/aHFQIyFErvT3xaYkC0pcZnv61bHfQk0qZm2YsLAiLUdb7XLJn0Ti/c03PoP9Ulu73l1XocfOxNHH58N0ZaudwU1OvFiZ/tw8zoNB96VYq8lcVITclGako2khMyAUgPoAQbVAlXiRAS6ZkhBoMRO4StHKjpgMQRLFpea9B0TqlGdripD+dePI6W1xpwdOfbGG0bVN0paVEQzMw7EKw+UgqCms5Iyb5CYVOLH0EkZxSsrCDopTyFe2+NzNSqdBYhsXwnkgvmZxj/9uPt+LcvrcH99/0lZHlq677AryDE9ZdcWs3/HmvZp8hx1Qz8bZBVHFfjMxIDskmfe/F4WApCsG92bmI2YHnl5zcjs3o+GVv/qS6AcrMYjc8fw2TfGD+jIMzgnVaaibIrawEAeatKsP6Breg70clvX3nFByTvr9I2likGDAbDTpg6cwAAyz99Mf/bM+PWbFMsFn7F2ZfP/uEoGv94DNNDk4rKm+wdw3jXSFAFQdg5iHMeGI0SoVZKYFczkui/Di22wP6yje7EzI5OZTZy9TZa8BOf1whFQWlZSTkpSMpN4QWz/nd78b+f/ajkDIK4nqESoIVTN2dcYHSinrduV3ysHucPhvCbjfS7TwhBwdoyfnmkeQBtb5zRVFaoZ5iYnRyQaO7ci8dRuKFCdv/TT72PmeGp+eOzkrH+wa1Ycus6FKwtw4aHrkLF1UtAHIQvd3xiECf2vIZ/unI1r+QI2/1gfQBzJGYwGHbEdOVgXORn0Pp6g2bHZD/bd2zDSPPAgvWjrYM4+cv3FtiLLqhT1wjqn3kfDc8ewrEf78VY/ecDtvs7qEhGLVKL1hFyuetSWp5ZI/NahGUrzx4AwYW6SL5vSp129YI4CBZ/bC3SSjMxPjGI8YlBHN3zMj5VlYizzx9Fz5ELsiPRekU0UqIYUYOTmSlFKKRaZfagYF1ZwLJU+xwKJe8WISQgEt5U/zgSc5KDHDHP9V96AMs/czGITBrv9IpAk6Ox/j488ZW7wspjo3abVZ4nI/IQQu4ihFBCSKVg3S8JIS2RqxUjWjFVORhs6EGraASp/1QXTj/zvuYESP6GenZcPm/ChT2NvPPz3OQsxjuHA87Xe/gC/LLG3MQsmv58ElMt92iqjxFoFcD0sjmXKyOYX4RRaI0vLsaqCoJVCRZlRc17pkR4TyzfibikeCz+6FqkFAYGMRhtHcSF3Y04+sTbinyLQtVL7exIakkm/zs5Py3io/RirDJoEZeSgPUPbuWXZ8dndEt+KXUuoSDvmXaj+saVAfuklwcK+p//7o/wkfu/JqsYAEDZlbUouoibhfArqfte/i36TnSqMpPyP5PptnuDJi/0/2cKgX0hhFzpE+CFf+OEkNOEkG8SQtJMqMPfE0LuMvo8jOjGVOVAzsRnZngKZ39/BO5p9Y7Eg2d6cOzHe+Gemj+25sMrkbs8MJzmmecO8zMJDb89jMM7dqPveAdGWgYweFYUUWPEia4XujB5/m5+VTAhQ+/G3KyIO1LnkVqnNlmUmai991YT5uxGsBC2WsoIpmASBzcqXHp5NZyihGmeGTeO7nxbsk2RiqLlZ7R1kAtaoKGt8Xq8cE/N27gPn+9XXYZZWOE9J4TwwjUADNZ3qzpejWmbP6kmcRK4kuORVZOH9Q9ciZWf34z1D1yJ2ltWo+62dVi0bTlWffFSXHlH6BkAh8uJksuqsf7BrQFhWltfb8BAECdoKYTtlNh3KxhWUfYYqvkZgE/5/v4JwHEA3wDwhzDKfApAGoDWEPv9PYC7wjgPg6FdOZjpfkT1qFvB+jLkrykFIZxdcVxyPL9tvHOEGw1U2GlTrxfdB1tx/uVTC5zS0sqyUHntUtR8ZFXA+rPPHw0wYWp94wwa/7gwGdv4xCA6WxvQ/Ld6RTb7RjXgRioJYtvsUOcKFT0pWPl6I7bxFfuChFIYQpkX2S0cqh2Q8xeQw7+NEILCDRVYc8/lWPuVKxaYq5z85Xto/ONRDJzuQue+ZvQebceh7bvQ/tY5TJ6/O+AcY+1DOPv8UbS81oATP9+navR3rH0Ih3fsxvTgvDKiJAuwHGaMDltBQchdVcL/HjitTqAW4r8Wqe/bPT3HZ2fOqMjhfUOIw4GE9EQQhwOEEKQWZyJ7SQG++i9vqGqzCSGouKYuYN1k77iq+is533TbvWzWIHp4j1L6lO9vJ6X0dnCKwQcIIflaCqSUuiml49TI8F8aIISkRroODP1xhd5FP5zxLpRvXYzyrYv5dV37m9Hx7nzM8KNPvI31D24NOt0LAEPn+tD+dtOC9TlLC+GM5y4rrSQTccnxmJucXbCfHBmV2Rhp4Rwhhxp70XO4DQUIVBD06HTlyjFaKNWj/nLT42YTjomRkmtQOoNiZyIVGUltiEdCCJxxTpRdUYuEzCS0vXmW3zbSMsh/s366D7Wh+1Abqq5bimx6DwghASEvPTNutLxaj8oPLAVxEMxNzKBtVyNGWwfgSo5H4YZy5K3kBFv31BzO/O5IQPlJuanIrMnTdO2hrlnJN2pWAIBwESYPc0+H51vGXet8QjHepHRs3qQ0KSclZDlaBnOSclKw9I4NqP/NQaSmZGNuckZTnhthu2OFNpRhKv4GiBdICCHfBPANSmmAwOPzK2gG8FlK6S996+4C8AsAVZTSFqkTEEL8ikOJ4HcrpbRSrlKEkMsB3ANgE4AiAOMA9gD4F0rpGdG+FMDTvr9vAVgJ4EkAD/q2fwbAlwEsB+AF8B6Af6eU7hOUkQ3gawCuBbAIQDyA0wAepZQ+JVdPhrmY7pAspujiKiy+ZU3Ausme0ElpBk4vnKKuuHoJKq9dyi///VdfRd0dG1D5gTpkLQ5U1pNyUpC7ogh5q0qQUpCGtLIsLLl1LWpvDqzLhT3n0Hu0HdPD3IihXoKxHuYZRpxfvM2OHZjSDttMwcqO91FvhKO+/tkfLVF28leXYsVnLkbO0sKQ+za/Uo+OvU2glC5oMwZOd+PUr/djuKkPx378DoYae+GZ9WBmeAqtr5/BaBuncPhNVvzU3rIayz+1MWDmM1JY+b2aHp7EYEMPv5y/pjTI3tqZGZmPPtT1fmvA7LPScNRK9rnlw9/jl12JcYbNGDNTIstQRwhZJ/orCn0YACCVEJLr+6skhHwCwGcAvEApHTauyvgUgCEADZg3a3owxDEfB1AM4FcA7gPwBIDLAeyVmeVYB+A3AN4EcD+AXQBACPlvcMpLKzhTqm8DKAWwmxBymeD4RQDuBKeAPAzgXwBMAvg1IeRzqq6WYRimzhwIEQoJvcfa+fXEQRCfkSh3GADOqdjTOz+z5nA5UHvLGqQJnAX9ZSekJyJhRTFyVxQDN3D+DXAACelJsuWvuOsSnPzle/zy4IF+DB7oR/UnlyEuOV53oVJ4L8wklKIjHOHSojCYObrpj9Sixz00KqqRVHlG3hsrRWcSJuYL9pyU3o/E7BRUXb8MRRdXouWVesSlJmB2bBqzY9NIyknBaNsQv2/3wTZ0H2yTPt/gJM796YTktrN/OIrSy6oD8hlkLspFRkWOojoGI9Q9CDV7YJXZu2BMdI4ELCdkJIFSGnJWWCn+e5iYFRidqP2tc/wgkZL3SWmb0ds2P8OdqGCGQgtMMZDmd+NfxdsjS0w5V/f4GQCfBbjRcTHfAvBNBcU86vsT8iKAT4RTt1BQSp8ihHwPQI+KUfh/ppROCFcQQn4N4ASAzwN4RLT/UgBXUErfEux/EYB/APBVSul/C9Y/AeAkgP8CNzMBX7mVlFKPYL/HALwObkbh5wrrzTCQiM0c+EcN+453YLhp3rEvZ1kh4pKCj8j5909Nycambbdh3X1XLlAM5EjITAqqGABc7OvVX7qUd4L0x1tPulCs6BxBy1Zgz26mwBippFdGwDpWdUTqGekZcjMxKxl1t69H9YdWYOkdG7D6S5dh8UfXYs29l8ses/xTGwPCXwrLWn33ZQERktr3NgWYPaaWZCw4Tguh3lUlz8bqJkWO+MCxp8YXjuHQY7vQ/X4of0p5pHILJOWkoPTy+QR1/ae7AnIZaEHq/SxaVMv/XrfsY5rL1iPhIcMUPgFgvejvSYXH/i+AD/j+PgJOqbgKwPOEkMhPOQoQKgaEkFRCSA6AQQBnAFwkccgxoWLg4w4AcwB+K5gxyQWQCE7ov9gfqYlSOuNXDAgh8T4zoxzffosJIelgRBxTZg6Eo2TCRtc9O4sHNtYE7Cv0R5BjrH1+VHDjh27BO41Kv1flxKUkYOkdG9B/shPdB9swPjGI915+DsWDlSjetEhTmWInYH/HIL43Rgu5YptXYQe1qb8Lu0R1lUqQpdReP9KdXzg+FkYlANPLbyXUeayA3Dtt9DvuSojDis9egu73WzFyfgBzk7MgToLiS6qQlMv5zy3/1Ea0vt6A8a5RpJdnoeam1XA4HSi8qAJNL0nPJigdhBBj1DOXKlPLDJpes27+sgDg0UevhyspLiCSHMApXAP13Vj2qY2aZhGE9RxrH8J45whyVxSj90g7F9KaAu6pWSRkBh8EUnoO/7I/dO74xCDe+NWTqLp9SciBJjms9p0yJGmglB7WeGw9pfR1wfKfCCH1AJ4F8DkAPwq7djrhM5X6HoAbAWSJNkuFZFvo7AnUAYgDID1Fy5ELYIxwH/0DAP4OwGIA4kYgE8AoGBHFFOVASjEY6evFkw9+Hl63G6kp2ZglE1j1xUsDjpPrsIhj/l1afvlV2PDBjxgibHztG7sBAN+8bwOa/nwSAND5XgsKNlQsyJZqB4Rx6qUUlcTyndiXWwS0hTZtCGZmpDSWfbAy9cKKnbDZdZJS5sKpgxolNpKJuRIzk1H5gaWglGJ6aBKuxLgAP4Gk3FTU3b4B7pk5uBLi+PVZNXmovXk1Wl9rCMifEpcSj6R8bWHKzX7mwrZTqaKul4LgL8PhdGDpnRfh9K8PwDMb6Iw8NTCB6aFJJGWrN88ZvTCE/uMdACEYPMP5NHS8cz5gH5fIH0SPgRfhOzI+MYgTP9uHzEW5qLx+acA2tfi/TyMHDRiW4BXf/6swrxzIRR4yRcAghDjA1asUnBnUKXAOyV4Aj0HaukRqWs4Bzm/gI0FO53f6+kcA/wnObOs/APQBcAPYBuAhmXMyTCYiPgfDPd14+Op1/PLkzDCWfWojvywOTSlu0B3O+XdncnQEP/75bYbVdfuObcisyUNSbgofLu/Mbw+h7o4NAfUIhVy4T2FnIBSk1NoUaxXWg01xK+2ohKZKWhUDNcfrjZ6jplZF7/uq5n4JBwcicZ8JIUGFUCnBLqMyhx+sGGsfwvTgJDKqclR985HGf7+VPnsjns0/ff1NTD4wih/uuAnxaYk48sM98MxypsaT3aOqlQPPrBtnf38k6D5FF1ciIUP7rIEYoXK17JMbcfqpA/y24fP96D/RicINFXKHK8IOPiSMsPE3NMIRhiEAIIRkUUqHBOu1mSdwqAl1utL3x0dF8uMz91GazKURwHUATlJKQyU0uRPAHkrpJ0Xnu1rhuRgmEFZPp2ZEULhv07GDAdtSU3LhmQnMnim0LRXjSpzvzP+8838U10EtfmGdEIIlt66DwzdbMNk3jsM7duPsH45iql9dvGsx4g5BL4faYAmEjDT5CbeDi1QHyeKLh0YYbUjL/bKrApZWmoW8VSWITwseKMEqaL3PRnwD23dsw09+cTt/74QRprRkTO473hF0e+FFFSjeVCVZDz1IzkvF4o+uCVg3MzItua+S/DFClISvZQqErbnJ91+o3Tb6/l/lXyEwu9HKBBaaB8nh/wjFoVQ/Ay6sqVKe8f3/LpGwFRRFPfJInC8PnPMzwyKEpRz4hWc1ncr2HduwdNMWFFbP+xaMjvSi/pn3cfYPR1H/7EHcf105vB6vbIOeu3LeMfjQ317UfgEhEF7XP/zTa6i9eXXA9tG2QZz69QE0v3I6ZFlaBHEzHJP1LlMPR0qzO0G7Cq1GI/6upZxBY4VoF8rMep7plfORnobPKc8wPXphCAcffVMyt01CZhLWfnkL1j+4FaWXVcv6MWi9RnG7ljPFRc1JTclGakq27GySXiGhmVJgSy4hhHzS9/clQsiPAPwQXK6DHYL9XgNnw/9TQsjXCSH3gQsNqilRmo+DAFYSQr5BCLmDEHJjkH0bfH//Qwj5JiHkbkLIz8GZGJ0PclwAvjwG/wkuzNM+QsjDhJAvEkK+TQh5C4GZoV8AsIUQ8oxvn28AOAbggqqrZBiKLjMHoRpd8X7Jaen4xou78T/7GuAqmjetG20bxETXKIbO9mKosVdW8UjISOIjCI1N9IZzCSERCkRpJZkoWF+2YJ+B0904+OibuPBWI591dXp4EjOjgSNKUiP6oQRlPYV4ozMuqw1xqmeZDP2R+q7FIUkZHFZ7V6X8vJRg9DMVOnSPtg0u8EXwuj3ofK8ZZ58/iglfvpvR1sEFpkRJuamIS+H8CgrWlsEZ7wo7RKqSax9s6MG+l38LgPM7SM7IRO4K6QHWB+5/WbOCIJcojfkk2IbPA/i1728ngBt8vy8Wmt1QSt3gZhSOAfg6gH/z/b4rjHM/DOBv4EKLPgPgcbkdfef/EIC94HIW/DeAMnAzGaqEdUrp18DlTJgG8M/glKBPglOIvivY9XvgciBs9tXtdt922XoyzIeozcRNCFkH4NDKL2zGvz7yDgD1yoHQ9phSip7DF9D+1rkFx62553K4EuMW2CpP9Iyi/hkuU6U3eRbLPrlxwbF6EMxGun1vk2RIPuIkcCXGYW5iFgCQt6oE5Vct1tRxSTkVClHbUQSLQBQOWjswvabbYxErOC/Ggq+GUkJ9W5G6V2odcc2ImCb0O1h8yxokF6Sh7c2zvHOxkJJLFy1wNk7KTUXtTasQl5oAAEHbVr2/k+M/eYd3Us9fW4riTVX4h6++Zsj9Ctbmj3eN4MRP3wWA9WFE1LE8fnnjc1/5BQpLTMpz0HEGP//BZ4Eov7cMRjDCNitS2igKnW2FxxBCULCuDMkFC6OAyCUu6jk8r9AWrFs4kq8Xwa6Nur3S6z2UVwwAzkZ2+Fxf2OcXzzqE0+FFWqj0o+Ra1NY1Vkazp9vujfi1yn0fka5XpLHSLIIWodVoJaboknmfgO73W9H00glJxQBYGIUod2Uxln9qI+LTEkEIUTTootez8Hq8AdGreo+0Y6J71JSIXEblo2EwGAwpTA29IdfpEEKw9PYNWP6pwBkAz/R8fOwH7n8ZEz2jOPGLfRhs4DoST+IMcpaF9plR2nCr6UQya/OQkcU511VdtxRlW2pk9xVma9UTtUKIWZ2Lls5Yr7pF60i234xHb3Meo5xQraggWEloNxMtkaWMJH91Cf97sneMNx8KRXJeKsoul29npdCzzXM4HchZNu9QnZqSjcbnj6Hl1Xr8139cFeRIbYgHT5gpH4PBMIuwzYr0DlN46tf7+ZChaSWZ+LdfvY2Cqmr8y6eWB2QqBYDSy6pReFHwEHLCxjRY/ZRG8BFOU3s9XhACEAenY1FK0X+iE1MDEyBOgp5DC032ii6uRPGmqrDtY61mi6pX3gItpk9WMLFhBGJWQj8lyCkEer8zRpnt2Q1xXyD1Lpz8xT5MS2Qxzl5SgMzqXJx/+dSCbUs+thZpZUqDsBgDpRStb5xB/4nOgPVxyfFYffdlhp1X3I8xsyLjYGZFDEaYeQ6Ejb1/tDBcYSCrJo9XDsY6hvGdm7ciPjEJA32BgrYrwRVSMRDWS45wRhLFUSqSKp5AWQUnGEwNTEgqB137WzBQ342s2jwUXlSBuCT1mdSV5Ewwg1AKlZY6CeN9KzleznFPWB7DfKygFJiN2nc3mgk1wu1KjgcklINF25YD4BJd+hNPAkBWbT5SNWan1hNCCCqvqUPu8iI0PHuIXz83OYvp4UkkZiYbct5Y/J4YDEbk0NWsSI8GrHjTIhRfUslnQaZe7wLFICEzCcvvukRVvaTqptcUrdhcIbF8J5JyUmRHuWZHp9Fz6AKa/xo6BGqw81iFYHXSUmc1fhVKlYdoxoxrjMS7x0wolGGFdkFs8iIeOBK3vxXX1EmW45/JzqrNx4aHruL/qj+0gu8TtNZPT1KLMrDu/iuRmDWvDEx0jep6DimYaRGDwTADXTIk621CULxpEQrWlaP/dBcu7G7k16cUpWPp7Rt0OQfA1VdLeLlQ6/wsvmUNRpr7Mdo6hPx1peg92o6B093wzHDh+2YkRs7UnDvSqMnqaeRIqlQ9YnnU1ggicT/1ak8ikX3WbP8eK73vwRJY+knKkc6MPNkzhpTCdMPqpCcOpwPpFdmYHpoEAAyd7Q1I8sZgMBh2xZQ8B1pwJrhQsLYMqUXzHUX+6lLdz6MULY6/xEGQWZ2H8qsWIzEzGeVXLkbh+nJ+v4T0+Yyr4QovkRIO1JzXSAFNr0hOdiTWrlcvjHofzX4eRp9PycyEf3Yg3FHt4fPKE6OpRe8R9+mhSfQebeeXh8/348xzh0G90pHs9CAWExAyGAzzCdusyD/NaVSDteiGFchdXoTCiyqQWZOne/nhOM1KjVaHKk/Y+U0NTCwoN5jtvFTZVhOGxXWxUt0Y9kdvAU9PBSGxfCfuvqlSt/KUYIZioDfBnuHQWX2TWorPJXdute/VZO8YTv7yvQXrxzqGMdk3rqosLSQUPmz4ORgMRuyiWTm483ZlyeyUNrpy+8WnJaLy2qUovawazjin5D7hEm62YjUCeuW1S/nfc5OzaNt1dsE+wTpkLSPkRtski++f3P2MlKJgBZvsaCHS99LKo6ZmKwZmo+S5q3k+SbmpC9aF41cgxt+nhFIQhPsp6a/mJmdx+un3ZbdLXReDwWDYCVPyHFjFgcov2GgJuynerlVASspJQdkV87G6B+u7+fKtYB6glWCKgFVmN6ymIAjfR6vVLZbQ694zk4/QCGeZpaI5Tw1MwC3IbxMuYsdo/385xUEOr9uDtl1ncer/9uPYk3sl90lNyUZqSvaCKHZSWKVPZDAYDCl0UQ6CdYjbd2zDky+0yG4P12/Bjo1swbpyvgNxz7hR/5uDoN7AfBN6Coti4dzM6DZM8JVGrXO7lbCCoqc3Wu69XZ6XGsTtqRGKvX+EPrU4c8E2Z4ILUDh5oKTtFyojUuavoZYBwDPrxuHH96D3aPsCU9DqG1YELGcXK/OLY0okg8GwMmEpB8KRsmBTsnp0LmqUALlssuHWQ09hYMmta/nfE92jfFIdsRBvhJIQjcJdMKxwvUqUJSvUMxR2qKNW1ETeCpVfw67ICa1GZDD/7z82omhjBeLTE+FwOZC3shjLP30xXAlxisuT63eE64TPSGowyt+PyV174/PHJNc7XA5kLc7H4o+uAQCMTwzCWzAhuS+DwWDYCc3KwTPP3hewrHVK3Q4jKMEUE62dZkpRBhZ9cDm/fOGtRox1DGsqy+pYQaCMRaXIKthpdk9LTo5YQW8FgRCCkkurserzm7HuvitRcU0d4lMTVM86ivsQqfdNSkEQbpM7z3jXCMa7RhasdyW6UHfbegBAenk2Kq6pQ/Ellchfa05EvZnuR0w5D4PBiE10yXMALEzvLpcQR3xMOMqBnNAhPL94Stkf81xN3H1xHfXqJLPrCjAzOoWOd87D6/ai52Ab0gzKAmpGxla5Dtbq2WKNrp9VR5eNjDJm5jn0Pl+o98HK77JSzPomxW20v20WPyMts2lyoVOFbb7ccVJI3ZPW1xsCltc/uBWzo9NwJrjgSpyf4chbWSxbTwaDwbAbhjgkq7UFVYLcvsHWSzmjBUPpaJVewl5i+U7krpjvVOKm0nQpN9j5jMSOQlMo85BwTbvkklQpnckwwm9DGH44VjKu2vHdNBK5+yFljqkV8QCRODma2ORT6i8Uofzd/GUD4H3fpPwq5EhITwpYbvrTCcSnJ8KVGMf8qRgMRtRim2hFUo2w2hFCfz38nUGwht1oBcF/vMM1/whWb73OkHP5sUOiNK0Y9Y6Fi5J3TQ6jBA+xoGbUyH4klA69riVWhT6934VQ75fRyqlQQdAyG1SwoTxgefh8Px9hjsFgMKIVU5QDQHp6WSnCjjqc0RrhOSMRwUeK3iPzGTbPdL4BwJj8ANE8chqOcKE0hK3ejuGhsHM0IyF28CmSw47322oE+zalAlpo/ZbVPCs1TtdpJZlYeucGxKfNZ7NvfqUe450jGD/zxZDfcizMyjEYjOhDV+UglCAgbCi1NJqR7Kz1Pvd0272glKLj3fP8uoyKbFPObSSRSHym5+h3MOVT63NQcw/E59crv0YksLNiwAgftd9lON+xmm9Mbd+TUpCOVV/YjNwVRfy6ht8ewtEfvY2Dj76Jg4+9if5TXfB6vAuOZd8Ag8GwI7opB0obwXDzGkQKYdZfvSLfjJ/5YsBynGB0ysrRdayUw0APswSp+yx3beEoCKFmq+TOF6shaIOh5Zmz+6cMs9tmM5PHhXOeR35zAnUbtizcQIGWV+txeMduNL+ZiunpuyLeLjIYDEY46G5WJOUILF6npmPXexQ3nLL0Fi5cSYHxvKnEyJMRZi16E8p3Q0oI1kuxMFqwMOK+K811IKUQaH0H1WaEjSWY8rUQuw3eqEEc5UhqgEFSUU9Nxb889wr+/id/RGqK9Czv4Mk9OPXj+zDeXm+JwRMGg8HQgmE+B1JCm9oOR9ywigUnu0MIQVJuCr882TcuuZ8awcWMDkmpwCo1Si6nKEQataY/ahBeu5JjjRBUhQ7I0aAgGGV+whSF2CFU4k6p75UQgrXXfBBPnOzEzxtGsObey1F7y2q+HaeeEVDPCI7+z82YarkHgLUHdhgMBkMK3fIcKEGtSZFw1DxcxUAudGqoUW+jhYSE9CRM9XNZNQfru5FelqWpnGB26kag1JHXCk7fSvELBEZgpWuP5lFhJSh9zkxBMA+z82GoDYgh9S7sfPJmuBLikFGRg4xP5YB6vTi0fTe/fbxjGMSxMK+OXHhjBoPBsAqmhTINxxlZjxkDPRIjqVmvBEoppgYn+GXhLIKaepmtGITCCnXQit6zU1ZSCqyCFWYu7PyORiNWVFjVviPE4UD51sX88mjbIF9OtM16MxiM6Ma0UKZCzO4IggkjasJKim3l5RxIlTrszgxPYWZ4il8WJkQzgwfuf9lU4TXYvbaSEB2qIzeic48lU5ZgGdPNRHjPrfT+xTJWUByFyL0fcu9wZnUu/3vs1BhuveGxoOUyGAyGFTFdOYjECFGocwYTzJTMGARTBIIm3hHMGqQWZ+Dv//HVoPWULCOMTmb7jm388XpmRg2GnWy6hdP/WurMBE57ECpLttWxa72lsPIMgjjDsxRf/dc3eQVhfGIQX/vAKsyOTYd1/ljJYs5gMKyDKcqBFRt8KdQKgEKhcVN/l+rzDTf187/z15SqPl5YDz9KMjtLKTJKOj69sYOCoAW9nKytLvRZvX5KUBJO1g7Ytd52QawgyLF9xzZUXrd0fgUF6n9zMKxzmxnqlcFgMIAIzBzYYQRETWQgP7smv6NKWZibmkX/KW4fZ7wTmTV5hofkDCUIRaIDsqqCoNXcJNaEND2v1+z3z4wwyWZgl5k4tdjtOfhxxrtQee28gjA3MQtKaQRrxGAwGOoISzlQKugLoxRFwt8gEgqJX1mQYnZ8Bsd/8g6/XHRxJRzO8PQ0pdGDrIzVhYFgwqTW2YJQSojV7onUtxQto+8MayD267JS0sVQTA1M4NBju9Dyan3AekJIhGrEYDAY6jE1lKlShAKIPy67FqXC7PB4wRDWpflvp0E93EiSM8GFnGVFup5LLvSeVRUEYWhJM8LHqsWoOoVyfOZnn5L/Dbsmv6PrubWGU5T7noxKFgcY895aXci0I3q0t0qSA1qZzveaF6xb/XeXRaAmDAaDoZ2IRCsSIjUSKc6mHE3mLnMTMxi7MMQvV9+wAnHJ8Yacy2j0nJER+03YUXhT668CBFc89FYI5M4vN0oLhE4UJYfeGczt+D5EkkiYwxmVYM8uioHX48VwU1/AuqzafMQl2bN9ZzAYsUtYyoEeQrtcGXo4yIZbPz1tef118bq9Aeu79rfoUn4kECtx4WLlSEZKhSfxbECwKFhKZiT25XKzSkabxsmF5Q23TD3NQcxSEKz4/qlFTUI/PaM16TWQY+W2QA735Cw/I5xekY2629dj0bblqspgijCDwbACEZ85CIZVTIL06qAeuP9lJGQkYcmta/l1Yx3DcM/M6VK+VqwkFPixolAQTFgJphQoOSYY+3KL8OQLLcorqhA5AUy4PpSfkJbwrloULfHx4byzsSJ8afmGIn1v7KYQCHEJZoBHWweRWpQB4lDuayAOj81gMBiRwjDlQBw33yqCvlb0sOH334O00iykFKbz60/+fB+8bk9Y9YvGzsQu1yR+D0LVW40A5N9PS6hcNRg9UiscydYaLphhDGrfX6XYITKdnoiDSnS/3yq5nxKnfgaDwYgkmpWDO29/PGBZqAyIGz+7KwZShCuslG6p4X+7p91ofOG45H5aO41ImBToTbB7bHYUKi3hbcXHaxVyrS4YK42UpaeQr7UcJYpbrGHUtx+N7X4oSjYv4n+3723CuT8dh3s6cGY4Fu8Lg8GwF7pFK/I3eEIHYitFC5JCbf30FBzSSjJRuL4c3YfaAABjF4bQ8mp9QHxsvSL4yI3YWlEhkELq+v3Oj1Z6x8J5TqFG1Y10TjYCo6M7GUGsKQbi7z/Wrl8t4ih6UhRdXInpoUkM1HcD4BJdtrxSj5qPrDKljgwGg6EHmmcOnnn2Psn1wkbTKkKbHEIlJhJT4CWXVwdkRu4/1YWBhm7JfbWOeNpFAQjFA/e/LJm0zagIKWKkYvmLo/zoIVyFel6xZqphBlY3WzKqfRLOZln5+q2Cv70J1a9VXb8MiVnJ/LIj3hmybCkfJeaczGAwIkVEHJKtKODoEZ9bbUNOCEH51sXIXJTLr2v+62n+d7gj/cH2t9Oo4d03VfIOuVLXZHYIRbHjoB73TmkZVle4AWu/S1auGyM6mJucxfTQJACAEKDsilpFxwmVNHFoZwaDwTATw5UDodAWqRH6UBiRuEfNdVZ9cFnAcs/hC/xvM0wp7CAwTbfdi7tvqpTdbpTQrDT/gprQkcHOZYdnwZjHjMy9kcgszwgNpRTD5/sxUN+NualZAMDs2DSOPbmX3yerNl9zHhumIDAYjEhh6VCmdkCsBPgb8WCZZMUNvSPOiewlBfzywGntkWmUCJh2C5mnR86LcAh2P5WELDWSSJseCM9vtnJjt/eYYS6eOQ/GOoZDRoLTmo+j71gHzr14HM1/O41jP9qLkZYBtLzaELBPyWXVIc8dDDZYwGAwIoGuyoG4cQ02eq50FiHSwo+eyAkzhBCUX72YX3a4Am1U1Ya99P+WsikOdi+tOrMjJFKdpdVH9aPlG1GK2N9DuC4UVn6ODP04/+cTOPPcYRx+fA9GWgcUH6f4PRqcCFhueukEXMlxAeviUhNUn0fcBitpuxkMBkNPdFMOEst34u6bKoN2vMLp8VBT5WKlwKoNo1RyqmDOq3KcE4QyTc5PW7DdSOHUTAXM6spHKKzmxBlp04NIKmt6HK9HFDC5ZUZkmewd5383Pn8MYx3DupY/Oz4TsOx1ezHY0BOwbuC0dIAJILjQL6UgWKG9YTAYsYFuyoG/4RLmOpBTANQoBeLy7YCamPj+ax3vHOHXK4luYQRmmO2YFV3IDKwiDCr1izDy/JH4PuVmx9QcrxbhvWUCm7VxiWz9G/9wFJN9Ywv2k3p/5L4hr8eL3qPtaHj2IIab+kPWIT5NfubAf24x4nY4WtpLBoNhH3RTDvRqwPTIRGwWUoKC1ghD6WVZ/O/u91sXJM4xGn+9zVIQwsUqgrlV6iFGqx11LKH23jD7cHsxOzodsOz1eHH6qfdx9vmj6Hj3/IKRfzn8fdsD97+MvmMdaNt1FuNdowH75K0sXnBc7vIiZFTmBC1b7p0ShwRnCgKDwTAT3ZKgCQm3MfNHfrF6Z6s1262UOUL1h7+EIz98i1/X+noDqj+0Muw6Kq2T3YjUO2JVQTtUtCQ7fE92wE6DF7EG9VK4p2YRl5IASik8s25+W1JuKqb6OTOj0dZBjLYOovdIO6quX4rM6jx+v2Aj+dt3bIMjTjSrS4AND14FACjcWIkLu87CPTWL0i01SCnKCFnnaAphzJiHEJIJ4H4AHwFQAyARQAeAPQB+RCndH7naMRih0WXmwK8I6JkZORo6XHEUl2B2zik1P8bSOy/il4ca+9B/stOcitoYM4V1qyoGfqLhmwkHo0dXld5fNsprPtTrxdnnj+LYj9/BwUffxKHHdvHbXIkuLLl1LXKWFQYI955ZN869dAIXdjfCM+OWKnYBI+cDTYnW3rOF/52Qnoiaj6xC3e0bkFqcCUJImFclHyr3ztsfD7tshjEQQlYCOAHg3wA0Avg6gHsBPAvgUgDvEUKWyZfAYEQeXZQDoVIghdWFKqNQa5OcUpCGjKr5aeiW1xqC7G08VhZyIu2srodDqxFYrT5mYpXRVavUI5boO96JsQtDkttqb1kDV2Icqq5bhjX3XI6ld2xA9uJ8biMFeo5cwPm/nlJ0nmGBclBxzRI4EwyZfOeR8yd65tn7DD0vQxuEkDQAfwKQAmATpfR2SunjlNKfUUr/BcBSAA+GKMNJCEkyvrYMhjy6tWxSHaLflEEPgUU8O2F3pCJVJJbvRM2H78Gh7fOjXoNnepC1OF+XUSjhecXnZoRGbLpjVUHcLmZ5YszO2q1H4joxQoU6WtoqOyCOEgQADqcDi25YjpSC9IB1KYXpqNq2HCnFGbiwuxEAMNI8gJmRKSRkyMtk08OTAcuJWck61V4dieU7Md71iYicmxGSLwGoBPAFSulB8UZKqQfAdv8yIeRKALt8x6WBm2GoBPAxAC8QQgoB/D8ANwDIBtAG4NcAHqGUzgnK+SWAzwAoBfC/AK4DQAD8GcBDlNJewb65AL4J4EMAigCMAjgDYDul9HdhXj8jSjA0CZrenXs0drbie0QcBCkF86FMz798Coce2wXqpYadmykJ6rCD0G2HOobCjPdSb2WZZTOODMIADgXry7Dskxux9r4rAvwJhBBCULC2DPmrS/l1o22DQc8xOxbowByfmhhGjZVjpdDJjJDcBGAGwNMqj7sfnGLwMwAPAGghhGQB2Afg0wCeA/AQOHOlbwH4jUw5fwGQDOBfATwF4HYArxJChKG7fu8r81nfOb8HoBnAZpV1ZkQxxs6J+tDDB0Hs5CwsT878Re059ahnuCSW70TZ1k+g/a1zAeFNuw60oPiSKlPrEul7EQwjRn2VnpdhLHbNneDHyuZ40UpcagKmh7iR/ayafCTnpSo6LrUkA73H2gEAM0NTQfdNSA9UBhIyw7P8UDK7J+6TWPtjKnUSM/ZdlNKuIMcsA3CGUjodZB8pigAsppTyGioh5PvgZhFup5T+1rd6JyHkCQB/Rwi5jlL6iqicM5TS2wRlNADYAeDzAJ4ghGQAuALA1yil/6myjowYglCqbkSaELIOwKGVX9iMVAXRGPRE3OmKFYRgCoQR6G26IXRgBoBzfzoeEEu77rb1SC3O0FWJEZ8z0uVoPW8kzs3QFyPeIa3fSqj3Skm5VhhsiBVGmgfQ+MIxAEBGVQ5qb1qt6LjJ3jGcfvp9fnn5Zy5GUnZKwD6UUoy3DyMuNQGnfr0f1MP1mevuu2JBNnslaHnPxf1b87HDePia9QCwnlJ6WHUlbIJf3oh0PQR8i1L6TbmNhJA5AO9RSi9XUpjArGg7pfRB0bZ6AHGU0hrR+nIArQCeoJTe61v3S3BmRZsppfsE+yYA6AfwNqV0m28GYQzAmwA+IzQ3YjCE6DZzIOwIgwno4g5T6eiJsDy5kTkzR+zMGLWu+fAqNP7xKEZauMGEht8eQmpKNr71+hVobTqCuclZJGYno+TSamTV5MHr8WKwvhtxqQkB8bX999gz68ZY+zCGGnuxuPIKdHuOo6Q8cJ9wiZStO1MMogO9R++NEs6VlMsUA2OQEq7TK7P5cKUjzQMYax9CWmmWXBE8SXmpSMxK5mcdTv3ffqx/YCsIIaCUovW1BvSfkh4onh2bCcvvQE1bKQynCgDjXSPBdmfowycAiKOCBJs1ADj7/bQQ+0jRJLGuCsBr4pWU0jZCyLhvu5gzon1nCCEt/n0ppbOEkH8A55fQRQg5DOB1AM9SSo9pqDcjStEtlKk4aYuS/cSNYyjh3q8YRNquN5Ri4M8QrRa/Xamw/KoPLud/p6ZkAwDOndiPuclZ7pjBSTS9dAINzx3G4cd3o+W1BjT+8RgOPvomzv/lJLweL1fu0CROP3UA5148joHT3dj38m/R/Eo9Tj95BajXq+i6lNTdbMw+73/97rhp54o19HyOerYRzCfHmgifCyEEeavmE5H1HetQVAYhBEs+vm5+BQUOPbYL/ae6cPIX78kqBrkrijUrBiwohG1ooJQeFv2FUg5OgzNHUuuQEtymTRops4+QpiCU0h8AWATgK+CUkrsBHCGEfE1DHRhRimEZkv2ds9LwpsGEaaUdvXg/rUK6UuSEGeEMilYlwY8rMQ6rvnhpyGPGO4YXNAuDZ3sx2jIAAGh78wxmRhaaQQ429ODc09fxy+F2VtE8gv/A/S/jq7euUryv0e8fgxGLyAnX2XUF/O/Bs72KR9fjkuNRdd3SgHUtr9ZjZmShvOZKdKHi6iWouGaJ2moHwJyMo5YXACQAuFOHsprBhT4NgBBSBiDVt11MnWjfBHB+CwH7UkrbKaVPUEpvB1AC4F0A3/Htz2Dol+dATngXKgj+fdTaXArT1werg1x99BbSQjXqUknhwiE+NQEbHroKPzzejsWfX4X1D27F+ge3YuXnNyNnWWHQYyf7xjE7PoPRC0NITclGako28lYWI70im9+n5/AFnP7Jg2HVMRZQMxLtfweZaQmDoT9SCoIrIS5AQTj7uyOY6BlTVF7OsiLkry2V3OZKdGHtV67Ahoeuwpp7tiBvVYluoaUZUcePAbQA+C+fv0QAhBAHIeQ+hUnQXgRQTQj5mGj9Pwu2i3lQtPwlcIrEn33nTyaEBEx5UUqnwJlPxUGbSRQjCjElWhGgX8QiO6G33bPD4YDDOa/PJaQnouq6ZZgb44R/AFi0bTmGGvsw1Mj5GXXua+Yc7HyzCtPeMSy+ciWSFz2Jrr3PoekP/w4AGDz9N4y1nkBaxUpbxshnMBixhVTEsoqrl2BuYhZjF4bg9Xhx5reHsPyuSxZEGvIjHKgqv3IxCjdUoPfIBThcDs53qyoX8alsMJWhDErpGCHkwwD+CmA/IeR34Eblp8DZ/X8UwBIAKxQU930AtwF4hhByGYCzAK7ylfEHSumrEscsIYS85Dv/MgD3gAt/+jPf9sUAdhNC/gDgFDgfifUAPgvgFUpp/8IiGbGIoXkO/MiNoAob9mB+CnrVIVIYfQ21H12D6htXYsVdlyB7SQEW3bAcWbXz8b2b/nKS91dwT82hcx83w1h02cchHAA79titmOxtAcBsYRkMIex7sCbiXC3OeBcWf3QNUou4xGdejxcDp0OZic8Tn5qA0strULxpEfJWljDFgKEaSukJACvBJS+rA/AIgJ3gTI3eBbCRUnpaQTlD4HIP/BpcvoLHAKwB8A0Ad8gcdgOASd85/fkRPkAp9SfpuADgVwA2+srZDuBKAN8Gp3QwGABMUg7EyNmMKsldEA5m2X8HM3EyAkIIsmryeAc5QggWbVsBZzwXZs+vGIxPDCI1JRvuqTn+GWz+71NILZ4PSXv4kesxfOwuNnPAiGmk3n89FQTmi6IfYjNPQggSMuctJ4I5DjO7f4YRUEqHKKXfopSuo5SmUUoTKKWLKKWfF2ZOppTuppQSSulPZcrp8h1TSCmNp5TWUEq/LcyOLKKHUnobpTSDUppOKb2DUtojKG+AUvoApXSlb58USulSX10ndL4NDBsTEeUgFGIfAy3CtVTna/bsQbiOyeFAHAQlly4CwCkF4xOD/O/UkkwAXMc4034fam9ejeT8+aRBHe9IRVWLLInlO5mDL8NUzBAa7TwIYmXmJuazGTP/AAaDwVCHqcqBsNMSRmtILN+pyMRIK5EwKbKCf0T+mjKs/Owm1N68GtmL85FVm4/Ka5cucGJ2xruw5NZ536mhxj5M9o2bXV0e//sg/AOAJ19oscR9ZcQuRpgX6S3Ms28EyF9bxv/u2Hc+gjVhMBgM+2GqciCVEA2QntoNp4OL1MhZqPNGol4JmUnIqMzBohtWoPpDK5C7vEhyJC2l5sfIXTkfJ/zci5GJ589suxlWQqpt0uMdVZIXhqGd+LR5X4HpwcmAbeLBKCvAZnsYDIaVMEQ5UNPQ6ZHfQOq4SGHnRr744kr+9+zYNMY7zc3CGarDjkXbYDu/T4zg6BHBjQFQb2CCl9mxaZx+6n1+OaVgPjqjsI1hCgIjWqCU3uXzXXBHui6M6EB35UDcwAWzE4/GjlFudiQSMe/Vdjbpy3/OOzEDwPTQZJC9A9E6Gic2HZIiVp0GleT3YJiD+B3Ue/aAoY32t8/hyA/3oOOdJlCvF1MDEzj+03cD9qm9eU1kKqcAYf/I3gcGg2EVDMlzIG7k9Gr0tIy0mdngWr1xDyXQUK+X/02cBJk1uZrOoVSQF9dHGLc8FpUBMXol0WPoh/AdZflAIgulFD2HL4B6KboOtKLrQOuCfepuWwdXUhy/bLXn5U8SavW+g8FgxBa6zxyoDUeqNutssNFU8ShMpBpcYd0i2eiLzx2qY5zqbYZn1gMASEhLhCshLuj+asoWI1QMhKOysTpLEAyrCw5KZn+iCb1nEBjaIIQsMCny43A5kL+6BKnFmeZWCupnUa3+fTMYjNhDs3KQUPiw4gZQr5FP4QiLVINqhUbWCiFUtTI9OJ8saHp4CpRKd7yyx6sQ7IXRqhjRQ6wIy0xBsAZV1y9bsC6jMgfLP3MJyq9aEoEasQEOBoNhfyyZ5yAUoZyYI4F/1sI/Y6FGITJTuBAK5eIOzOn+WcDyzPCUafVi2Bfhe8SEIoaZZNcVILM60PxxamAcCemJEaoRg8Fg2B/NPgcz3Y8greJpflnsVKXGtEaJQ5bV7a61+FlYwb5eeO6EzCQ4XA543ZzvwWjbYNDsotGI2c9E/F7bZZaJMf+O+M1ImGIkjZE29YQQVN+4Er1H2nFhTyMAYHZsBg3PHsSS29azBGgMBoOhgbBmDoSdodbGXygcKVEAosV5y6qmCEWCcKajbUORq0iEMeP5WF3hVUMsC8ZCJYERiBkRtwghKFhXhpqPrOLXjXeNYrxj2LBzMhgMRjSjm1mRHuFKg+0bzNfAblhZiMiozOF/z45Ej1mRUuFEaG5llqPtky+04MkXWgw9hxkwBcG4b9vKbUYw/O21Ge935qJA86LEnBTDz8lgMBjRiC7KgVRuA7XHKRH6o0ExAILb/Uea+PRERONMvNp3J1LPJZpmE2IVIwR5q7UTati+Y5uh9aeUwuvhTCGTclP59a5E5dHWGAwGgzFPWMqB2FdArd2933k3WoR+qxAs8VwoXIlxSC3NAgBM9o1j6GyvLnWK9MhnuEK3EfXfvmNbwIiq/3c4z48ROVgEI3NxT8+h8YVjOPTYLhx+fDd6j7UjIWPeEbnpTyciVzkGg8GwMWEpB0KhXvw7HB8EJhiFh9J7L3efsxfn87+b/nISLa83qA5rKkZu5NCs+Phq38dICXdMWbY3YrM0hnE0/+00RpoHuAUKtL15FsNN/fz24fP98Mx5IlQ7BoPBsC8RCWUqpwDEahp5IxSicMy0clcUIbkgjV/uP9GJcy8eD1tBsIOwJFRWjArRKefLoIeDP8MaGG0GJPUtxdKgykjLwLxiEITpwUkTasNgMBjRRcTyHIiFHynFIJY6OytBHA4svmVNgIIw0jyA7oNtYZU73XavpFBjNXtqozI2x1IWYYb8+64X4rJjRaGkXorGPx7jlxMyk5BSmC6571TfmFnVYjAYjKghIsqBnGIQar9oxYqmJK7EOCy78yKUXVnLr+vY2wRA3xkAKyoGRhDqnlntPjD0wajnKldutA+oUEpxaPuugHVL79iApXdsQM2HVyJ/TSlSijhFwZngQoYoghGDwWAwQmOpDMlWE5DDIVgnbafR4/w1pQHLo22DALRfAxOCpTErbKrViXbhVk+kviW12dmtjvh7aHqJczJOTckGABRuKOejEmVW56F862IsvX0DVn5+E1Z98VLEJcebW+EQqPm+o+k5MhgMe2EZ5cAqioHf/j/chjnY9dhJQCaEICl3Pl74uRePY+jMexGsESNaMSNhViwQTQqCsK2c7B3DcFM/rxis23ojSi+vkTwuIT0JzjinKXVUgxpTM6v0iQwGI/awhHIQrBFUm0E5HIR+D6xhnqf25jVISOdCBHrdXpz+yWcxsP8TmsuLxdFxpQqhnRRHPVGb88SKhHqvzXzv7XoPgzE7PsMrBgDwwE9/G8HaaMdoXxQGg8EIF6I2Ag0hZB2AQyu/sBn/+sg7/Hq9O6MH7n85Kjs4O9P6xhn0He8AwPkkrLnn8rDKSyzfGVPCMPM7kMfukcqkIlzFOnrck57DF3BhTyOc8U6kFKTDOzifofGJk50ArP3OGKX0jneN4MRP3wWA9ZTSw7oVbDH88kaETh/V95bBCIZLj0LCafTklIBQZQoFLdYhh0YPZavsylpeOXBPz8Ez64YzXvsrFGvPTWrEMNbugRxWFvAY5kO9FOf/eopPwuiZ9WD0whAABMweWB32XjMYDDsSdhK0cBs///FyJkPRYjsbSfS6hw6nA/mr5x2Uew5f0KVcOaLRQZcpA9GH2nc02t5pOdS+65RSNP/tNI79eC+O/eht2ezs4xODGJ8Y5POusD6CwWAw9EWXmQM9kFMy5NbHspCldtZEz9GrpLx55+TOfc0ovqRKt7JjBTPeXWaWZw7MnCg4au7LVN84Buq7JbfV3bYOXftbMdIyn/js0f+9Hn//D6+EXUcGg8FgBGIZ5YAhjZQZSiQFkXu/9hy+s28rv8yEUGvCnol1iSVFQo3ylJCZtGBdyeZFyF1VjLikeNTenImewxcw2NCN7LoCOOOclnrPo8GpnsFgMIAwlIOEwoeRWL4iwI46ljo9M7CiffoT990V6SowGJbBCt+kHVASfMAZ70LV9cvQ/LfT/DpHnBNxSfO5CgrWlaFgXZlh9QwHphAwGIxoIexQpkIBVpjIKRrtxc3GP0sQ6dkCIf0XWvnfDz/HpvQZ+mFke2Hl9siq9dIDYbul5Dpzlhai4uol/PKFPY2Y6B41pG52gflUMBgMszE8z0GkFAUrCwNWJ1giuPGJQf73cy8+aOhomVUUIoY5xGr892h/z/3Xp/Q681aVIKMyh1+u/81BdO1vMaJqtoDNSDAYDLPRrBzMdD+iekRbjcAe7miJlUbb7UQwu9np4UkA89FCiNP4HHrsGcYesaggxAJqnmvZ1tqA5Y53z+PCW416V4nBYDAYEujikGzEiJ8VRkti2ZdC6v73Hm7nf2fV5MGVGGdmlRgxgFHfmr+NsqIfTyyg9j4nZiZj3f1XovtAKzrfawYA9By6AFdiHIo2VhpQQwaDwWD40W3oV419vF1GBs0UHIyyK5UzDwqGnGI22TcGgMuOvOhDK8Kum1UIZkbFiG7s0hbFIg6nA8WbqgJMjDreOR/BGjEYDEZsQPyJZBQf4EtnvvILm5FalCG7n5JO1+6jdrEUxnNuahbHf/IOqIcipSgdS2/fEHaZSiKYMBh6EqxdYu+iNaGU4tBju/jltV+5As44ZwRrZC5Spp4fvuL/4eFr1gPAekrp4cjUzHj88kaETh/V95bBCIZhRuPM5t9ehBo57znYBurhFMnMqtygZek1GstG8q1LNEYks8K1RON9lcMz50H/qS5MD05gdnwGcgNV1Bu4PlYVA/8yaxcZDIbRhOVzoGTkPFgoO7uPHEfTrEHI5zg0yf/ufK8ZRRdXyu+r8ZlKdXqxNDtjV+zkm2P1iEj+e+hXEOxwT9VAKcX04CScCS60v30Ogw09/DbiJCjbUoO81aUghMyvJ1IlMRgMBsMowlIO1AptUh1zNHaA0Uju8iIMN/UD4Ebyxi4MIa0sS7fyg42Gibc9+UIL7r6pEoD1FLRYeJ/lhGvhejveA7PqrOQdsVJd9GKsfQhnfndEdjv1ULTtakTPkXYsvXMDXAlcwAPimJ/gTpTIomx1/O2XlrZq+45tkm3jM8/eF3a9GAwGQw5dohWpwa4KQqyPYGdW5wUsj7QM6KIcqJ0if/KFFky33YvtO6xhBiLEavXRGzXXZ+VvWm72wMp1NhIjr3tmdBo3XfcfeOGVfwmqGAQcMzyFU7/aj5Wf3wyH04HZsWl+m3vabUg9rUws9zsMBiMyGB+oXgIzO2C9BDbWQANlV87HHieO8Of6776pEk++0IInX2gJup9/+/Yd2wLeHSsLcnorCpG2M9ZyPbFiO68WK7+3ejLRNYITP3sX3/n4Vpz42T7Z/ZZ/5mJseOgqLP/Mxfy6uYlZnPzFe5gensTUwAS/3j09h9nxGUPrrTfbd2xj/QeDwbAVps8c+DHL9jdWOmIz8EzP8b/HLgzDPT2nKteB1PS63zxIjF8h8D+/7TtUVjZCGPW+2Um4sLpdPxCZ2QMr+mYYVZe5iRnUPysdZKbutnVILc4E9XoBQnj/gqTsFNTevBqNfzwGAJgdm8bJX7yH0i01cDgd8Hq8AIDjP3kHAOBwOZBalIGyqxYjKTsl4ByxOgvEYDAYehCRmQM/rPG2FxM9Y/zv8a4RdOxt0lROqFFwv+mQ3d4Pq9VXz9kGNXlM/Pv7sdMMgtWeoRA73ceRlsGAZUcc19Wkl2UhtTgTAOdLQETexhmVOVh992VIypkX9tvfOscrBkK8bi9GLwzh1K/24+wfjsAz5+G3Wfk5MhgMhtWJqHIA2CvkaaRNOyJNanFgXou+E53wzCq3AVY6+m2X90EvjHqv5JwZ9SDYM7LiCLkaYimcqFHEpyYELK+9dwuWfXIjam9ZHfLYuOR4LP3ERcheUhCwvuq6pYCMNeNo2xCO/GAPhs/3SyoSSlD6vGO9H2AwGNFPxJUDO2En0w4jKLyoAmklmQHrxrtGVJXhv4fR3MH6hQylwoaR71U4ZYcjJAtDcQrDc1odqWAJeqHXQIgd7mNaeRYcLq57cSa4QBwOJOelBkQeCkZy1Y+w9O7dIM75AYnWN85gzT2Xo+r6ZchfXYrSy6uRtTg/4LhzLx7H4R27MXSuT1O97XBvGQwGw2hsoRxEsyBpN6aH5/MdZC8p4E0E9MDvnBwtz9tqI+d6j4YruT4jhe1wsEo9ohVCCO+P5JlxY7J3LMQR0mVs/PZrvILgdXsx0tQPZ4ILyfmpyF9TiuobVqD2ltVwxge6zzW9dCL8i5DBSGXen+SMJTtjMBiRxBbKAcAUBCtAvRRzE7MAgJxlhVi0bbmmbKVS0TuEEYuM7HzNcoK3mmIQLnLOu4zIYId7n103bxZ05neHMaFylhEA4pLTkbl4PopR8yv1OPficbS81oDDj+/BeNcIMipysOaey7H4o2sCjh1rjubLMgAAZldJREFUH9JU70ialMX67HSsQAi5ixBCCSGVEazDbkLIbruUG80QQq70vQ9XRroufmyjHDCshcOlXilQwt03VRquCDKbcmUIFRypqFJKlSA7J0ezW32tRPGmKmQv4cx+PLMe1D97CJN946rLqbvrP5FSvEZyW8OzhzDc1AfiIEgvz0beqhJ+25nfHcHw+X5NdQfUKWB6tlks9Kl9EQh5Un/qX36GJSCErCOEfDMcZY4Q4vCVcZN+NTMOzcpBQuHDAUKWGYIWmz2ILMKRv7jkeF3LvvumygABNFTGZK3vgligZUpCcPz3K5iwoiaKEUMb4nfUDvfa4XKi6oPLed8DAGj47cGQfkria53r/nus+cffoOzKWl7ZENL6xhm4p7gwy+VXLUbu8iJ+27kXj2O4SZn/QTj3VG9hnvV1tudnAD4l+vt8RGvECId1AL4BoDKMMhy+Mm6S2PY2gDTff0tgWJ6DUHGmtY4mxnqm4kgyfG5+FC6lKD3s8rRG09Hj+dvJSVYrkbg2seJlRULVS2l7pDYqkxIBP1S7aQelQAghBCs+uwnnXz6F8Y5heOe8aHz+GJZ+YgMSM5MD9hU7sAuZufBlFKwtA9aWYdE2wOvx4uzvj2C8cwRzE7M49+JxLPn4OhAHQflVizE7No3RNs6s6NyfTmDDQ1cpqq9eOTqkcrr4UdL3GRlpjGEK71FKn4p0JRj2gFLqAWCpmSXdzYqUjMSqdVKUEwaNdtxiTmGBCMOWdh1oxfTQZJC9leGfQpf6MwOrCVtGvdP+6zTzeq06o2B2feTaRKn1fuFUalbWavdRKfGpCVhy61oUrCsDwLUjne+eD9hHbYQvh9OB2lvW8MvjXSM4tH0X+k92wjvnBXFq79rCfW+F3y7rQxhqIIRsIIS8TAgZIYRMEULeJ4TcJrPvHb7tU779XyaErJPYL5kQ8ighpIcQMkkIeYsQclGQOnyIELKHEDLm2/9dQsgN4ZYrOvYBn6nVJRLb1vm2fVWwzkkIeYgQcpwQMk0IGSKE/JEQslTi+GpCyJ8IIeO+/Z4lhBT6yvymaN+Q5fqO+YlvcZfATOwu3/bLCSHPEEKafWX0E0L+QAhZIiijEoA/i+xnBGXs9m2X9DkghNQSQp7zlTlNCDlBCPmyxDXvJoS0E0LKCSEv+J7dICHkR4SQBPH+StB15kBJw661o5MaSfE7scpl2Q0XNkMRSN6qEgye6YHX7cV4xzBO//oAyq6sxdTAhC9yUUboQiyIlYQuPd858XVF8jqNOHc4s4hyI8RG1FNulkruXOK6Wen91AohBKVbatBz+AIAYPBMLxaF+ao745yovnFlQGSiltcagNcaAvbLFoU7NRpxXyV+R8XPU+69YP1PxKkTJ+kD0EUp7VJwbCohJFe0bpxSOi13ACFkE4A3AQwD+F8AowA+AeBZQkg+pfRxwb4P+fY5BOBfAKQD+DsAewkhV1JKDwiK/i2AD/n+vwVgFYBXAQwAaBfV4SsAHgfwGoB/A0AB3AHgJULInZTSZ7WUK8GzAP7Hd33vibbd6Tvvb0T73wTg1wB2AsgBcC+AfYSQiyiljb7654IzzcnyXUcrgOsByGnoSsp9HkApOLOw7wKo9x37ru//xwEUA/gVgA4A5QDuBvcsllNKewH0AfiMb5+3AfzYd2yP3A0ihFT77k0cgB8A6AJwM4AfEEIWUUr/QXRIErj3Zw+ArwK4xFePPnDPUhWGmRUF6/j0PIdVTReikZTCdCy98yKc+r/9ALip/dY3zgAAeo+2o/SyahReVBHJKjIYighX+BYeH8oUSMt5Iq0QKL0mNRBCkJCRhJmRKQDA4JkePtGZ1nNl1eSh5iOr0HWgBRNdowu2560sRvGmKu2VDhMlAr64H7P7TJERrPzCZqQWmTP4NN41ghM/fRcAnpbY/C0A31RQzKO+PyH3gRPy5HgMnFC8iVLaAgCEkCcA7APwPULIU5TSIUJINoD/AHAEwGV+hYMQ8n8ATgHYDmCTb9314AT47ZTSB/0nIoScArADAiGeEFICTmD/IaX0K4L1PwAnCP83IeQ5SqlXTblSUEp7CCGvA7iNEPIQpdTtO94B4HYAeyil7b51twL4GIBbKaW/F5zrlwBOA/g2OAUGAL4GoAjADZRSv0LwQ0LIMwDWCuugtFxK6XFCyHvglIPXKKW7RZfzz5TSCVHZvwZwwnfMI5TSCV8dfgXgvEKTs++CU3I2U0rf85X7QwAvAXiIEPITSqlwJCQbwHcppf/jW/4RISQTnIKgWjnQ3azIDDMCccduhDMYmwqWJiknBau+eCkSMpIWbGvf2xSQB4HBMArhrIGWAQI7+EZEGiOCTVReW8f/bn7lNNzTc0H2VkbmolwsvX0Dlt6xAQmZXLtECFB1/TJUXFOHuBRNs+phoaRPYv2M5fkEgPWivycVHvu/AD4g+ntBbmdCSAGAjQB+41cMAMAn+D8KINlXBnz/kwA8KpyJoJQ2gxsJv4QQ4p8u+4jv/3+JTvkkuJkJIR8FEA/gl4SQXP8fOAH1LwBKAPjNbdSUK8fTAPIAXCNYd4XvPELF7A5wo+a7RfWaATeyLjz+RgBnBIqBH7GiprZcWYSKASEklRCSA2AQwBkAisysxBBCnABuALDLrxj4zuUF8H1wueI/LK4KuNkPIXsA5BFC0tTWIayZA72VAKVmAnffVIntO4wZ3QKsO51rFWfs+NQErLjrYnTtb0Xne80B29xTcxgbH8Lc+CwGz/ZgvGMYcamJqPnIKiSkJ0aoxoxoQ6wYGNUWKCHaRniNVJbSSrOQUZWDkeYBUA9F3/EOFG2s1KXslMJ0rPzsJnhm3PDMuhGfFtn2JlRbLdweCwESbEgDpfSwxmPrKaWvq9jfP711WmLbadE+Svft9f0fp5R2CHeilM4SQs6LjvVr7u8HqWc+uNkJNeXK8UcAk+CUsL/51n0CnHD+e8F+deBmA2TDjhFCHD7BuRKcaZOYsxLr1JQrCyGkCMD3wCkmWaLNWmMp5wFIgbL3wU8PpXRKtM6f7CUbgKpMlIaZFalFieC7fce2BUJAtNnmBkOtYmDk9DRxOFC8qQqZNbmof/p9UMqtP/uHo/DOeQL2dU+Po+u9ZlReu8B3KOphJgLWxW/OofbZRLsAp/W+KKXy2qU49uReAEDHO+d1Uw78OBNccCZYpmtThVBJiKW+jaEIqmFfEuQ4sUOF35LkFsgLksc0lCtdQUrHCSF/AnATISQZgAfc7MVfKKXDono1A/hSsOJCnU5iXdjl+sygXgHnk/AoOMVpHIAXnJmYkbnExHXzSO7FoeiZCNHcgs50P4I4k2wAhQgbSeZzII9Z9yU5Lw3JBemY6OZmEsWKgZ/+U13werwo2bxI0iSJwbALsdDuaBVGlSjD4hwpI839yKgS+25GN3LmRHIDQGyQIerxT8Evk9i2VLSPcN9DMvu2+P6fB3AtIaREOMpPCIkHN/J8RHBso+9/l9CURQY15QbjKXA+Bh8GN2OQiYW+Ho0ArgTnhxDKDrEFwGKJ9Usk1qkpV05JWOn7+yyl9JfCDT7fEOHMgRrlrg/ABJS9D4YQVhI0PQkn6ogfpdGSoj1DrlSoWCOvNWdpYcBywboyFF1ciarrlyEpN5VfP9jQgxM/34eDj76J9rfPhe2fYKfnZ6e62gk9wqVGe3tgJuKRb7l76oyfz7DevrfJlLopJbF8p6G+AFJli8M3y73P7B2NTiilPQD2A7idEMJH9fCFoXwQnPmN30zpNQBTAB4Uhqn0HXc7gH2+CDkA8Cfffz4sqI+7wUU4EvJ7cOE2v00IiRPXUeDHoLbcYLwCToD+hO9vBJx/g5BnAKQC+FepAkT1+jOAJYQQsUD5kMShasr1+xWIzYb8o6EBI/OEkM+AM1ni8eUymJEoYwG+ff8MYCshZKOgXAeAfwKnaLwUqpxwCGvuNZJ2vnJYsU5WIdi9CZa0JxR5q0uQUpSO+NSEBc5/mdW5aPrTCYxeGApY332wDd0H25C/ugRlV9aCOBwYvTCElr+dxuz4DNJKMlHzkVVBzQOEI7hWfebMltheGBF5SG+s4nskh1T0nQWmSoIQkXmrSsyuYkSRenZS7W8szFAxAngIXCjKfb4oRWPgBOZ1AO6nlA4BAKV0kBDyr+CcnvcSQp4Gl133XnBC6oP+AimlfyWE/BXAA4SQQnAOqqsB3AYgQCunlLb6QqQ+DuAYIeRZAJ3gwnReAmA5gAq15QaDUuomhDwH4IvgBO2nKaUzot2eBecA/Q1fuNfXfPemAlyY0tMAPunb9z999+z3vihLLQA+6LsGIHD0Xk25/hmah30RgKbAKXMNvr//8SlnXQAuBhceVcr34iCAawgh/wguolMvpfRNmdvzrwCuBfA6IeRxAN2++l4N4H9FkYp0x0h7KFWEM1KjZ0cdDdEjgo2mSnU24V4zIQQpBemSUUGc8S7UfnQNln1yIzIXLTQd6D3Wgc59zRg+34+zvz+C2XGuXRjrGMaRnW+h51BbWHWzClZVXvTGbiPwsfJczEaYdE8qAZ8zbn7mIBLRhILhj4Cn9j0O571XmviRva/RC6V0H4At4Oz6vwrgEXDC/h3CHAe+fR8FJwQTcM6wXwVwFMDlohwHABeucweAq8CFKl0GTuhcEG6UUvpDcNGQWsEpGT8E8AUAbgD/rLXcEDwNLpZ/IiTCx1JK/bkW/g6c2dE3wSlGt4K7VzsF+/aCu4dvAvgyuJCvY+ByEQCcUK+l3EYAXwGXB+En4HIwXOELwfohAHsB3A/gvwGU+e7JBYlrvQecovEtXxn/LndTKKVN4JSyV3x1/G8AheBC4v6j3HF6QShVYwbFZa8DcGjD119CWsUKANZosCRHp2T2k8J/TLDkNXZFSfKlcGYO1OB1ezA1MIkLu89ivHMk9AEEWP7JjQHmSUKY0552jJh1UZroy0qYlQxND6w+a6CUg4+9yY/hLf7oGqSXZ0e2QmFiZDsk9Z0KYvGvDyOijuXxyxsRynMQ1fc2liCErAc3an8npfQ3ofZn6DRzYIWRQuHoVLj1UTqKYxeU2GSbdc0OlxMpBWmou209siQyl2bV5qH25tXzK6gv66kMVhXirI5R36w4YID4nFZoK+yCVBz8aGmX0svmzW5diQvMmy2D0vdV6SytFszIHcRgRAuEkCTRMgFnp+8BZ/7EUIBm5WCm+xE962EZoqXzBeaFC7+AYTX796rrl/EZUv1UXrcMGZU5WP/AVjic3Os50T2Kg4++iXMvnUDf8Y4F5bDO01rIPQ+rvX92IRpMHcUkZqfwv11J1lUO1Aw2Cd97Yf6NcIjGZ89gGMxuQshPCSFf9tn27wZnVvQ4pbQzslWzD5bxOTALoT1+tAuUQkVHrCBYAYfTgUXblmPpnReh4polWPXFS3lbZOIgKN4cmONj+FwfWt84g1O/PsD7JjDCw+j3QU64sYqCYJV6SCGezYsmQZE45x2Sj//0XcO/53CesxalVq/vKpoGqxgMk/gzgE3gfDH+H4BcAP8A4O8jWSm7odnnQGgDGMrO39+pHf/pPuzLLTJcINma/G+mnMcIImVTrNT+3CzfBD/DTX1ofqUenhn3gm3ZSwpQeW0dHC6nxJEMRmhC+SAxjGF2fAbHf/JOwLrqG1ZImhrqQbD2TamfjFofHTk/BD3a0Fixi2c+BwxGZNBl5kCpPfuqL2zS43Qh2ZfLhZeVi8xj5RE4PYTuULbdwe5BqNExs/0xMqvzsPbeLVh33xULtg2e6cGRnW9hdmzatPrYHfHzVfMtMJ8BayE2G7QT8akJqPpgYH6fpr+cxMyoMd9ysJliKd+YYPvp4dOmFTs+awaDYT90c0hW0mBu37HN9BG5aBRmlHYQcs9FLOBLJU2zGg6XE+sf2IqaD68MWE89FB3vSIUTnsfKQq2ZdZN7F9QQTSPqVn0n1OB/fv42wU7CY05dIepuWxew7sTP3gX1qpvN1oNgzvNSCd2UvDvBEnRqVRCYmRGDwTADXX0O9BR0jBoRs3skIqEQoMf9sZOARBwEmdV5WPWFzcionA99GMo0zsoCrdlOuuHcCyvfRy0oHUmOBOK2VC6rrv+/8Ld/fzsoDKnFmQtmBc/96Tio12t6XaR80ezUPjIYDIZeGGJWpEeDqpcQf/dNlWGXYSWUJspR6nRtBUFILfFpiUjMmo92klWTp+g4ufcykgKAmee26rOOpPBqVEz6cPF/u34l4ckXWlQdL6UwWBWHy4nam+bDF480D6BrfysAYHp40jBTo2DoFbBCHMGIKRsMBsMO6OKQbDVCOUhHE1ocmKWOsVPyKs+sGyd+tg/u6Tk4E1xY83eXgThC67lS74URicDUwhK5RQdGPUcrvKNmMD00idNPHYDXzc0axKcm8FGMXAkuJOenIbU0E7Oj0xg+3w9XUhwqrqlDWkmm4XULlihP6fPR8/2IFadZ5pDMYEQGy4Yy1TqaGC0jM2JnQ7n7sX3HNllTIznTI6uPJIZi+Fwf3NNzAICUwnRFigGwMGa5Vd6VWAiry1CGlJNxrLwfiVnJWLRtOeCLcioMb+qecWP0whA69zWj/1QX3FNzmB6cxNk/HMFYx7DhdZOLciRuT4LNDsTCM2QwGNGBJZWDcMJ5+s2I7GBvGwy/WYBQ+A+2rxC/cKHmHtoq/4NjPkZ6fHqiqkODJeeKNFaph1qsomRFEr3uQbC8BnZty9SQWZ2H6htWwBkfGJ44LiU+IDeCH+qhOPficdMUBKXto5ySYIv2lcFgxDyWVA7CHdmOFgXBj9L7IdzPLvbGWkgrzeJ/95/o1JRAKVZMNeTQ2+E/VhUEo+zI5b5bu7dlSsiqzceKz25C9uJ8ZFTlYPXdl2H1ly7D2i9fgRV3XYKVn9+M9Q9uRXYdl13dM+NG4/NHMdIyYFodY7XdYDAYsYElfA70TqwVjaY0sYISoZ1SikOP7QpYV3ZFLfLXlCg2MYp1Est38kp0uN+G2JY6VhSvYEpBtF+7FfB6vGj522kMnu3l11VdtxQ5y4oUHa+Hb5pSxVDv9yFW7OKZzwGDERkiLkkpUQzsmuzHbtEphDazka53sHoQQlDzkVUB6y7sacSxJ/fiwp5G3h+BERy1EXAY84T6PiL9/cQCDqcDVduWI600k1/X/Eq94qSIekUjUrIuWKQ09q4wGAyrobtyICXAB2sA1YQsVbOf8E8JVlI+wqmHmmOF12yVDkppx5q5KBdr7r0cOUsL+XXuaTd6Dl/AuReOh8x9IMYqz94s/LbPes+o+UdjhWE4GQythPoupQYK6n9zEO4ZfQYIlLQjcgpCsMRq4mPZd8JgMKyE7sqBEaZBRiUuE89IRNL0SCo6kVKBVS5KUbDjrXDNcigd0XMlxKHq+mVYeudFSC+b90MY7xpB62sN8Lo9is9pxftgF6wYHtZolDqlMsInVFvmjHdhycfnMy3PTcxi5Hz4/geDZ3pw6LFdOPjom+jc1xxUUZBLnKZksIM5KTMYDKthis+B2vjO4UQrUoPRArKZ+RaE90ysWCnBauH3gsUVl2NqYAKn/m8/v5ycl4olt62HM84Z5CiGXtgpV4ZehFIAYuEeGIlYKZBrz9rePIveY+388srPbUJCRpLm8w40dKP5r6cD1iVmJyOrNh/5q0sQl5IgeVyob0BLuyZFrNjFM58DBiMyaJ45uPP2xxXva9UQmUbNSGhFOOKv1sxFrBjodV2RGv3U8q4k5aQgZ9m8mdFk3zgGTnfpWa2owCgTKrXhcK1gdhTu+a3YrkUzcu9uUm5KwLJfMXDPzGFmdJof9Z8dn0Hf8Q6c+f0RnH7qADwz7oDjhs724uCjby5QDABgenASXftbcOzH76DpzydBvQsH1sTvQywqzAwGw/64tB74zLP3GaLJx5rttxxahXupcKbhYiczkcprlyK1KAOtb5wBAIy2DCJ/dWmEaxWdhDszJk5KZybi5FWxFGXJTgjzvPh/+5eHe3vwv9/4IBKzU9B3onPBse7pORx94u2g5R/90dso2bwIWUvyMXCqG53vNSuq11BjLw5t78WyT1yE5Py0BduFvgShvhMzZ5gZDAZDCZqVAzF6mgJZaTQ/HNQ2+JG8biXT38GEJ7WmY0rrpFZgI4Qgd2UxrxwMn+/HwUffBHESVH9oJTIX5epSN7tjluleKCIhFBmhkCj5fqyOHYRU/zt7zbqv4nuf+qDsfkONvWj688mQ5VEvRfveJrTvbVqwLTErGTU3rUJiZjIAzmyxY28Ths/38/uc+f0RrPr8ZjgTpLtSsWO+3P1liimDwbASujgk6znabwWBRSl6CwBWipgUzFxCfN2hwvSFuk96XzMhBIUbygPWUQ/FuT8dj8kwp+L7r9c3Fk2CjN7Cmd3MjfzXb0WlRmgyyc8iPPgxpKZkS+6fu6IopGKQvTgfjiC+SMs/czE2/PthXjEAOLPFmo+swoq7LuHXeWbcOP/XU5ibnJUtS/guWPH+MhgMhpiwZw6sHPXGDKJ9yljO9EOJA7Oa65YbydZ674o3L8J4xzDGu0bnV1Kg70Qnii6q0FSmHREKfcJ7GWvfq7+dCpbbwc7fabhE0sRLCeL3NSk3BYNnegPWfeyhb+FU90uo/83BgPWll1WjwDdY4Jl2w5UUB4ALUzraMojhpj4Mn+9HekU24lMSkL+uDHHJ8bJ1ScxKRkphOia6ubZlpHkAx57ci9V3Xxb0OLl7LDZBEq5jMBiMSBDxJGjB0GNE2ciReLuNDmpFyTWGcy+McAx3OB2ou30Dlty6FgXry/j1HXubcPDRN3H66QMYOturOh+CnbGy8GcGYsVAqyIbrYTbnpk561nxgaULTAR//+g3FigGtbesRuFFFSCEgBDCKwYAN8OYUZWDimvqsPpLl6HqumUouaw6qIDvp/Lahec/+cv3MDs+E/Q4OZNMpbOxDAaDYQZhzxwYOQIZbtmRtqtWO2sQiw7Efox6VmmlWUjOT0PPoQsB6yd7x9H0l5PIW1WCiquX6H5eq2L3maxwUJrNlqGOSJhCOuOcqP7wSrS+fgb9Jxc6IwNAyeZFyKjICes8ct+L38RoZnQKJ362DwBnYtTyt9NY/LG1YZ0TkE6Oxt5VBoNhFqbkOVCK2YJLNApKRnYmVsuFoIa5qVkc+9FeyW3rH9gK4iAm18h8ovF9Z0QWpYqBkYM0U4MTOPficcwMT/HrCjeUo/TymrDKVTrI0vp6Q0C0pLVfuUJRbhUl7alcKNRYicXP8hwwGJHB0mZFZmBErHUrxG83AzuZVcUlxWPd/Vdi5ec2Yf2DWwO2DTX2yhwVXdjlWTHsQzChX7jNyNmFpOwUrLjrEuStLAYIkLU4X1YxUFMPpe1bckFgKNPzfz6hyFxRnBNE6nzsm2UwGJHAUsqBuCE0ero62AiNVqJZKVCb5MpqOJwOJGQkgRCC1OL5UShXYlyQoxgMhlr8ioFZCgIhBBXX1GHDg1eh+oYVsuczYgYjd3lxQHS0kZZBnFcQRlVIsPbUzm0ug8GwJ5ZSDsSEasitNkJvhlOZ0g42VjsSJeFTKaWYGeFMEJzxTqSVZQUtc7J3DJ3vNWN6aFLXutoZK4XdZVgDKYXAvyzO4O7HyHfILH8z4iAovbwGZVfW8uuGzvVJZlBWg7Ats1I/x2Awoh9LKwdKCafh1HNUxgyBXNzhSdmkxrJiEGzZDyEEnlkPAMAz68GFPY3wzHkk9+073oHTT7+Pzn3NaHrphL4VtjGxFgqVIY1QuBcGFQgm9AfkK4iS92h6aBIXdjfOryCA1+MNr8woSKzHYDDsiW4ZkiOB1WNzA+qdQNVE7ZGLYc8ITU5dAe9E2Hu0Hf2nOlFx1RLkLCsCwHX2bW+exWjbIH/M1MAE3NNzzAzJR7QIdgztaHkHhAqE1nfIahHZxtqHApbzV5UockoOhTBqkVWulcFgRD+2Vg782L3RFHaSTODSjlhZDPZelF+9BBM9Y5jsHQMAeOe8aH6lHhPdY0gtzsD5v56SPO7oE2+j4qolyF1ZHBMRjhgMpYjbMTmbfz1nDawiNKcUBkbSKd68KKzyxIqTFa6RwWDEDrZXDlijyWGVTtIuEEJQfcMKdLzbFJBptfdYO3qPtQc9tvXNM5gamED5VYuNrqaliXQeEYa1kPI1kNtPia9BsPdLKnjF9h3bItYODjZ0ByyPtAwgp65Qc3ni6xbeL/bNMRgMo7G9cmA1tJg6BWvsjZg+j9aORm2Oh4TMJCzatgJVH6Roe+NMQKxyAEivyEb1jSvhcDnQe6QdF/bM2xT3HmtH3qpiJOWm6ncBNiOa3h2GuSh5d9S8X37FADBmoMQ9PYfZ0WkQpwMNvz0Ez4wbqcUZKNpYAUe8C90H2/h9HXFOpJVkLigj3BkT9r0xGAyzsJxDcjRGZgjXYVrvMqPZhEmLQzYhBOVXL+FnAhxxTpRdWYvFt6yBM84JQggK1pVh5ec2BRw3UN8tVVzMwqIXMayCnv3I9PAkjj7xNk4//T5O/d9+eGbcAIDxzhE0vnAcZ54LzJO14q5LEJ+WuKAcYdQmtURjW81gMKyL5WYOmGmM9HS6ngpTtApx4bw7hBDkry5F/upS2X0SMpKQWZOH4XN9AMBHPGLErokRM+ezDlKztno8H2Hm5VDkLi9CfGpCWOdjMBiMSGOpmYNomzHQit8m1/+ntHNTOloWzghWrJMuyInQd7wDg2d6FGVDjWbklM1oVUKFMMXAXELl15B6HuHOIqSXZyFn2UL/gbxVJUjITIIjbr4bLd5Upfk8DAaDYRUsoxxE8wiclusSC+9qyhB3hCxhlX7kLCuEK3F+wu38y6dw6LFdOPjom5joGY1gzSKHlLIZqzMJkSSWvvFQCoKckqAF4nCg6rplKBFFIBpq7EXltUux5p4tWHHXJVj/wFZJcyIGg8GwG5ZRDoxUDMIZNQqnw9WakEwuSVA4CgJDH5zxLiz5+HrJbef/ctLk2liXWFYMIiWkx8I9F2db1qIkaKXo4krU3rSaX3ZPzeHMc4cxfK4PiVnJikIbR6NPHYPBiD6IWpMIQsg6AIdWfmEzUosyQu4fSSKVKCeSsyBWSw4UrUx0j6L+NwcD1qWVZmLJresiVCOGEaiNgMUwFqkszGYrRZ5ZN0787F24p938uqKNFSi6pAoOpznjbeNdIzjx03cBYD2l9HCo/e1KJOSNWLm3DEYwLOeQrCex2JnH4jVHAldiHIiTgHrmlevam1cHOYJhN6J1hDdSQrUeCOss9M0Kta+eOONdWPmFS3HkB3v4dV0HWuGZ8cR87hMGgxEdRLVyoAY9RwiZgB79dL3fwisGrqQ4LP/URjhcTt3PIxZQ2bsVOaLFLyrSI+96ojShmt4445xY/8BWdB1oQee+ZgDAaOuAbuXLKabR8P4xGAzrYxmfAyWE6gTCzSegt42qFvw2qcw21dok580nPyu6uBJxKVz4Qq/bg9HWQcxNzepyHvH7yN4J84h0W2A0LGpZeBAHQVppJr/siNNvcMCI/DYMBoOhFEOUA6NGckJlEo6GzlzNNQin1GMpUokVSCvP5n9f2N2Iqf5xjHeN4PAP9uDs80dx+v8OYLRtENQbfphTsdLKBATz0KtNsYvSL2xH7BLlTKzkKFV6wnkWnjkPjv7obZz53RF+XUZVjqay1GLl94fBYEQHupsVRaIzibbGUo1AIsx2HA1mAsGwkgKYlJ0SkBDt1K8PBGyfm5zF2T8cRUJGImo+shpJOSlhn9N/7dH2vlsdI945K73LQsRCthWRC5MrV18jkkq2vtYA99RcwDqW44DBYEQLhswcmN2pWMEcKBLI2dvaZcRPDWqSwZlF1XVLEZ8ePK75zMg02nad1fW8VrsPjNCInxl7hupQ2qaJ91Eys6pFUXAmLBxXa3rpJKjXq7osOdg7Yi8IIVTh3+5I15XBCIXuMwdWGG2KpQRMUtE7zHbSMyN8qhWfpzPehdqbVqP5r6fgdXuRWpIJZ7wTBevKMNIyiNbXGwAAE10jEa4pwwowYU87Sr9/8X5i52s51M7klG6pgcPlQM/hC/y64fP9OLR9N6o/tAJZtfmKy2JEDZ8SLd8C4GYA/wigR7C+BwyGxWHRimxAqI5LqAwJFYRwz+lHaacprqfUiFw4ApKRphha71lSTgqWfXLjgvVpZZn8b6/bi4meMaQUpIVTRYZKrGq6wwgPLd+pVMZ5cfuk5n1xxjlRdkUtyq6oxeDZHpz/yyl+W9Of55MhphSmo/am1XAlxamuM8NeUEqfEi4TQmrAKQcvUkrPyR1HCCEAkimlEwZXkcFQjOHRiiJh3mLFUeZwCeXMKLzPely/0uhNUvUxyunSTjMT4rCm9c+8D8+cR9dzmI3wuVrdsRaQFgAZ+hANpotS7YmW9yV7cYHkAAHAJUs8/cz7GO8cUR2cgIUzjT4IIZU+06L/Rwj5NCHkBIAZAF/0bXcSQh4ihBwnhEwTQoYIIX8khCyVKCuZEPItQsgZQsgMIaSXEPJ/hJBS0X65hJAfEEJafPv1EUL2EkJuNeeqGXbE0JmDWDLvMZJQQo7QjCjSTslMGOOIT01AwbqyALODia4RpAuiHNkVuz1jNoOgP6xdDyQ5LxXrH9yK/uOd6NzfjLmJWaSmZGN8YhCzo9No+O0huBJcKN1Sg9wVxSHLs9s3FqXUcYP6AXRRSrt0KPvDAAoB7ATQBcDvmPYsgJsA/Nq3LQfAvQD2EUIuopQ2AgAhJB7AawDWAvgZgBMAygF8GcCVhJB1lNJ+X5m/B7DOV14jgEwAawBsBvA7Ha6FEYUYqhywDkQ/Qgk3QrMiM1ETQSfWBLTizYsClAM9IhZFEjuOxMfaO2cXrDJwJH6nw3lfCCHIW12C3JVFmOwdB3ESnP3DGBIdaRifGIR7xo2W1xqQvbQQDqetUgxFnITCh5FYvsKUc83RkwBuBICnJTZ/C8A3dThNHYBlQnMj30j+xwDcSin9vWD9LwGcBvBtAHf4Vj8AYCOALZTSfYJ9fw/gIIB/APAwISQDwBUAvkYp/U8d6s2IEQxRDuw+UqdntuRYIZTgGJP3kQaaEeiZJMkq2P1bj1b09vcxCisoCXorvcThQEphOgBg+acvxnBTP8ZfH+S3n3vxOPJWFqP3aDtmhqcwOz6DnKWFKLqkEomZyYbUiaGJTwBoEK3TY9YAAF6W8EO4w1f+bkJIrmD9DID3AFwj2vcQgEbRvu3gZgeuAfAwgCkAswC2EkJ+SSnt1an+jChHV+VA2JiFimBjhU5BDjlbVCt2rlaCdWiBOOMDP6/Bhh5kLcmHK8Ec50QjokjpOdLKMBcrtWGRmumUQqrf8hPu/YpLjkfeSs6MyB+9bLR1EKOtgwH7DdR3Y6x9GCvuupj3V2LtacRpoJQeNqjsJol1dQCKAPTJHUQIcVBKvb59k4Ls2wYAlNJZQsg/APhfAF2EkMMAXgfwLKX0WBj1Z0Q5pkUrigbnNSYUaSOW71Vyfhome8cAAK1vnEHrG2eQvaQAldctVWRaoFfkKb0VBIa1YYKltcheko+u/S2YHZuW3Wd2bBpNfz6J2ptW8+tY4sOoZUpinQNAM4AvBTmOCvbdB+DfZfbjXzRK6Q8IIS+As5W6AsDdAL5GCHmYUvp9lfVmxAi6KgdaOyS9I+2YgZVG4ayEHYQSM/Iy+Ekvz+KVAz+DZ3oQn5aA0strQh5vl+/BCpj5XO2AHb7FSGLGvfH3E854F5Z98iKcf/kUJrpGQJwOpJVmouTSajjjnTj243cAABNdo5LlsHc6JmgEcCWAPZTSOQX7ZlNKX1dSMKW0HcATAJ4ghCSBc2b+DiHkMUrpTBh1ZkQpus8cKHGcFY6GSmW0tKpAxBpoZQiFEivfMy11VHtMyWXVcCa4MHy+P6Dj7z7Ypkg5CAcr33sj8L93THFnKCGY8qTX++M/x3TbvXAlxmHxLWsW7CMMceqengOlFBJRchjRzzMAPgTgXyHh9EwIyRf4DDwD4LuEkLsopb8U7UcA5FJK+wghyQBAKZ30b6eUThFCGgBcCiANnE8DgxGAaWZF4ky+ctsAaysIDHujZrRQrAiIbZOVCBCEEBRtrETRxkpQrxeHtu/mt53/y0kUbapCUrb+UYxi/RuyqoJg1XrFKuKkjUY8m1BlzowGWpgcemwXknJSEJ+WgJLLapCcl6p7nRiW5FkAHwHwDULIJnCj+2MAKgBcDy5i0Sd9+/4vgA8C+AUh5AYAewHMAajylfEcgK8DWAzOwfkPAE4BGAWwHsBnAbwiCHfKYAQQ8XhqUgJMLAs10YKSBGpWIFgdhUqB2N9Ey7URhwPVH5oPxzd4thenfrUfXo9XdVmhCPYNhZPAzAhTDD0TqoXK0B1JhAnkogl/QrRo8CsLhlHXl5CRhIT0xIB1UwMTGGkZxOmnDqD/ZKch52VYC0opBReF6O/A5SL4Jjgl4FYAx8DlKfDvOwPgAwD+GZwC8D3f3w0AXgWnaADABQC/Ahf29BsAtoMzXfo2gI8aekEMWxNx5YBhD6Kh8wcCBQC9lBc1wm1WbT4yKnMC1o13DOtSD6VYTWnT2+lS7fWFyj6uF1a773oQTptgxD03so0yatCKEIIVn9uErJo8ye0trzXg4KNvYrxrxJDzM4yBUvpNSikRhiyllLb41n1d5hhKKX2SUnoxpTSVUppCKa2llH6WUvquaN8ZSun3KaWrKaVJlNJ0SukySulXKKUnffsMUEofoJSupJRm+MpbSin9FqV0wtg7wLAzEVEO5DoEuYbdbkJptI0MhovVnl84sxrBjhMKmcEEn4yqQOUgKdd8swEjrl8PIv3tmKEgaL2HWoRppefSUrbfdE34pxTxuYINPqgZmNAiwIcq34z2ixCC6htXYs29l2Ptl7dg8UfXLNin4dlD6DvRYXhdGAwGI2IzB1IdUbSYE0VzlBAt12XX56r0WtUKe93vt/K/c5YWIi45XtXx0YjeSocaIdwIEzgjBUo5QV7rOc1sq+TqHky5UKt4qCVY+Wrv6WTfGNrfPoeRlgFQURJEJbgS4uCMdyG9PBtrv7wFeatKAra3vn4G08OTMkczGAyGPhC1DRghZB2AQyu/sBmpRRmKjvE3sP4GWO9EMwxjET+/WEBLhtlgx8yOz+DC7rMYaR6A1835GCRkJGLFZzfZKjJJNDvU2iGPid5tp9nXbMe2X6lz/8zoFE7+8j1QD9en1nx4JTKrpU2F1OB1e3D48T38cvnWxUguSMOJn74LAOsNTNQVcfzyxoavv4S0ihUh99eDsdaTOPj/bgSi/N4yGMEwJVqRuGGN5pH1aCMWFQMplAgxwfZpf+schhoDk1lmVOXaSjEA7CHM6YUVw/GK20696qj0+HDbAzX1NKrtcU/NYaR1AIQQZFbn8hmJ5eoQ6vwzI1NofePMgqzH/Se7dFEOHC4nlnx8Hc48x8mp1Kt/AAMGg8EQYloo02AIOzjxyKQdE6RFE7F8z9UKXMEEicEzPYErCJC3slhr1SKCFYVlvRAPVlh58CKc0LrByguFXsK6/zsJJXjr3fZQStH25ln0HZ+3289fU4ryrYs112GwoQfn/3pKctvw+X7MjEwhISNJW4V9eD1eNP/1NL8cl5oQVnkMBoMRioj5HIg7JLkQhFqc3RgMrWhNohXMNrn1jTMBy9l1Bai5cWVEHJEZ6rCyIqSHr4SW47X4Nojb9EgEKRis7w5QDAAsyF6uFM+MGx3vNC1QDAo3lAcsd77XjLnJWcyOTWs6D8D5KAmPz6jK1VwWg8FgKCEiMwf+ESNxx6TXSBiDoYVwRovllFfPnCdAICnZXIWii6sWnFPqXbfaN2ClupiBXa7X6HqKBXmpUf9gswBSkYkiQf+prgXrxjtHMNE9ipTC9KDHeuY8GG7qw2TPGPpOdIB6aEBm47jkeKy46xI4E1zIWlyA+mfeBwAMnO7GwOluAEByfioqr12K5Lw02fMMnetD3/EOJGQkoXRLDRwuR0D7UXntUjjj5M2gGAwGQw9MVw78HYNUhyPGasIRIzKYke3XKMdM75wnYLlgQ0XAst+UTk4xsco3EM0mRdGEEXb6wpF+f7mhstyHKs9svG4PJnpG+eWUwnRMdHPL9c8eRMHaMpRuqZH0Aep4pwldB1oXrAcAZ7wLxZuqkL+2lD925Hyf5L6TveNo+O1hrPvKFZLbR1oG0PTSCX6573gH0suzMDcxy50rwYXc5UUKrpbBYDDCwxI+B8xkiBEMM98PNXHhlew/PTCfZya7rgAO50JLPjs46EezUiAVQcfqz0OO7Tu2aTaNC1WuVvz1UKu46DEoQCnFRPcomv92Gt45zpE3e0k+Kq9dijPPHcZEzxhAgZ7DFzDZN44lH1vLH+t1e3D2+WOSSQpdSXHIX1OK/LWlSK39Cb9+uu1e5K8rw0TPGEaaBxYc553zYGpwAknZKQHrZ8dn0PjHYwv2H20b4n97ZtyglNouiAGDwbAfpisH/sZequG3c6fMsDfhJKYKdmzHvmb+d0ZFtmznLnz3o1kQV4IZM0VA8NCz0fAMrDLrBGib0Qj3HXBPz+HoE28HrItLjkf5VUvgcDlRd/t6dLxzHt0H2wAAY+2cID43MYOOd85joKGbD0sKcMkKy66oQVxyPBKzU5BU+YTkeV0Jcai9aXXAutbXG9B3ohMAMN4xEqAcuGfmcO7FQMXAmeCCZ8YduC7eyRQDBoNhChGbOZBr+IURi5QqCnaMnc2IHoIJYTND8wmLml+px4W3ziF7cT7iUhOQt7IErqQ4fjt7bzkirRjYHWHbaQUFwSxlT0zraw0L1lXfuAKuRO6bIw4HSi+v4ZUDUGCybxyNfzzKm/IAXD6SRTesQErBvF+C2vcnqzafVw6EoUgppTj3x+OY7B3n15VeXo2C9eWYHpgAcRDMjs9gpGUA2bX5Cq+cwWAwwsMSZkViwhm9i3RHyIgNpOLNS717eatL0CmYPXBPzaH3GOdgODc+i/Kr5MMoRiuREhaFxNIsZaQVhEg969mJGf536eXVyFtdKunMSwjgzwXa+PxRzE36bPzjXciuK0DxpqqALOZa7ufM6BT/e7RtCLMj0xjvHIZ7ag7Tw/Pb6m5bj3/93jvYvmMbH80sMTsF6eXZqs7HYDAY4RCxUKZ64g/pZ0YHGKlIGwz9COYArAapaFvicosvqUL1jSuRXrGwc5/oHoHXE35CI7sJuZFWDPwI241oG1QIFgkuGpFql/3RhOJS4lG4oUI2yk9S3nxI4bnJWaSmZCM+LQGr774UFVcvCVsx4Coz/3P4XB+6D7VhvGs0QDGovHYpUoszLPN9MBiM2MVw5UAYnSgaBGvWcDOEKBEUsmrysPiWNVh3/5XIXTGf+GyiZwyHd+xG25tnNCkJeik5DIaVkYtwJ0Qqd8JkD5fDYG5iFgcffRM9h9okj5Uala/+0Eo89Pev8Mvh+gM5E+Un6VMK0rDkY2tZJCIGg2EZDDcrEgrTZoWjjLZRQIa1UWpi5HA6UPmBOnjn3Bg808uv7z3WAeqlKL28Bs4ES1r6MRgRQy58qhR+kzX39NyCbRfeOoeMRblIzEoOWJ+/pnTe7wBASmYW/uW7e/nIT0D4fUpWbT6qPkgx1j4MAiC1OAPpFdlwJsZJRjBjMBiMSKJbq6RkVsDImQOmGJiPf+SajV4HEuodrLi6DiWXVcMlGE3sO9GJIzvfwuHHd2O8izM36ninCcd/8g6632/FRPcoKJ23TWD3nBGKaDctkupP/AqEM8GF1KKFic36fU7BQuLTElFx9RKkl2chpTAdn/v+Tl0VAwAghCCnrhCV19Sh4po65CwrQlxKAlMMGAyGJdFtmFLJqI7RMwdMMYgMRoUBNQph4jG9zi+MshUKZ4ILRRdVoOiiCpz9/RGMXpiPZe51e9Hw7KGA/dv3NgEAcpcXoeIDdZLhDCPtdGoFhMIiM/+LHGoTCqpxUJd6xlLHE0JQ+9G1oAkPwRGfiMOPXA8A6D7UhoL1ZYhLSQjYP29VCfJWlQAAXjv0fcV1ZzAYjGgkamwYWEPOUIP/fdFbQVBDYvlO1H1xAKef+CDGu0ZD7t9/qguFF1UsMIvQcu5o5MkXWnD3TZVMMQhCqNFwJZnrtZwv2DnDRa6OKdVPAgCo14OE7BrMDJ4DADT/rR6LP7rGkLowGAxGNGDanCbrsKOPcKO8WEGgNaIOSs2tptvuRXxaDtb80wFc9mgD1n55C5LzUwP2Kb28OmB5vHNEshy9sLvpSbS3M2pN+dS+G9t3bFtwD8VBJbSah8rVW21itCdfaJE8Rq4c4nBiyUcL+OXZ8WnF5zOTaAjYwWAwogNbzhzINaLRJBhY1UyE+XYoR8k9Es5gXJP5LTju/DYmukbhdXuQVpaFgdPdYZ+DER2IBWul36LwHfMvB2tfhO2rFlOtUDkktLYhoRQiuSzM0233YrJnfmYuLikeDAaDwZDHlsqBVNg6QP8p8Ugh1wlGUmGQEkxC1cWqCo7RBBOO5Oyrp9vuxS5wttKpxRn8emE2VQDIqs3j9zcCOz8vO9ddCcLrC2eGR5g9WVyuXogVEi2E8kUQKwNy3xUQOONWsKFcc52MxK79FYPBiD4MNSsSToHrba7gn/6W+vNjp9wK4vsj1WELO1yzowSJk0UpUQyE/62O3u+J3P1RKwDkLC3kfxMHgUMmkZMemPWs7PJNWhk9k7eJn7ueQmo49ZMaBAp1zXLv1twEl9wMALrfbw2I/BUK9r4yGIxYIyzlQEpItUJ4S7GSYIU6SSHnrKfUTEBchlnobQ5gNaxS38TynUhe9OT8CgLJSEV6YdbIuxVGSO00cBAJ9MxPI/deKfnO/ArCA/e/zJej5dl9/Ivf53+Pd45gTBAhTEkdGAwGI5bQzazIKgKVEKs36uE681rxntsVvxCyfcc2yXsbKZMVz8wk/zslP82w8xhpAmZFPxWrtw3RRLjtlFBBULKvH6EyAQC//reH+NkD99TCJGkMBoPB4GAZWGyMXmYFRmOHOgKBZgzie2u2IuY/X/euT/DrMqvzTK2DXljx+cfirEGw5yAXRUgPJUrteUOhtk7+68jakI3xiUHur2Nh1C8Gg8FgcJjqkGz0aKyaZDoMY7GiQKgFsZ+HcJ1R+EfxZ0am0PxKPQCAECC9Msewcxp9TXZ5H+Qi3jDk0TrrpOYYudClwjCrwZ7ZWMcwLuw5xy8P1Heh/KrFKmrLYDAYsUNEZw709gNgHTojXJS8Q0bOIiSW78Tk+bvR8mo9Tvx83/z6nFQk56UGOdLaWM0EThy4QG5brBCu8qYkp4cav6pQZYsjFAmzJX/5nhcxUN+N7oOtaH/7HA4++ibOPHc44PjcFcUhzxuLs0sMBoMBhDFzkFD4MIDwQtYxu3kGI5Dptntx7sXjGG0LdJis+fDKCNVIP6wa2lZP51urY4Q/jZrjQzkni7erDbu6fcc2nP3DUYy2Dcruk5SbitItNSHrquZdsKJfDYPBYGhFF7MicXIdOYKF59Qbq48GWlVQMhu5iE1Ww6y6jbQOLFAMqm9YgYSMJFPObxSReLbsG5NGyaBMpEw0xUK2lsEnKcUgPi0R6eVZKN68CPGpCYrKUXMP2HvGYDCiibCVA7nG3GpYyR9BOBpm1ftlFkJBJdrvR6jra3vzLHqPtfPLrqQ4LPvkRsXCDGMeqTwb0fxuaSHY/TC7rQzl/K/12eWvLkHuimIk5aWqDgNslf6CwWAwzCZsnwOjI+ZojUcuZ5NqBZiQEojVFUs9kRJ8vG4PWl6tD1AMAGDp7RuYYqCCUPlMmAmjPQinHXBPC0KUEqD8qiVIzk8zND8Ig8FgRBumRivSQjhCvRUVAz+xIAirQW7kMBrvk3AGYbJvDA3PHoLX7eW3l29djNyVxXA4WaRhNSgxl4n22Sml+O+VmffCqO/6vq/8Gd/6ykXoO9GBsfZhfr0Sp2MGg8FgLCQs5YB1sgxGeLS+fiZAMSi7ogb5a0ojWCNp7CJURzp7uJ2I5PPU03ToH2+uRd/xjgXrizZWaCqPwWAwYh3NysFM9yOIK8rQsy4MBoDY8UPwzHkw0T3KLy/7xEVINjALcjgIHUPt8jzsUk+9/aGs+oxCORdrVRgmuhYmNEstzkBCur2d+BkMBiNSMLsFhiWJ5hFg/7XNTczw69Irsi2rGAiRSgrHCA+9zR6VmldF6vkpVVyU7hefnsj/rrp+GepuX4/aW9ZY+h21ar0YDAYDsIHPASN2CSeHhpWQioE+2TuG+t8c5JfHLgwtOM7KWHFk2q4YFUlNPIOgNL+BmTH7wzkHpRQAMDs6Pb/O40WqxWe0w50VfeD+l/EfD1+qd7UYDAaDhykHDMtjZ0HUM+NG0zPXweP2oGBtGRIykjDeNYKGZw8F7Fe8qSpCNWREGiMUA60JJq2siLtn5tD5bjM8M27MDE9hXMKcKDE7hf8dqXZDGF1P72fLsjYzGAwzYGZFDFsSKmylVejYdx5d77ei90g7Tvx8HwYautH+1rmAfQo3lKPwIuY8aUes8v5JCY1i4ViJsGymOZ9a4b37QCt6j7ZjoL5bUjHIrM5FanHkZw2279jGKwVyz0VrCHBh2QwGg2EUlp45sFLiMqtg5pQ/IzzGu0bQeyQwd0HzX08HLK+7/0oWstSmKDEPMep79beNakeSxc7+oepmVPhRLWVND08BAFJTsjE+wWVBdiXFwT01h6KLKlB86SLd6qcHrO9iMBh2xdLKgXj0hTW281g1IolZWP3ap/rHF5gOiSnaWMEUgyghlH2/Ud9rOG2iX1EQ1k3KL8EqsyNxyfEAgPGJQSz/9MVIykkJcQSDwWAwtGAp5UBsqykeFWMzCfqH+dQz3jhjnt6jgTMGlR+ogys5Hhd2ncXM2DQ30rnZWiOd4RCLyqpYGdBDiJYazR+o78ZkzxgoKLKXFCClID2scwjLFoeolXqGej3XcGdRiHM+y7F7ahYAUw4YDAbDCCylHAgVAis6XllFANJrNC9YvHErXKddoV6KvhOd/HLRxZXIWVYE4iDIqMoB9dKomzFg70v4CL/HqcEJtL1+BmMdwwH79B5pR/WKjfjvmWsQlxSv27n1HGSQKyucc3jmPAEmenYI+8tgMBh2xVLKAbDQlEgOoc2tWbMJVhGAjJjml0pyZZS9cbTTeyxw1iCjKgfEwY16EkICRkD92Fkh07PuseRTMzc5i7mJWSTnpQKYv2b31BxO/Wq/7HFNJw+gIn8J8laXgFKKwfpuDJzuRmJ2MlKKMpBckIYkQdQeM96tUI7M4Z5/sKE7YNkZb7mui8FgMKKGiLewUmHf5BQDoRLg/x1pMyOzhbpwFAOxsG+kCUEorGoipsfz7NzXHLCcUhieGUgsYmdlSYz/OrweLyZ7RjE1MIHW18/w24s2VqDk0mr+mkea+0OWSVzczFPzy6cweLYXADB6YQg41gEAyF9divKrFgecPxzkvlep9eLBBT3OPzc+y/9OyGCZjxkMBsNITFUOQvkUSG2zogApRG3H5xcAtHac/mO1nFdYhpHnUloPqecfyeethy+H1+OFZ8bNL5dvXQzq8QIOBz97IIWdBWG9o9hYxQFWDXL1nm67lxvdP9OD9j3nMDc5u2CfrgOtmB5bgsTs76HrnTcXbF//4FZMD00GzCY4450YaR3gFQMxvcfakbuyCMl5+pjfyH2Xwb5Xvd4LSik635tXuMMJV/rA/S/jyRdabPm9CdtLlgTNehBCbgTwJwAPUEp3iLZ9A8A3AfyOUvpx0barAbwO4GFK6fcUnutzANIppY/pUHUGYwERmTlQMuqvh5Bo5dFpQHvnqfY4f4eo5VgjOtHptnux3dd0SjmdA5FREvRw9qZeCofLAa/bCwBo23UWbbvOIi4lHktuXYfErGRd6xyNRIuCMN12L7weL5r+dBwjLYNBjx0+ux/UszB2f+mWGnS8cx7d77fOrySAI96JxueP8asyqnKQv7oUjS/Mr4tLSQhZZ8+sG8Pn+uCemsPc5Cymh6cQn5qAgnVluo7Qq2mLqZdidmwaE92j6Dl8ARPdowHb08qyNNdj+45ttny3AOsPlDHwNgAvgC0Adoi2bQHgBnC5xHFbfP/fUnGuzwEoBfCYuioyGMowTTmIlNBnNQVBSgA10oQisXynZsXACMR1ED+bSD+vUM8j1HvsjHNi2Sc34uQv3wtYPzcxi6GzPSi6ODATcjSZz+hJqHtiF9+E9j2NAYpBUk4KEjKSkJSbgpTCdHS/34rxrtEAxSApNxW5y4uQu7IYzjgnDj46P5vgTHCh+JKqAMUgvTwbtTetBvXSgHMfe3IvAGD1ly4NUBSmhycx1TuOqYFxdL7XIlnv3qPtyF9TivzVJQFZh2dGptD4x2OYHZ+Gd86LxMwkzE7MIiE9EQXry5G7vEjbjQI329H25tmg+2QuykXOskLN5wCs/84w7AmldJgQcgIiBYAQEgfgEgBPA/gMIWQxpVT4om8BMAngfdMqKwMhhABIppRORLoujMhi+syBmcKflZQCIVKJiBgcVnhmwYQHJSOPiVnJWHPP5Wh/uwn9J+ejFjnipD83uwi6VmLi3JfQc6gNEz1jSCvNRO6KYrgS4yJdrQWMXhjif5dvXYz8NaX8cmL5ThRuBfr3fwJd+1uQVZuPrMX5cMY5A8pIL8viy/HMuHFhTyO/zeFyoOr6pQAA4iBwxrvgmXUHHH/sx+/wyfba3jy7wGFejt6j7eg92o645Hgk5aXCleBaYMbkT0w2NTCBllfr0fJqPZIL0lB8cSUyq/MAcGZBob7rvhOdIRWDsi01KFhfrqjuahAq/FI+cAyGCt4CcB8hpI5S2uBbtwFAMrhR/o+DUwbOAgAhJB7AxQD2ASgmhPwjgKsAVPiOPQLgu5TSv/pPQAhp8W8nhPAjApRSItjnQwC+CmAdACeAowD+g1L6F8E+lQCaAfyHrz5fBbAEwD+BzUjEPKYpB2oaWikFIphAZkehSmyCYMQIMlM8jEHJc3IlxqHyA3VIKUxH6+tcHzHeOYyCdWWSZYmTUYVCKllVrOCensPpp9/H7Og0AGCkeQDdB1qRs7wIDpcDo21DmOgeRVxKPJzxLmTXFaDo4kq4p+b4RFpK6D/Vha79LXDEObFo23Ik5aSAUgpucE0ZWTV56DrAmQR1HWhB7ooiOFyc8O9vA1KLMlB702rZMkour8HoMwsHFZ3x3CyVcFag4pol6H6/FZN94wH7Dp3tBXEQWcWgfOtipJZkwjPrRsvfTmPGd28BX1Sl1uBmUUIme8Zw7k8nFqzPXpKP8quXwJUQqMRRr5f/Rvh9F+fDPe1GwboypBSl66L4yQ1MKY2Qx4g56iS+9S5KaVeQY/YAuA+cAuB/qbcAGABwDMAB3/JPfdsuApDkO+4iAB8A8CKA8wDSAXwKwF8IIR+glL7hO+ZBAN8HkA3gIXEFCCFfAfA4gNcA/BsACuAOAC8RQu6klD4rOuTDAAoB7ATQBZ/iwohtCKU09F7CAwhZB+DQyi9sRmqRdscwNSgRcu0qHGkV8kKNNsey8GglZsdncPwn7wAAUlOyUfPp5boIOnZOXhdu3c/+/kjAiLwaMipzkFGVjamBSQw19iIxMwllV9QiuTAdhBBM9o1jvGMYPUcuYMY3Ki4kISMJ1R9aIRtnX2wq6HV7cPjxPfx2sYmPUs7/9RQGG3r45ZxlhSi5tBrxqfJlnf/LSX6knxBA3NRfeevn0DaxH9lLChYc65lx4/xfT2GkeUCy7LTSTNR8ZBUAwOv2YvBMD/qOdWB6aDLktWRW56L4kiok5aWCEILW1xsC8oL4ZzkY8ox3jeDET98FgPWU0sORro9R+OWNQ4cOYd26daac8/Dhw1i/fr3c5m9RSr8pt5EQkgegF8DTlNJP+tb9BcAcpfQmQsh3AHyKUlrp2/YwgO8C2ArgAKV0UlReArhR/zZK6XWC9XsBlPrLEawvAadY/IRS+hXBeieAdwGUACinlHoFMwdzAJZRSs8FuS2MGEPzzEFC4cNILF9hikAi5aBoxsi7VRFfN8O6UJ9jsp8btnwDrxz4btjlhoorbzXk6qjlmxUqBks+vg79JzoxUN8d5Ih5RloGMNIyL/COT82h/tlDSMxMQukVtWj68wlQj/yAyczIFE4/zY3ix6clIjk/FcWbqvioQNNt98I9NYfxxi8CAM48d4Q/NrU4Q5NiAAAV19SBOAhmR6dRcukipBZnhjymdEsNhpsH4J3zBCgGCRmJWHHXJow7WvCt+w9JjqY7E1yovWk1pgcnMNI6iPiUBMyMToF6vEivzEFyfho/g+KMBwrWliF/TSlmx2YwNzGD9j2NGO8aXVAuAAw39WO4qR/Zi/ORv64sQDGo/EBdTCoGakwLE8t3Yo6eBHCjwbWKeT6B+dF/P8FmDUAp7SOE1MPnZEwIcQC4FMB3fLu8DeDrhJBySmmbb79ZAO9RSvnpOkJIIrgU4ATAbgC3KazzRwHEA/glISRXtO0vAL4FYCmAU4L1LzPFgCEmbLMiJSEy9fYzCDZabjcFQa2SYwdBkDFP96E2/vf4xCB+9/t/RHp5tq7nMPud1/Kd6RWBaOhcH/87pTAdaSWZSCvJRPnVSzB8rg+zY9NIzkuDI84BEALvnActr9ZjbmJhCNGA+g1P4dyLxyW3ESeRVBhmx6YxOzaN4aZ+rL77MjjinDi6860FjsF+8teWSq5XgjPOiarrlqk6Jj4tEbUfWYWzzx8NqFP1jav4sLqh2uXE7JQAh+RgEEKQkJ6IhPRE1N2+gTfB8nq8cE/OovtQW0CW48GzvQE+DDUfXsn7KcQSzOfIsjRonJV5C8DdvpH5LAAZ4JQCgPMt8ADYQgj5DYDN4GYMpn2Oy/8G4NOY9znwo9TEo873P5hzcz4ClYMmhWUzYghdfQ7khAajHLukBI5oaGjlrkHOVCiU0GXne2EFwlE6C9aXoe94B7/c9NJJLP7YGqQUxF5itHDfw7nJWbS8cppfFvpvOOOcyFkqHcVmxV2XYKJ7FAOnuzHRM4rUogyklWYiPi0RYx3D6NrfskCgTy3JRMGaUmTWcsLqeMcwHHFOdL3XgtHWQTgTXXBPz/FKgz8ykBxZtfnIqBIP5BlPWlkWam5ahb6jHciqzUP20kLFPhPB3nslZov+8zicDsSnJaL8ysUo2bwIp586gJmR6QX7x6clKqpXtKA1A/10272Y6V4Y9pZhGfYAuBvcrEAWuEhEhwGAUjpGCDnm21YPzq/Ab3f4GIB7ADwBYC+AQXCKxGcB3Knw3P5pt1sAjMnsc0y0vNB+khHzRDxDslLkHDflBGQ7zSJIXYOSLKP+axQrSZv6u7AvV3tIQbVEOvyoUegx0p2YmYy1X96CIz/kQlh7Zt0YqO+OSeUgXIYae+GZ9fDLmdW5Ad+53DfvjHchvTxbcsYmrSwL6eXZaPjtIX5dSkEalty6NkCITivlYuv77ewBYGZ0Cqd+tZ/PaSHGlehCcl4aKq9bGlHBN6MiBxkVOaqPUzPbo3RQxhnvwsrPbcZY+xDOv3yKn9FxxDkRl6LcWVwtVmyj7NI/MVTjF/b9ysE+SqkwhNjbAK4HpxwA8/kN7gTwf5TSLwsLI4R8XuIccjMJ/lBmXZTS92T2YTBCortxp9FmL3LKgLCh9QvMdkMvcyIzFQNA+cyQMBqInSKDyClm/r9QOONdKFg/P8ptliN/tJFSkM5Z4Po4/mPO0Vvpc5AjtTgD6+67AlXXL0PxJVWo/vAqRaPrCelJWPyxtUjMDEwWVnLpImx46CqsuWcLFn9sbcyMiKtpc9NKs7Dqi5ei7vb1qLpuKZbevl6zP0YorKgYMKIXSmknOFOdLQAuw7xJkZ+94EKGfgxcYrR3fes9CGjhAELIEgA3SZxmAkCmxPrfg3Mw/rbPTCkAQki+wstgxDiW8fxS08HLdUJ2VQr8yJlIhUIoaN99U6WeVdINO3bQwd4nsUNwqGcltFlPKVQ+axCLPiZyimNKYToWXb+cX3bPuNG19zldzulwcWZJxZuqgkYAEpNalIEVn92EpXdehLxVJSi7ohaFF4nNhc0nXIXJT6i2VvinFkIIUosykLOsCEm5qeFWVRa7tTuMqOAtALXg7PvFyoF/eTOAw5RSf9zhFwB8khCykxDyRULIIwD2Y36GQchBABmEkO2EkDsJIbcDAKW0FVx402sAHCOE/Dsh5Au+/y/DAonWGPZAd7MiLZ2EXPSdYGXZWQmQIxqvyY+4g47GDjuYKZt7ct4h1qUi1r4VMfI9DTWjlF1XgOHmfj6s5/kX/gcFl9wMhyuyCdBSCtKQUrAkonUAjFUmlfo4WQE7DkYwooo94HwF3AACzHsopT2EkEZwysNbgk0PgrP/v8V3bAM434WlANaKyv8vADXg8iDcB27G4Vlf+T8khDQA+EdfmSkAesCFRP1nfS6PEe1oznOw4esvIa1ixYLt4QgOesbmV+pzYBUHZqn6qkn8JhSqnnyhRXY/O6HVYc9MlIboPPuHIxht40JwrvzsJiSITFEYyvF6vDi8Yze/XHX9MpRc9zyAyL4nVvJzslJdGPrD8hwYhyDPQVTfWwYjGLqaFYXbGfmP39QfNJRwSPwCm/C/1Ue7pO6deF2wKXz/KNmTL7Tg7psqsam/y3LCQTh+BlZ/fqGYHZsBADjiHIhP52zQ1fgt6EW457LCc3A4HSi9vJpf9szMWeJd1ytcqxCt5VnhfgDWeF8YDAaDoQ7LRCvyTwNPt92LfSLhPpyY6tES5lNtPfflFgFtofczGzXT/XZIdKdUIPRnjnXGuUAcBBM9Y+h45zpk1uQj56JfG11NAAuVZq330grPQegwPNHNRezTIzGc3Oyd0uuVS9iolUjfZz1g2doZDAbDXmieOZjpfiRgOZwG3z+i7P+vxrxGjmjogNQKJsd/ug+b+rv4/1Zj+45tqiMbiaNQWREljpnEyQmz7uk5TPaNof6Z99F1oBX1z7yPwUOfDlq+3s6ldnfcBwLj+E32jQdsUxPYwIj3K1xH3WhC6h7YYSaXwWAwYpmwZg70mkYXCozCGQS9R439ZRhty67VGU6oDGgZ3d01+R0klu/Epv4u7Jr8TugDLIzw/tlNwJKqb1pxJkYvDIF6KU4/FRgwon1PI2o/ukY2fKae5ip63ctIjwY7453875y6Av63Uh8QpdsY+qDHgI8cVvEbYzAYjGghLJ8DI0Z/tu/YJjuDoAdmjFiFGyUjnM5uuu1erPrCprDObyX0yIdghZwKxZcukt02emEIg/XdQY8PlqnWCqOwZtfBGT8/riF07pYKsRmuWQ8TOvXHKCWVwWAwGOGjeeYgofBh/reRnWc4o6Zyx7LOPrLICetSSpUe4QjlypBTwoywqU8tykDltUvRd6IDCelJyF1RhKmBCVzYzSW0bH6lHn3HO5FRnYucugJbJs6KVHQp4gidsExMqNk9FgrT+tghmhmDwWDYEV2iFRkxevPA/S8HzCBobfyjIXOyWqwu1KjxOwg26h/Oeyc2WTMjclDu8iIsvX0DFm1bjvTybOStKkF6WRa/fbxrBB17m3D2+aOKyovlUVOHa77p8sy4+d9i/yU5Qr2DVv+GYh2mGDAYDIZxWCZDshCxD0K4xIpSYGfEz1zJc9cyq6RUATBD8HY4Haj96BqUXl4dYCYzPTgJz5zH8PNrQel3ZPT9c7jmfQ7Gu0YDtgkVhFDvkRVMzhjqYIoBg8FgGItlQpmK8QuLduy8mYOceoRmHGqVQyuE1tQKIQSFGyqQmJWMc386wa93OEObykTqmpUqZYZ+B4LbM9Y2yP9WO+Lv93GKtpkCM78JM9s7phgwGAyG8Vhy5kCIHTttf6elZvTUaiYikUjQJUaJiYiae61llsEs5iZm+d9lV9aCOKz9aaoRzPR+l7rfb8XZPxzllzOr8wBoH0iwYxujBKu1KXrCFAMGg8EwDl0kELUNtdjGO9if3thxJiISiBNKyT2PcJ6RUCgL5YwcSkGIJmFBaGIUbYTzXc+Oz+Dci8fRvreJX5dZk8dHglIj5Eez4AyYKzyb9f2ZNUMR7e8Gg8FghCLsPAdajzNa8JcTFMIZJYxG84NgqDUf8R+jBCkTIjH+5xnJe26WecZI8wD/W0v0nUigZYZMKyMtA2j847GAdSWXVaPoogrNZdrZHC0YVs8qHg5mXEs03S8Gg8HQAqGUht5LeAAh6wAcWvmFzUgtygjr5Mw2fx47h1wNNyGWWUpXOCFxjcQ9NYejP3qbX177lSvgjHMGOcKaqL2/Su+r1+3BkZ1vgXrm26pF25aj+AN/sM03wpgn2hSWSDDeNYITP30XANZTSg9Huj5G4Zc3Dh06hHXr1plyzsOHD2P9+vVAlN9bBiMYETNsfuD+l6POHCRWCfcZSikGVjL/MnpkvOdwG/87a3G+YYqB0ddh1Lc8Oz7DKwapKdlY9cVLkb2Ey4qsh/mh0e+ald5lK8DafAaDwbA2lvF69IcdjNWO1G4dpvg5+etv5evQI2OuEYy2DfG/y6+sNeQcfgHajgrC7Og0/3t8YhD5k6sw2Tem2/M0etYqlkwRGQwGg2F/TFEOpASScHMZxLIiYQWkBB4pIc2qEWSsoih4PV5MdM/H6Z8ZnYZaUz8lWE15U1OP1OIMOOPnZ1Nef/oJ1D/9Pia6RjSfnzmdMhgMBoMhjeHKgdoRS6VC4fYd26JuRM4qgpue6PGMjFYCldx3o4TJmZGpgOWGZw/h0GO7cOIX+wKclPXArPdL7/M4XE4s++RGJGQk8esoBdr2NBqiSGmBKRsMBoPBiBYsYVbkF/TVCJLRPmtgpqKg1G47UvfcDCUwUopZQnqi5PqZ4Sk0vXQCc1OzktuDQSnFRM8YRlq5CD/HfrwXZ35/BJTSoM+Qer2Y6h/XReAONSujVphOyEjC8s9cjNpbVvPrJrpGMd4xrLl+emGWyRaDwWAwGGZgqHIg7iz17Dz9mU2jjUiYuigNSWmEkG6EQKXVSTUS997hcqLEF6dfjNfjxbEf7cXsGGdzP9Y+hLO/P4LGF45hanBCtsyOd86j/pn30fj8MYy0DGBuYhZjF4bQ8mo9KKWywn/zX0/j1K8PoO2NM+FfmAE4nA5kVOSg8tql/Lqpfvn7EA1EYxvHYDAYDGtjSLYls0bQos2syApEIrysnucUx3jXUq5ReTjkKNpYify1ZTjygz2S24//9F2kFKYH+CaMNA+gcH05SrfULNh/WkZxGDjdjU8v4kxz8teUonzr4vljhicxeLYXANB3ohMZVTlIr8iGwxVe5CQj7qXX7eF/t+06i5zlRREN/WpkvgfWxjHEJJbvxBw9CeDGSFeFwWBEKYbMHAidPcWjsWzq3ZqIBWiznpPeo/VSZWmdRdCjHKU445xY83eXI29VCYo2VqD6hhUB24WKgZ/uQ204/5eTC2YC0suz+d/EmQHiXJiPZKixN+C44XN9AdvP/ekEDj++B61vnIFn1q3pmkIhNMdRM9uTVpYV4KB85Ad70LbrbIDSEOq8RjzLaPQZYlgL1n8yGAwziIjPgV4NnFCoUCtgMKyF3gqCHtGIzFYQXElxqLh6CUourUbW4nws+dhaEAeBKzEOxJc0WSj4A8Dg2V6cf/kUv+yZccMhGEWvvOEr2Pyf+1D9se8EHJdZnQdC5jMxz47PSNap73gHjvzwLfQebdfsixDsOWjJrp2UnYLam9cErOs92o62XY1BjxO3D3ZtK4TXYcVrsGKdogF2XxkMhlkYYlYkhRFT70KTBf9vNnqnHbPNacxC73fCLNOrtLIsrH9gKwDwgjkhBJRS9J/oRKvPN2DobC+813vRe7Qd7W+dCyjDPTWGmfavIKsMqLimDq2vNwAA0suzAvbzTM/PDiTlpMCVHI+xC/P5F9p2nUXbrrMou6IGidkpAOEUFaGCEQ5q72VqcQZWfm4TWl5r4OsprK9S7Nhm+L9ToYJgt2tgqEf4jGe6tYfxZTAYjFCYphz40bsTE5bHOsjwYfcwkGAKk9FCmdAZVWh7TghBzvIiXjkAgMM7dkuWkZT+FgButqFrfwu/PjErOWC/OcHMQcH6cuQuL8LM6DSa/3Y6ICLQhT3zykfZFbUoWFem+Hr0Vj4TMpJQe/Nq/todGv0O7C5cW63uVqtPMCLhY8VgMBhWx3CzIpasjGF39AzJqYZgIX4dTgcK15cHPb5oY0WAGZI/6hEAnPndEUwNzDsue91e/ndCJue0nJCeiLqPr0PtzatBnAtnCLoPtoJ6vQvWK0EvHxfv7LyfwVT/OCb7xiX38ysA0SIEWiWJX7Sg1iSVmbAyGIxoxnDlwC/cMAWBEQorvyNWFMJKLq/G4lvWBKxzJcZhzT2XY/mnL0bJpdUB24SKgnt6Dq2vNfDOxglZ8wnGRkXJ1zIqc7D+/q2ovXk18lYW8+vnJmZxaPtuHPnhHgyd61OkKAgFWj0UBGdi4ORn/dMHMNEzFrRcsVBt5LNlAqT+6DngpPYdZEoBg8GIBdjMgYmwTiUQcUfrHyG36vuixKnWTAghSK/IxqIPLufXLf3ERXAlxiEpJ2XB/otuWI68VSX88njXCI788C24p+dQetm8ItF3okPyfBmVOai4pg51t60LWO+Z9aDppRM4/pN3MT08qeoawhXSCSGouHoJv0wpMNzIhWQNJcjJjbzrEdyACZHGkFi+E0++0IInX2gxpHyj3gcGg8GwE6bNHADWFfrMIlodfrUi56Ru5djuVpxByK4rwIaHrsKGh66SzbgMcLMKFVcvQd3t6wPWH33ibRz78Tv8sns6eOjS1OJMrPz8pgXr5yZncfIX7+H8X0+BetVHNtL6beStKsHKz83XZ6KXmznQYnajJXqSkjLZdx8+RibV1IIV2wIGg8HQA1NmDgBrC3xmojRqU6Q7PrMQ3g+7XLPZIU71JrUoAyvuukR2e1xyfMgyEtKTsOGhq7D2y1sWJGIbbOjBoe270PbmWfSf6goZAlWcB0WTeVHCvHnRaOtggH+FGiVBqy2/1cOLMuQJ9cyZEsBgMGINQ5UDv2IgVhBY56msw4mV+8QcK80nMSsZKz5zMXKWFQasdyW4UH3jCpmjFuKMd6FwfTnWP7B1gSlT77F2tLxaj469Terrp/LdJ05HQGK04z99F01/Pgn39Jzqc4eDXL3Z+x0+kbyHYvM39jwZDEY0Y6hyIJwtEJsUxYrgq4ZYvyesw9WfYKZ8idkpqLpuGW+StOGhq7Dm3i1ILc5UfR7iIFj+6YtRfEnVgm3dB9vgmZPOXjwzOo2u91tx6sf3o/mlHXBPB0YbGjzbg9Y3zsgmafPjjHOi8rplAeuGGnvRf6JT5ZXoTyTeazvNxKlBzcyOkutXY+rKlAIGgxErmJIhWS4cIyMQYXKjWO+IolGwMYJQ98nsSGHFm6qw7v4rseTWtUjKTeXXt77WAPcUN4pPKYXX48VwUx9OP3UAHXubMHx2Pzr3PI39X78axx//PKb62tB5pAbn/3IKfcc7cOJn78r6MVBKcfqpA2h66cSCbWbPHIiJ9Dcczd+RUgVB7h48cP/LQfulWPeRYzAYsYvhSdDUKgV2T0gULtF87aE6Y7sgJWxE8rmF+mbMvucOpwNppVlYtG05Tv3ffgDA4JkeDJ7p4bd7PQvDnlIPl/V19Pw7OPz9W/llAKBeiq4DLZIzEyPNA7L5DTKqcsK+nlBY0ZRIj4z0dv5elVx3qGuz67Uz/n979x5jxVnGcfz7LJdlWe67CdttpVxagdrSEGxFbHRpinhJtFUTkVJLraJio/yhFawFGmvUxBpjmxJSGwtpsGq1gBG1prbGC6maaq8rpbKCpWzTQgss0IXC6x8zZx1m5+ye29zO/j7JZPfMzJl553Jm3mfey4hItRIpOQgb6MYVfHpez0+9hqJybrZ5CpLSzgSGG/QmZbDfaFNLM9M/8DYahp99mQkHBq0Xt9M+vwUbNr5vXDAwKHhpZxd7H9nFmTfPrqJ06lh0laNhjcMZe97EQbcjDkm0KSrlGlnNuZnXzHHUey1ERKR0iQYHpRbTppXZEcmzOHvLiQrYS8l0TZo5mUtuXMCIZq8HpKaWZsa0j2fSrMm0z5/K7E+8namLZnHO5VO5aOlM2jtW9FtGc9s4rMF7Q/MrT+2nc8vf6T1yom/68cBLz6YsvJC5N72HeasWMnfluyve3ihRmfFqS5Fqcax0jSxOgYGISPlir1YUFHwSFa5fX1AoytZFPVqei/rrQZYzYsH3aNS6el6xd3SUso4Ro0dy6YorBp2vqXUMTa0v0D73SkZMvoPe/as43fsmI5ob6XnpMHt2PMvJo29w4uAxnr53J/NWLeTk0V4OPtcNQOP4UbReci4Nw5J55lFtYFDL45OH6phJpjHr+0JEJMsSKzmIKjUodgFXQ7Bo1e4X7dfqZK2tQZRgNaNaBzJJNpIf1tjE6OkbGdHcCMCY9vH93sx89MXXObL3YF81pXPeMS2RwCArVR7TrFJWCQUGIiL5kFhwMNDT7qibWr1kZLOSkYBs1iHOyr4pV9Z7k4orQEjTyLGjuODDc/o+7/v9LnoP//9lZ82Tx8a6/mA3mlHHvtLzodprXZbPw6zI4u+gXu5xIlJ/UmmQHBTOxBS6Pc1iRrZUcTeorqebSl4yNuXWtc+CvKQzSrHgZvy0FhrHjfLmOXSc7r/t7ZvWMDLRWpL9XoxVqahrXbm/8awHq1mQpQc1kM2HNSIikIHgoN7EXfUk74FT3uUtA5a39AZFBQhmxvQPXgx29rwTZrT2BQ31QL/x2slSQBDlS1/cUVcPfEQk/zIRHNTTU684t0MZhoHFmQmox2o6Sao08xP1e2puG8e0xRcxvHE41mBMmNHqBQwJK5wL9XLtGgoGOlaFTHrhXM1aSYOISFKSLYcXiVGhR504Mmt56A0miwq9a1UT2AaPa+Fvy+w2Wma34ZzDzAZfSAx0PuTLYMer8Dbx8LlaLAis5cvvNm79T9nfERGJi4KDmNRLxiGPde3jMJS3vRq1yPSE398QDNTSCgzSoJKKypSzv8rtOKMWCr8RPYAQkazIRLWiehPHBT4PdVKzUASvm+vAqjlGlXy3FsejVg1/805V27JvKJ+fAmbWYWbOH94fMX25P+2qGq/XBYYzZva6mT1nZpvNbHGVy55kZuvNrKM2qZU8UHCQE2m1NyjWHqSUN8VKNlValzrNjE8wY1zshWxDSZa2v17r5pfbba0CAwn5RsLr+wtwHfBJYDXwa+CdwG/M7JdmNrrC5U4C1gEdtUik5IOqFUlJigUIeqqbL3k+RsG3qkP/82+wz/Uma9tXz9We4gwG4mwrJal5AphnZtc45x5KaJ1dzrn7gyPM7Ct4QcrXgA3A9QmlRXJOJQdSkfCNTDc2SUJUo9CBnlyn8UQ7ySqAWXhqX+yYpKHSfZ/2PpS6cy+wD7jNSmgYZWZtZvZDMztgZr1mttvM1prZiGoS4Zw745y7BXgMWGZmMwLr/JCZbTWz//rr7DazTWbWHpinA9jtf1wXqLp0nz/9fDO708yeNbMef/hjVJUqyReVHEjFFBBIGor1GpOl8zGq15s4lbIPwp0L1LKzgTSrfeWhPdZgVHpQd07iPbG/B/g48ECxGc1sIrATOBfv6f4u4CrgNmAO8LEapOdHeNWC3uuvA+BTeHnAjcDLwCzgM8B8M7vUOfcG0Al8Gfgu8BDwC/+7//b/XgYsArYBe4BxeFWbfmVmi5xzj9Qg7ZKCioODE6/21DIdIiIV6TlwbdHxjW1rgJX0dn8rsfR8c827WLrkTnoOHK75sgvb2ti2pm+bvG309Hb3X2dh+qm9zwTGruz3uRb7qJC+YsckDl1PPhFKw9n7ILh/gMjtPOWeIenzJCoNUccvylC7/3Z2dqaxrlkRD/0POOcOlLio+4CvAuvN7GfOudNF5lsNTAWWOOd+4o+728w2AJ8zs8XOud+Wmv4invb/XhgYd61z7lhwJjPbjlfKcA3wY+fcy2a2DS84eCpcbQnY4Zx7MLSMHwD/BG4GFBzklXOurAGYAhwDnAYNGjRo0KAhleEYMKXce3ieBtLLb5wsMn79IOnt8Of7tP95mf/5ev/zcv/zVYHvdAIvFNl2B9xdwn5ywP0DTL/An+eeiGmG98S/1R9eA74X8d3Btn0U0OIvYwNwKO3zR0PlQ9klB865fWY22z8BREREJHmvOuf2pZ2IOKWY32gAzkSML7XUoGALsAZYa2ZbiswzDfhdeKS/7T3+9GqN9f8eKYwws7cC38arFjQmNP+EUhbqt4m4Fa+HpPNDk10lCZVsqKhakX9BquuLkoiIiKQrz/kN59wZM1sP/BSvjn9vJYupQVLm+H93A5jZWOAPwCm8tg27geP+uh6g9M5qvg98Hq+k4E/AIeA0cAOwtAbplpSoQbKIiIhIPB4EngS+DtweMb0LmB0eaWZvwXui31WDNCzHKwl52P98JdAGLHTOPRZYZxMwMfTdgYKTpcBm59wXgiPN7MYq0yspU1emIiIiIjFwXoX8tcB5wIqIWbYBM8ws3CvR6sD0iphZg5ndjtcWYpNzbo8/qdA4Otzi+mb65wsLjZbDQUNhOWctw8xmAldXmGTJCJUciIiIiMTEObfdzP4KXB4x+Tt43Z1uMbMrgOfxnux/FPi5c+7hiO9EmWZmy/z/m/EaEl/t/90OBJ/u/xl4BdhsZncBR/11XgYcDKW928xeBJaY2fP+9C7n3OPAVuAGMzsG/AOYjlfNqBOYW2K6JYMUHIiIiIjE61agX5ekzrnXzGwBXpWjJcAkvDYW64By+tZd4A8O6AH2470/4SYX6grVX+f78LoovQWvBOBRvBKGRyOWfZ0/7x1AI7AJeBxYBZwAPoLXzuBfwGfxqkkpOMgx80q8RERERERkqFObAxERERERARQciIiIiIiIT8GBiIiIiIgACg5ERERERMSn4EBERERERAAFByIiIiIi4lNwICIiIiIigIIDERERERHxKTgQERERERFAwYGIiIiIiPgUHIiIiIiICKDgQEREREREfAoOREREREQEUHAgIiIiIiI+BQciIiIiIgLA/wDOQsb9NQTxswAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1500x750 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "ax = xhgis.land_use_plot(gdf, unique_id=\"Station\", idx=2)"
    ]
@@ -284,9 +1566,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ceebb0e0d14e4d7d8c496506065e5557",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "0it [00:00, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "datasets = {\n",
     "    \"era5_land_reanalysis\": {\"variables\": [\"t2m\", \"tp\", \"sd\"]},\n",
@@ -322,9 +1619,433 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 21MB\n",
+       "Dimensions:  (Station: 3, time: 262968)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2MB 1981-01-01 ... 2010-12-31T23:00:00\n",
+       "  * Station  (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
+       "    source   &lt;U20 80B &#x27;era5_land_reanalysis&#x27;\n",
+       "Data variables:\n",
+       "    tas      (Station, time) float64 6MB -23.29 -23.28 -23.49 ... 2.389 2.339\n",
+       "    pr       (Station, time) float64 6MB 0.0 0.0 0.0 ... 0.003698 0.0006662\n",
+       "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-235fc579-8b47-4694-aa47-bc801035cfb1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-235fc579-8b47-4694-aa47-bc801035cfb1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 262968</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-83e87f62-2544-4a3f-a2cf-08eb63f13eb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83e87f62-2544-4a3f-a2cf-08eb63f13eb0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-12-31T23:00:00</div><input id='attrs-f12b1c56-5d0f-4c0b-83c2-51dfea73d022' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f12b1c56-5d0f-4c0b-83c2-51dfea73d022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b838677c-a441-4749-aafc-a29a7077dede' class='xr-var-data-in' type='checkbox'><label for='data-b838677c-a441-4749-aafc-a29a7077dede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;1981-01-01T02:00:00.000000000&#x27;, ..., &#x27;2010-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-12-31T22:00:00.000000000&#x27;, &#x27;2010-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-88c03776-e551-453a-9862-ecb8766b12e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88c03776-e551-453a-9862-ecb8766b12e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a76e8e25-6ec1-49fe-8849-0d34a56a209b' class='xr-var-data-in' type='checkbox'><label for='data-a76e8e25-6ec1-49fe-8849-0d34a56a209b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-7bcbc435-5620-4a98-9880-8c623a347a31' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bcbc435-5620-4a98-9880-8c623a347a31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe066f4-f0d6-49fb-958c-ad1d34380934' class='xr-var-data-in' type='checkbox'><label for='data-7fe066f4-f0d6-49fb-958c-ad1d34380934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d35e0930-317a-45fb-8111-88bd1805440a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d35e0930-317a-45fb-8111-88bd1805440a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.29 -23.28 ... 2.389 2.339</div><input id='attrs-912c0908-ec3b-4da5-995e-5a5f8afc48f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-912c0908-ec3b-4da5-995e-5a5f8afc48f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07eb9575-d6f1-4fb3-97dc-f3447052c07a' class='xr-var-data-in' type='checkbox'><label for='data-07eb9575-d6f1-4fb3-97dc-f3447052c07a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[-23.28822588, -23.27912287, -23.49087885, ...,   2.83788666,\n",
+       "          2.70646034,   2.4310486 ],\n",
+       "       [-23.31938812, -23.30393538, -23.54079412, ...,   2.86474679,\n",
+       "          2.73432873,   2.45404823],\n",
+       "       [-21.71574848, -21.86092699, -21.64519897, ...,   2.4546858 ,\n",
+       "          2.38858784,   2.33939909]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.003698 0.0006662</div><input id='attrs-778c6673-07e0-4ea7-bca1-36916cf4c3e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-778c6673-07e0-4ea7-bca1-36916cf4c3e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e9816f8-4c27-4cc6-84cb-6f78da34f90c' class='xr-var-data-in' type='checkbox'><label for='data-5e9816f8-4c27-4cc6-84cb-6f78da34f90c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total precipitation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>228</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>mm d-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
+       "        2.05977317e-02, 3.16449758e-01, 1.18959296e+00],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
+       "        1.58205582e-02, 3.07860781e-01, 1.18625827e+00],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
+       "        6.75786463e-02, 3.69828482e-03, 6.66245147e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.07 55.07 55.07 ... 64.21 63.84</div><input id='attrs-253618b0-5963-45ad-a06a-904ec1d17a45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-253618b0-5963-45ad-a06a-904ec1d17a45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d2bd49-d0e4-4c6e-a7d6-3cae1bbd6a22' class='xr-var-data-in' type='checkbox'><label for='data-86d2bd49-d0e4-4c6e-a7d6-3cae1bbd6a22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[55.0743319 , 55.07432449, 55.07432449, ..., 35.97044805,\n",
+       "        35.67134084, 35.41302639],\n",
+       "       [54.10321706, 54.10320674, 54.10320674, ..., 35.57231545,\n",
+       "        35.26789736, 35.00541001],\n",
+       "       [99.38436078, 99.3800334 , 99.37617487, ..., 64.57584623,\n",
+       "        64.20917775, 63.84102413]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4afee57e-9b22-498d-be2e-a1e7e0a66e4c' class='xr-section-summary-in' type='checkbox'  ><label for='section-4afee57e-9b22-498d-be2e-a1e7e0a66e4c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56948c4d-4884-4ebb-a5b0-a25a9f50229d' class='xr-index-data-in' type='checkbox'/><label for='index-56948c4d-4884-4ebb-a5b0-a25a9f50229d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01 00:00:00&#x27;, &#x27;1981-01-01 01:00:00&#x27;,\n",
+       "               &#x27;1981-01-01 02:00:00&#x27;, &#x27;1981-01-01 03:00:00&#x27;,\n",
+       "               &#x27;1981-01-01 04:00:00&#x27;, &#x27;1981-01-01 05:00:00&#x27;,\n",
+       "               &#x27;1981-01-01 06:00:00&#x27;, &#x27;1981-01-01 07:00:00&#x27;,\n",
+       "               &#x27;1981-01-01 08:00:00&#x27;, &#x27;1981-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2010-12-31 14:00:00&#x27;, &#x27;2010-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2010-12-31 16:00:00&#x27;, &#x27;2010-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2010-12-31 18:00:00&#x27;, &#x27;2010-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2010-12-31 20:00:00&#x27;, &#x27;2010-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2010-12-31 22:00:00&#x27;, &#x27;2010-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=262968, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94af4785-e7bd-4df8-b6d4-00f56c18d1b4' class='xr-index-data-in' type='checkbox'/><label for='index-94af4785-e7bd-4df8-b6d4-00f56c18d1b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e208671-81cf-4fe6-8d52-c23a8875a4a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e208671-81cf-4fe6-8d52-c23a8875a4a4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 21MB\n",
+       "Dimensions:  (Station: 3, time: 262968)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2MB 1981-01-01 ... 2010-12-31T23:00:00\n",
+       "  * Station  (Station) object 24B '031501' '031502' '042103'\n",
+       "    source   <U20 80B 'era5_land_reanalysis'\n",
+       "Data variables:\n",
+       "    tas      (Station, time) float64 6MB -23.29 -23.28 -23.49 ... 2.389 2.339\n",
+       "    pr       (Station, time) float64 6MB 0.0 0.0 0.0 ... 0.003698 0.0006662\n",
+       "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds = ds.rename({\"t2m\": \"tas\", \"tp\": \"pr\", \"sd\": \"snd\"})\n",
     "ds[\"tas\"] = xclim.core.units.convert_units_to(\n",
@@ -361,7 +2082,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -399,9 +2120,2004 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 54kB\n",
+       "Dimensions:               (Station: 3, time: 30)\n",
+       "Coordinates:\n",
+       "  * Station               (Station) object 24B &#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;\n",
+       "    source                &lt;U20 80B &#x27;era5_land_reanalysis&#x27;\n",
+       "  * time                  (time) datetime64[ns] 240B 1981-01-01 ... 2010-01-01\n",
+       "Data variables: (12/75)\n",
+       "    tas_max_01            (Station, time) float64 720B 5.1 3.616 ... 3.161\n",
+       "    tas_max_02            (Station, time) float64 720B 13.23 1.781 ... 3.544\n",
+       "    tas_max_03            (Station, time) float64 720B 11.61 10.72 ... 12.78\n",
+       "    tas_max_04            (Station, time) float64 720B 19.4 20.66 ... 25.98\n",
+       "    tas_max_05            (Station, time) float64 720B 24.39 28.17 ... 32.24\n",
+       "    tas_max_06            (Station, time) float64 720B 29.32 28.33 ... 25.42\n",
+       "    ...                    ...\n",
+       "    snd_mean_10           (Station, time) float64 720B 0.3611 ... 0.4031\n",
+       "    snd_mean_11           (Station, time) float64 720B 4.29 2.369 ... 7.307\n",
+       "    snd_mean_12           (Station, time) float64 720B 44.07 5.757 ... 52.67\n",
+       "    snd_mean_spring       (Station, time) float64 720B 6.949 92.08 ... 33.31\n",
+       "    snd_mean_summer_fall  (Station, time) float64 720B 0.1345 0.1227 ... 0.7276\n",
+       "    snd_mean_year         (Station, time) float64 720B 14.36 47.45 ... 25.75\n",
+       "Attributes:\n",
+       "    cat:variable:          (&#x27;tas_max_01&#x27;,)\n",
+       "    cat:xrfreq:            YS-JAN\n",
+       "    cat:frequency:         yr\n",
+       "    cat:processing_level:  indicators\n",
+       "    cat:id:                </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f20a6afb-223c-44b8-9760-3e58d2e1d789' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f20a6afb-223c-44b8-9760-3e58d2e1d789' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-642a104f-aa01-4cf9-a5b3-ad854c4f3bad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-642a104f-aa01-4cf9-a5b3-ad854c4f3bad' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-34e39ac5-2e61-4a3f-b27d-53931f39de7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e39ac5-2e61-4a3f-b27d-53931f39de7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7c39073-11b4-4571-a2cb-28349e54be1a' class='xr-var-data-in' type='checkbox'><label for='data-b7c39073-11b4-4571-a2cb-28349e54be1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-b2ed12a1-3376-46e1-93e5-21568c72a0df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2ed12a1-3376-46e1-93e5-21568c72a0df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f466e46-f8e0-4890-beb7-2c7af187ecc0' class='xr-var-data-in' type='checkbox'><label for='data-9f466e46-f8e0-4890-beb7-2c7af187ecc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-01-01</div><input id='attrs-9474e629-444d-4714-8129-6c3384f2223c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9474e629-444d-4714-8129-6c3384f2223c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4e70cbb-1a80-4c0f-a640-7c1d845bb1bf' class='xr-var-data-in' type='checkbox'><label for='data-f4e70cbb-1a80-4c0f-a640-7c1d845bb1bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1989-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1992-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1994-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1995-01-01T00:00:00.000000000&#x27;, &#x27;1996-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1997-01-01T00:00:00.000000000&#x27;, &#x27;1998-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af24b748-a6a3-4804-bb38-097a25d465c3' class='xr-section-summary-in' type='checkbox'  ><label for='section-af24b748-a6a3-4804-bb38-097a25d465c3' class='xr-section-summary' >Data variables: <span>(75)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.1 3.616 5.859 ... -4.901 3.161</div><input id='attrs-5e1dbf1a-7d88-4bcd-99f2-d6a127c13a57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e1dbf1a-7d88-4bcd-99f2-d6a127c13a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de0115a1-f132-47c0-ab90-df9c5c1137b5' class='xr-var-data-in' type='checkbox'><label for='data-de0115a1-f132-47c0-ab90-df9c5c1137b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_01: fa.TAS_MAX_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.09970691,  3.61586845,  5.85897762,  2.75846328,  1.34307291,\n",
+       "         7.49477154, -0.11705404,  6.69048937,  5.34372221,  6.62090344,\n",
+       "         2.88713625,  4.73808158,  6.49090408,  6.78730596, 11.8859219 ,\n",
+       "        12.27703871,  5.59873414,  4.81807481,  9.12391615,  7.72375127,\n",
+       "         0.33653023,  4.61963334,  2.49816324,  4.16637352, 11.49726808,\n",
+       "         7.28978196,  7.10318437,  9.97727853, -0.37815915,  9.64856609],\n",
+       "       [ 5.13596802,  3.66389416,  5.94927364,  2.86461978,  1.6044473 ,\n",
+       "         7.55658552, -0.12096146,  6.72489395,  5.3503708 ,  6.67676318,\n",
+       "         2.95212524,  4.78564514,  6.53726962,  6.84094489, 11.93967389,\n",
+       "        12.29901885,  5.60932652,  4.84007213,  9.19720727,  7.77476672,\n",
+       "         0.34040129,  4.63641678,  2.49362044,  4.18374474, 11.53360721,\n",
+       "         7.33617264,  7.14414695, 10.01457632, -0.3560501 ,  9.68517166],\n",
+       "       [ 3.7206513 ,  2.94904376,  2.51073148,  1.54160011, -2.11923324,\n",
+       "         4.25832019,  1.64545087,  5.77418559,  4.39558379,  6.5456257 ,\n",
+       "         1.10929013,  2.18149223,  3.67288031, -1.49102634,  8.92987027,\n",
+       "         9.13321392,  5.29869101,  4.72591332,  7.98947545,  6.17163074,\n",
+       "        -0.98086383,  4.27317051, -1.22907417,  4.08838537,  9.01510864,\n",
+       "         3.96222893,  5.63500026,  7.2495975 , -4.90054071,  3.16118279]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.23 1.781 5.897 ... 4.389 3.544</div><input id='attrs-65b3b4a3-963c-4bdd-9409-24cd4c54fabc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65b3b4a3-963c-4bdd-9409-24cd4c54fabc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7d71d00-0ac8-48b4-9804-5a75f30569ec' class='xr-var-data-in' type='checkbox'><label for='data-a7d71d00-0ac8-48b4-9804-5a75f30569ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_02: fa.TAS_MAX_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.23417627,  1.78066639,  5.897047  ,  8.38189383,  6.23187165,\n",
+       "         3.94734765,  1.72950889,  6.77379236,  4.10767795,  5.71540183,\n",
+       "         5.29444258,  2.95601844, -1.41509585,  8.87637843,  3.55655692,\n",
+       "         6.42812942,  4.57582234,  4.88777957,  8.28514644, 11.30437158,\n",
+       "         7.53491747,  9.44713227,  2.53418957,  4.15654975,  5.40768459,\n",
+       "         6.84880538,  0.68767794,  8.8238776 ,  7.90971405,  5.38684185],\n",
+       "       [13.34969872,  1.86742987,  5.9609517 ,  8.46455814,  6.29953302,\n",
+       "         3.97536084,  1.67496152,  6.80201182,  4.09883566,  5.74894162,\n",
+       "         5.31779196,  3.01001241, -1.42117652,  8.91966168,  3.58702761,\n",
+       "         6.46013123,  4.63344934,  4.89811674,  8.35465443, 11.35825516,\n",
+       "         7.56801031,  9.48811607,  2.56849365,  4.17502177,  5.44809709,\n",
+       "         6.97055326,  0.69044224,  8.87410101,  7.93780327,  5.40386331],\n",
+       "       [ 6.45202093,  1.73467128,  4.26045011,  8.2703265 ,  3.88072955,\n",
+       "         1.69344975,  1.80403366,  4.03483321, -0.23827712,  4.24069304,\n",
+       "         5.98392509,  1.01665669,  0.96944758,  9.62264835,  2.18305335,\n",
+       "         3.89756401,  5.41739789,  4.86432367,  9.23841616,  7.23242825,\n",
+       "         6.06057013,  5.13294089,  1.78886811,  5.32394828,  5.31024798,\n",
+       "         1.63760055, -2.75672271,  4.33498612,  4.38857532,  3.54417938]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.61 10.72 8.643 ... 8.564 12.78</div><input id='attrs-40b58270-5fbe-4782-adaa-48fa06d8ec65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40b58270-5fbe-4782-adaa-48fa06d8ec65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcadbef6-9a17-4d9e-bdf2-054b18b3b47c' class='xr-var-data-in' type='checkbox'><label for='data-dcadbef6-9a17-4d9e-bdf2-054b18b3b47c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_03: fa.TAS_MAX_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[11.61305029, 10.71718777,  8.64309063, 10.32050539,  9.69716317,\n",
+       "        18.77961093, 17.23333721, 14.9954171 , 14.51459046, 15.20588053,\n",
+       "        12.78535033,  9.73250638, 12.86451641,  7.32756386, 10.49041347,\n",
+       "        13.07040811, 12.42694272, 16.07648374, 11.62595186, 14.99437443,\n",
+       "        10.48934295, 11.11485805, 15.01684557, 15.03942675, 12.45393504,\n",
+       "        16.75749747, 10.84847393,  6.03940021, 11.28109953, 11.39654197],\n",
+       "       [11.70581574, 10.77295229,  8.65726578, 10.3744815 ,  9.70867323,\n",
+       "        18.83533191, 17.29872489, 15.25949404, 14.62612218, 15.27950093,\n",
+       "        12.90176465,  9.75789743, 12.90706973,  7.34762863, 10.57412707,\n",
+       "        13.17452561, 12.44742536, 16.23122463, 11.67172479, 15.04303022,\n",
+       "        10.49061158, 11.16985495, 14.99866121, 15.62845381, 12.50942322,\n",
+       "        16.76794633, 10.89478063,  6.09437931, 11.28973406, 11.53320403],\n",
+       "       [ 9.6263103 , 11.24874114,  8.52152105,  7.94292992,  9.25771892,\n",
+       "        13.28065837, 14.70394159,  9.57683489, 12.19222383, 11.95864136,\n",
+       "         8.98142204,  7.1161893 , 13.19084133,  7.37957094, 13.87068545,\n",
+       "         9.18176518,  8.14605903, 14.29230419, 13.05173594, 14.14402528,\n",
+       "         6.49240969, 10.02428916, 10.11021337, 10.47194356,  8.11688514,\n",
+       "        12.62682089, 10.47658946,  8.4390292 ,  8.5637746 , 12.7773343 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>19.4 20.66 19.51 ... 24.34 25.98</div><input id='attrs-20c595ef-39f7-4930-8ed7-f99a749ae8a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20c595ef-39f7-4930-8ed7-f99a749ae8a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59f3edbb-3bdf-4c26-b00f-e1a49ab891bc' class='xr-var-data-in' type='checkbox'><label for='data-59f3edbb-3bdf-4c26-b00f-e1a49ab891bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_04: fa.TAS_MAX_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[19.39515357, 20.66427124, 19.51287867, 25.47683751, 20.6514128 ,\n",
+       "        26.68252749, 26.4755039 , 16.25758269, 17.1177428 , 27.96696261,\n",
+       "        20.64237561, 22.43228958, 21.59984323, 19.98165245, 16.07924523,\n",
+       "        18.39598937, 18.90702826, 20.94077889, 18.2127576 , 15.91616279,\n",
+       "        18.26979463, 23.70899174, 20.00611052, 23.76413551, 19.63660639,\n",
+       "        21.60530847, 23.87053729, 21.6293612 , 25.70181959, 25.23736619],\n",
+       "       [19.4313783 , 20.697013  , 19.52842706, 25.49956609, 20.68849699,\n",
+       "        26.69084351, 26.45252279, 16.34621327, 17.09906318, 27.95275766,\n",
+       "        20.60780575, 22.49067426, 21.61153513, 20.01534891, 16.13155258,\n",
+       "        18.42029146, 19.01571499, 20.92494221, 18.19802506, 15.95383941,\n",
+       "        18.38983146, 23.71937057, 20.05056598, 23.77668492, 19.64146391,\n",
+       "        21.7433102 , 23.8861419 , 21.66154222, 25.71552535, 25.30033799],\n",
+       "       [18.3652733 , 17.53684556, 19.77353556, 21.323609  , 23.54883511,\n",
+       "        25.46184117, 26.66500935, 15.72250082, 14.44136964, 26.68259053,\n",
+       "        21.49174624, 14.33380102, 18.24175537, 18.3300821 , 11.27893234,\n",
+       "        11.36429905, 14.63432526, 21.43687595, 18.21691446, 17.71896852,\n",
+       "        22.36480383, 23.85309229, 21.38794169, 21.43468718, 19.39423135,\n",
+       "        19.68412749, 21.75884815, 22.42963118, 24.34417958, 25.98413932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.39 28.17 21.1 ... 24.25 32.24</div><input id='attrs-04a96869-d21a-4f34-991b-6efbc8eb03b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04a96869-d21a-4f34-991b-6efbc8eb03b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-087e7f7f-9035-459d-9d4e-f2c5eacac39c' class='xr-var-data-in' type='checkbox'><label for='data-087e7f7f-9035-459d-9d4e-f2c5eacac39c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_05: fa.TAS_MAX_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[24.38602987, 28.16957303, 21.10499226, 24.25835686, 25.65742324,\n",
+       "        28.02222953, 28.53325718, 24.40578997, 28.77736928, 24.83001733,\n",
+       "        29.62038136, 28.9132663 , 23.88875426, 27.1079459 , 25.77400616,\n",
+       "        25.74897614, 22.38804048, 28.57039661, 30.14537914, 26.50799883,\n",
+       "        26.39230463, 25.70207489, 26.46354055, 27.87620306, 24.9409834 ,\n",
+       "        28.75223319, 29.06376559, 24.19901454, 26.65315594, 31.7088411 ],\n",
+       "       [24.40006753, 28.18414887, 21.11704976, 24.27472971, 25.65826026,\n",
+       "        28.08036824, 28.5567923 , 24.38715924, 28.76091707, 24.86806156,\n",
+       "        29.58633315, 28.90071095, 23.8882835 , 27.0914646 , 25.75852518,\n",
+       "        25.75607893, 22.39873203, 28.57913775, 30.15038937, 26.51920608,\n",
+       "        26.38742174, 25.70627389, 26.44962124, 27.90784929, 24.95241214,\n",
+       "        28.77514752, 29.05682014, 24.20595933, 26.65110504, 31.66957835],\n",
+       "       [25.10265365, 26.13891732, 22.88747297, 20.0947704 , 23.85722848,\n",
+       "        28.64437858, 27.90598922, 27.95612351, 26.54612167, 22.06627192,\n",
+       "        26.49697673, 26.3793735 , 28.05709184, 26.832759  , 25.42372398,\n",
+       "        23.2965823 , 20.48146432, 31.58755951, 27.78139509, 26.55128657,\n",
+       "        25.68825293, 24.60228629, 23.72480674, 26.81728379, 24.65675075,\n",
+       "        30.41104706, 28.26391113, 19.83283806, 24.25107572, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 31.99 ... 30.66 25.42</div><input id='attrs-bf5c24f0-f236-4621-bc65-31117a2aba51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf5c24f0-f236-4621-bc65-31117a2aba51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b933125f-afab-477c-9a7a-6ec8ffc42cca' class='xr-var-data-in' type='checkbox'><label for='data-b933125f-afab-477c-9a7a-6ec8ffc42cca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_06: fa.TAS_MAX_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 31.99417065, 29.25685908, 26.23459714,\n",
+       "        26.56160073, 30.98791636, 33.48695397, 31.71860745, 27.22914627,\n",
+       "        31.34577554, 29.45845522, 28.27114106, 32.07804509, 34.08436674,\n",
+       "        27.54956721, 31.38521307, 29.42217243, 31.29059367, 27.78569721,\n",
+       "        32.41092857, 27.25306955, 32.66015494, 28.03907184, 31.37836526,\n",
+       "        30.19420228, 30.12521476, 29.65699452, 29.31982926, 28.63271835],\n",
+       "       [29.3232176 , 28.32163051, 31.96959878, 29.26108121, 26.24084109,\n",
+       "        26.6111484 , 30.96444135, 33.47419035, 31.71416189, 27.2412937 ,\n",
+       "        31.32595475, 29.46571538, 28.25571497, 32.06233932, 34.11716534,\n",
+       "        27.5321431 , 31.37992645, 29.4280263 , 31.29507563, 27.80230808,\n",
+       "        32.40356792, 27.25652011, 32.63969415, 28.03661036, 31.37597518,\n",
+       "        30.20078541, 30.12753872, 29.64117769, 29.32715883, 28.6320129 ],\n",
+       "       [26.51960346, 25.18215287, 30.27622391, 26.98811584, 25.73152407,\n",
+       "        25.99474204, 30.71735504, 32.31060607, 28.29347169, 27.59748911,\n",
+       "        29.122464  , 28.50182986, 28.36394375, 31.02018307, 34.82043507,\n",
+       "        28.00472406, 29.8228807 , 28.95876441, 30.4277248 , 25.99397644,\n",
+       "        31.03007011, 28.79280337, 31.21388901, 27.10716262, 31.84135424,\n",
+       "        28.9232173 , 29.64953656, 25.44460638, 30.65900392, 25.42443101]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 25.19 30.29</div><input id='attrs-eb1fa718-2e0e-4d8f-847a-69621e95446f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb1fa718-2e0e-4d8f-847a-69621e95446f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86cb538b-6eda-46d7-bbcb-11f60dad823f' class='xr-var-data-in' type='checkbox'><label for='data-86cb538b-6eda-46d7-bbcb-11f60dad823f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_07: fa.TAS_MAX_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 29.93280616, 31.14183534,\n",
+       "        30.53145267, 31.93422015, 33.39342194, 31.61153884, 29.99426495,\n",
+       "        33.16331222, 26.55791614, 32.45545356, 30.44989024, 32.1329486 ,\n",
+       "        27.02761575, 29.67049013, 30.04351186, 30.95179553, 26.96749387,\n",
+       "        30.58251151, 31.83551545, 28.45266753, 29.75060225, 30.40140125,\n",
+       "        31.0491655 , 29.3688965 , 30.00300746, 27.85929982, 32.42969783],\n",
+       "       [31.24724762, 32.09330985, 33.10581228, 29.90197182, 31.16195562,\n",
+       "        30.54419049, 31.93373816, 33.42221195, 31.59700729, 29.98908743,\n",
+       "        33.14753505, 26.57391678, 32.46203007, 30.4658307 , 32.15847185,\n",
+       "        27.01222469, 29.66154006, 30.05423316, 30.96137765, 26.9743732 ,\n",
+       "        30.60040171, 31.80143749, 28.49706477, 29.76107429, 30.39498802,\n",
+       "        31.02933808, 29.36349353, 30.01969436, 27.89154373, 32.42311336],\n",
+       "       [31.41654478, 30.21777965, 29.99867504, 26.93282691, 26.6807832 ,\n",
+       "        28.67341768, 30.88959239, 34.34709354, 31.00392566, 30.67871838,\n",
+       "        32.11178281, 24.58506845, 31.23530002, 28.88614308, 29.97713535,\n",
+       "        26.73484998, 30.18193024, 31.76906317, 29.26651846, 26.82891583,\n",
+       "        30.46803785, 31.16902562, 28.51802119, 27.63115102, 34.46092142,\n",
+       "        29.57752707, 28.29858769, 25.4330964 , 25.19069016, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.18 26.86 28.8 ... 27.65 29.36</div><input id='attrs-963bfeb5-e6be-4d9f-a01d-24f95d21725c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-963bfeb5-e6be-4d9f-a01d-24f95d21725c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a47c901b-ead1-4f12-9967-6218a6d8ca95' class='xr-var-data-in' type='checkbox'><label for='data-a47c901b-ead1-4f12-9967-6218a6d8ca95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_08: fa.TAS_MAX_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[28.17966358, 26.85535179, 28.80468796, 30.21855922, 29.42490858,\n",
+       "        26.40210622, 30.28561027, 32.76663754, 28.44456825, 30.43126315,\n",
+       "        29.68052601, 28.37168961, 30.26502452, 27.22189891, 30.03467127,\n",
+       "        29.93451   , 30.3023172 , 29.93087748, 28.23554437, 25.91378625,\n",
+       "        32.19596358, 32.60162181, 28.79110356, 27.14498163, 29.7177641 ,\n",
+       "        29.63492607, 31.10080751, 27.40994338, 30.2338651 , 31.51508876],\n",
+       "       [28.17502424, 26.85288302, 28.77760105, 30.19541016, 29.42109236,\n",
+       "        26.40442951, 30.29332925, 32.7711076 , 28.42752694, 30.38747611,\n",
+       "        29.65635216, 28.37082745, 30.24699413, 27.22796501, 30.03806828,\n",
+       "        29.93770536, 30.28266697, 29.92472608, 28.22448852, 25.91630063,\n",
+       "        32.20339165, 32.60950278, 28.78978453, 27.12999917, 29.71600212,\n",
+       "        29.65315478, 31.1013523 , 27.43769804, 30.24413682, 31.48122368],\n",
+       "       [27.55078946, 27.11999592, 27.71833631, 27.73922751, 27.46176547,\n",
+       "        24.71592146, 26.91750235, 32.26845506, 29.93248986, 27.35225784,\n",
+       "        29.26355806, 27.36094918, 29.92569448, 24.20641416, 29.52395059,\n",
+       "        28.03303595, 27.77450769, 29.93343822, 26.66697334, 26.83474853,\n",
+       "        33.37150503, 30.12011178, 29.97201825, 26.57843995, 29.87970269,\n",
+       "        31.99623582, 31.97687612, 26.92012936, 27.65231728, 29.3620336 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.26 27.06 30.07 ... 23.6 29.34</div><input id='attrs-ea26dbf2-cafe-47ec-9e8f-537a57a5b8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea26dbf2-cafe-47ec-9e8f-537a57a5b8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b065d8-ebc4-4a53-b0ee-28b228332800' class='xr-var-data-in' type='checkbox'><label for='data-01b065d8-ebc4-4a53-b0ee-28b228332800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_09: fa.TAS_MAX_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[25.26334592, 27.05687938, 30.07035057, 23.75177961, 27.23758261,\n",
+       "        22.8107774 , 24.29402437, 25.45705246, 27.35301185, 25.39005673,\n",
+       "        23.6744446 , 25.8353973 , 26.82559265, 22.32231191, 24.41230352,\n",
+       "        27.16377256, 23.73894301, 24.9241144 , 31.16370321, 25.04506065,\n",
+       "        28.45385643, 31.58852846, 27.07255084, 24.33110023, 28.69326885,\n",
+       "        23.89180609, 29.58471441, 29.66486755, 24.04060486, 31.18047607],\n",
+       "       [25.27684937, 27.06914911, 30.07543815, 23.80141125, 27.22537106,\n",
+       "        22.77449977, 24.28399329, 25.45368254, 27.36484323, 25.39440316,\n",
+       "        23.67718376, 25.85667132, 26.84348551, 22.37227545, 24.41102615,\n",
+       "        27.17697053, 23.71876056, 24.93549883, 31.15934487, 25.07230623,\n",
+       "        28.47071589, 31.54860191, 27.09089394, 24.36014811, 28.71029031,\n",
+       "        23.9219343 , 29.61353089, 29.71428101, 24.02241514, 31.20625519],\n",
+       "       [23.31622243, 27.1674751 , 28.43767582, 24.17405481, 25.96026678,\n",
+       "        22.68840729, 24.8310661 , 24.45197827, 25.17544503, 25.06783143,\n",
+       "        24.8474844 , 23.02929778, 24.21105206, 24.66219382, 21.74431112,\n",
+       "        26.84298263, 23.33105941, 24.88713139, 31.63901491, 24.78235018,\n",
+       "        27.17322498, 30.67407193, 26.61334625, 26.63631531, 28.66473196,\n",
+       "        22.74464785, 28.26882757, 26.77054608, 23.60499643, 29.33840064]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.22 18.71 23.7 ... 14.32 17.03</div><input id='attrs-3fd32809-a71c-4071-bb10-3b666b478bdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd32809-a71c-4071-bb10-3b666b478bdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56d15952-1750-4d6c-ab4f-3fad98a3d0be' class='xr-var-data-in' type='checkbox'><label for='data-56d15952-1750-4d6c-ab4f-3fad98a3d0be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_10: fa.TAS_MAX_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[14.21522858, 18.71072218, 23.69887328, 20.81871398, 18.90669892,\n",
+       "        18.9271361 , 19.94816343, 22.04048694, 19.43787176, 22.28717467,\n",
+       "        23.40753457, 18.16148173, 18.44713244, 21.2148752 , 21.8617981 ,\n",
+       "        19.11045932, 20.86434097, 20.39946468, 18.69863101, 21.13150452,\n",
+       "        21.76957439, 23.97855868, 21.45896481, 22.05750783, 24.45332557,\n",
+       "        19.85304008, 22.8255687 , 20.99833958, 15.51581298, 17.81005604],\n",
+       "       [14.23614095, 18.73818792, 23.70984449, 20.83187957, 18.91216868,\n",
+       "        18.91920486, 19.97568273, 22.06416756, 19.51036022, 22.31422388,\n",
+       "        23.51396147, 18.18981293, 18.47579553, 21.2380236 , 21.87099609,\n",
+       "        19.12549863, 20.87360905, 20.43871421, 18.73563856, 21.1417174 ,\n",
+       "        21.81562522, 23.99102411, 21.48171586, 22.07891209, 24.47015216,\n",
+       "        19.83641531, 22.85279576, 21.03604862, 15.55628433, 17.80116019],\n",
+       "       [14.61619529, 17.2986247 , 22.16798635, 19.40782524, 17.04152385,\n",
+       "        16.40079577, 17.72846859, 19.30285517, 20.21900332, 19.21246204,\n",
+       "        21.8368917 , 18.97941906, 14.4676872 , 20.10966932, 22.86592182,\n",
+       "        21.54504378, 24.08130134, 16.81095732, 18.9991644 , 21.13580449,\n",
+       "        19.80242205, 22.90478307, 21.89797803, 22.3317542 , 25.89768074,\n",
+       "        18.43346109, 22.90803447, 21.95260714, 14.31996565, 17.0308429 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.87 17.99 12.98 ... 12.77 10.2</div><input id='attrs-e35aeabc-5020-4689-95a7-938461ce8a47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e35aeabc-5020-4689-95a7-938461ce8a47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9048b8c-daf7-4424-9682-fd81e294e4f2' class='xr-var-data-in' type='checkbox'><label for='data-e9048b8c-daf7-4424-9682-fd81e294e4f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:50] tas_max_11: fa.TAS_MAX_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.86798871, 17.98689099, 12.9784809 , 12.39670398, 15.82966021,\n",
+       "        12.26194062, 14.59106206, 18.04080973, 17.6654675 , 15.68103446,\n",
+       "        15.80102072, 12.78218631, 12.08320133, 15.61558057, 14.06306938,\n",
+       "        18.72976064, 17.22767828, 10.92935027, 18.57786503, 11.72328105,\n",
+       "        16.36810215, 16.92596388, 15.59591226, 12.45248948, 16.74528957,\n",
+       "        17.62491134, 12.83015589, 15.90801443, 14.45623441, 10.46887833],\n",
+       "       [10.8757429 , 18.05123932, 13.08662352, 12.40611287, 15.87020229,\n",
+       "        12.27761464, 14.63143553, 18.10648566, 17.70994743, 15.74535237,\n",
+       "        15.85830987, 12.81175251, 12.15557411, 15.65043365, 14.12704083,\n",
+       "        18.75968654, 17.29147187, 10.94785338, 18.58779894, 11.75887174,\n",
+       "        16.44310632, 16.96068912, 15.62043981, 12.51833202, 16.7746892 ,\n",
+       "        17.66230962, 12.84752777, 15.92718333, 14.52322669, 10.55562463],\n",
+       "       [12.79814077, 13.00138578, 11.96260773, 13.30322513, 13.72495045,\n",
+       "         9.94010312, 12.13503039, 11.8629249 ,  7.75307518, 14.04030046,\n",
+       "        11.00153309,  9.90863331,  6.90436888, 13.04713684,  9.07567283,\n",
+       "        12.01019699, 11.58613623, 11.66938966, 15.4715553 , 14.793425  ,\n",
+       "        12.63670252, 11.39179375, 12.04596577,  8.99766284, 13.85109253,\n",
+       "        11.78235302,  9.48972894, 17.73166998, 12.76505001, 10.20001641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.383 13.13 4.912 ... 4.834 6.707</div><input id='attrs-9f268b10-16fc-4da6-823f-c88232084156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f268b10-16fc-4da6-823f-c88232084156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3f0f9e9-fb6b-46e3-9dd7-4f7211102e93' class='xr-var-data-in' type='checkbox'><label for='data-a3f0f9e9-fb6b-46e3-9dd7-4f7211102e93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:50] tas_max_12: fa.TAS_MAX_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.38271191, 13.13448333,  4.91219235,  7.68183075,  6.54147667,\n",
+       "         3.28572371,  4.88942874,  6.27181673,  3.93740904,  6.16202592,\n",
+       "         8.44480589,  6.30659249,  5.14781433,  7.26483431,  1.7370562 ,\n",
+       "         9.64866386,  2.35797816, 12.39294195, 10.57464023, 11.47649713,\n",
+       "        12.47851361,  4.83473215,  7.08702087, 10.97439091,  3.58260414,\n",
+       "         7.32721918,  8.4814405 ,  8.83115662,  5.36762827,  7.78541986],\n",
+       "       [ 4.46127376, 13.17231467,  4.92873977,  7.72100687,  6.65238686,\n",
+       "         3.3039907 ,  4.96900224,  6.29090628,  3.98108897,  6.35419013,\n",
+       "         8.47780286,  6.32966815,  5.17392336,  7.26459563,  1.72744366,\n",
+       "         9.69325748,  2.35369518, 12.43070917, 10.61234066, 11.55495519,\n",
+       "        12.54211945,  4.95971243,  7.1396932 , 11.01516044,  3.56215591,\n",
+       "         7.35059633,  8.54608436,  8.86871624,  5.40213796,  7.81652659],\n",
+       "       [ 2.82747726, 12.50324542,  1.89003518,  9.1106422 ,  5.50329303,\n",
+       "         0.90656062,  4.29217972,  5.82151691, -1.0780956 ,  6.11056942,\n",
+       "         6.81774012,  6.04372502,  5.48015272,  5.97828411,  1.4210189 ,\n",
+       "         6.47760415,  4.10828356,  7.71724402,  7.29891624,  2.26967208,\n",
+       "        12.96145447,  3.32140362,  4.67729799,  6.92882636,  1.15374292,\n",
+       "         4.49616205,  3.52927418,  9.90759802,  4.83350128,  6.7067143 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 30.86 ... 26.23 32.24</div><input id='attrs-2323f239-3f99-4db7-9035-fffce87d7eee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2323f239-3f99-4db7-9035-fffce87d7eee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eec06a8e-d403-41cf-a259-ec72a712bdf7' class='xr-var-data-in' type='checkbox'><label for='data-eec06a8e-d403-41cf-a259-ec72a712bdf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:54] tas_max_spring: fa.TAS_MAX_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 30.85799541, 29.25685908, 25.65742324,\n",
+       "        28.02222953, 28.53325718, 33.48695397, 28.77736928, 27.96696261,\n",
+       "        29.62038136, 29.45845522, 28.27114106, 32.07804509, 34.08436674,\n",
+       "        27.54956721, 31.38521307, 28.57039661, 30.21050022, 26.50799883,\n",
+       "        32.41092857, 25.70207489, 26.46354055, 28.03907184, 29.28987935,\n",
+       "        30.19420228, 30.12521476, 29.65699452, 26.65315594, 31.7088411 ],\n",
+       "       [29.3232176 , 28.32163051, 30.85893027, 29.26108121, 25.65826026,\n",
+       "        28.08036824, 28.5567923 , 33.47419035, 28.76091707, 27.95275766,\n",
+       "        29.58633315, 29.46571538, 28.25571497, 32.06233932, 34.11716534,\n",
+       "        27.5321431 , 31.37992645, 28.57913775, 30.1961637 , 26.51920608,\n",
+       "        32.40356792, 25.70627389, 26.44962124, 28.03661036, 29.28796266,\n",
+       "        30.20078541, 30.12753872, 29.64117769, 26.65110504, 31.66957835],\n",
+       "       [26.51960346, 26.13891732, 28.75764082, 26.98811584, 23.85722848,\n",
+       "        28.64437858, 27.90598922, 32.31060607, 26.54612167, 27.59748911,\n",
+       "        28.02508909, 28.50182986, 28.05709184, 31.02018307, 34.82043507,\n",
+       "        25.46558844, 29.8228807 , 31.58755951, 30.4277248 , 26.55128657,\n",
+       "        31.03007011, 24.60228629, 25.26348659, 27.10716262, 30.57577324,\n",
+       "        30.41104706, 29.46598835, 25.44460638, 26.23343072, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 30.29</div><input id='attrs-fcdaac30-fbee-4c04-aa19-5f7b772d38c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcdaac30-fbee-4c04-aa19-5f7b772d38c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-978eab6e-5d53-42c8-9be5-8dfcbc01387b' class='xr-var-data-in' type='checkbox'><label for='data-978eab6e-5d53-42c8-9be5-8dfcbc01387b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:56] tas_max_summer_fall: fa.TAS_MAX_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
+       "        30.53145267, 31.93422015, 33.39342194, 31.71860745, 30.43126315,\n",
+       "        33.16331222, 28.37168961, 32.45545356, 30.44989024, 32.1329486 ,\n",
+       "        29.93451   , 30.3023172 , 30.04351186, 31.29059367, 27.78569721,\n",
+       "        32.19596358, 32.60162181, 32.66015494, 29.75060225, 31.37836526,\n",
+       "        31.0491655 , 31.10080751, 30.00300746, 30.2338651 , 32.42969783],\n",
+       "       [31.24724762, 32.09330985, 33.10581228, 30.19541016, 31.16195562,\n",
+       "        30.54419049, 31.93373816, 33.42221195, 31.71416189, 30.38747611,\n",
+       "        33.14753505, 28.37082745, 32.46203007, 30.4658307 , 32.15847185,\n",
+       "        29.93770536, 30.28266697, 30.05423316, 31.29507563, 27.80230808,\n",
+       "        32.20339165, 32.60950278, 32.63969415, 29.76107429, 31.37597518,\n",
+       "        31.02933808, 31.1013523 , 30.01969436, 30.24413682, 32.42311336],\n",
+       "       [31.41654478, 30.21777965, 30.27622391, 27.73922751, 27.46176547,\n",
+       "        28.67341768, 30.88959239, 34.34709354, 31.00392566, 30.67871838,\n",
+       "        32.11178281, 27.36094918, 31.23530002, 28.88614308, 30.88460136,\n",
+       "        28.03303595, 30.18193024, 31.76906317, 31.63901491, 26.83474853,\n",
+       "        33.37150503, 31.16902562, 31.21388901, 27.63115102, 34.46092142,\n",
+       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 32.24</div><input id='attrs-fbd334a8-2c67-4ab2-a753-3123a0ec9e4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbd334a8-2c67-4ab2-a753-3123a0ec9e4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-083a7463-9f4a-4adf-9152-cd5fd63618c8' class='xr-var-data-in' type='checkbox'><label for='data-083a7463-9f4a-4adf-9152-cd5fd63618c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_max_year: fa.TAS_MAX_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
+       "        30.53145267, 31.93422015, 33.48695397, 31.71860745, 30.43126315,\n",
+       "        33.16331222, 29.45845522, 32.45545356, 32.07804509, 34.08436674,\n",
+       "        29.93451   , 31.38521307, 30.04351186, 31.29059367, 27.78569721,\n",
+       "        32.41092857, 32.60162181, 32.66015494, 29.75060225, 31.37836526,\n",
+       "        31.0491655 , 31.10080751, 30.00300746, 30.2338651 , 32.42969783],\n",
+       "       [31.24724762, 32.09330985, 33.10581228, 30.19541016, 31.16195562,\n",
+       "        30.54419049, 31.93373816, 33.47419035, 31.71416189, 30.38747611,\n",
+       "        33.14753505, 29.46571538, 32.46203007, 32.06233932, 34.11716534,\n",
+       "        29.93770536, 31.37992645, 30.05423316, 31.29507563, 27.80230808,\n",
+       "        32.40356792, 32.60950278, 32.63969415, 29.76107429, 31.37597518,\n",
+       "        31.02933808, 31.1013523 , 30.01969436, 30.24413682, 32.42311336],\n",
+       "       [31.41654478, 30.21777965, 30.27622391, 27.73922751, 27.46176547,\n",
+       "        28.67341768, 30.88959239, 34.34709354, 31.00392566, 30.67871838,\n",
+       "        32.11178281, 28.50182986, 31.23530002, 31.02018307, 34.82043507,\n",
+       "        28.03303595, 30.18193024, 31.76906317, 31.63901491, 26.83474853,\n",
+       "        33.37150503, 31.16902562, 31.21388901, 27.63115102, 34.46092142,\n",
+       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.86 -16.34 ... -16.31 -10.03</div><input id='attrs-f97e51a8-8281-411a-bb47-1cc72784da84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f97e51a8-8281-411a-bb47-1cc72784da84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-419553c9-0a0c-4bdd-acb7-763a1d7bc106' class='xr-var-data-in' type='checkbox'><label for='data-419553c9-0a0c-4bdd-acb7-763a1d7bc106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_mean_01: fa.TAS_MEAN_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-15.86497321, -16.33969214,  -9.5379092 , -12.50628881,\n",
+       "        -14.69625288, -10.93495449, -11.05264325,  -9.49931318,\n",
+       "         -8.85270443,  -5.1113085 , -11.4012696 , -12.43469499,\n",
+       "        -11.25345114, -17.60201008,  -7.29116191, -11.9134013 ,\n",
+       "        -10.98860161,  -8.57331874, -11.03580314, -11.24238475,\n",
+       "        -10.55424157,  -6.02019414, -14.09076725, -16.17110177,\n",
+       "        -13.05489169,  -5.98896853,  -8.99857926,  -7.81798324,\n",
+       "        -15.01662145,  -7.12324418],\n",
+       "       [-15.85204089, -16.31593269,  -9.51231017, -12.47395865,\n",
+       "        -14.67662927, -10.90640917, -11.04050004,  -9.46673454,\n",
+       "         -8.81966244,  -5.07693739, -11.36949852, -12.40671977,\n",
+       "        -11.20764284, -17.56982514,  -7.26792561, -11.88660091,\n",
+       "        -10.96075682,  -8.54645456, -11.00796165, -11.21431467,\n",
+       "        -10.53032237,  -5.98221123, -14.06825017, -16.15107415,\n",
+       "        -13.01768498,  -5.95911174,  -8.95834323,  -7.77952386,\n",
+       "        -14.99091126,  -7.11272517],\n",
+       "       [-16.32719499, -18.37919247, -11.09643096, -15.07422742,\n",
+       "        -15.37569786, -13.40593297, -10.05539367, -11.46534881,\n",
+       "         -9.97347968,  -6.78169071, -12.74366539, -12.88429548,\n",
+       "        -11.73572509, -21.05873972,  -8.70020484, -14.20248798,\n",
+       "        -13.85377924,  -9.4898169 , -12.67474909, -13.54329138,\n",
+       "        -10.51213507,  -7.49308621, -15.51268248, -18.23541792,\n",
+       "        -14.82890051,  -7.07876572, -10.22231221,  -9.06304163,\n",
+       "        -16.31290385, -10.03479048]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.475 -10.31 ... -9.99 -8.503</div><input id='attrs-cefd080a-1407-4125-8845-7ff088ee71fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cefd080a-1407-4125-8845-7ff088ee71fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-977a9894-6197-4018-b081-ce3086e998a4' class='xr-var-data-in' type='checkbox'><label for='data-977a9894-6197-4018-b081-ce3086e998a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_mean_02: fa.TAS_MEAN_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -2.47509696, -10.30819772,  -7.43584723,  -4.16102895,\n",
+       "         -7.24039875, -10.35927009, -11.65229745,  -8.51372551,\n",
+       "        -10.30816849,  -8.64124854,  -6.94455197,  -9.64027571,\n",
+       "        -14.51886715, -12.28660336, -10.91155566,  -9.50406365,\n",
+       "         -8.08340566,  -4.6653674 ,  -6.68371277,  -7.79388107,\n",
+       "         -8.97387106,  -6.30222918, -11.94089964,  -8.07525905,\n",
+       "         -7.66764676,  -8.77370237, -12.17486621,  -8.21732003,\n",
+       "         -7.62501837,  -5.38291391],\n",
+       "       [ -2.43698638, -10.28344197,  -7.42050744,  -4.14438962,\n",
+       "         -7.22609138, -10.34141862, -11.64427232,  -8.49800543,\n",
+       "        -10.28707871,  -8.61306009,  -6.92650358,  -9.61941284,\n",
+       "        -14.50711771, -12.25807179, -10.893613  ,  -9.48607898,\n",
+       "         -8.04891576,  -4.65097791,  -6.66088192,  -7.76908265,\n",
+       "         -8.94777448,  -6.26384159, -11.91324172,  -8.06019374,\n",
+       "         -7.66248658,  -8.75584106, -12.15530519,  -8.19553529,\n",
+       "         -7.60154316,  -5.38923762],\n",
+       "       [ -5.55894169, -12.27180546,  -9.02540228,  -5.96311295,\n",
+       "        -10.04604977, -12.01054453, -11.77201874, -12.31388397,\n",
+       "        -13.89653857,  -9.86108154,  -8.43000824, -11.62352094,\n",
+       "        -15.60865836, -14.35288701, -14.01014843, -12.6555352 ,\n",
+       "        -10.26513697,  -5.40606857,  -7.84709827,  -8.56021337,\n",
+       "        -10.67889234,  -8.6374    , -14.5015305 ,  -9.44094633,\n",
+       "         -8.7514507 , -10.80998145, -14.62965932, -11.11796461,\n",
+       "         -9.99043049,  -8.50322186]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.635 -3.247 ... -5.003 -0.9097</div><input id='attrs-1f292eb3-1c81-4f9a-b9d9-fd4fe8be8a6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f292eb3-1c81-4f9a-b9d9-fd4fe8be8a6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f84e37d-8e34-480e-91f9-2262dfbad985' class='xr-var-data-in' type='checkbox'><label for='data-9f84e37d-8e34-480e-91f9-2262dfbad985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_mean_03: fa.TAS_MEAN_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-1.63544624, -3.24685069, -1.57580582, -6.67214365, -3.61207681,\n",
+       "        -2.55116747, -1.27056596, -3.75577746, -5.44447142, -2.8805535 ,\n",
+       "        -1.64632594, -5.58901258, -4.51408736, -2.81521978, -1.24918128,\n",
+       "        -3.76949835, -5.00317966, -1.89197577, -2.25587612,  0.79149641,\n",
+       "        -3.81389547, -2.91328866, -4.41978547, -1.22202072, -3.95391863,\n",
+       "        -2.18573737, -4.31405856, -4.77309835, -2.79936403,  0.62626561],\n",
+       "       [-1.61324985, -3.22766515, -1.5607546 , -6.66592181, -3.59181998,\n",
+       "        -2.53110823, -1.25526962, -3.73623218, -5.42400569, -2.86338379,\n",
+       "        -1.62166298, -5.57708542, -4.50525177, -2.80520317, -1.21949421,\n",
+       "        -3.73980562, -4.98832801, -1.87511659, -2.25200263,  0.81583901,\n",
+       "        -3.80919102, -2.87931863, -4.40191765, -1.18263204, -3.95048562,\n",
+       "        -2.18137094, -4.2963021 , -4.75396036, -2.77651311,  0.64305291],\n",
+       "       [-4.02614152, -5.58437896, -3.95650702, -9.01417751, -5.66991648,\n",
+       "        -4.57358407, -2.72320315, -6.38265882, -7.78580379, -4.7447357 ,\n",
+       "        -4.69894272, -8.11205475, -5.29567229, -4.92897965, -2.69080046,\n",
+       "        -7.32382738, -7.14071764, -3.50634867, -5.11284617, -1.08615268,\n",
+       "        -5.40585887, -6.38115556, -6.17811086, -3.27355144, -6.71115859,\n",
+       "        -4.26642457, -4.97868172, -7.20052555, -5.0029408 , -0.90970965]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.281 2.67 4.771 ... 2.527 6.691</div><input id='attrs-a2ff12a3-1da7-45df-8d1c-65df7e7e35f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2ff12a3-1da7-45df-8d1c-65df7e7e35f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ec12c1c-ea22-46e6-b637-8a6a5c401653' class='xr-var-data-in' type='checkbox'><label for='data-4ec12c1c-ea22-46e6-b637-8a6a5c401653' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_04: fa.TAS_MEAN_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 6.28109057,  2.66984247,  4.77084856,  5.81513123,  3.70726319,\n",
+       "         7.88694114,  8.61879036,  5.8590799 ,  3.92507141,  5.71606466,\n",
+       "         6.68971009,  4.14454043,  5.24044718,  4.16473368,  3.17204835,\n",
+       "         4.58850744,  2.42582845,  6.3962715 ,  4.50863309,  3.72537499,\n",
+       "         3.66472829,  5.5816208 ,  3.18501721,  5.03290392,  5.64818533,\n",
+       "         6.59686488,  4.23907989,  6.02831622,  6.77309849,  8.00734885],\n",
+       "       [ 6.29511298,  2.70547092,  4.79010595,  5.84095006,  3.74826659,\n",
+       "         7.91213493,  8.62473902,  5.88420185,  3.94925588,  5.75525645,\n",
+       "         6.73536757,  4.18239831,  5.24867346,  4.2006522 ,  3.18438054,\n",
+       "         4.60913386,  2.45777832,  6.42122151,  4.53741596,  3.74116272,\n",
+       "         3.68511133,  5.60182909,  3.21085545,  5.04813521,  5.66970041,\n",
+       "         6.62949125,  4.25314231,  6.069413  ,  6.79707876,  8.0170113 ],\n",
+       "       [ 3.62798642, -0.33003118,  1.98549975,  4.94200638,  1.90477081,\n",
+       "         5.4232119 ,  6.47590245,  3.58361016,  0.59294682,  4.04374346,\n",
+       "         5.0274315 ,  0.95226039,  3.22254992,  2.25514841,  0.67340561,\n",
+       "         0.21162372,  0.86564597,  5.31755017,  3.65541475,  2.46269804,\n",
+       "         3.43081836,  2.52672748,  0.21846992,  2.01802392,  3.10713756,\n",
+       "         4.05594874,  3.25074258,  4.61734965,  2.52736919,  6.69078893]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.16 14.13 11.11 ... 9.281 13.1</div><input id='attrs-c384a16c-536a-4f76-9112-9eae6180dcb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c384a16c-536a-4f76-9112-9eae6180dcb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18b6bb7-5066-4769-b390-90aab016d436' class='xr-var-data-in' type='checkbox'><label for='data-e18b6bb7-5066-4769-b390-90aab016d436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_05: fa.TAS_MEAN_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.15798981, 14.12754246, 11.11322796, 11.24523919, 12.38268527,\n",
+       "        13.47558656, 12.91071042, 14.34820064, 14.29280239, 11.66833555,\n",
+       "        14.68055209, 13.06170429, 12.93540742, 11.7397972 , 12.47959729,\n",
+       "        11.67883228,  9.47060602, 16.6644246 , 15.93482494, 12.06595739,\n",
+       "        14.66671369, 10.66038296, 11.96409206, 12.92204562, 10.47150782,\n",
+       "        13.6839104 , 12.68451552, 11.83570534, 12.06039552, 15.1006321 ],\n",
+       "       [13.16973744, 14.1346568 , 11.13017231, 11.25152928, 12.39462974,\n",
+       "        13.49167982, 12.92189564, 14.3525558 , 14.29785562, 11.66908982,\n",
+       "        14.68760562, 13.06591866, 12.93915945, 11.74650875, 12.48779961,\n",
+       "        11.6822183 ,  9.47802694, 16.66956391, 15.93778305, 12.08296005,\n",
+       "        14.67743648, 10.66720033, 11.97007353, 12.94039354, 10.47171217,\n",
+       "        13.69385444, 12.68304905, 11.83939265, 12.06952066, 15.1028719 ],\n",
+       "       [ 9.32146203, 13.20486787,  7.22851098,  7.85127801, 10.2710468 ,\n",
+       "        11.75205154, 11.18025832, 12.07036829, 10.99889154,  9.52009259,\n",
+       "        13.20308846, 10.20791913, 10.2586133 ,  9.16520132,  9.83852381,\n",
+       "         8.80686383,  6.56018839, 15.60386294, 13.75971234, 11.28393822,\n",
+       "        12.08222762,  7.68490045, 10.22324944,  9.56554799,  9.68327798,\n",
+       "        12.19552089, 11.45497604,  8.95637094,  9.28085729, 13.09800446]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.27 17.17 19.02 ... 15.51 15.28</div><input id='attrs-9d67b1a6-5993-46db-a6d7-40466c2c2134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d67b1a6-5993-46db-a6d7-40466c2c2134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c26739f-c817-48ea-bea1-e197c92f315c' class='xr-var-data-in' type='checkbox'><label for='data-6c26739f-c817-48ea-bea1-e197c92f315c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_06: fa.TAS_MEAN_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.26507679, 17.17482526, 19.0160964 , 18.00491928, 16.37981808,\n",
+       "        15.60605555, 18.71867416, 17.76130347, 18.52897791, 17.87974495,\n",
+       "        19.34120491, 17.58224456, 17.55651857, 19.15910273, 20.21092894,\n",
+       "        18.38769224, 19.38101058, 18.26093618, 20.42136401, 16.5314388 ,\n",
+       "        19.48926951, 16.77103902, 18.41433778, 16.67186829, 20.27921135,\n",
+       "        19.05670585, 19.08395387, 18.44444853, 17.12054581, 17.90871917],\n",
+       "       [18.27285436, 17.17794567, 19.02218762, 18.01294608, 16.3835027 ,\n",
+       "        15.61522533, 18.71690424, 17.7603421 , 18.53709793, 17.88517077,\n",
+       "        19.33312913, 17.58410017, 17.55451105, 19.163925  , 20.21538821,\n",
+       "        18.38653562, 19.38460282, 18.26155786, 20.4274404 , 16.54060553,\n",
+       "        19.4947501 , 16.78252499, 18.41309458, 16.67807789, 20.28945648,\n",
+       "        19.05675075, 19.08432029, 18.4598132 , 17.11826482, 17.91478425],\n",
+       "       [15.32377077, 14.26184067, 16.42075965, 15.49602532, 13.58249149,\n",
+       "        13.53718718, 16.95039473, 15.21006239, 15.58662005, 15.78916625,\n",
+       "        17.50706547, 14.15727312, 14.72275277, 16.08168981, 18.45292009,\n",
+       "        16.61313548, 17.61860434, 16.31435919, 18.03357467, 14.35459826,\n",
+       "        17.0149137 , 15.03605577, 16.08504075, 14.41624896, 18.96577871,\n",
+       "        16.68911407, 16.9279979 , 16.06885601, 15.51264093, 15.27824661]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.63 20.64 21.2 ... 16.42 20.16</div><input id='attrs-02445771-a26a-494c-919c-91deea437b1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02445771-a26a-494c-919c-91deea437b1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eee2c2a1-b326-4216-8ceb-87b1d187d388' class='xr-var-data-in' type='checkbox'><label for='data-eee2c2a1-b326-4216-8ceb-87b1d187d388' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_07: fa.TAS_MEAN_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[20.63237781, 20.64445013, 21.19939663, 20.48925845, 20.6386401 ,\n",
+       "        19.09271198, 20.98279724, 22.0321663 , 21.2249513 , 20.64175005,\n",
+       "        21.0802319 , 18.02536485, 21.14713932, 21.23441088, 21.89557947,\n",
+       "        19.52192175, 20.36199651, 20.28828065, 21.80756033, 19.10713126,\n",
+       "        19.11810614, 20.8847859 , 20.38628846, 20.41901303, 21.69638679,\n",
+       "        22.15902647, 19.64342014, 20.64978075, 18.65738623, 22.39617926],\n",
+       "       [20.64244314, 20.64429455, 21.19860832, 20.48963698, 20.64297316,\n",
+       "        19.09924158, 20.98558408, 22.03946192, 21.2222885 , 20.64155526,\n",
+       "        21.07982792, 18.03343554, 21.14784963, 21.24369824, 21.89590508,\n",
+       "        19.52726522, 20.35669739, 20.29155184, 21.81173457, 19.10827544,\n",
+       "        19.12051348, 20.88594336, 20.39749032, 20.42421524, 21.700114  ,\n",
+       "        22.16358236, 19.64325706, 20.65797182, 18.66333934, 22.3994381 ],\n",
+       "       [19.39160528, 18.59335676, 19.13988018, 17.76419756, 17.64240844,\n",
+       "        18.06099397, 19.62983866, 20.81623575, 19.6038941 , 18.54536232,\n",
+       "        19.26759522, 15.36116032, 19.36589918, 18.55584662, 18.7720773 ,\n",
+       "        16.88272442, 18.81599298, 18.48894478, 19.76529777, 16.9515714 ,\n",
+       "        17.9009592 , 19.46480189, 18.25731191, 18.41356263, 20.64177334,\n",
+       "        19.84816803, 17.84146715, 17.96546836, 16.42430602, 20.15591795]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.9 17.18 20.18 ... 17.38 18.67</div><input id='attrs-4d2a9965-bbe9-44a3-b3e3-aeff552e4266' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d2a9965-bbe9-44a3-b3e3-aeff552e4266' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f036fad-6c40-4f3f-a7c6-2384d41a9931' class='xr-var-data-in' type='checkbox'><label for='data-8f036fad-6c40-4f3f-a7c6-2384d41a9931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_08: fa.TAS_MEAN_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.90264285, 17.18295131, 20.17820786, 20.63965515, 19.2324178 ,\n",
+       "        17.98852988, 18.46625813, 20.52358761, 19.64000974, 20.03763804,\n",
+       "        20.35198589, 18.55748576, 20.5487149 , 18.21967495, 20.39550824,\n",
+       "        19.56920167, 18.51551095, 20.11472139, 19.2621412 , 19.0012329 ,\n",
+       "        21.31705545, 20.75675397, 20.60757935, 19.07419024, 21.0329947 ,\n",
+       "        18.58701342, 19.04223069, 18.85825009, 20.04924252, 20.04527683],\n",
+       "       [18.90274384, 17.1911275 , 20.17766814, 20.64302703, 19.23669252,\n",
+       "        17.99339255, 18.47208395, 20.53326467, 19.63165597, 20.03502514,\n",
+       "        20.35333091, 18.56194871, 20.55096834, 18.22429425, 20.397244  ,\n",
+       "        19.56996731, 18.5137647 , 20.11226328, 19.26548325, 19.00442325,\n",
+       "        21.32935581, 20.7574008 , 20.61574623, 19.0765645 , 21.03866968,\n",
+       "        18.59507532, 19.05436415, 18.86747031, 20.05634757, 20.04739971],\n",
+       "       [18.15007783, 15.03589456, 19.15275524, 18.20376284, 16.79243603,\n",
+       "        15.95263618, 16.80301615, 18.38472177, 17.13557816, 18.10749418,\n",
+       "        18.31791621, 15.37384384, 19.07219439, 15.95837958, 18.99366362,\n",
+       "        17.96614258, 16.14428434, 18.40315586, 17.05361115, 16.9784695 ,\n",
+       "        19.73867992, 18.94858976, 18.85744473, 16.09876938, 19.15360731,\n",
+       "        17.20450945, 18.23574136, 17.10623724, 17.3765655 , 18.67347748]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.0 14.88 16.88 ... 13.66 12.74</div><input id='attrs-16c57c82-58a8-454c-a461-10b5e874e09e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16c57c82-58a8-454c-a461-10b5e874e09e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c09dc0-c0a2-40fa-ab82-a1a2b6ca1742' class='xr-var-data-in' type='checkbox'><label for='data-d1c09dc0-c0a2-40fa-ab82-a1a2b6ca1742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_09: fa.TAS_MEAN_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.9985401 , 14.88084599, 16.8803223 , 13.36136243, 15.76881612,\n",
+       "        12.93856627, 14.40450378, 14.14041918, 15.50094399, 14.27565277,\n",
+       "        13.43692367, 14.99551581, 14.19524746, 14.19630287, 13.25643215,\n",
+       "        15.54744704, 14.41026491, 15.41359308, 17.30026076, 13.85983273,\n",
+       "        16.11133701, 17.42295076, 16.87022709, 15.6987979 , 16.84472827,\n",
+       "        14.57788278, 16.36655318, 15.72453788, 14.73610234, 15.89847538],\n",
+       "       [14.00327093, 14.89087154, 16.88789844, 13.36786742, 15.77699236,\n",
+       "        12.9534436 , 14.41312761, 14.15259406, 15.50755087, 14.28011075,\n",
+       "        13.44734895, 15.00827954, 14.20416615, 14.20616889, 13.26680821,\n",
+       "        15.5572168 , 14.41656774, 15.42240471, 17.3100854 , 13.87230001,\n",
+       "        16.12190201, 17.4295849 , 16.87860208, 15.70859795, 16.85516841,\n",
+       "        14.58572711, 16.381472  , 15.73891164, 14.74027142, 15.91425516],\n",
+       "       [11.66807052, 13.00525124, 14.92539347, 11.7333259 , 14.00111831,\n",
+       "        11.16952847, 13.56671088, 12.53233107, 13.40950848, 12.09311403,\n",
+       "        12.03762439, 12.52501118, 11.51632542, 13.14878653, 11.40945354,\n",
+       "        14.88674668, 12.7886566 , 13.8129469 , 15.32127038, 12.33790751,\n",
+       "        13.37515171, 16.17240412, 14.92501038, 15.76031182, 15.872611  ,\n",
+       "        12.11981614, 14.95579072, 13.54880361, 13.66271616, 12.74184513]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.902 8.552 8.135 ... 4.924 6.089</div><input id='attrs-63e8e587-c8f1-40db-95cb-a25cf2cba3f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63e8e587-c8f1-40db-95cb-a25cf2cba3f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f52838df-c410-4f0e-886a-cf61d86b399b' class='xr-var-data-in' type='checkbox'><label for='data-f52838df-c410-4f0e-886a-cf61d86b399b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_10: fa.TAS_MEAN_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.90153404,  8.55247292,  8.1353644 ,  8.69653317,  8.65264187,\n",
+       "         7.25168887,  7.27060997,  6.35240971,  8.44210638,  8.44709298,\n",
+       "         9.17088292,  6.16261716,  6.14102062,  9.19086769, 10.74392511,\n",
+       "         7.60070745,  7.50901645,  8.97400156,  6.82429086,  8.08717615,\n",
+       "         9.78485923,  6.28334712,  7.38087101,  9.07040518,  9.86132362,\n",
+       "         7.81382001, 11.15023954,  7.9433349 ,  6.32887388,  8.09218151],\n",
+       "       [ 5.90837265,  8.56749611,  8.14707508,  8.70767791,  8.66545931,\n",
+       "         7.26435928,  7.28023539,  6.36386398,  8.45988658,  8.46480642,\n",
+       "         9.1968166 ,  6.17366207,  6.15914221,  9.20050535, 10.76258138,\n",
+       "         7.62169454,  7.52207903,  8.98270416,  6.8443016 ,  8.10202505,\n",
+       "         9.79638634,  6.30379606,  7.39183425,  9.07880282,  9.86969755,\n",
+       "         7.82632509, 11.16454062,  7.94981703,  6.34303904,  8.10257614],\n",
+       "       [ 3.99299592,  7.73795388,  6.40906971,  8.15522147,  7.22411627,\n",
+       "         5.58074034,  4.42975758,  4.42171567,  7.25992736,  5.97924246,\n",
+       "         7.13685215,  4.29500826,  4.39184143,  7.79137092,  8.64114928,\n",
+       "         6.70118214,  6.49658319,  7.34944895,  5.66683534,  7.31292994,\n",
+       "         7.23627501,  4.75385387,  5.80929039,  7.73998045,  8.70238769,\n",
+       "         5.51958689,  9.85030054,  5.8710073 ,  4.92371996,  6.08872951]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6841 2.839 1.418 ... 2.622 0.2626</div><input id='attrs-2f80b800-937b-4b93-a5d6-9191d891ee96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f80b800-937b-4b93-a5d6-9191d891ee96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-161c826a-eac8-4f80-9003-5a74ac5e581a' class='xr-var-data-in' type='checkbox'><label for='data-161c826a-eac8-4f80-9003-5a74ac5e581a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_11: fa.TAS_MEAN_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.68409042,  2.83931276,  1.41829688,  1.84103032, -0.24380939,\n",
+       "        -1.05762507, -0.00508057,  2.38712249, -1.06956614,  1.20698385,\n",
+       "         1.24993657,  0.34702189,  0.40961932,  3.05980446, -1.23203271,\n",
+       "        -1.23446856,  0.40731791,  2.05271268,  3.79757672,  2.13591145,\n",
+       "         3.71018689, -0.82506035,  2.2123534 ,  1.3981892 ,  2.37838246,\n",
+       "         4.08722357,  0.6789816 ,  2.13143521,  3.59184706,  1.54437908],\n",
+       "       [ 0.69372345,  2.86199599,  1.44522039,  1.85904162, -0.220477  ,\n",
+       "        -1.03736578,  0.01024357,  2.40596268, -1.04499751,  1.23995941,\n",
+       "         1.26214407,  0.36737397,  0.43457584,  3.07788816, -1.20635154,\n",
+       "        -1.22369596,  0.4155359 ,  2.06998651,  3.81415907,  2.14591697,\n",
+       "         3.73281559, -0.7992906 ,  2.22979238,  1.41793161,  2.40160114,\n",
+       "         4.10800162,  0.69078161,  2.14733612,  3.6055142 ,  1.5645255 ],\n",
+       "       [ 0.15785888,  0.78074106, -0.3924983 , -0.0255762 , -0.83039231,\n",
+       "        -2.12854598, -0.55590757,  1.13777255, -2.7422466 ,  0.357934  ,\n",
+       "         0.04485371, -1.10250474, -1.75852294,  1.95478626, -3.24454828,\n",
+       "        -2.41883879, -0.63376519,  0.72330371,  1.67868712,  0.232138  ,\n",
+       "         2.57211106, -1.60411593,  0.81913001,  0.46447894,  0.31249959,\n",
+       "         1.60513614, -0.52815806, -0.09280369,  2.62163564,  0.26259895]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.924 -3.514 ... -8.129 -7.886</div><input id='attrs-10955ae4-fa85-473e-bfb5-aaf80b6acaa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10955ae4-fa85-473e-bfb5-aaf80b6acaa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c9140ee-dfc8-4c64-bf03-8c141a1acfe1' class='xr-var-data-in' type='checkbox'><label for='data-1c9140ee-dfc8-4c64-bf03-8c141a1acfe1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_12: fa.TAS_MEAN_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -4.92431534,  -3.51411334,  -9.02355408,  -5.57863816,\n",
+       "         -9.6424834 ,  -6.62048797,  -5.74202546,  -8.4033055 ,\n",
+       "        -17.75646673,  -5.23348689,  -9.01860591,  -4.93862971,\n",
+       "         -7.29065447,  -5.4341121 ,  -8.85954331,  -2.65103358,\n",
+       "         -7.60708482,  -3.5938318 ,  -4.55418406, -10.25053827,\n",
+       "         -1.18149227,  -6.74184884,  -5.48093551,  -8.78755114,\n",
+       "         -6.8474256 ,  -2.56532862,  -7.8160892 ,  -7.80263761,\n",
+       "         -6.82793165,  -6.25867849],\n",
+       "       [ -4.91499738,  -3.47031549,  -8.99684391,  -5.54484467,\n",
+       "         -9.61991653,  -6.5954135 ,  -5.7209086 ,  -8.37166719,\n",
+       "        -17.74118764,  -5.19574779,  -8.98785   ,  -4.91134596,\n",
+       "         -7.2571242 ,  -5.415129  ,  -8.84202935,  -2.6257173 ,\n",
+       "         -7.58431852,  -3.55799801,  -4.52391933, -10.22644574,\n",
+       "         -1.16347623,  -6.71998608,  -5.45174146,  -8.74171801,\n",
+       "         -6.83560831,  -2.5383687 ,  -7.78749855,  -7.76445332,\n",
+       "         -6.81547319,  -6.24827844],\n",
+       "       [ -6.42654259,  -4.49838826, -11.50481891,  -6.51158554,\n",
+       "        -11.26167033,  -6.42437571,  -5.31116148,  -9.54434099,\n",
+       "        -18.61715473,  -6.93808534,  -8.31290673,  -6.27597073,\n",
+       "         -8.39494589,  -4.8960796 , -11.13819709,  -4.78692399,\n",
+       "         -7.20504368,  -4.51849179,  -6.37388693, -12.29216791,\n",
+       "         -2.88074768,  -6.83984722,  -6.46736281, -10.27831361,\n",
+       "         -7.86397296,  -3.02532917,  -8.54822597, -10.15492012,\n",
+       "         -8.12878371,  -7.88580852]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.974 4.407 5.195 ... 2.212 5.842</div><input id='attrs-281a6883-50f8-45a2-99d9-9cb095df14ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-281a6883-50f8-45a2-99d9-9cb095df14ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28aa03dd-2db7-4edf-9f06-0daf4fadedea' class='xr-var-data-in' type='checkbox'><label for='data-28aa03dd-2db7-4edf-9f06-0daf4fadedea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:00] tas_mean_spring: fa.TAS_MEAN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[6.97447018, 4.40662307, 5.19465239, 4.95908236, 4.76853682,\n",
+       "        5.44187127, 5.74485936, 5.53037528, 4.14562519, 4.70949719,\n",
+       "        6.08216761, 4.09982601, 3.7708809 , 4.5016755 , 4.96081247,\n",
+       "        4.68127346, 3.26788342, 6.97766316, 6.23659265, 5.28499071,\n",
+       "        4.78429627, 4.68888112, 2.90861651, 5.10850932, 4.40644238,\n",
+       "        5.59547655, 4.17823318, 4.39019983, 5.27226905, 7.88764341],\n",
+       "       [6.9934862 , 4.42367266, 5.20990429, 4.97181384, 4.78904046,\n",
+       "        5.46069713, 5.75278225, 5.54325455, 4.16160469, 4.72722837,\n",
+       "        6.10217491, 4.11652379, 3.77711095, 4.51724068, 4.97744855,\n",
+       "        4.69515358, 3.28633953, 6.99041704, 6.2492447 , 5.30490295,\n",
+       "        4.79714046, 4.70988516, 2.92467543, 5.1295985 , 4.41534899,\n",
+       "        5.60857509, 4.18727496, 4.41022762, 5.28737436, 7.89294249],\n",
+       "       [4.14908561, 2.42131037, 2.60423   , 2.76461305, 2.58781494,\n",
+       "        3.21788589, 4.05764337, 2.93521239, 1.19618223, 2.92630035,\n",
+       "        4.10872339, 1.51373221, 1.77391803, 2.25966328, 2.59219181,\n",
+       "        1.27399763, 1.07894935, 5.52919155, 4.18564699, 4.02234864,\n",
+       "        3.13918321, 1.77188053, 0.82591003, 2.7472056 , 2.60747921,\n",
+       "        3.53795665, 2.96692174, 1.90126715, 2.21151073, 5.84215155]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.59 14.04 15.09 ... 12.32 12.94</div><input id='attrs-8f8c65b0-ca41-4655-b25f-aae42bf644a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f8c65b0-ca41-4655-b25f-aae42bf644a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dfd396c-cc29-4c2e-be14-3c8bdcdf6d35' class='xr-var-data-in' type='checkbox'><label for='data-7dfd396c-cc29-4c2e-be14-3c8bdcdf6d35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:01] tas_mean_summer_fall: fa.TAS_MEAN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[13.59342073, 14.03981471, 15.08899962, 14.25872647, 14.44203195,\n",
+       "        12.7505142 , 13.98695407, 14.4955419 , 15.0739447 , 14.16474503,\n",
+       "        14.49448558, 12.81562372, 14.09383546, 14.79895742, 15.14310412,\n",
+       "        13.91634592, 14.10508016, 14.8312171 , 15.03550841, 14.04394863,\n",
+       "        15.34583266, 14.67779224, 15.03035556, 14.27525313, 16.01966636,\n",
+       "        14.78504797, 14.98437826, 14.64589374, 13.91598467, 15.13195558],\n",
+       "       [13.59973549, 14.04899292, 15.09612619, 14.2662818 , 14.45039461,\n",
+       "        12.76113538, 13.99451569, 14.5061074 , 15.07840316, 14.17237555,\n",
+       "        14.50163026, 12.8250457 , 14.10295159, 14.80855647, 15.15223919,\n",
+       "        13.92594924, 14.10917099, 14.83679122, 15.04395602, 14.05188944,\n",
+       "        15.35633681, 14.68728063, 15.03909642, 14.28242558, 16.02910402,\n",
+       "        14.79427308, 14.99338968, 14.65655232, 13.9235349 , 15.14123006],\n",
+       "       [12.03866231, 12.1807687 , 13.30377096, 12.25827619, 12.39399028,\n",
+       "        11.10153177, 12.47805114, 12.61871357, 12.87622934, 12.12889934,\n",
+       "        12.74913246, 10.23404942, 12.09384941, 12.91426934, 13.05778382,\n",
+       "        12.36318139, 12.38534508, 13.24614373, 13.21157692, 12.268524  ,\n",
+       "        13.482546  , 13.19713126, 13.14674081, 12.8019928 , 14.6280731 ,\n",
+       "        12.47661043, 13.51299185, 12.43678353, 12.31614796, 12.94174361]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.106 5.474 6.328 ... 3.632 5.55</div><input id='attrs-f4941205-99c4-40eb-96c7-ec3c0d743364' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4941205-99c4-40eb-96c7-ec3c0d743364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01de7fde-3337-46c3-acd7-5d24518111e7' class='xr-var-data-in' type='checkbox'><label for='data-01de7fde-3337-46c3-acd7-5d24518111e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_mean_year: fa.TAS_MEAN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[6.10632742, 5.47443821, 6.32783603, 5.94493331, 5.17112401,\n",
+       "        5.3147705 , 6.06659042, 6.13961005, 4.92069959, 6.58949512,\n",
+       "        6.48474021, 5.05679139, 5.16356435, 5.32635209, 6.16046485,\n",
+       "        5.69486786, 5.13045281, 7.51954488, 7.17605244, 5.53578725,\n",
+       "        7.03480145, 6.36244224, 5.51522006, 5.53140134, 6.45310123,\n",
+       "        7.34400866, 5.90002984, 6.11350123, 5.6422603 , 7.64197625],\n",
+       "       [6.11843944, 5.49213674, 6.3419729 , 5.95895582, 5.18661896,\n",
+       "        5.33151902, 6.07614118, 6.15524791, 4.93438003, 6.60731171,\n",
+       "        6.50135838, 5.0724557 , 5.17736044, 5.34194979, 6.17462429,\n",
+       "        5.70908363, 5.14391238, 7.53289425, 7.19069161, 5.55118442,\n",
+       "        7.04875644, 6.38109233, 5.53047688, 5.54859485, 6.46485484,\n",
+       "        7.35858904, 5.91437209, 6.13278522, 5.65557919, 7.65046964],\n",
+       "       [4.14810838, 3.55526899, 4.17039431, 3.97318471, 3.25198987,\n",
+       "        3.66841417, 4.97522663, 4.08242363, 2.72289593, 4.7583758 ,\n",
+       "        4.93102731, 2.77582596, 3.42911725, 3.39660042, 4.03284198,\n",
+       "        3.43550211, 3.4145967 , 6.15346014, 5.30311417, 3.89983707,\n",
+       "        5.41337212, 4.53823974, 3.6446109 , 3.62614968, 4.91786511,\n",
+       "        5.43506081, 4.57911614, 3.90721268, 3.63206007, 5.55047525]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-8b9f07dc-938d-4b0e-be2f-6a0e8a7d9738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b9f07dc-938d-4b0e-be2f-6a0e8a7d9738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-599b7536-c398-44be-b340-a651c4babd8e' class='xr-var-data-in' type='checkbox'><label for='data-599b7536-c398-44be-b340-a651c4babd8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_01: fa.TAS_MIN_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -23.98409672, -27.73548051,\n",
+       "        -26.87303784, -29.6028481 , -27.95685514, -30.63972644,\n",
+       "        -27.91691439, -21.50029051, -29.67321455, -33.58177266,\n",
+       "        -30.68331723, -34.08426609, -35.27256866, -28.93838321,\n",
+       "        -31.19214689, -30.21012775, -30.0341023 , -27.46011776,\n",
+       "        -24.00195941, -18.79033423, -29.12113139, -35.83975633,\n",
+       "        -28.85435587, -18.27490633, -28.54576846, -25.26211853,\n",
+       "        -32.02571826, -23.10343479],\n",
+       "       [-39.56195988, -32.68813996, -24.03047474, -27.78440337,\n",
+       "        -26.90172407, -29.50843105, -28.01388967, -30.60965444,\n",
+       "        -27.89900567, -21.51648806, -29.72331554, -33.65882635,\n",
+       "        -30.79566484, -34.20800736, -35.34157414, -29.09229165,\n",
+       "        -31.20830615, -30.2740806 , -30.03169703, -27.47211901,\n",
+       "        -24.12162136, -18.73545301, -29.10178855, -35.85284315,\n",
+       "        -28.82678106, -18.27176386, -28.54401892, -25.23440091,\n",
+       "        -32.10721035, -23.16594831],\n",
+       "       [-36.96008041, -34.57627807, -27.8066468 , -30.75899291,\n",
+       "        -28.30999496, -27.48191463, -29.61551842, -33.33351571,\n",
+       "        -30.71233164, -23.76549117, -30.01340507, -35.90002526,\n",
+       "        -26.66327862, -36.2616889 , -30.50588749, -29.784176  ,\n",
+       "        -33.06320284, -29.13707486, -31.48640747, -30.96090306,\n",
+       "        -23.20993496, -21.36207271, -30.24601114, -35.1453194 ,\n",
+       "        -31.49808444, -25.06021778, -28.74296546, -27.52218383,\n",
+       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.24 -20.49 ... -25.92 -20.54</div><input id='attrs-42c5adf0-7c3f-4b8b-bb49-041bb5886dbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42c5adf0-7c3f-4b8b-bb49-041bb5886dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc123688-c229-434f-a997-03accdc4dbb6' class='xr-var-data-in' type='checkbox'><label for='data-bc123688-c229-434f-a997-03accdc4dbb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_02: fa.TAS_MIN_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[-23.24032522, -20.48653586, -26.15094286, -23.03023651,\n",
+       "        -26.2771112 , -24.50412917, -26.11264203, -26.20335354,\n",
+       "        -26.23822722, -24.93641924, -22.04698123, -26.570472  ,\n",
+       "        -34.27246288, -28.11063767, -28.13070012, -27.96613667,\n",
+       "        -24.38781193, -23.24612903, -23.78522791, -23.88384983,\n",
+       "        -23.93237901, -23.78575184, -30.49814208, -26.8862271 ,\n",
+       "        -21.40091018, -23.49350063, -25.82986526, -24.68776879,\n",
+       "        -20.76766121, -24.65457701],\n",
+       "       [-23.31916932, -20.45524333, -26.23029737, -23.07710123,\n",
+       "        -26.27956865, -24.55969991, -26.10843841, -26.26810043,\n",
+       "        -26.25545957, -24.93796633, -22.04124903, -26.57807459,\n",
+       "        -34.53590112, -28.21992075, -28.24081219, -28.06565591,\n",
+       "        -24.39160762, -23.25900305, -23.81055146, -23.9661789 ,\n",
+       "        -23.95772504, -23.74780219, -30.51637279, -26.88168958,\n",
+       "        -21.42484605, -23.55432166, -25.8052279 , -24.83407727,\n",
+       "        -20.80471968, -24.8092683 ],\n",
+       "       [-27.39623848, -21.83933382, -28.11840759, -25.46939105,\n",
+       "        -25.30015168, -24.98755251, -28.39429729, -26.44333253,\n",
+       "        -27.71287586, -26.25940774, -25.02108897, -27.10565387,\n",
+       "        -31.66785606, -29.34995578, -31.6250064 , -32.0264244 ,\n",
+       "        -25.20683637, -23.25078755, -23.99480641, -23.39616611,\n",
+       "        -23.94499328, -25.27237972, -31.04427394, -26.18999563,\n",
+       "        -21.10859918, -23.08716733, -28.34773274, -25.39293754,\n",
+       "        -25.91627393, -20.53731995]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-21.91 -24.26 ... -23.2 -16.09</div><input id='attrs-8a7e63d4-311f-40b4-a678-0b3ea91c840e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7e63d4-311f-40b4-a678-0b3ea91c840e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd4154c8-51f1-4bec-8ec9-7e574e4347f1' class='xr-var-data-in' type='checkbox'><label for='data-bd4154c8-51f1-4bec-8ec9-7e574e4347f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_03: fa.TAS_MIN_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-21.90744391, -24.25802268, -18.06202688, -23.93256492,\n",
+       "        -21.60307959, -21.44121049, -20.49299461, -19.36902588,\n",
+       "        -27.46490141, -19.87414559, -15.50073208, -24.14234385,\n",
+       "        -21.90291328, -20.95091628, -23.02458304, -19.6594139 ,\n",
+       "        -18.30974457, -20.06367511, -17.92498718, -17.57049012,\n",
+       "        -21.54669508, -17.09785335, -24.75505669, -17.49807463,\n",
+       "        -18.80057047, -18.34716798, -26.45356182, -17.09174736,\n",
+       "        -22.30431741, -12.7023202 ],\n",
+       "       [-21.93532741, -24.27835522, -17.96445014, -24.10041257,\n",
+       "        -21.60343595, -21.43579495, -20.52300311, -19.37498225,\n",
+       "        -27.47046108, -19.89545598, -15.51939914, -24.13481458,\n",
+       "        -22.03569576, -20.97235949, -23.21929014, -19.77608805,\n",
+       "        -18.31461993, -20.04893862, -17.98400258, -17.56557305,\n",
+       "        -21.54782035, -17.16918259, -24.74021442, -17.45232586,\n",
+       "        -18.80852551, -18.34751511, -26.30601696, -17.05792332,\n",
+       "        -22.39049245, -12.85123559],\n",
+       "       [-21.44899029, -20.88386266, -21.06805968, -29.1238532 ,\n",
+       "        -20.19379738, -26.14657978, -23.69124714, -23.32161308,\n",
+       "        -28.91967466, -22.89868942, -22.11957932, -22.2687911 ,\n",
+       "        -24.66284511, -17.83464945, -23.93217709, -22.47943476,\n",
+       "        -18.51488066, -21.41782114, -21.73457774, -17.45580565,\n",
+       "        -20.68520394, -20.64642098, -29.89676726, -17.80527837,\n",
+       "        -21.00814125, -18.90584236, -29.07749998, -20.51195495,\n",
+       "        -23.20109368, -16.08788734]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.74 -15.53 -7.75 ... -10.1 -2.064</div><input id='attrs-15ded464-feb9-4e30-a62b-38643e13809a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15ded464-feb9-4e30-a62b-38643e13809a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9454b91-d72b-42e3-acd0-a83ac2e45de0' class='xr-var-data-in' type='checkbox'><label for='data-c9454b91-d72b-42e3-acd0-a83ac2e45de0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_04: fa.TAS_MIN_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -8.74049209, -15.52587755,  -7.74962778,  -7.58484483,\n",
+       "        -11.7496682 ,  -3.6511601 ,  -4.98794901,  -2.52939796,\n",
+       "         -6.86393175, -13.63067849,  -3.91534536,  -8.82062482,\n",
+       "         -6.26783275, -12.87169967, -14.86832359,  -8.23557019,\n",
+       "        -10.47880374,  -4.82454962,  -4.55659829,  -7.84488341,\n",
+       "         -4.9203341 ,  -8.94632475, -11.02824319,  -5.06500626,\n",
+       "         -3.22039676,  -6.80246369, -11.95938577,  -5.79547243,\n",
+       "         -3.66134849,  -0.68048186],\n",
+       "       [ -8.7012459 , -15.52479326,  -7.75966148,  -7.60804608,\n",
+       "        -11.71830951,  -3.58180287,  -5.0187384 ,  -2.3366294 ,\n",
+       "         -6.84638997, -13.84791692,  -3.64159645,  -8.76928408,\n",
+       "         -6.31014673, -12.89332544, -14.84806116,  -8.19049921,\n",
+       "        -10.47606591,  -4.94095658,  -4.71611588,  -7.80636714,\n",
+       "         -4.96344345,  -8.73076016, -10.96078214,  -5.04550084,\n",
+       "         -3.22886946,  -6.7977946 , -11.98444088,  -5.82573156,\n",
+       "         -3.66500071,  -0.69025706],\n",
+       "       [ -9.77072718, -17.98419658, -10.49236745,  -5.88392845,\n",
+       "        -14.39390207,  -9.58684514, -12.33089775,  -4.39595661,\n",
+       "         -8.91379483, -12.0300393 ,  -9.32360873, -13.85086662,\n",
+       "         -6.61374844, -10.47327486, -14.06024977, -13.12899122,\n",
+       "        -16.50616913,  -4.40466679,  -7.29883748, -10.05228734,\n",
+       "         -7.41777812, -14.3646413 , -16.38820796, -16.1535478 ,\n",
+       "         -7.29588856, -11.01646958, -10.69801473, -11.8455009 ,\n",
+       "        -10.10184105,  -2.06391094]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.607 2.965 1.848 ... -0.632 -5.043</div><input id='attrs-b09a8341-bff3-4355-bd4c-ef945600afe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b09a8341-bff3-4355-bd4c-ef945600afe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c66716b-abae-4822-9753-cea6f2b3d9b2' class='xr-var-data-in' type='checkbox'><label for='data-5c66716b-abae-4822-9753-cea6f2b3d9b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_05: fa.TAS_MIN_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.60663809,  2.96479979,  1.84836247,  1.63702019,  1.05182708,\n",
+       "        -1.86535263,  0.07031216,  3.13402533,  2.22974842,  3.25561453,\n",
+       "         3.58788766,  0.11737335,  4.1581919 , -1.16480411, -1.18652362,\n",
+       "         1.75574715, -0.16542834,  8.67854192,  2.56457035,  1.54552661,\n",
+       "         2.44562335,  1.24490056, -0.21641645,  0.79748817,  0.97366845,\n",
+       "         1.98937498,  1.96950802, -0.32541139,  3.59710511,  0.97797592],\n",
+       "       [ 1.60874716,  2.97120902,  1.86194194,  1.70732751,  1.03704431,\n",
+       "        -1.85701679,  0.14298771,  3.14823223,  2.24599631,  3.10195996,\n",
+       "         3.64375468,  0.12570524,  4.1823479 , -1.12656085, -1.19099173,\n",
+       "         1.80122806, -0.09796995,  8.73658542,  2.57320834,  1.59936649,\n",
+       "         2.45214497,  1.26856066, -0.2216667 ,  0.83504907,  0.97816231,\n",
+       "         1.9942662 ,  1.9789936 , -0.48797304,  3.61371927,  0.97503511],\n",
+       "       [-3.26579387,  1.14955531, -5.08371771, -1.21594307, -3.50892514,\n",
+       "        -3.89693836, -2.40048961,  1.51051071, -0.50730453, -0.58958517,\n",
+       "        -2.3885714 , -2.91207027,  1.26575737, -1.59995583, -2.43163456,\n",
+       "        -2.41846762, -3.51455752,  4.36847421,  0.97875004, -0.81707663,\n",
+       "        -0.03940523, -1.13799329, -1.99047459, -3.81584973, -3.84584232,\n",
+       "        -1.45212772, -1.11548706, -3.44074921, -0.6320417 , -5.0428893 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.753 8.274 6.496 ... 3.33 5.581</div><input id='attrs-7efd3ee4-7ebb-4796-a5a4-d74fb2b2f0ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7efd3ee4-7ebb-4796-a5a4-d74fb2b2f0ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df633432-3375-4bea-b98a-0ecf8be21b74' class='xr-var-data-in' type='checkbox'><label for='data-df633432-3375-4bea-b98a-0ecf8be21b74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_06: fa.TAS_MIN_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.75302532,  8.27368685,  6.49604579,  7.98140173,  7.88368259,\n",
+       "         4.21913442,  9.98836156,  7.10533971,  9.12883168,  6.21952575,\n",
+       "        10.56083361,  8.38550071,  7.09235976,  7.95860205,  9.37389345,\n",
+       "        11.27760426,  9.78768689,  7.56164715,  9.7056936 ,  6.4618496 ,\n",
+       "         7.07917088,  5.74742798,  7.7921865 ,  6.80589434,  8.36790293,\n",
+       "        11.21926765,  7.15618379, 10.06418085,  5.9086562 ,  9.06106839],\n",
+       "       [ 8.78269268,  8.32432143,  6.51513334,  7.98051481,  7.87657081,\n",
+       "         4.2382451 ,  9.99790732,  7.1265251 ,  9.15093674,  6.23909263,\n",
+       "        10.56116813,  8.40822529,  7.09947445,  7.98249356,  9.38734001,\n",
+       "        11.30220056,  9.80931128,  7.56325043,  9.72541586,  6.48768423,\n",
+       "         7.09124886,  5.77492277,  7.8011511 ,  6.82342884,  8.39346188,\n",
+       "        11.21861771,  7.18274705, 10.05562484,  5.90534512,  9.00351216],\n",
+       "       [ 4.99213633,  3.28360749,  2.80078576,  4.58199158,  4.3303734 ,\n",
+       "         0.54275456,  5.15552575,  2.89811015,  5.73959096,  2.69011827,\n",
+       "         4.91990182,  2.9602666 ,  3.63241646,  3.25093006,  3.90399782,\n",
+       "         7.24130813,  6.3111134 ,  2.6934426 ,  5.82253069,  3.70343553,\n",
+       "         5.56098885,  2.19494149,  1.16040005,  3.80982191,  8.74908484,\n",
+       "         2.87265061,  1.62078521,  6.39691558,  3.32987132,  5.58091269]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.18 9.327 11.33 ... 7.984 9.167</div><input id='attrs-f64723c1-1e69-493f-acbb-742a43730aa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f64723c1-1e69-493f-acbb-742a43730aa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6990e025-2647-4e73-acd2-734390a1cd7e' class='xr-var-data-in' type='checkbox'><label for='data-6990e025-2647-4e73-acd2-734390a1cd7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_07: fa.TAS_MIN_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[12.18469817,  9.32696473, 11.328991  , 13.31717579, 12.58696222,\n",
+       "         9.62432783, 11.10270106, 11.3669321 , 13.1554508 , 10.81395653,\n",
+       "        12.10695437, 10.69577076, 13.51346606, 13.60289909, 14.06064332,\n",
+       "        12.85974249, 11.41497109, 13.51044378, 13.23284515, 11.6373998 ,\n",
+       "         9.40922796, 11.42740756, 13.61050773, 12.94481601, 12.79786138,\n",
+       "        14.26131501, 11.30397603, 13.06238568, 11.50528622, 11.8516313 ],\n",
+       "       [12.24041376,  9.35015791, 11.35438795, 13.33372915, 12.61496565,\n",
+       "         9.57375471, 11.11921473, 11.35757806, 13.03206727, 10.72411936,\n",
+       "        12.11930408, 10.71576075, 13.50905675, 13.62226632, 13.93169811,\n",
+       "        12.85402676, 11.42497965, 13.50579254, 13.24509502, 11.64012702,\n",
+       "         9.39837309, 11.42574212, 13.62803566, 12.95904671, 12.76253913,\n",
+       "        14.2926789 , 11.32327647, 13.03776492, 11.45250616, 11.87530197],\n",
+       "       [ 9.23834423,  6.18761724,  7.85131025,  8.99352482,  8.22657732,\n",
+       "         7.29404569,  9.66249705,  9.6938958 , 10.26397059,  8.71949311,\n",
+       "         9.24647923,  6.40324147,  9.93431265,  9.65499345, 10.3059734 ,\n",
+       "         9.70865636,  9.47690845, 10.64295436, 10.01987687,  8.54124687,\n",
+       "         5.99534417,  8.23775354, 11.47190641,  8.42311913,  8.90795073,\n",
+       "        11.5363046 ,  8.03876537, 10.33283293,  7.98401326,  9.16714573]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.27 7.381 11.59 ... 8.633 9.459</div><input id='attrs-72fb0e2e-699d-4aa0-8705-2442aceb9866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72fb0e2e-699d-4aa0-8705-2442aceb9866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6095f06-d533-4176-a0e7-7f6530e459ff' class='xr-var-data-in' type='checkbox'><label for='data-d6095f06-d533-4176-a0e7-7f6530e459ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_08: fa.TAS_MIN_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.27225087,  7.38108088, 11.58806545, 10.34108347,  9.96852364,\n",
+       "         6.98060629,  8.24855999, 10.14812104,  9.44685802, 10.42769426,\n",
+       "        11.3103237 ,  9.98842448, 10.73346141, 10.2996488 , 10.6466764 ,\n",
+       "        11.71478022, 11.43523521, 11.91831676, 11.20564048, 10.20356616,\n",
+       "        10.53431911, 10.81513473, 10.05064985,  9.23489599, 11.80895229,\n",
+       "        10.10147385,  8.91899877, 11.77487568,  9.72491022, 11.6950191 ],\n",
+       "       [10.27845978,  7.37719393, 11.61837214, 10.36005929,  9.93952931,\n",
+       "         6.97771637,  8.27248587,  9.99973188,  9.4620776 , 10.4396519 ,\n",
+       "        11.31806714,  9.89697543, 10.70053252, 10.32340806, 10.65794643,\n",
+       "        11.7371015 , 11.44276443, 11.92108301, 11.22266456, 10.23812741,\n",
+       "        10.55678053, 10.83082855, 10.08263589,  9.22329863, 11.83875585,\n",
+       "        10.13421094,  8.93440963, 11.77831235,  9.75203212, 11.70968286],\n",
+       "       [ 9.89233202,  5.32378738, 10.21512168,  7.84628658,  8.8303135 ,\n",
+       "         4.55345159,  7.21899571,  9.08214805,  7.64356767,  8.51407361,\n",
+       "         9.84616942,  8.2482853 ,  9.81668684,  8.81846215,  8.37379909,\n",
+       "         8.39149302,  9.4601115 ,  9.60878655,  9.29089452,  7.30887075,\n",
+       "         9.66302087,  9.15454401,  9.8448325 ,  7.02501616, 11.06116325,\n",
+       "         8.51731983,  9.03674219,  8.98153087,  8.63325748,  9.45858976]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.872 6.597 5.539 ... 2.754 6.188</div><input id='attrs-a785cc17-2350-476b-b6a7-d2c63ff94ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a785cc17-2350-476b-b6a7-d2c63ff94ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d6f7ca7-5ff9-4ad5-b252-42e74071f1b5' class='xr-var-data-in' type='checkbox'><label for='data-1d6f7ca7-5ff9-4ad5-b252-42e74071f1b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_09: fa.TAS_MIN_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.87205829,  6.59656507,  5.53892389,  3.75540178,  6.76058985,\n",
+       "         3.72438484,  3.76099007,  4.68511449,  3.70509872,  4.02832196,\n",
+       "         0.35117403,  2.76631981,  3.33929474,  6.80467138,  3.09044334,\n",
+       "         5.15584062,  3.04573766,  6.52114065,  6.54908592,  0.30966867,\n",
+       "         4.85536704,  6.64602412,  8.02829562,  6.45481086,  6.63288032,\n",
+       "         6.54734889,  7.01559039,  4.31742943,  4.47097697,  7.66865421],\n",
+       "       [ 3.85862492,  6.60908272,  5.44951579,  3.74830361,  6.784404  ,\n",
+       "         3.73850115,  3.78739001,  4.69583974,  3.7124858 ,  4.04154906,\n",
+       "         0.36156872,  2.77304904,  3.3585899 ,  6.79282677,  3.14686634,\n",
+       "         5.02246172,  3.02598236,  6.53206822,  6.57422464,  0.28557484,\n",
+       "         4.79512779,  6.67859926,  8.04070283,  6.37427485,  6.64215434,\n",
+       "         6.55298194,  7.03290206,  4.34250506,  4.51828133,  7.72371129],\n",
+       "       [-0.22815791,  5.13236733,  4.56397552,  1.80010564,  4.51261504,\n",
+       "         3.24127206,  3.14048806,  2.75340541,  1.15837364,  2.85372169,\n",
+       "        -0.02819831,  0.12928581,  0.87053163,  5.17937723,  2.85081992,\n",
+       "         3.95630619,  3.42176929,  3.91985958,  3.83793957,  1.13770369,\n",
+       "         5.56159137,  6.83364566,  4.15205843,  5.44403959,  4.0470105 ,\n",
+       "         3.26614834,  4.85370488,  4.55361436,  2.75388448,  6.18757809]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.127 -0.7163 ... -2.594 -1.755</div><input id='attrs-8b5b457b-c226-46d3-8539-e38f6b8f90d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b5b457b-c226-46d3-8539-e38f6b8f90d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b3484d-ef4a-4ef9-8253-5d9b5340f540' class='xr-var-data-in' type='checkbox'><label for='data-e3b3484d-ef4a-4ef9-8253-5d9b5340f540' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:04] tas_min_10: fa.TAS_MIN_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[-2.1266733 , -0.71628144, -2.3397145 , -0.66671422, -1.83562681,\n",
+       "        -2.88810926, -1.19858006, -3.33815437, -0.11841713, -2.06722082,\n",
+       "        -0.96223217, -3.60837444, -2.23688245,  1.33325412, -1.07813634,\n",
+       "        -0.44506685, -2.91521901, -0.42096783, -3.19949096, -1.17323376,\n",
+       "        -2.74140892, -4.40447115, -0.79218966, -1.19260438, -1.98159697,\n",
+       "        -1.57199278, -0.07876564, -1.58826708, -2.03346542, -0.10832408],\n",
+       "       [-2.1234072 , -0.70254659, -2.34393401, -0.65834268, -1.78900077,\n",
+       "        -2.85932254, -1.17467465, -3.30988601, -0.09923966, -2.04871904,\n",
+       "        -0.93665404, -3.57872955, -2.20902797,  1.35900082, -1.04065279,\n",
+       "        -0.41192973, -2.98420531, -0.36793585, -3.17751482, -1.18715374,\n",
+       "        -2.83228647, -4.37942656, -0.77929307, -1.30458101, -1.99151161,\n",
+       "        -1.56625063, -0.06359742, -1.65891092, -2.02167306, -0.08810793],\n",
+       "       [-4.09858355, -0.85693074, -2.71008759, -2.33572078, -2.50883323,\n",
+       "        -3.55664186, -2.71612291, -4.19831442, -2.23015186, -1.95153057,\n",
+       "        -1.37193422, -4.28005239, -3.34142452, -0.24973456, -1.6648334 ,\n",
+       "        -2.51831047, -4.62800113, -0.35838806, -2.08785935, -2.34522215,\n",
+       "        -1.8813473 , -5.50989489, -1.51342148,  0.02453638, -0.14502417,\n",
+       "        -0.74261044, -1.20051181, -3.56721748, -2.59410429, -1.75513804]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-11.38 -15.49 ... -2.705 -8.084</div><input id='attrs-8da34691-50f1-4d48-bf13-ede102a9e613' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8da34691-50f1-4d48-bf13-ede102a9e613' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7557181-b8f1-4e58-ae2f-9d8470dbe98a' class='xr-var-data-in' type='checkbox'><label for='data-a7557181-b8f1-4e58-ae2f-9d8470dbe98a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:04] tas_min_11: fa.TAS_MIN_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[-11.37574816, -15.48983437, -10.25066423,  -8.8663083 ,\n",
+       "        -14.84128434, -15.66683602, -16.90083427,  -9.68735729,\n",
+       "        -22.67691224,  -8.59161062,  -8.2885206 , -10.96747286,\n",
+       "        -13.86646503, -12.18403461, -21.18867637, -19.09274316,\n",
+       "        -18.03768094,  -5.26917578,  -6.12546459, -10.42908612,\n",
+       "         -6.77080755, -14.95205414,  -5.73532517,  -6.68807148,\n",
+       "        -13.99272621,  -3.40826191, -12.52133027,  -8.72210976,\n",
+       "         -3.61928498, -10.11867432],\n",
+       "       [-11.46752575, -15.41733338, -10.23201627,  -8.84161018,\n",
+       "        -14.83156989, -15.96123068, -16.95222523,  -9.6546591 ,\n",
+       "        -22.65157083,  -8.47923246,  -8.31643854, -10.92197015,\n",
+       "        -13.82670842, -12.25262347, -21.32045799, -19.14274831,\n",
+       "        -18.23045083,  -5.21865027,  -6.11094893, -10.40171825,\n",
+       "         -6.80039885, -14.89910222,  -5.72964586,  -6.66658723,\n",
+       "        -14.09592588,  -3.37633334, -12.49508896,  -8.69479015,\n",
+       "         -3.63207964,  -9.93491921],\n",
+       "       [ -7.92248748, -12.48325666,  -8.67984963,  -9.05236009,\n",
+       "         -8.74686613, -14.31938902, -13.88294442,  -6.00356589,\n",
+       "        -17.18995269,  -7.71489932,  -9.38686806,  -7.87577386,\n",
+       "        -13.46688862,  -9.43846289, -16.42108968, -11.03868316,\n",
+       "        -10.98253663,  -5.64527945,  -7.65800277, -12.27608416,\n",
+       "         -5.79736968, -10.9236015 ,  -8.11608689,  -8.75685486,\n",
+       "        -11.87783135,  -6.23683989, -11.71598987, -10.15282188,\n",
+       "         -2.70450566,  -8.08401863]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-19.19 -21.18 ... -23.27 -17.79</div><input id='attrs-baeeb922-5e09-4c54-ab12-d212d7a7a8ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baeeb922-5e09-4c54-ab12-d212d7a7a8ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-185ee2b5-4697-45f0-bff8-e2f66989f3f9' class='xr-var-data-in' type='checkbox'><label for='data-185ee2b5-4697-45f0-bff8-e2f66989f3f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:04] tas_min_12: fa.TAS_MIN_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[-19.19203072, -21.18315122, -29.75868095, -28.4797135 ,\n",
+       "        -32.25310336, -24.92181973, -22.78338902, -28.82746707,\n",
+       "        -32.75489356, -25.44589588, -25.73698478, -24.03235532,\n",
+       "        -34.0092637 , -24.73265243, -27.01572861, -26.78006988,\n",
+       "        -23.95145002, -29.10389305, -22.48447355, -26.48245112,\n",
+       "        -12.77165792, -23.9905003 , -18.12784439, -28.48273854,\n",
+       "        -22.72246653, -20.18447694, -21.49529035, -22.76248144,\n",
+       "        -23.75229038, -18.2786706 ],\n",
+       "       [-19.23768486, -21.14172255, -29.79639458, -28.45581596,\n",
+       "        -32.40671423, -24.91227465, -22.79471661, -28.75747971,\n",
+       "        -32.80001944, -25.51206682, -25.73203988, -24.11940896,\n",
+       "        -34.07583882, -24.7898907 , -27.07301573, -26.78194946,\n",
+       "        -23.92041141, -29.00612003, -22.49277818, -26.5542261 ,\n",
+       "        -12.77578527, -23.93950602, -17.8961324 , -28.58298957,\n",
+       "        -22.84226667, -20.18014565, -21.49297563, -22.92269408,\n",
+       "        -23.8558524 , -18.24065612],\n",
+       "       [-18.15893044, -20.15237374, -30.78668119, -27.55232631,\n",
+       "        -29.83994683, -25.15685781, -25.73691682, -26.89778064,\n",
+       "        -32.43583021, -26.32885123, -23.44176001, -28.21409333,\n",
+       "        -36.23220263, -21.70228667, -24.79402725, -25.13008055,\n",
+       "        -27.77033098, -31.12906977, -24.00654438, -25.2325287 ,\n",
+       "        -15.49686777, -23.69881783, -20.68091528, -34.50240905,\n",
+       "        -22.79907671, -14.18215949, -24.52779026, -24.86531479,\n",
+       "        -23.27025903, -17.79176699]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-22.98 -24.26 ... -25.67 -19.78</div><input id='attrs-372fe65b-b335-48b3-8f97-80ac6b3f2118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-372fe65b-b335-48b3-8f97-80ac6b3f2118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dff9b8e-9aa2-41fe-85dd-447ac2c95112' class='xr-var-data-in' type='checkbox'><label for='data-1dff9b8e-9aa2-41fe-85dd-447ac2c95112' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:05] tas_min_spring: fa.TAS_MIN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[-22.98073649, -24.25802268, -26.15094286, -23.93256492,\n",
+       "        -21.60307959, -21.44121049, -26.11264203, -19.36902588,\n",
+       "        -27.46490141, -24.93641924, -22.04698123, -25.13513481,\n",
+       "        -28.81485771, -27.64842862, -27.10222712, -25.26938974,\n",
+       "        -24.38781193, -23.24612903, -23.78522791, -22.55029614,\n",
+       "        -23.93237901, -23.40916159, -30.49814208, -26.8862271 ,\n",
+       "        -21.40091018, -22.29837667, -26.45356182, -24.68776879,\n",
+       "        -22.30431741, -12.7023202 ],\n",
+       "       [-22.97959199, -24.27835522, -26.23029737, -24.10041257,\n",
+       "        -21.60343595, -21.43579495, -26.10843841, -19.37498225,\n",
+       "        -27.47046108, -24.93796633, -22.04124903, -25.13222042,\n",
+       "        -28.79974233, -27.69195117, -27.14957713, -25.2709514 ,\n",
+       "        -24.39160762, -23.25900305, -23.81055146, -22.52724228,\n",
+       "        -23.95772504, -23.38293418, -30.51637279, -26.88168958,\n",
+       "        -21.42484605, -22.2708131 , -26.30601696, -24.83407727,\n",
+       "        -22.39049245, -12.85123559],\n",
+       "       [-22.71079049, -21.62215032, -25.84459586, -29.1238532 ,\n",
+       "        -20.19379738, -26.14657978, -28.39429729, -25.27917717,\n",
+       "        -28.91967466, -26.25940774, -25.02108897, -27.00139761,\n",
+       "        -26.4896699 , -24.39906309, -27.26263392, -23.11540986,\n",
+       "        -25.20683637, -23.25078755, -23.99480641, -21.02497527,\n",
+       "        -23.94499328, -25.27237972, -31.04427394, -26.18999563,\n",
+       "        -21.10859918, -23.08716733, -29.07749998, -25.39293754,\n",
+       "        -25.6674867 , -19.77575533]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.521 -5.482 ... -2.705 -5.949</div><input id='attrs-67252cbe-1565-4ae1-9c8b-2a1bc0daa97e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67252cbe-1565-4ae1-9c8b-2a1bc0daa97e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd230060-9e2a-4d20-8308-02861c6a3a6f' class='xr-var-data-in' type='checkbox'><label for='data-dd230060-9e2a-4d20-8308-02861c6a3a6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:07] tas_min_summer_fall: fa.TAS_MIN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[ -5.52131029,  -5.48177058,  -9.67066386,  -8.8663083 ,\n",
+       "        -10.48608959, -11.49370675,  -6.66899803,  -3.33815437,\n",
+       "         -5.9140038 ,  -8.59161062,  -8.2885206 , -10.96747286,\n",
+       "         -5.86382961,  -2.59945908,  -7.02874204,  -9.62813688,\n",
+       "         -6.68350876,  -5.26917578,  -5.46326869,  -2.17566707,\n",
+       "         -6.77080755, -12.84858147,  -5.73532517,  -6.68807148,\n",
+       "         -5.29756155,  -3.23577847,  -4.87750433,  -5.85379614,\n",
+       "         -3.61928498,  -2.54770965],\n",
+       "       [ -5.50296852,  -5.48055671,  -9.58479887,  -8.84161018,\n",
+       "        -10.46785218, -11.39902331,  -6.65156536,  -3.30988601,\n",
+       "         -5.91388545,  -8.44512355,  -8.31643854, -10.92197015,\n",
+       "         -5.84098602,  -2.67900339,  -7.15401369,  -9.61554782,\n",
+       "         -6.65791544,  -5.21865027,  -5.52071585,  -2.1164685 ,\n",
+       "         -6.80039885, -12.92968603,  -5.72964586,  -6.66658723,\n",
+       "         -5.28314772,  -3.20777055,  -4.88185343,  -5.85534062,\n",
+       "         -3.63207964,  -2.52979165],\n",
+       "       [ -6.43227184,  -6.1649129 ,  -8.67984963,  -9.05236009,\n",
+       "         -8.74686613, -14.31938902,  -5.86524796,  -4.37029403,\n",
+       "         -9.28439024,  -7.09367962,  -9.38686806,  -7.87577386,\n",
+       "         -8.71896105,  -1.91543281,  -8.84748807, -10.5113594 ,\n",
+       "         -6.40598537,  -5.64527945,  -5.01863102,  -4.46908351,\n",
+       "         -2.94861107, -10.9236015 ,  -8.11608689,  -6.77082689,\n",
+       "         -9.03362635,  -6.23683989,  -4.99272244, -10.15282188,\n",
+       "         -2.70450566,  -5.94893369]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-ff53f225-e74f-4953-ba77-721b589526b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff53f225-e74f-4953-ba77-721b589526b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a75b4e0f-9f05-4ed1-9915-bb3907aaae48' class='xr-var-data-in' type='checkbox'><label for='data-a75b4e0f-9f05-4ed1-9915-bb3907aaae48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] tas_min_year: fa.TAS_MIN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -29.75868095, -28.4797135 ,\n",
+       "        -32.25310336, -29.6028481 , -27.95685514, -30.63972644,\n",
+       "        -32.75489356, -25.44589588, -29.67321455, -33.58177266,\n",
+       "        -34.27246288, -34.08426609, -35.27256866, -28.93838321,\n",
+       "        -31.19214689, -30.21012775, -30.0341023 , -27.46011776,\n",
+       "        -24.00195941, -23.9905003 , -30.49814208, -35.83975633,\n",
+       "        -28.85435587, -23.49350063, -28.54576846, -25.26211853,\n",
+       "        -32.02571826, -24.65457701],\n",
+       "       [-39.56195988, -32.68813996, -29.79639458, -28.45581596,\n",
+       "        -32.40671423, -29.50843105, -28.01388967, -30.60965444,\n",
+       "        -32.80001944, -25.51206682, -29.72331554, -33.65882635,\n",
+       "        -34.53590112, -34.20800736, -35.34157414, -29.09229165,\n",
+       "        -31.20830615, -30.2740806 , -30.03169703, -27.47211901,\n",
+       "        -24.12162136, -23.93950602, -30.51637279, -35.85284315,\n",
+       "        -28.82678106, -23.55432166, -28.54401892, -25.23440091,\n",
+       "        -32.10721035, -24.8092683 ],\n",
+       "       [-36.96008041, -34.57627807, -30.78668119, -30.75899291,\n",
+       "        -29.83994683, -27.48191463, -29.61551842, -33.33351571,\n",
+       "        -32.43583021, -26.32885123, -30.01340507, -35.90002526,\n",
+       "        -36.23220263, -36.2616889 , -31.6250064 , -32.0264244 ,\n",
+       "        -33.06320284, -31.12906977, -31.48640747, -30.96090306,\n",
+       "        -23.94499328, -25.27237972, -31.04427394, -35.1453194 ,\n",
+       "        -31.49808444, -25.06021778, -29.07749998, -27.52218383,\n",
+       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.4 91.04 82.64 ... 43.93 53.78</div><input id='attrs-d0ce7749-51e1-47d7-9f2f-bfe3add7ac97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0ce7749-51e1-47d7-9f2f-bfe3add7ac97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b4d7382-c9a5-4904-bc0b-7272006747f1' class='xr-var-data-in' type='checkbox'><label for='data-1b4d7382-c9a5-4904-bc0b-7272006747f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_01: fa.PR_SUM_01(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 23.40379484,  91.04143722,  82.64005871,  40.41029484,\n",
+       "         48.55065441, 131.87960013,  55.33038955,  44.16563065,\n",
+       "         72.30947408, 110.13319539,  70.87246596,  91.88232249,\n",
+       "         91.10925521,  91.52241532, 121.87976675,  88.57515252,\n",
+       "        122.4037686 , 146.68869618, 130.04528562,  97.38960598,\n",
+       "         34.31278783,  51.39530035,  28.53033272,  37.5846798 ,\n",
+       "         49.83448474, 127.93699213,  68.16800307,  88.69825905,\n",
+       "         61.22246764,  71.93537655],\n",
+       "       [ 23.32881824,  91.22413027,  82.66634914,  40.4527373 ,\n",
+       "         48.57896214, 131.91432325,  55.50889124,  44.06217919,\n",
+       "         72.16431044, 110.2121261 ,  70.91243532,  91.72790615,\n",
+       "         91.36235922,  91.6249768 , 121.87138612,  88.233414  ,\n",
+       "        122.40913392, 146.98254748, 129.96743584,  97.39645447,\n",
+       "         34.4337545 ,  51.49582614,  28.62363843,  37.60056693,\n",
+       "         49.97081806, 127.84978792,  68.36931337,  88.83416459,\n",
+       "         61.22549446,  71.71382827],\n",
+       "       [ 24.27591427,  74.2373725 ,  61.36655962,  37.03771326,\n",
+       "         59.59057312,  58.95888068,  32.81629066,  58.57759158,\n",
+       "         72.82709659,  74.73189122,  56.7691889 ,  71.89568382,\n",
+       "         70.76697166,  63.76575661,  74.53545267,  88.69298868,\n",
+       "        126.37862772,  68.70585697,  98.06520461,  68.03139358,\n",
+       "         48.90044118,  43.8873818 ,  31.01840197,  49.25705773,\n",
+       "         56.19506608, 100.09265196,  52.4847635 ,  85.18346326,\n",
+       "         43.931054  ,  53.77516217]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>177.2 53.98 91.72 ... 83.67 37.52</div><input id='attrs-6f1352b1-1abf-496a-bb7f-992832d6228f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f1352b1-1abf-496a-bb7f-992832d6228f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea6b1f49-9986-4cf8-8bab-81980c4bac64' class='xr-var-data-in' type='checkbox'><label for='data-ea6b1f49-9986-4cf8-8bab-81980c4bac64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_02: fa.PR_SUM_02(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[177.17798822,  53.97759765,  91.71653426,  92.48576961,\n",
+       "         64.83624274,  36.71568375,  13.29430318,  81.15170797,\n",
+       "         41.36658384,  83.76051323,  39.82750558,  72.30888648,\n",
+       "         61.58459056,  48.95666332,  53.89570583,  85.69516504,\n",
+       "        113.44473924,  47.75953664,  52.95935217,  60.10522734,\n",
+       "         75.6020768 ,  61.21894392,  51.03398776,  37.82004284,\n",
+       "         50.75130545,  80.65926144,  40.45387409,  99.94582525,\n",
+       "         78.61773731,  57.54458481],\n",
+       "       [177.05610222,  54.01225615,  91.53747657,  92.82461496,\n",
+       "         64.81464607,  36.78939094,  13.37089389,  80.91316733,\n",
+       "         41.44451841,  84.02851163,  39.81028333,  72.36051584,\n",
+       "         61.67982998,  49.17496936,  53.99620402,  85.35695215,\n",
+       "        113.47851517,  47.77986744,  52.85886437,  60.31227991,\n",
+       "         75.56774453,  61.01591988,  51.1166402 ,  37.902682  ,\n",
+       "         50.69281804,  80.57930135,  40.64246085,  99.99538833,\n",
+       "         78.67308462,  57.72585048],\n",
+       "       [ 97.71039376,  35.88066401,  48.40084541,  60.8485709 ,\n",
+       "         77.31932653,  22.08628743,  29.44228249,  72.28882709,\n",
+       "         25.29107015,  53.38590189,  38.72629591,  53.76867334,\n",
+       "         24.44286451,  38.73722863,  27.23131372,  65.22976881,\n",
+       "         90.35937003,  22.86906564,  44.6268815 ,  37.45887111,\n",
+       "         75.67884995, 104.79783629,  42.7326452 ,  42.34879627,\n",
+       "         37.134376  ,  77.01766293,  23.43398801,  57.63116738,\n",
+       "         83.67134002,  37.51646391]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.45 88.55 86.71 ... 47.01 2.956</div><input id='attrs-b8875c7d-0e49-414c-999b-b84b2b107e20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8875c7d-0e49-414c-999b-b84b2b107e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f54a99e-e750-47d5-bfd1-02e429c7f804' class='xr-var-data-in' type='checkbox'><label for='data-7f54a99e-e750-47d5-bfd1-02e429c7f804' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_03: fa.PR_SUM_03(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.45435938,  88.55005774,  86.71158029,  59.814298  ,\n",
+       "         96.7350447 ,  84.53294489,  61.88789089,  32.51453934,\n",
+       "         81.46883433,  68.14681715, 114.51763306, 101.27785518,\n",
+       "         68.74753851,  60.74914155,  76.53382307,  30.24385767,\n",
+       "         94.41327956, 114.863175  ,  85.39689681,  69.25369038,\n",
+       "         81.57997315,  94.13042652,  78.26032721,  60.95866803,\n",
+       "         51.49965867,  41.96349057,  86.59521531, 128.30046929,\n",
+       "         66.52417466,  53.71632489],\n",
+       "       [ 73.49149694,  88.54283146,  86.93856316,  59.98716445,\n",
+       "         96.89418328,  84.42305344,  61.66332192,  32.53075524,\n",
+       "         81.65092094,  68.36111119, 114.60849482, 100.88937649,\n",
+       "         68.89141692,  60.76897645,  76.29687494,  30.195649  ,\n",
+       "         94.50272502, 114.6418187 ,  85.27902214,  69.42404446,\n",
+       "         81.72629092,  93.8895516 ,  78.54995156,  60.94443674,\n",
+       "         51.51021503,  42.17713079,  86.7786701 , 128.35632912,\n",
+       "         66.57304251,  53.86613154],\n",
+       "       [ 64.24479093,  65.20638485,  71.63721922,  43.59695027,\n",
+       "        110.71474021,  89.88984009,  88.14118392,  55.3591522 ,\n",
+       "         79.75924445,  48.96564058,  94.45326589,  87.99676498,\n",
+       "         33.60519904,  42.41980058,  56.08016411,  39.98790816,\n",
+       "         56.21508782, 135.63935041,  37.832658  ,  71.64160276,\n",
+       "         33.73300829,  88.93288266,  62.54544996,  99.08406049,\n",
+       "         45.19864215,  51.05165911,  63.37299224,  65.88778032,\n",
+       "         47.00695485,   2.95558853]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>99.17 82.77 152.9 ... 94.83 61.57</div><input id='attrs-cd4bcae5-170d-4a0f-b1de-30d1fca167fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd4bcae5-170d-4a0f-b1de-30d1fca167fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d6402b-cff0-445b-98d4-5712129fe89f' class='xr-var-data-in' type='checkbox'><label for='data-a5d6402b-cff0-445b-98d4-5712129fe89f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_04: fa.PR_SUM_04(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 99.17240755,  82.76876808, 152.93240144, 100.16712399,\n",
+       "         87.85221728,  68.410618  ,  59.37821428,  98.92300666,\n",
+       "         73.62114306,  87.9434617 , 103.7329961 ,  59.45533422,\n",
+       "        135.00036785, 126.10403553,  68.24563203, 177.85847013,\n",
+       "         64.87722812,  53.68962487,  39.90536697, 128.10551484,\n",
+       "         39.70904751,  93.90808676,  98.94150186,  68.50613268,\n",
+       "        163.03100606, 105.0548605 , 126.81608195,  86.79942002,\n",
+       "         72.2163226 ,  90.57909579],\n",
+       "       [ 99.38613943,  82.88073687, 152.91382114, 100.50441524,\n",
+       "         88.01624401,  67.99223923,  59.54449999,  98.96922591,\n",
+       "         73.83112457,  87.93979383, 104.16085181,  59.46413578,\n",
+       "        135.03567802, 126.65500264,  67.95893464, 177.69481936,\n",
+       "         64.8565471 ,  53.82167257,  40.06185848, 128.24019529,\n",
+       "         39.8629335 ,  94.19243429,  98.72766977,  68.94361782,\n",
+       "        162.87794783, 105.18001331, 126.93326583,  86.77371527,\n",
+       "         72.39607539,  90.90711311],\n",
+       "       [112.83064896,  77.40629116,  86.15984494,  81.34115731,\n",
+       "         73.22967553,  72.64471899,  46.38121602,  79.82191517,\n",
+       "         34.92071357,  71.83220962,  94.75084604,  54.53791708,\n",
+       "         81.36830281,  60.20060236,  73.8799196 , 116.99051869,\n",
+       "         48.48614729,  45.58666555,  29.14618276,  35.65131636,\n",
+       "         50.03099038,  63.02808139,  59.43005809,  63.36476546,\n",
+       "        110.90707888,  68.63719341, 103.2107956 ,  93.60900427,\n",
+       "         94.83228561,  61.5724462 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>106.0 25.13 220.9 ... 75.86 71.84</div><input id='attrs-d2e0861d-2558-4d99-b85b-f75c8641ba2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2e0861d-2558-4d99-b85b-f75c8641ba2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff30fc3d-7ffa-4674-8e6c-c0dea7d6c978' class='xr-var-data-in' type='checkbox'><label for='data-ff30fc3d-7ffa-4674-8e6c-c0dea7d6c978' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_05: fa.PR_SUM_05(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[105.98777541,  25.12964602, 220.87867421, 137.66181021,\n",
+       "         81.15034541, 160.04263269, 103.9132546 ,  44.88273321,\n",
+       "        152.88689606, 101.50936956,  76.72874124,  68.6265707 ,\n",
+       "         94.2712895 , 122.15755427,  87.14602438, 110.71267957,\n",
+       "        107.2972596 ,  58.74302429,  78.13264234, 154.03706539,\n",
+       "         62.930027  , 130.98074661, 116.77858192,  85.50644005,\n",
+       "         59.18653061, 143.94724314,  68.89922917,  54.53641869,\n",
+       "        137.91456512,  36.84591618],\n",
+       "       [105.87074508,  25.08970075, 219.53864516, 138.28630271,\n",
+       "         81.30281444, 159.73387463, 104.4148259 ,  44.77425421,\n",
+       "        153.16945192, 101.43982749,  76.87793504,  68.96452846,\n",
+       "         94.41920271, 122.6526061 ,  86.69262434, 111.10334279,\n",
+       "        107.09942791,  58.57468944,  78.22364515, 154.10400617,\n",
+       "         63.10902285, 131.09850413, 117.20433906,  85.48967374,\n",
+       "         59.37601813, 144.0818018 ,  69.25633516,  54.43877403,\n",
+       "        138.41591513,  37.02579917],\n",
+       "       [ 84.01239454,  30.60832115, 165.8704261 , 133.9201292 ,\n",
+       "         65.10892305, 111.95096667,  58.57942637,  65.62034921,\n",
+       "        114.46387936,  73.58778675,  96.11958544,  60.39676495,\n",
+       "         97.41616454, 102.23583523, 113.63692804,  47.99764451,\n",
+       "        113.50199925,  53.4790055 , 108.35309736, 104.56294229,\n",
+       "         85.39973449, 118.94706126,  73.85594312, 101.28141277,\n",
+       "         45.21450675,  75.73072636,  31.56403791, 114.25818432,\n",
+       "         75.85904749,  71.8360614 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>162.8 113.4 40.59 ... 42.73 130.2</div><input id='attrs-1f99e8fe-b840-45d8-8ede-dbd33a02a0e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f99e8fe-b840-45d8-8ede-dbd33a02a0e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c274f33b-d152-4422-a5e2-feaf0430e52c' class='xr-var-data-in' type='checkbox'><label for='data-c274f33b-d152-4422-a5e2-feaf0430e52c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_06: fa.PR_SUM_06(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[162.80763946, 113.41829237,  40.59382135, 109.35459449,\n",
+       "        102.95640645, 141.35983124, 124.77037438,  80.24981435,\n",
+       "        115.4105024 , 132.69948121,  35.81760557,  83.47039964,\n",
+       "        126.51836247, 172.17826137,  39.72381914,  91.42997622,\n",
+       "         82.96134842, 161.00318241,  91.19365082, 118.98368264,\n",
+       "         89.00224849,  96.29217449,  72.63097576,  92.65299286,\n",
+       "        113.40316643, 161.15816817, 100.71155628, 166.63082534,\n",
+       "        158.42267689, 133.88957871],\n",
+       "       [161.56372581, 113.25530655,  40.55026727, 110.052114  ,\n",
+       "        102.7699817 , 141.51789279, 124.73581101,  80.10266373,\n",
+       "        115.75237679, 133.34124826,  36.20497255,  83.45331375,\n",
+       "        126.66560375, 172.30592197,  39.87420578,  91.6378473 ,\n",
+       "         82.94205889, 161.06024519,  91.12913658, 118.86539148,\n",
+       "         89.00704521,  96.60394751,  72.85984121,  92.92147021,\n",
+       "        113.2262808 , 161.63769396, 101.47384683, 165.96600162,\n",
+       "        158.37328792, 134.17592113],\n",
+       "       [ 98.66570614, 106.23342765,  76.94807943,  96.94504962,\n",
+       "         63.10318095,  89.13018833,  84.4087439 ,  58.26355804,\n",
+       "         93.41503007, 116.03300638,  42.03305323,  65.27975941,\n",
+       "        108.21208973, 100.9501663 ,  27.29446693,  94.99449155,\n",
+       "         63.34901863, 140.67448053, 105.15389833, 105.44662445,\n",
+       "         82.83686194, 129.52857276,  77.56977315,  67.91497411,\n",
+       "         76.79642115,  84.29553787,  93.9737058 , 149.48720147,\n",
+       "         42.73206703, 130.22018959]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.57 67.58 81.61 ... 163.0 66.45</div><input id='attrs-d562b487-ffe9-4fb5-a2a7-408c6a68a86f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d562b487-ffe9-4fb5-a2a7-408c6a68a86f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd718537-ee02-4302-8931-a6e6b38addfc' class='xr-var-data-in' type='checkbox'><label for='data-dd718537-ee02-4302-8931-a6e6b38addfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_07: fa.PR_SUM_07(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.56951773,  67.58030397,  81.61088531, 147.18815856,\n",
+       "         93.41848081, 187.8022164 , 118.21232247,  97.16413503,\n",
+       "         66.99669218,  82.36986398,  68.87402785, 174.79185766,\n",
+       "        101.09659852, 204.57043765, 155.00425625, 183.78524988,\n",
+       "         86.93247099, 123.27730362, 113.9599146 , 103.6562607 ,\n",
+       "        125.04834647, 157.51208276,  88.71617083, 113.69302015,\n",
+       "         91.45948957,  97.73177191, 138.09055858, 189.41991085,\n",
+       "        143.96325237,  73.12455898],\n",
+       "       [ 73.58237257,  67.17967886,  81.95388953, 146.7129233 ,\n",
+       "         93.47047456, 189.03226761, 118.46963882,  97.03994915,\n",
+       "         67.42272783,  82.6986692 ,  68.8115279 , 173.8740008 ,\n",
+       "        101.38080207, 204.11571148, 155.79236505, 182.83380884,\n",
+       "         86.98605485, 123.34499746, 114.57403154, 103.92564096,\n",
+       "        124.84057501, 158.67245015,  87.49612772, 113.68437422,\n",
+       "         90.96609723,  97.55808465, 137.4426261 , 189.50129238,\n",
+       "        143.64622062,  73.29014345],\n",
+       "       [ 60.61999494,  57.38936538,  68.36331318, 145.23423543,\n",
+       "        156.42293403, 103.4939775 ,  95.9235497 ,  83.77607045,\n",
+       "         48.98114461,  65.12193664, 100.09813253,  91.65548236,\n",
+       "         68.60068704, 116.18188568, 138.3173836 , 165.04800311,\n",
+       "         63.6773874 ,  76.3826813 , 125.88164402,  74.92022009,\n",
+       "         41.00170302, 102.56624057, 102.70158893, 108.88473089,\n",
+       "         62.57838899, 106.07698194,  97.86749914, 138.7163356 ,\n",
+       "        163.03373891,  66.44644481]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>142.2 117.3 88.39 ... 120.0 102.2</div><input id='attrs-2c1a6f6a-7ac1-42e3-a8b1-90a5d9d7f728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c1a6f6a-7ac1-42e3-a8b1-90a5d9d7f728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59a14c9-eb8a-4458-bc7b-44df341e731c' class='xr-var-data-in' type='checkbox'><label for='data-b59a14c9-eb8a-4458-bc7b-44df341e731c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_08: fa.PR_SUM_08(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[142.17700918, 117.34089635,  88.39079101,  97.38922239,\n",
+       "         61.39302248, 137.01332558,  64.07064279, 141.14234912,\n",
+       "         66.58329942, 178.59259726, 185.1186627 , 121.40983251,\n",
+       "        142.97048289,  89.29774222,  77.62911196,  94.64073801,\n",
+       "        138.75034736,  68.39109758,  73.66064922, 114.310048  ,\n",
+       "        103.80380096,  43.90071096, 119.55266332, 142.30616672,\n",
+       "        149.20413261, 111.29686403,  86.40840534, 111.1404256 ,\n",
+       "         85.26391487,  99.50795985],\n",
+       "       [142.00192448, 117.42298002,  88.2192102 ,  97.87106276,\n",
+       "         61.7689147 , 137.38890119,  63.97601207, 141.28791277,\n",
+       "         66.78546821, 179.42117867, 186.02851649, 120.65244076,\n",
+       "        143.19985713,  89.14468181,  77.99077813,  94.97028468,\n",
+       "        139.62879689,  68.64952046,  73.69789803, 114.64279234,\n",
+       "        103.28351464,  44.04071204, 119.21033119, 142.97027012,\n",
+       "        149.85672689, 111.13827176,  85.655988  , 111.36723496,\n",
+       "         85.59252619, 100.07187097],\n",
+       "       [ 84.34835355,  88.62300539,  77.9808916 , 107.69532556,\n",
+       "         48.19918676,  95.97964867, 106.41922262, 222.90979655,\n",
+       "         93.35817419,  50.91947686,  93.08071244, 156.42813246,\n",
+       "         88.64374365, 134.52492549,  54.7385885 ,  66.39915603,\n",
+       "        107.97321199,  95.55363798,  73.40644184,  93.84714307,\n",
+       "        126.18427654,  44.0264344 ,  88.52983401,  66.38112953,\n",
+       "         83.84246551,  92.25501455, 103.83718559, 111.93554046,\n",
+       "        120.01375833, 102.24827536]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.3 101.4 80.7 ... 40.39 162.7</div><input id='attrs-3cfa2be8-25ee-4b53-b1a5-20080382f7d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cfa2be8-25ee-4b53-b1a5-20080382f7d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c041f5da-7b08-4228-993e-7ea0198dbc0e' class='xr-var-data-in' type='checkbox'><label for='data-c041f5da-7b08-4228-993e-7ea0198dbc0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_09: fa.PR_SUM_09(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[131.2983278 , 101.41880615,  80.70447736,  50.76260981,\n",
+       "        126.80035291, 186.72541472, 117.1577319 ,  77.17950308,\n",
+       "         98.35962117, 117.93279737,  69.51150864, 133.38621108,\n",
+       "        111.77972798,  80.39993448, 101.75652525,  95.81306542,\n",
+       "        102.58777531, 105.96719588, 190.57098517,  74.34606253,\n",
+       "         81.6902341 , 102.5638065 ,  79.03519039,  83.98582836,\n",
+       "        151.72772625,  85.83917225,  80.37431901,  71.38467602,\n",
+       "         68.95324708, 194.92020981],\n",
+       "       [131.37825528, 101.63247306,  80.54910833,  51.086636  ,\n",
+       "        126.76993601, 186.88965472, 117.79013353,  77.09580458,\n",
+       "         98.36164192, 118.00870883,  69.72946562, 133.40449815,\n",
+       "        111.78810738,  80.11675246, 102.17103984,  95.90911682,\n",
+       "        102.3800055 , 105.65631138, 190.30890978,  74.47250419,\n",
+       "         81.12914951, 102.75269185,  78.91271657,  83.46179427,\n",
+       "        151.02854293,  85.52000762,  80.64469443,  70.82444764,\n",
+       "         69.37962439, 194.24471883],\n",
+       "       [141.12871798, 113.15895831, 101.6695283 ,  84.18356737,\n",
+       "         54.55557108, 100.41823778,  58.41709475, 133.90658696,\n",
+       "         79.40237866, 106.12371167, 105.21768118, 138.71612014,\n",
+       "         77.87348963,  81.70461188,  82.44895357,  97.70292884,\n",
+       "        120.44771305, 109.11586781, 153.34133751,  76.22885281,\n",
+       "        146.53942314,  64.83219527, 132.90259897,  19.42205284,\n",
+       "        156.18838337, 123.64175432,  45.8398223 , 102.18871976,\n",
+       "         40.39381466, 162.671824  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>129.4 46.1 96.5 ... 130.9 61.07</div><input id='attrs-d2f4e5df-d53c-40c0-a34d-c670194ba023' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2f4e5df-d53c-40c0-a34d-c670194ba023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e1b08d-bcd0-4012-b70b-d1e7c186e49a' class='xr-var-data-in' type='checkbox'><label for='data-43e1b08d-bcd0-4012-b70b-d1e7c186e49a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_10: fa.PR_SUM_10(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[129.36924874,  46.09766182,  96.50354881,  64.19548293,\n",
+       "         86.54607602,  69.1935132 ,  98.70916392, 120.02210366,\n",
+       "        107.81878339, 152.15915148, 161.7825605 ,  62.10563637,\n",
+       "        122.34025167,  24.15012736, 149.0946572 , 117.87713915,\n",
+       "         53.1529043 ,  87.57026688, 111.171548  ,  67.90124327,\n",
+       "        113.00214163,  89.47917862, 158.40828467,  59.54444621,\n",
+       "        152.67531271, 178.41536325, 116.59738741, 100.58405335,\n",
+       "         91.40752128, 141.65551429],\n",
+       "       [129.68974744,  46.23326339,  96.60276742,  64.34355595,\n",
+       "         86.71608801,  69.27415669,  98.79367995, 119.73035163,\n",
+       "        107.73885831, 152.32106284, 160.81529965,  62.22540285,\n",
+       "        122.33432883,  24.08712087, 149.10072666, 117.76121649,\n",
+       "         52.8900649 ,  87.60431702, 110.97755349,  67.89985686,\n",
+       "        113.03187323,  89.37280031, 158.66963503,  59.32230773,\n",
+       "        153.40866167, 178.53588479, 116.47144768, 100.18318951,\n",
+       "         91.34770344, 142.08534878],\n",
+       "       [100.91925212,  78.32144867, 116.29037235,  91.45597252,\n",
+       "         64.10102758,  61.31575992,  93.89832215, 152.65895984,\n",
+       "         84.02303523, 123.99370419, 135.48234643,  68.08498661,\n",
+       "        137.84493408,  49.67258608, 141.09872403,  68.30926727,\n",
+       "         64.70658806,  42.33613652,  96.16566933,  37.7377374 ,\n",
+       "        166.60041816,  90.67355045, 142.79138951,  87.60697887,\n",
+       "         56.97838133, 167.89788692,  89.43913453,  78.52846296,\n",
+       "        130.90802862,  61.07137116]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.14 114.5 211.9 ... 59.39 78.67</div><input id='attrs-db86b536-d4bc-4a8f-b507-b5f0e7959f11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db86b536-d4bc-4a8f-b507-b5f0e7959f11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5891f255-67cb-48dc-9364-059043057452' class='xr-var-data-in' type='checkbox'><label for='data-5891f255-67cb-48dc-9364-059043057452' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_11: fa.PR_SUM_11(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 75.13580929, 114.52677416, 211.91445256,  95.94879956,\n",
+       "         82.86441824, 107.24759783, 117.92841619, 146.22245573,\n",
+       "        163.21469612, 103.41670964,  52.5570827 ,  93.29189581,\n",
+       "        123.10714697, 110.04898162, 136.19019544,  82.64459813,\n",
+       "         96.31734474,  82.28738389,  90.16395407,  54.67663176,\n",
+       "        100.54745642,  94.69964335, 144.47468031,  89.51878074,\n",
+       "        126.45692552, 107.08493334,  92.63840409,  84.03616085,\n",
+       "         76.02304501, 123.59663656],\n",
+       "       [ 75.14660597, 114.06669753, 212.44396622,  95.94883685,\n",
+       "         83.15194939, 107.83700511, 118.16677721, 145.9171389 ,\n",
+       "        163.22857238, 103.42103214,  52.61562812,  93.47553468,\n",
+       "        123.08963981, 110.12051724, 136.15777767,  82.49191402,\n",
+       "         96.27067817,  82.25721275,  90.03555594,  54.82130693,\n",
+       "        100.56146026,  94.6902275 , 144.20530249,  89.62848574,\n",
+       "        126.3851898 , 107.05391799,  92.72122928,  83.73505617,\n",
+       "         76.5074062 , 123.78068653],\n",
+       "       [ 54.34011433, 100.38086985, 113.91536945, 112.77715111,\n",
+       "         76.27022416,  54.75576285,  70.34604659, 110.42750727,\n",
+       "        157.38947492, 136.30323865,  65.41541493,  98.79545301,\n",
+       "         98.8214726 ,  96.86141772, 140.86621059,  92.91101335,\n",
+       "         53.58672514,  80.93066163, 113.43537728,  66.1062458 ,\n",
+       "         91.57066099,  93.16621659, 142.13102337,  83.01155926,\n",
+       "        129.61328484, 101.07552642,  72.55635306,  85.92150888,\n",
+       "         59.38522834,  78.67271769]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>82.06 105.9 170.6 ... 66.37 92.34</div><input id='attrs-fb9f6f2c-77d6-4369-b4ac-e18da4e65c05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb9f6f2c-77d6-4369-b4ac-e18da4e65c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e894fa0-a621-4295-8e1c-d3ba0255d26c' class='xr-var-data-in' type='checkbox'><label for='data-8e894fa0-a621-4295-8e1c-d3ba0255d26c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:10] pr_sum_12: fa.PR_SUM_12(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 82.05642173, 105.92027332, 170.63817824,  99.99524289,\n",
+       "         65.93614439,  79.4087846 ,  59.82280074,  51.62654905,\n",
+       "         58.04790591, 144.76656794,  69.29918602,  50.31850028,\n",
+       "         71.03131417,  57.98253455,  67.99112159, 130.34913518,\n",
+       "         61.58099099,  84.28524335,  62.42383876, 133.46954722,\n",
+       "         39.08647318,  40.69718141, 183.97074446, 125.43724617,\n",
+       "         91.59748659,  81.91632254, 125.5958008 , 146.25570698,\n",
+       "        102.26047659, 124.52485081],\n",
+       "       [ 82.31905807, 105.83236792, 170.95290006, 100.16903767,\n",
+       "         65.86724345,  79.62784882,  59.80329482,  51.57391398,\n",
+       "         58.0952821 , 144.66871533,  69.44484492,  50.36867842,\n",
+       "         71.04158619,  57.9632743 ,  67.99510218, 130.4415185 ,\n",
+       "         61.79503443,  83.88202575,  62.44179447, 133.21167012,\n",
+       "         39.17804785,  40.82355566, 183.95610614, 125.21917855,\n",
+       "         91.51335182,  82.38152967, 125.60739955, 146.44319709,\n",
+       "        102.3458729 , 124.3864407 ],\n",
+       "       [ 45.50437318, 114.83148886,  87.47519747,  97.43725934,\n",
+       "         73.80381354,  69.71752769,  71.12533489,  61.85303538,\n",
+       "         48.41981207,  73.32101905,  72.7450917 ,  63.51188888,\n",
+       "         44.44283542,  35.27717441,  51.82450661,  89.15702311,\n",
+       "         32.27346185,  65.59315072,  81.70091774,  72.01059752,\n",
+       "         59.3484713 ,  48.05389039,  78.04215559, 129.29257276,\n",
+       "         57.15556357,  70.78049768,  99.46681331, 134.89312849,\n",
+       "         66.37407544,  92.34257448]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>476.9 260.7 513.8 ... 317.2 253.4</div><input id='attrs-6bce4418-fcc7-400e-9849-714163a98e16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bce4418-fcc7-400e-9849-714163a98e16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-937f05f6-9ccf-4d34-ba68-b5dc490ed829' class='xr-var-data-in' type='checkbox'><label for='data-937f05f6-9ccf-4d34-ba68-b5dc490ed829' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:11] pr_sum_spring: fa.PR_SUM_SPRING(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[476.88870814, 260.72088455, 513.83608728, 441.92086989,\n",
+       "        401.14066263, 421.97696053, 295.39316358, 246.97412483,\n",
+       "        432.32145383, 396.67195607, 365.9851674 , 339.24352629,\n",
+       "        415.93999483, 435.41885519, 301.08204389, 433.30958282,\n",
+       "        401.4784079 , 380.85469474, 288.42219436, 445.89940635,\n",
+       "        263.54735907, 396.37121118, 380.97269361, 296.18350578,\n",
+       "        413.53440498, 394.92594377, 369.12657875, 412.28512393,\n",
+       "        389.14079326, 298.26795014],\n",
+       "       [476.85651092, 260.55768156, 512.29597708, 443.93954046,\n",
+       "        401.3219603 , 421.25792665, 295.71416568, 246.62450743,\n",
+       "        433.17774237, 397.49465641, 366.98659293, 339.46603106,\n",
+       "        416.32093672, 437.21003317, 300.27864417, 433.55428099,\n",
+       "        401.23611891, 380.48778687, 288.63226487, 446.41622496,\n",
+       "        264.21758387, 396.52868671, 381.53523831, 296.96484215,\n",
+       "        413.33176496, 395.5269913 , 370.07941267, 411.88715204,\n",
+       "        390.14565525, 299.19654635],\n",
+       "       [369.73944678, 266.1035476 , 374.05592192, 352.65474182,\n",
+       "        360.41004532, 347.8084544 , 243.98992315, 267.0605682 ,\n",
+       "        306.52099113, 298.65881296, 356.64431128, 276.28946183,\n",
+       "        276.28423078, 286.64181231, 273.93993489, 310.49708965,\n",
+       "        324.22030794, 323.35079276, 276.15182229, 296.25024717,\n",
+       "        245.51089536, 436.34929633, 279.7734011 , 316.91168422,\n",
+       "        304.62205098, 288.38091337, 280.4825964 , 400.23893624,\n",
+       "        317.24595563, 253.41959057]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>612.0 464.9 505.4 ... 492.6 484.3</div><input id='attrs-0b66057a-f156-4f6b-9e35-3d840a6551ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b66057a-f156-4f6b-9e35-3d840a6551ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26b75f41-a336-499f-b02d-9342343ae9a2' class='xr-var-data-in' type='checkbox'><label for='data-26b75f41-a336-499f-b02d-9342343ae9a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:13] pr_sum_summer_fall: fa.PR_SUM_SUMMER_FALL(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[612.00291949, 464.90558608, 505.38165303, 481.01964922,\n",
+       "        461.4137243 , 679.51228672, 503.10075551, 624.31622992,\n",
+       "        474.08718491, 661.22096199, 525.98067827, 582.24065653,\n",
+       "        622.86277279, 562.77733308, 590.41428219, 610.95868553,\n",
+       "        489.76386995, 487.89453113, 562.73624343, 470.50429351,\n",
+       "        519.57580103, 498.47063168, 540.73436331, 459.31582029,\n",
+       "        634.19686133, 646.46741081, 511.14766709, 593.37681367,\n",
+       "        526.61472207, 662.91379012],\n",
+       "       [610.92497593, 464.61702305, 505.8660077 , 481.51282706,\n",
+       "        462.28352247, 681.5949487 , 504.18114181, 623.425661  ,\n",
+       "        474.75664461, 663.00703419, 526.23869412, 580.42030857,\n",
+       "        623.75895187, 561.29354177, 591.97477088, 609.95593195,\n",
+       "        490.19968698, 488.12225902, 562.67143504, 471.13645131,\n",
+       "        518.21158545, 500.05856482, 539.23541804, 459.21628809,\n",
+       "        634.3359697 , 646.15929096, 510.5360103 , 592.35334245,\n",
+       "        526.93191123, 663.81345658],\n",
+       "       [463.63069988, 430.48890545, 487.45589375, 579.76456323,\n",
+       "        408.1160033 , 432.84890473, 425.90738988, 731.50772288,\n",
+       "        459.6350703 , 474.15142991, 473.97590414, 574.09096039,\n",
+       "        495.11497154, 496.08797376, 536.50696087, 511.06301099,\n",
+       "        421.56276615, 444.19346611, 558.07355177, 376.96088128,\n",
+       "        574.87773442, 407.80101551, 582.25582799, 357.72106208,\n",
+       "        440.46752571, 587.92041828, 399.34097257, 536.97724435,\n",
+       "        492.55087567, 484.297609  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.276e+03 1.008e+03 ... 968.1 921.3</div><input id='attrs-d20cf305-6b97-42e5-91b9-f7d9be2fedd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d20cf305-6b97-42e5-91b9-f7d9be2fedd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62e43eaa-2722-43cd-8c68-0739edb6260a' class='xr-var-data-in' type='checkbox'><label for='data-62e43eaa-2722-43cd-8c68-0739edb6260a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] pr_sum_year: fa.PR_SUM_YEAR(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[1275.61029933, 1007.77051484, 1405.23540356, 1095.37340728,\n",
+       "         999.03940583, 1390.33216304,  994.47550489, 1015.24452786,\n",
+       "        1098.08443197, 1363.43052591, 1048.63997592, 1112.32530242,\n",
+       "        1249.55692631, 1188.11782924, 1135.09063889, 1289.62522691,\n",
+       "        1124.71945723, 1134.52573059, 1119.58408456, 1176.23458003,\n",
+       "         946.31461353, 1056.77828225, 1220.33344121,  997.51444463,\n",
+       "        1250.82722521, 1323.00444327, 1131.3488351 , 1327.73215131,\n",
+       "        1142.7894014 , 1201.84060723],\n",
+       "       [1274.81499153, 1007.37242283, 1404.86696419, 1098.23940118,\n",
+       "        1000.12143776, 1392.42060842,  996.23778034, 1013.99731661,\n",
+       "        1099.64525382, 1365.86198551, 1050.02025556, 1110.86033214,\n",
+       "        1250.88841201, 1188.73051148, 1135.89801937, 1288.62988393,\n",
+       "        1125.23904275, 1134.25522564, 1119.5557058 , 1177.31614318,\n",
+       "         945.73141201, 1058.64862107, 1219.53229935,  998.08885807,\n",
+       "        1250.81266824, 1323.6934256 , 1131.99727718, 1326.41879072,\n",
+       "        1144.47625377, 1203.27385297],\n",
+       "       [ 968.60065472,  942.27759778, 1076.07764707, 1092.47308188,\n",
+       "         922.41917653,  930.34179661,  835.89871405, 1155.46334974,\n",
+       "         932.25105387,  994.31952349,  994.89161462, 1011.06762704,\n",
+       "         932.0387547 ,  922.53199097,  981.95261197, 1033.4207121 ,\n",
+       "         940.95533823,  936.86656056, 1067.10931027,  843.64354724,\n",
+       "        1007.82483937,  992.44034383, 1034.25086186,  917.85009097,\n",
+       "         917.8025586 , 1118.55309348,  877.04709098, 1218.24049717,\n",
+       "         968.14139331,  921.3291193 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>67.68 110.8 18.01 ... 133.8 77.56</div><input id='attrs-4786537b-cb1f-4aa8-a0db-1df6cebecd2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4786537b-cb1f-4aa8-a0db-1df6cebecd2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b49a5881-32ce-4e18-b064-6d60ee2c8668' class='xr-var-data-in' type='checkbox'><label for='data-b49a5881-32ce-4e18-b064-6d60ee2c8668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_01: fa.SND_MEAN_01(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 67.68034464, 110.78492579,  18.00656939, 147.8793057 ,\n",
+       "         78.33036725,  69.6968544 ,  88.51948846,  55.70864449,\n",
+       "         49.89223874, 102.94742893,  47.01992837,  29.44279231,\n",
+       "         20.91444929,  66.51791196,  29.22274476,  75.6143354 ,\n",
+       "         45.25937081, 142.52672604,  73.08338292,  33.43010692,\n",
+       "         85.48568747,  33.42566959,  38.17790394,  73.18279542,\n",
+       "         58.94821902,  99.21136418,  15.72517873, 112.07680462,\n",
+       "         87.57566492,  65.3257813 ],\n",
+       "       [ 66.59815887, 110.09335216,  17.81679366, 146.33051688,\n",
+       "         77.49623001,  69.32743057,  87.8243161 ,  55.13989535,\n",
+       "         49.24760132, 101.68387092,  45.36529949,  28.99339328,\n",
+       "         20.24512685,  66.12951199,  28.43364275,  74.79349051,\n",
+       "         44.11280113, 141.9454367 ,  72.48101828,  32.67940823,\n",
+       "         84.89899325,  33.26383117,  37.25381577,  72.70756959,\n",
+       "         57.36018835,  98.34432103,  15.50395279, 110.77788353,\n",
+       "         86.12157257,  64.81934601],\n",
+       "       [112.90372099,  89.91732911,  29.4803631 , 135.66343247,\n",
+       "         80.40308338,  73.59760491,  89.74237576,  73.21906576,\n",
+       "         70.27815238, 118.69934693,  71.17330054,  60.53579967,\n",
+       "         63.86842427,  58.1094153 ,  27.82669077, 103.31754454,\n",
+       "        101.11239207,  69.94074856,  59.99009286,  62.95271521,\n",
+       "         91.45287805,  50.74276862,  64.26643281,  76.14415434,\n",
+       "        131.52828384,  85.84895085,  20.37767966,  88.56874582,\n",
+       "        133.82035982,  77.55644563]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.3 183.4 44.98 ... 168.5 89.92</div><input id='attrs-5242863b-d9f1-4c30-a41c-74e66ffac1d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5242863b-d9f1-4c30-a41c-74e66ffac1d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40969070-da94-4d41-85fc-c3164ac2d5c8' class='xr-var-data-in' type='checkbox'><label for='data-40969070-da94-4d41-85fc-c3164ac2d5c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_02: fa.SND_MEAN_02(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 48.29997508, 183.37751574,  44.9800082 , 154.74962741,\n",
+       "         92.77853968, 111.24317241, 124.07932147,  63.78058645,\n",
+       "         82.44489614, 146.30748549,  59.00655868,  58.05546674,\n",
+       "         54.12723512, 104.96301425,  51.11877441,  48.38243171,\n",
+       "        110.92690881, 187.33708343,  88.84864096,  83.2605952 ,\n",
+       "        129.23639028,  71.5558158 ,  69.07080294, 105.16980028,\n",
+       "         63.63936489, 125.95074061,  37.85414631, 169.44689917,\n",
+       "        120.55397691,  61.99405204],\n",
+       "       [ 46.66647419, 182.59646761,  44.14950118, 152.46667226,\n",
+       "         91.6460874 , 110.44928695, 123.41828726,  62.06741081,\n",
+       "         81.11176544, 143.89527942,  56.39113668,  57.10129344,\n",
+       "         53.23655386, 103.88636301,  49.92968289,  46.16501048,\n",
+       "        108.73644935, 186.39081542,  86.7750987 ,  82.38164631,\n",
+       "        128.48142887,  70.51299181,  68.05755169, 104.62881037,\n",
+       "         61.36689891, 123.71240636,  37.55111422, 167.2610035 ,\n",
+       "        118.61276023,  61.02131409],\n",
+       "       [122.26998517, 138.66133566,  64.14024432, 143.8314866 ,\n",
+       "        118.87106209,  95.93058628, 128.33669372,  99.28140167,\n",
+       "        110.69890797, 156.3457297 , 100.95273106, 113.56972388,\n",
+       "        102.45239173,  95.0704074 ,  42.35423437, 140.88811452,\n",
+       "        167.37989141,  95.32330941,  83.33473623,  79.22632913,\n",
+       "        141.79860044, 110.3120374 ,  95.56042134, 120.13744174,\n",
+       "        145.5482975 , 171.14925243,  38.74901615, 122.23684409,\n",
+       "        168.45076143,  89.91705256]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.974 195.5 36.08 ... 194.6 80.46</div><input id='attrs-2a8b4059-70d2-4e16-9a9f-f273281b92b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a8b4059-70d2-4e16-9a9f-f273281b92b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebd58cae-658c-4358-8165-f600dd400507' class='xr-var-data-in' type='checkbox'><label for='data-ebd58cae-658c-4358-8165-f600dd400507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_03: fa.SND_MEAN_03(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[  8.974288  , 195.50803325,  36.07669425, 163.06132795,\n",
+       "         90.4996182 , 127.03800696, 111.78909222,  70.17601953,\n",
+       "         86.31946076, 126.43165064,  44.3931008 ,  55.10639389,\n",
+       "        108.69088438, 114.58432681,  39.96253287,  16.94167359,\n",
+       "        180.15298106, 186.48424519,  90.33573446,  19.18463185,\n",
+       "        174.18353931,  26.36082637,  86.82961854,  71.24111816,\n",
+       "         99.17867831, 107.01757952,  52.21104191, 255.65661682,\n",
+       "         97.87000321,  31.86749916],\n",
+       "       [  8.61464986, 194.17146226,  34.61214389, 159.68638139,\n",
+       "         87.94654627, 125.33559753, 110.6314392 ,  67.46743727,\n",
+       "         84.23830501, 122.58795229,  39.67979699,  53.12236852,\n",
+       "        107.57287395, 112.7717762 ,  38.44741216,  14.49167146,\n",
+       "        176.54565946, 184.43360353,  86.85559855,  17.79326195,\n",
+       "        173.14610695,  24.40363617,  85.40711574,  69.30772232,\n",
+       "         96.29875707, 103.65726477,  51.26147132, 252.84274213,\n",
+       "         94.02826511,  30.67933666],\n",
+       "       [ 85.04145561, 162.75557334,  50.93607147, 140.90900965,\n",
+       "        199.12856282, 119.90748442, 119.18847155, 140.35620691,\n",
+       "        129.26824126, 127.8156462 , 123.03023503, 160.35298151,\n",
+       "        120.10573127,  99.538352  ,  33.0449208 , 167.46941615,\n",
+       "        242.25530414, 121.51741583, 101.62835418,  19.19113765,\n",
+       "        184.66822607, 176.39699669, 108.23675633, 131.71746473,\n",
+       "        176.55958303, 197.78973237,  42.73239852, 153.3499245 ,\n",
+       "        194.60592434,  80.46474715]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1946 81.42 4.933 ... 117.7 2.051</div><input id='attrs-2d77b67d-c41d-49ab-a59e-c870b0eab054' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d77b67d-c41d-49ab-a59e-c870b0eab054' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c35bafd2-dfe5-4cc2-86eb-9ae8bdf81dcd' class='xr-var-data-in' type='checkbox'><label for='data-c35bafd2-dfe5-4cc2-86eb-9ae8bdf81dcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_04: fa.SND_MEAN_04(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[  0.19461214,  81.41902001,   4.93346062,  34.31216759,\n",
+       "         22.45040753,   1.32568055,   0.42611347,   0.71272864,\n",
+       "          6.33559434,  15.02498208,   1.28253454,   4.08289066,\n",
+       "         19.01791052,  30.07318603,   0.67524072,   3.32157917,\n",
+       "         84.42738702,  20.14914777,  10.14107476,   5.28844095,\n",
+       "        105.16263899,   2.95956749,   4.7536247 ,   1.29480615,\n",
+       "          5.37773604,   4.05644534,   9.8644111 , 141.85424967,\n",
+       "          2.31566559,   1.15988753],\n",
+       "       [  0.19438974,  78.57831909,   4.56924806,  31.55193635,\n",
+       "         20.06432327,   0.98803973,   0.3829946 ,   0.52132145,\n",
+       "          5.42241346,  12.12356795,   0.59560779,   3.48578483,\n",
+       "         18.15944762,  28.19234034,   0.59240447,   2.84249673,\n",
+       "         79.47643926,  17.9453371 ,   8.13470149,   5.22103308,\n",
+       "        103.62641154,   2.57707132,   4.27036669,   1.03560207,\n",
+       "          4.46032533,   3.28714592,   9.50595513, 137.99816422,\n",
+       "          1.65939185,   1.14768871],\n",
+       "       [  5.85500907, 114.58472729,  20.1666483 ,  65.97430636,\n",
+       "        165.37497912,  13.56272353,  11.34588654,  18.64492462,\n",
+       "         53.93241039,  65.22808609,  20.93358567, 121.81367949,\n",
+       "         33.25611253,  56.79718983,   2.47831129, 140.92870012,\n",
+       "        176.53271799,   5.27601157,  16.36012122,   5.79463319,\n",
+       "        100.07229082,  96.05440149,  37.93585552,  48.62172667,\n",
+       "        102.55799185,  73.14267908,   6.1642968 ,  84.48334719,\n",
+       "        117.73950012,   2.05053619]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008909 0.003593 ... 0.1019 1.929</div><input id='attrs-f72d56b3-4042-44d5-a1d7-bfd1d73eddc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f72d56b3-4042-44d5-a1d7-bfd1d73eddc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5db5551e-13ae-461d-8b3c-9ad501efdd2e' class='xr-var-data-in' type='checkbox'><label for='data-5db5551e-13ae-461d-8b3c-9ad501efdd2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_05: fa.SND_MEAN_05(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.90943261e-03,  3.59264185e-03,  1.49740253e-02,\n",
+       "         3.83972563e-05,  3.67432974e-03,  2.00298335e-03,\n",
+       "         5.79906998e-03,  7.09394967e-06,  5.08814673e-05,\n",
+       "         1.79812807e-06, -7.34536492e-22, -7.34536492e-22,\n",
+       "         1.56626518e-04,  4.41481336e-02, -7.34536492e-22,\n",
+       "         5.96662034e-03,  2.71145489e-01,  6.03657281e-06,\n",
+       "         7.83015233e-05,  2.37805770e-05,  6.19295401e-03,\n",
+       "         9.74391822e-02,  2.99670333e-05,  2.45740580e-01,\n",
+       "         1.76856176e-03, -7.34536492e-22,  5.70586983e-04,\n",
+       "         2.16209764e-02, -7.34536492e-22,  2.11709695e-02],\n",
+       "       [ 8.79996557e-03,  1.10184911e-03,  1.30819993e-02,\n",
+       "         2.49545892e-06,  2.73827138e-03,  1.83963102e-03,\n",
+       "         6.30716733e-03,  4.15909820e-08,  1.56313897e-05,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "         1.28265214e-04,  4.26382663e-02, -7.34536492e-22,\n",
+       "         6.16885870e-03,  2.04457938e-01, -7.34536492e-22,\n",
+       "         1.27904759e-05,  2.42032224e-05,  4.09577001e-03,\n",
+       "         9.26469155e-02,  2.44793590e-05,  2.43711100e-01,\n",
+       "         1.75090815e-03, -7.34536492e-22,  6.52978417e-06,\n",
+       "         7.51016229e-03, -7.34536492e-22,  2.13241808e-02],\n",
+       "       [ 1.63420014e-02,  5.80959829e-01,  1.24193532e+00,\n",
+       "         3.17093180e-01,  4.99303796e-02,  9.55570695e-02,\n",
+       "         1.51053999e-01,  3.77936764e-03,  6.72988157e-01,\n",
+       "         7.52345937e-02,  2.98176596e-05,  8.08759966e-01,\n",
+       "         1.77579004e-03,  4.98375211e-01,  5.55383105e-03,\n",
+       "         6.75374565e+00,  1.04702579e+01,  1.71769902e-05,\n",
+       "         2.43266564e-03,  8.83377704e-04,  1.30653976e-02,\n",
+       "         7.30952664e-01,  1.32427586e-02,  1.07841385e+00,\n",
+       "         3.19504776e-01,  2.59983043e-02,  6.49965428e-04,\n",
+       "         7.29413425e-01,  1.01935820e-01,  1.92902400e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-6eb69d69-7617-499c-afff-cd38cbce8371' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eb69d69-7617-499c-afff-cd38cbce8371' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d3c955d-26fa-4a71-93ab-bc90ba2ce15b' class='xr-var-data-in' type='checkbox'><label for='data-0d3c955d-26fa-4a71-93ab-bc90ba2ce15b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_06: fa.SND_MEAN_06(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22,  7.06952732e-05, -7.34536492e-22,\n",
+       "        -7.34536492e-22,  1.37445069e-09, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22,  2.38447665e-07,\n",
+       "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22,  9.30205484e-02,\n",
+       "        -7.34536492e-22,  4.50661029e-03, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-2ca30ebf-fc16-40d4-bc48-abf6cac815ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ca30ebf-fc16-40d4-bc48-abf6cac815ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3834e125-f0f8-4f34-9a5b-706305152ad0' class='xr-var-data-in' type='checkbox'><label for='data-3834e125-f0f8-4f34-9a5b-706305152ad0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_07: fa.SND_MEAN_07(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-83310c06-4d44-46d4-8a8e-eff60f07ef77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83310c06-4d44-46d4-8a8e-eff60f07ef77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9b767b-9788-4585-9d21-2da3f2aeacd8' class='xr-var-data-in' type='checkbox'><label for='data-1f9b767b-9788-4585-9d21-2da3f2aeacd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_08: fa.SND_MEAN_08(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-0916f42f-9d4e-4c0a-bef3-48db5b49cea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0916f42f-9d4e-4c0a-bef3-48db5b49cea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac7d662d-0e68-43f2-adb9-0637b5420e59' class='xr-var-data-in' type='checkbox'><label for='data-ac7d662d-0e68-43f2-adb9-0637b5420e59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_09: fa.SND_MEAN_09(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22,  3.66472307e-05,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22,  3.51115510e-05,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22],\n",
+       "       [ 9.81708680e-05, -7.34536492e-22, -7.34536492e-22,\n",
+       "         1.24564882e-06, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "         7.24352160e-04,  2.18431813e-02,  7.02767597e-03,\n",
+       "         1.54661604e-02, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22,  4.50672866e-05, -7.34536492e-22,\n",
+       "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3611 -7.345e-22 ... 0.5817 0.4031</div><input id='attrs-c2730b20-1064-4abe-afaa-7b7b48ddb169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2730b20-1064-4abe-afaa-7b7b48ddb169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06cf4764-cf4b-4027-b56c-44c0a3260ad9' class='xr-var-data-in' type='checkbox'><label for='data-06cf4764-cf4b-4027-b56c-44c0a3260ad9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_10: fa.SND_MEAN_10(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.61139143e-01, -7.34536492e-22,  2.41486332e-03,\n",
+       "         2.29913481e-02,  4.69827196e-03,  4.94546779e-06,\n",
+       "         9.05844746e-02,  4.83066363e-01,  1.33699912e-01,\n",
+       "         1.30300386e-04,  6.23410965e-04,  7.34941737e-03,\n",
+       "         1.46288737e-02, -7.34536492e-22,  3.46234867e-04,\n",
+       "         8.98279376e-03,  2.20148737e+00, -7.34536492e-22,\n",
+       "         1.19405842e-01,  5.29453153e-01,  1.82779646e-02,\n",
+       "         8.12765804e-01,  3.80211111e-01, -7.34536492e-22,\n",
+       "         5.62131621e-01,  7.17810705e-02,  3.53203728e-05,\n",
+       "         2.12440358e-01,  4.74443614e-01,  3.78229469e-02],\n",
+       "       [ 3.53039059e-01, -7.34536492e-22,  2.12471116e-03,\n",
+       "         2.11217644e-02,  4.75507148e-03,  5.59113077e-06,\n",
+       "         9.08719839e-02,  4.73565500e-01,  1.32524888e-01,\n",
+       "         3.49918899e-05,  4.01060019e-04,  5.82594665e-03,\n",
+       "         1.43570105e-02, -7.34536492e-22,  3.41517223e-04,\n",
+       "         7.18441007e-03,  2.15564576e+00, -7.34536492e-22,\n",
+       "         1.17949372e-01,  5.30136147e-01,  1.82564406e-02,\n",
+       "         7.67531161e-01,  3.76220329e-01, -7.34536492e-22,\n",
+       "         5.67001388e-01,  6.40495318e-02, -7.34536492e-22,\n",
+       "         2.12197131e-01,  4.50945143e-01,  3.88987253e-02],\n",
+       "       [ 9.71583079e-01,  1.42202276e-01,  1.07564546e-01,\n",
+       "         2.02750159e-03,  4.49523262e-04,  4.99882575e-02,\n",
+       "         2.55766768e+00,  8.64158672e-01,  6.25729920e-02,\n",
+       "         3.46245881e-01,  3.40128349e-01,  1.32841331e+00,\n",
+       "         3.63381324e-01,  2.25622383e-03,  1.12344383e-01,\n",
+       "         6.59289327e-02,  5.37784256e+00,  1.82143228e-02,\n",
+       "         8.38507987e-02,  9.84556250e-02,  1.24945707e+00,\n",
+       "         3.46299753e+00,  2.36999203e-01,  3.60352074e-03,\n",
+       "         1.07592907e-01,  5.06036683e+00,  3.10637405e-02,\n",
+       "         7.46009765e-01,  5.81707079e-01,  4.03067289e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.29 2.369 9.772 ... 1.028 7.307</div><input id='attrs-8b042a17-12e6-4d03-a393-b64fc6ee4077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b042a17-12e6-4d03-a393-b64fc6ee4077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a592acaf-2987-4fd2-8a59-3c9cda72dcfa' class='xr-var-data-in' type='checkbox'><label for='data-a592acaf-2987-4fd2-8a59-3c9cda72dcfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_11: fa.SND_MEAN_11(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.28974404,  2.36937508,  9.7720389 ,  1.36281062,  6.68074249,\n",
+       "        15.26067058,  5.21228243,  4.11255787,  9.59781013,  8.88516485,\n",
+       "         5.76484828,  2.678019  ,  3.57714025,  1.33381731,  7.40823478,\n",
+       "         6.0512239 ,  5.40612165,  1.70078805,  1.17746732,  1.92515025,\n",
+       "         2.89728804, 11.89842887,  1.26028388,  1.06339417,  3.87181501,\n",
+       "         0.34176204,  9.06606465,  2.04047627,  0.21188497,  2.43625587],\n",
+       "       [ 4.25217239,  2.35124633,  9.52005812,  1.34880915,  6.60707211,\n",
+       "        15.26330399,  5.24602963,  4.05860508,  9.58360883,  8.65972836,\n",
+       "         5.72610232,  2.61638331,  3.54660265,  1.32368575,  7.32005598,\n",
+       "         6.03748893,  5.41207684,  1.64675875,  1.18308867,  1.90990846,\n",
+       "         2.8808137 , 11.77985788,  1.23589341,  1.01893053,  3.82899964,\n",
+       "         0.33401563,  9.04767614,  1.96645463,  0.21338249,  2.39608161],\n",
+       "       [ 5.97414333,  4.59966802, 23.1985111 ,  9.37997921,  4.55986743,\n",
+       "        12.04736271,  3.86912073,  8.17806055, 12.66672599, 16.03241909,\n",
+       "         5.09612769,  4.1452475 , 12.26086094,  2.05069653, 21.58187721,\n",
+       "        13.75529997,  7.52542866,  4.96769941,  6.86803519,  7.89144901,\n",
+       "         3.19674127, 13.17395699,  9.62343612,  6.24538221,  4.4819734 ,\n",
+       "         7.26319927,  6.8354026 , 13.48799938,  1.02788522,  7.30698126]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.07 5.757 76.06 ... 36.07 52.67</div><input id='attrs-25951071-1368-46ff-b391-63582f12d36f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25951071-1368-46ff-b391-63582f12d36f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55f228eb-1e4e-4fc8-8e0e-e16c737c08be' class='xr-var-data-in' type='checkbox'><label for='data-55f228eb-1e4e-4fc8-8e0e-e16c737c08be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_12: fa.SND_MEAN_12(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[44.06703887,  5.75688701, 76.06154416, 22.82101299, 24.2308966 ,\n",
+       "        54.8072441 , 27.15328359, 11.16008122, 64.74145571, 21.53646358,\n",
+       "        18.78228845,  5.58235333, 10.96139923, 15.07888336, 69.62617761,\n",
+       "        16.66124655, 43.33014184,  5.82325247,  4.78346889, 37.19525974,\n",
+       "         6.1123358 , 33.07091552, 31.00560753, 46.19094774, 29.34704565,\n",
+       "         9.04661331, 87.02500989, 44.45698834, 26.6361908 , 30.05993666],\n",
+       "       [43.90815824,  5.65992531, 74.895354  , 22.56122924, 24.15454915,\n",
+       "        54.30642534, 27.033042  , 10.97939011, 64.58107351, 20.75330294,\n",
+       "        18.60581878,  5.46628537, 10.77684199, 14.89296842, 69.34168364,\n",
+       "        16.32096437, 43.34963994,  5.70822208,  4.70671489, 36.82452887,\n",
+       "         6.05001831, 32.55289537, 30.92817279, 45.62181825, 29.18911092,\n",
+       "         8.8825506 , 86.77019675, 43.69726554, 26.49619369, 29.86533787],\n",
+       "       [29.51847223, 13.06661127, 79.29615027, 24.60288283, 27.9573872 ,\n",
+       "        61.30020426, 29.12710498, 21.72144882, 61.384567  , 34.60395909,\n",
+       "        27.00279957, 18.24405838, 18.73304134, 15.66655512, 90.73980834,\n",
+       "        38.46063735, 36.94186856,  9.256202  , 12.63915043, 50.00984291,\n",
+       "        12.09811877, 37.83743338, 45.14734492, 80.50079781, 26.24770645,\n",
+       "        19.18730009, 74.02803973, 94.9719099 , 36.07357874, 52.66858932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.949 92.08 16.65 ... 98.4 33.31</div><input id='attrs-1f3e5991-11f5-469e-b02c-ab83c35607f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f3e5991-11f5-469e-b02c-ab83c35607f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67086f46-f4be-443e-b199-03202f47e10f' class='xr-var-data-in' type='checkbox'><label for='data-67086f46-f4be-443e-b199-03202f47e10f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:17] snd_mean_spring: fa.SND_MEAN_SPRING(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[  6.94929737,  92.07902521,  16.65099301,  68.21291963,\n",
+       "         39.99847624,  46.88460356,  44.55086586,  28.22490342,\n",
+       "         34.38158648,  55.69813485,  19.09309385,  23.83732483,\n",
+       "         39.95017306,  49.44511412,  17.85140255,  11.58839839,\n",
+       "         80.09610708,  76.19214848,  36.3930022 ,  19.24431382,\n",
+       "         85.33268523,  17.13296149,  32.33761524,  33.46821798,\n",
+       "         34.71953509,  44.50255748,  21.2216831 , 119.90551664,\n",
+       "         40.89657462,  16.81828898],\n",
+       "       [  6.62649266,  90.98717453,  16.08420995,  66.39535561,\n",
+       "         38.64957672,  46.28215088,  44.17086057,  27.26013537,\n",
+       "         33.47062654,  53.72882856,  17.40173096,  23.07393351,\n",
+       "         39.35759975,  48.41297019,  17.29683313,  10.54738617,\n",
+       "         77.73096683,  75.03673046,  34.76506634,  18.76221228,\n",
+       "         84.60721983,  16.3943705 ,  31.73941809,  32.86673828,\n",
+       "         33.47471332,  43.17654239,  20.87060944, 118.00063526,\n",
+       "         39.52261029,  16.38864988],\n",
+       "       [ 37.92107125,  85.71171342,  26.63680339,  68.60880355,\n",
+       "        104.32992857,  45.71600183,  49.9971122 ,  54.32308291,\n",
+       "         59.87632699,  68.7719816 ,  49.30233119,  84.31444334,\n",
+       "         51.45495242,  50.39309763,  15.06980094,  96.06404849,\n",
+       "        126.70253564,  44.3117917 ,  40.06098425,  17.53865324,\n",
+       "         88.36961152,  82.1938092 ,  48.8725569 ,  61.38926047,\n",
+       "         87.31866473,  90.07262672,  17.46755735,  75.05453892,\n",
+       "         98.39649583,  33.31421917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1345 0.1227 ... 0.2475 0.7276</div><input id='attrs-be0e127d-dee1-4b20-b396-4df277bb1a38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be0e127d-dee1-4b20-b396-4df277bb1a38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b1fdf59-0489-44eb-b4e8-f8236ff1e1d0' class='xr-var-data-in' type='checkbox'><label for='data-6b1fdf59-0489-44eb-b4e8-f8236ff1e1d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:19] snd_mean_summer_fall: fa.SND_MEAN_SUMMER_FALL(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[1.34531232e-01, 1.22744639e-01, 7.60463848e-01, 9.98494341e-02,\n",
+       "        7.48152511e-01, 2.90678702e-01, 2.02503069e-01, 2.57913240e-01,\n",
+       "        1.39042157e-01, 1.38078576e+00, 1.01756178e+00, 1.94433787e-01,\n",
+       "        6.06799688e-01, 2.12406757e-03, 3.24631093e-01, 8.32251382e-02,\n",
+       "        5.89300288e-01, 5.33701277e-02, 2.09365729e-01, 1.69883204e-01,\n",
+       "        3.12377290e-01, 8.82561424e-01, 2.70855774e-01, 1.50600752e-01,\n",
+       "        2.96267911e-01, 2.48216215e-02, 4.95816501e-02, 7.63976330e-02,\n",
+       "        1.07130521e-01, 3.89252829e-02],\n",
+       "       [1.32081283e-01, 1.22018208e-01, 7.45194687e-01, 9.81470561e-02,\n",
+       "        7.38992069e-01, 2.88155350e-01, 2.03973782e-01, 2.53671852e-01,\n",
+       "        1.35660491e-01, 1.35578997e+00, 1.01354406e+00, 1.87230963e-01,\n",
+       "        6.02378672e-01, 1.98903123e-03, 3.20885510e-01, 8.22323082e-02,\n",
+       "        5.81413749e-01, 5.13356682e-02, 2.10612331e-01, 1.69052789e-01,\n",
+       "        3.11581913e-01, 8.64494890e-01, 2.66495047e-01, 1.44010252e-01,\n",
+       "        2.92472316e-01, 2.14347773e-02, 4.86992463e-02, 7.57429813e-02,\n",
+       "        1.02178905e-01, 3.93947474e-02],\n",
+       "       [4.24200939e-01, 2.45863128e-01, 2.42465392e+00, 9.56617673e-01,\n",
+       "        3.90604224e-01, 7.35189905e-01, 7.84701705e-01, 1.12643069e+00,\n",
+       "        6.11746968e-01, 2.38740416e+00, 8.24693229e-01, 8.30507723e-01,\n",
+       "        1.65251868e+00, 5.85569044e-02, 1.22381776e+00, 1.21646187e+00,\n",
+       "        1.40567132e+00, 3.44280544e-01, 1.08023414e+00, 2.40350307e-01,\n",
+       "        4.70005323e-01, 2.09081029e+00, 1.40341219e+00, 6.37238254e-01,\n",
+       "        3.37184579e-01, 2.14955312e+00, 1.63679869e-01, 6.62886813e-01,\n",
+       "        2.47469193e-01, 7.27577913e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.36 47.45 15.71 ... 53.68 25.75</div><input id='attrs-7a3dd335-97c9-4f6e-a461-c370fff51341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a3dd335-97c9-4f6e-a461-c370fff51341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f12cd5-deba-4f3e-b776-ab16a791c91e' class='xr-var-data-in' type='checkbox'><label for='data-32f12cd5-deba-4f3e-b776-ab16a791c91e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:21] snd_mean_year: fa.SND_MEAN_YEAR(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[14.35830205, 47.44790804, 15.71350096, 43.45323714, 25.90669936,\n",
+       "        31.26085381, 29.30867008, 17.09767326, 24.71204082, 34.49773671,\n",
+       "        14.46472846, 12.78844991, 17.94698459, 27.29562966, 16.3752539 ,\n",
+       "        13.85337415, 38.91836041, 44.60262462, 22.04078034, 14.83959138,\n",
+       "        41.35896647, 14.67399834, 19.07510142, 24.69206264, 21.61194859,\n",
+       "        28.31279017, 17.61602628, 60.12402492, 27.49729907, 15.86073973],\n",
+       "       [14.09323764, 46.97264397, 15.35945032, 42.60606252, 25.32368733,\n",
+       "        30.95394366, 29.08968731, 16.64814114, 24.28842417, 33.55573031,\n",
+       "        13.64868256, 12.44284884, 17.63818669, 26.85498084, 16.05012534,\n",
+       "        13.33134045, 37.93279095, 44.1114058 , 21.36411657, 14.55040622,\n",
+       "        41.03019548, 14.32463839, 18.74948717, 24.37195024, 20.9663336 ,\n",
+       "        27.70367587, 17.44078268, 59.21508208, 26.83133653, 15.62159721],\n",
+       "       [29.75406142, 43.05102403, 22.16156289, 43.10196909, 49.18703107,\n",
+       "        31.11581364, 31.54322838, 30.06615788, 36.18345511, 42.57689677,\n",
+       "        28.69946958, 39.74549402, 28.84524   , 26.88577324, 18.11297123,\n",
+       "        50.59697129, 61.59489733, 25.20234371, 23.10739572, 18.60042104,\n",
+       "        43.94040622, 40.29050806, 29.74198306, 38.52664149, 48.38335705,\n",
+       "        45.88164783, 15.6945839 , 46.35936448, 53.67781098, 25.75077488]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7ffafda-81b9-4c2c-8287-babe00399b85' class='xr-section-summary-in' type='checkbox'  ><label for='section-c7ffafda-81b9-4c2c-8287-babe00399b85' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6dff23df-e6d4-4dfa-97db-752e24a760d1' class='xr-index-data-in' type='checkbox'/><label for='index-6dff23df-e6d4-4dfa-97db-752e24a760d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e725fde-6cf5-4595-a3ab-f55acffd5348' class='xr-index-data-in' type='checkbox'/><label for='index-1e725fde-6cf5-4595-a3ab-f55acffd5348' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01&#x27;, &#x27;1982-01-01&#x27;, &#x27;1983-01-01&#x27;, &#x27;1984-01-01&#x27;,\n",
+       "               &#x27;1985-01-01&#x27;, &#x27;1986-01-01&#x27;, &#x27;1987-01-01&#x27;, &#x27;1988-01-01&#x27;,\n",
+       "               &#x27;1989-01-01&#x27;, &#x27;1990-01-01&#x27;, &#x27;1991-01-01&#x27;, &#x27;1992-01-01&#x27;,\n",
+       "               &#x27;1993-01-01&#x27;, &#x27;1994-01-01&#x27;, &#x27;1995-01-01&#x27;, &#x27;1996-01-01&#x27;,\n",
+       "               &#x27;1997-01-01&#x27;, &#x27;1998-01-01&#x27;, &#x27;1999-01-01&#x27;, &#x27;2000-01-01&#x27;,\n",
+       "               &#x27;2001-01-01&#x27;, &#x27;2002-01-01&#x27;, &#x27;2003-01-01&#x27;, &#x27;2004-01-01&#x27;,\n",
+       "               &#x27;2005-01-01&#x27;, &#x27;2006-01-01&#x27;, &#x27;2007-01-01&#x27;, &#x27;2008-01-01&#x27;,\n",
+       "               &#x27;2009-01-01&#x27;, &#x27;2010-01-01&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;YS-JAN&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f855e087-b90e-4f94-89bf-973c3365692f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f855e087-b90e-4f94-89bf-973c3365692f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cat:variable :</span></dt><dd>(&#x27;tas_max_01&#x27;,)</dd><dt><span>cat:xrfreq :</span></dt><dd>YS-JAN</dd><dt><span>cat:frequency :</span></dt><dd>yr</dd><dt><span>cat:processing_level :</span></dt><dd>indicators</dd><dt><span>cat:id :</span></dt><dd></dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 54kB\n",
+       "Dimensions:               (Station: 3, time: 30)\n",
+       "Coordinates:\n",
+       "  * Station               (Station) object 24B '031501' '031502' '042103'\n",
+       "    source                <U20 80B 'era5_land_reanalysis'\n",
+       "  * time                  (time) datetime64[ns] 240B 1981-01-01 ... 2010-01-01\n",
+       "Data variables: (12/75)\n",
+       "    tas_max_01            (Station, time) float64 720B 5.1 3.616 ... 3.161\n",
+       "    tas_max_02            (Station, time) float64 720B 13.23 1.781 ... 3.544\n",
+       "    tas_max_03            (Station, time) float64 720B 11.61 10.72 ... 12.78\n",
+       "    tas_max_04            (Station, time) float64 720B 19.4 20.66 ... 25.98\n",
+       "    tas_max_05            (Station, time) float64 720B 24.39 28.17 ... 32.24\n",
+       "    tas_max_06            (Station, time) float64 720B 29.32 28.33 ... 25.42\n",
+       "    ...                    ...\n",
+       "    snd_mean_10           (Station, time) float64 720B 0.3611 ... 0.4031\n",
+       "    snd_mean_11           (Station, time) float64 720B 4.29 2.369 ... 7.307\n",
+       "    snd_mean_12           (Station, time) float64 720B 44.07 5.757 ... 52.67\n",
+       "    snd_mean_spring       (Station, time) float64 720B 6.949 92.08 ... 33.31\n",
+       "    snd_mean_summer_fall  (Station, time) float64 720B 0.1345 0.1227 ... 0.7276\n",
+       "    snd_mean_year         (Station, time) float64 720B 14.36 47.45 ... 25.75\n",
+       "Attributes:\n",
+       "    cat:variable:          ('tas_max_01',)\n",
+       "    cat:xrfreq:            YS-JAN\n",
+       "    cat:frequency:         yr\n",
+       "    cat:processing_level:  indicators\n",
+       "    cat:id:                "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds_climatology = xr.merge(\n",
     "    [\n",
@@ -422,9 +4138,659 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Station</th>\n",
+       "      <th>031501</th>\n",
+       "      <th>031502</th>\n",
+       "      <th>042103</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>source</th>\n",
+       "      <td>era5_land_reanalysis</td>\n",
+       "      <td>era5_land_reanalysis</td>\n",
+       "      <td>era5_land_reanalysis</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_01</th>\n",
+       "      <td>5.79328</td>\n",
+       "      <td>5.83979</td>\n",
+       "      <td>3.640586</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_02</th>\n",
+       "      <td>5.709544</td>\n",
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+       "    <tr>\n",
+       "      <th>tas_max_03</th>\n",
+       "      <td>12.451726</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_04</th>\n",
+       "      <td>21.224634</td>\n",
+       "      <td>21.254693</td>\n",
+       "      <td>19.973493</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_05</th>\n",
+       "      <td>26.618743</td>\n",
+       "      <td>26.62262</td>\n",
+       "      <td>25.819365</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_06</th>\n",
+       "      <td>29.915254</td>\n",
+       "      <td>29.914234</td>\n",
+       "      <td>28.824476</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_07</th>\n",
+       "      <td>30.538177</td>\n",
+       "      <td>30.541674</td>\n",
+       "      <td>29.448428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_08</th>\n",
+       "      <td>29.401676</td>\n",
+       "      <td>29.396607</td>\n",
+       "      <td>28.537646</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_09</th>\n",
+       "      <td>26.409743</td>\n",
+       "      <td>26.420074</td>\n",
+       "      <td>25.724547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_10</th>\n",
+       "      <td>20.433635</td>\n",
+       "      <td>20.457859</td>\n",
+       "      <td>19.723571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_11</th>\n",
+       "      <td>14.840299</td>\n",
+       "      <td>14.884756</td>\n",
+       "      <td>11.896061</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_12</th>\n",
+       "      <td>7.110035</td>\n",
+       "      <td>7.155206</td>\n",
+       "      <td>5.333868</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_spring</th>\n",
+       "      <td>29.27284</td>\n",
+       "      <td>29.27054</td>\n",
+       "      <td>28.397473</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_summer_fall</th>\n",
+       "      <td>31.171837</td>\n",
+       "      <td>31.172982</td>\n",
+       "      <td>30.377644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_max_year</th>\n",
+       "      <td>31.373761</td>\n",
+       "      <td>31.372966</td>\n",
+       "      <td>30.683164</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_01</th>\n",
+       "      <td>-11.098958</td>\n",
+       "      <td>-11.070966</td>\n",
+       "      <td>-12.603846</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_02</th>\n",
+       "      <td>-8.575376</td>\n",
+       "      <td>-8.555364</td>\n",
+       "      <td>-10.618004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_03</th>\n",
+       "      <td>-3.011887</td>\n",
+       "      <td>-2.994205</td>\n",
+       "      <td>-5.155519</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_04</th>\n",
+       "      <td>5.168779</td>\n",
+       "      <td>5.193515</td>\n",
+       "      <td>2.977892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_05</th>\n",
+       "      <td>12.849464</td>\n",
+       "      <td>12.856895</td>\n",
+       "      <td>10.543722</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_06</th>\n",
+       "      <td>18.246934</td>\n",
+       "      <td>18.250927</td>\n",
+       "      <td>15.93364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_07</th>\n",
+       "      <td>20.60195</td>\n",
+       "      <td>20.605273</td>\n",
+       "      <td>18.610954</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_08</th>\n",
+       "      <td>19.556622</td>\n",
+       "      <td>19.560292</td>\n",
+       "      <td>17.645789</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_09</th>\n",
+       "      <td>15.100446</td>\n",
+       "      <td>15.109986</td>\n",
+       "      <td>13.367451</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_10</th>\n",
+       "      <td>8.060541</td>\n",
+       "      <td>8.074052</td>\n",
+       "      <td>6.448969</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_11</th>\n",
+       "      <td>1.330069</td>\n",
+       "      <td>1.348995</td>\n",
+       "      <td>-0.077759</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_12</th>\n",
+       "      <td>-6.698234</td>\n",
+       "      <td>-6.672344</td>\n",
+       "      <td>-7.776868</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_spring</th>\n",
+       "      <td>5.031998</td>\n",
+       "      <td>5.047103</td>\n",
+       "      <td>2.825004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_summer_fall</th>\n",
+       "      <td>14.466165</td>\n",
+       "      <td>14.474516</td>\n",
+       "      <td>12.628117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_mean_year</th>\n",
+       "      <td>6.028106</td>\n",
+       "      <td>6.042794</td>\n",
+       "      <td>4.177412</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_01</th>\n",
+       "      <td>-28.778872</td>\n",
+       "      <td>-28.809396</td>\n",
+       "      <td>-30.041543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_02</th>\n",
+       "      <td>-25.183904</td>\n",
+       "      <td>-25.231202</td>\n",
+       "      <td>-26.180241</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_03</th>\n",
+       "      <td>-20.468419</td>\n",
+       "      <td>-20.494124</td>\n",
+       "      <td>-22.264767</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_04</th>\n",
+       "      <td>-7.592577</td>\n",
+       "      <td>-7.580951</td>\n",
+       "      <td>-10.628039</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_05</th>\n",
+       "      <td>1.642597</td>\n",
+       "      <td>1.65338</td>\n",
+       "      <td>-1.659695</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_06</th>\n",
+       "      <td>8.113888</td>\n",
+       "      <td>8.126952</td>\n",
+       "      <td>4.091024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_07</th>\n",
+       "      <td>12.12059</td>\n",
+       "      <td>12.114125</td>\n",
+       "      <td>9.005369</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_08</th>\n",
+       "      <td>10.297272</td>\n",
+       "      <td>10.30083</td>\n",
+       "      <td>8.655322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_09</th>\n",
+       "      <td>4.89994</td>\n",
+       "      <td>4.900005</td>\n",
+       "      <td>3.395228</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_10</th>\n",
+       "      <td>-1.616498</td>\n",
+       "      <td>-1.610984</td>\n",
+       "      <td>-2.296447</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_11</th>\n",
+       "      <td>-11.544179</td>\n",
+       "      <td>-11.551885</td>\n",
+       "      <td>-9.818372</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_12</th>\n",
+       "      <td>-24.749929</td>\n",
+       "      <td>-24.769652</td>\n",
+       "      <td>-25.083827</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_spring</th>\n",
+       "      <td>-24.09364</td>\n",
+       "      <td>-24.113668</td>\n",
+       "      <td>-25.060736</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_summer_fall</th>\n",
+       "      <td>-6.582494</td>\n",
+       "      <td>-6.571843</td>\n",
+       "      <td>-7.22109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tas_min_year</th>\n",
+       "      <td>-30.032823</td>\n",
+       "      <td>-30.080185</td>\n",
+       "      <td>-31.024786</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_01</th>\n",
+       "      <td>79.061732</td>\n",
+       "      <td>79.090602</td>\n",
+       "      <td>63.558415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_02</th>\n",
+       "      <td>66.888931</td>\n",
+       "      <td>66.917058</td>\n",
+       "      <td>51.602254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_03</th>\n",
+       "      <td>76.444733</td>\n",
+       "      <td>76.478452</td>\n",
+       "      <td>64.438532</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_04</th>\n",
+       "      <td>93.790183</td>\n",
+       "      <td>93.890757</td>\n",
+       "      <td>71.526317</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_05</th>\n",
+       "      <td>99.64739</td>\n",
+       "      <td>99.727621</td>\n",
+       "      <td>86.51231</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_06</th>\n",
+       "      <td>110.389847</td>\n",
+       "      <td>110.467514</td>\n",
+       "      <td>89.062977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_07</th>\n",
+       "      <td>118.354004</td>\n",
+       "      <td>118.343317</td>\n",
+       "      <td>96.532123</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_08</th>\n",
+       "      <td>108.421897</td>\n",
+       "      <td>108.597886</td>\n",
+       "      <td>96.009423</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_09</th>\n",
+       "      <td>105.164435</td>\n",
+       "      <td>105.113248</td>\n",
+       "      <td>100.346083</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_10</th>\n",
+       "      <td>104.317676</td>\n",
+       "      <td>104.318942</td>\n",
+       "      <td>96.030414</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_11</th>\n",
+       "      <td>105.9594</td>\n",
+       "      <td>105.997777</td>\n",
+       "      <td>94.391328</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_12</th>\n",
+       "      <td>92.276419</td>\n",
+       "      <td>92.311662</td>\n",
+       "      <td>72.925842</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_spring</th>\n",
+       "      <td>376.994477</td>\n",
+       "      <td>377.308115</td>\n",
+       "      <td>310.340259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_summer_fall</th>\n",
+       "      <td>552.196939</td>\n",
+       "      <td>552.293122</td>\n",
+       "      <td>488.178244</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pr_sum_year</th>\n",
+       "      <td>1160.716646</td>\n",
+       "      <td>1161.254838</td>\n",
+       "      <td>982.936018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_01</th>\n",
+       "      <td>67.3871</td>\n",
+       "      <td>66.592959</td>\n",
+       "      <td>79.101277</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_02</th>\n",
+       "      <td>95.084661</td>\n",
+       "      <td>93.688919</td>\n",
+       "      <td>113.425968</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_03</th>\n",
+       "      <td>95.804241</td>\n",
+       "      <td>93.601279</td>\n",
+       "      <td>130.332078</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_04</th>\n",
+       "      <td>20.813106</td>\n",
+       "      <td>19.620342</td>\n",
+       "      <td>59.455446</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_05</th>\n",
+       "      <td>0.02517</td>\n",
+       "      <td>0.021946</td>\n",
+       "      <td>0.88963</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_06</th>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>0.003253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_07</th>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_08</th>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_09</th>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.001507</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_10</th>\n",
+       "      <td>0.218364</td>\n",
+       "      <td>0.213499</td>\n",
+       "      <td>0.825938</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_11</th>\n",
+       "      <td>4.655122</td>\n",
+       "      <td>4.610496</td>\n",
+       "      <td>8.643051</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_12</th>\n",
+       "      <td>30.770399</td>\n",
+       "      <td>30.495989</td>\n",
+       "      <td>39.301119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_spring</th>\n",
+       "      <td>41.788584</td>\n",
+       "      <td>40.769412</td>\n",
+       "      <td>61.98516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_summer_fall</th>\n",
+       "      <td>0.319896</td>\n",
+       "      <td>0.315362</td>\n",
+       "      <td>0.928477</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>snd_mean_year</th>\n",
+       "      <td>25.923512</td>\n",
+       "      <td>25.435699</td>\n",
+       "      <td>35.612642</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Station                             031501                031502  \\\n",
+       "source                era5_land_reanalysis  era5_land_reanalysis   \n",
+       "tas_max_01                         5.79328               5.83979   \n",
+       "tas_max_02                        5.709544               5.74949   \n",
+       "tas_max_03                       12.451726             12.531728   \n",
+       "tas_max_04                       21.224634             21.254693   \n",
+       "tas_max_05                       26.618743              26.62262   \n",
+       "tas_max_06                       29.915254             29.914234   \n",
+       "tas_max_07                       30.538177             30.541674   \n",
+       "tas_max_08                       29.401676             29.396607   \n",
+       "tas_max_09                       26.409743             26.420074   \n",
+       "tas_max_10                       20.433635             20.457859   \n",
+       "tas_max_11                       14.840299             14.884756   \n",
+       "tas_max_12                        7.110035              7.155206   \n",
+       "tas_max_spring                    29.27284              29.27054   \n",
+       "tas_max_summer_fall              31.171837             31.172982   \n",
+       "tas_max_year                     31.373761             31.372966   \n",
+       "tas_mean_01                     -11.098958            -11.070966   \n",
+       "tas_mean_02                      -8.575376             -8.555364   \n",
+       "tas_mean_03                      -3.011887             -2.994205   \n",
+       "tas_mean_04                       5.168779              5.193515   \n",
+       "tas_mean_05                      12.849464             12.856895   \n",
+       "tas_mean_06                      18.246934             18.250927   \n",
+       "tas_mean_07                       20.60195             20.605273   \n",
+       "tas_mean_08                      19.556622             19.560292   \n",
+       "tas_mean_09                      15.100446             15.109986   \n",
+       "tas_mean_10                       8.060541              8.074052   \n",
+       "tas_mean_11                       1.330069              1.348995   \n",
+       "tas_mean_12                      -6.698234             -6.672344   \n",
+       "tas_mean_spring                   5.031998              5.047103   \n",
+       "tas_mean_summer_fall             14.466165             14.474516   \n",
+       "tas_mean_year                     6.028106              6.042794   \n",
+       "tas_min_01                      -28.778872            -28.809396   \n",
+       "tas_min_02                      -25.183904            -25.231202   \n",
+       "tas_min_03                      -20.468419            -20.494124   \n",
+       "tas_min_04                       -7.592577             -7.580951   \n",
+       "tas_min_05                        1.642597               1.65338   \n",
+       "tas_min_06                        8.113888              8.126952   \n",
+       "tas_min_07                        12.12059             12.114125   \n",
+       "tas_min_08                       10.297272              10.30083   \n",
+       "tas_min_09                         4.89994              4.900005   \n",
+       "tas_min_10                       -1.616498             -1.610984   \n",
+       "tas_min_11                      -11.544179            -11.551885   \n",
+       "tas_min_12                      -24.749929            -24.769652   \n",
+       "tas_min_spring                   -24.09364            -24.113668   \n",
+       "tas_min_summer_fall              -6.582494             -6.571843   \n",
+       "tas_min_year                    -30.032823            -30.080185   \n",
+       "pr_sum_01                        79.061732             79.090602   \n",
+       "pr_sum_02                        66.888931             66.917058   \n",
+       "pr_sum_03                        76.444733             76.478452   \n",
+       "pr_sum_04                        93.790183             93.890757   \n",
+       "pr_sum_05                         99.64739             99.727621   \n",
+       "pr_sum_06                       110.389847            110.467514   \n",
+       "pr_sum_07                       118.354004            118.343317   \n",
+       "pr_sum_08                       108.421897            108.597886   \n",
+       "pr_sum_09                       105.164435            105.113248   \n",
+       "pr_sum_10                       104.317676            104.318942   \n",
+       "pr_sum_11                         105.9594            105.997777   \n",
+       "pr_sum_12                        92.276419             92.311662   \n",
+       "pr_sum_spring                   376.994477            377.308115   \n",
+       "pr_sum_summer_fall              552.196939            552.293122   \n",
+       "pr_sum_year                    1160.716646           1161.254838   \n",
+       "snd_mean_01                        67.3871             66.592959   \n",
+       "snd_mean_02                      95.084661             93.688919   \n",
+       "snd_mean_03                      95.804241             93.601279   \n",
+       "snd_mean_04                      20.813106             19.620342   \n",
+       "snd_mean_05                        0.02517              0.021946   \n",
+       "snd_mean_06                           -0.0                  -0.0   \n",
+       "snd_mean_07                           -0.0                  -0.0   \n",
+       "snd_mean_08                           -0.0                  -0.0   \n",
+       "snd_mean_09                       0.000001              0.000001   \n",
+       "snd_mean_10                       0.218364              0.213499   \n",
+       "snd_mean_11                       4.655122              4.610496   \n",
+       "snd_mean_12                      30.770399             30.495989   \n",
+       "snd_mean_spring                  41.788584             40.769412   \n",
+       "snd_mean_summer_fall              0.319896              0.315362   \n",
+       "snd_mean_year                    25.923512             25.435699   \n",
+       "\n",
+       "Station                             042103  \n",
+       "source                era5_land_reanalysis  \n",
+       "tas_max_01                        3.640586  \n",
+       "tas_max_02                        4.044133  \n",
+       "tas_max_03                       10.525447  \n",
+       "tas_max_04                       19.973493  \n",
+       "tas_max_05                       25.819365  \n",
+       "tas_max_06                       28.824476  \n",
+       "tas_max_07                       29.448428  \n",
+       "tas_max_08                       28.537646  \n",
+       "tas_max_09                       25.724547  \n",
+       "tas_max_10                       19.723571  \n",
+       "tas_max_11                       11.896061  \n",
+       "tas_max_12                        5.333868  \n",
+       "tas_max_spring                   28.397473  \n",
+       "tas_max_summer_fall              30.377644  \n",
+       "tas_max_year                     30.683164  \n",
+       "tas_mean_01                     -12.603846  \n",
+       "tas_mean_02                     -10.618004  \n",
+       "tas_mean_03                      -5.155519  \n",
+       "tas_mean_04                       2.977892  \n",
+       "tas_mean_05                      10.543722  \n",
+       "tas_mean_06                       15.93364  \n",
+       "tas_mean_07                      18.610954  \n",
+       "tas_mean_08                      17.645789  \n",
+       "tas_mean_09                      13.367451  \n",
+       "tas_mean_10                       6.448969  \n",
+       "tas_mean_11                      -0.077759  \n",
+       "tas_mean_12                      -7.776868  \n",
+       "tas_mean_spring                   2.825004  \n",
+       "tas_mean_summer_fall             12.628117  \n",
+       "tas_mean_year                     4.177412  \n",
+       "tas_min_01                      -30.041543  \n",
+       "tas_min_02                      -26.180241  \n",
+       "tas_min_03                      -22.264767  \n",
+       "tas_min_04                      -10.628039  \n",
+       "tas_min_05                       -1.659695  \n",
+       "tas_min_06                        4.091024  \n",
+       "tas_min_07                        9.005369  \n",
+       "tas_min_08                        8.655322  \n",
+       "tas_min_09                        3.395228  \n",
+       "tas_min_10                       -2.296447  \n",
+       "tas_min_11                       -9.818372  \n",
+       "tas_min_12                      -25.083827  \n",
+       "tas_min_spring                  -25.060736  \n",
+       "tas_min_summer_fall               -7.22109  \n",
+       "tas_min_year                    -31.024786  \n",
+       "pr_sum_01                        63.558415  \n",
+       "pr_sum_02                        51.602254  \n",
+       "pr_sum_03                        64.438532  \n",
+       "pr_sum_04                        71.526317  \n",
+       "pr_sum_05                         86.51231  \n",
+       "pr_sum_06                        89.062977  \n",
+       "pr_sum_07                        96.532123  \n",
+       "pr_sum_08                        96.009423  \n",
+       "pr_sum_09                       100.346083  \n",
+       "pr_sum_10                        96.030414  \n",
+       "pr_sum_11                        94.391328  \n",
+       "pr_sum_12                        72.925842  \n",
+       "pr_sum_spring                   310.340259  \n",
+       "pr_sum_summer_fall              488.178244  \n",
+       "pr_sum_year                     982.936018  \n",
+       "snd_mean_01                      79.101277  \n",
+       "snd_mean_02                     113.425968  \n",
+       "snd_mean_03                     130.332078  \n",
+       "snd_mean_04                      59.455446  \n",
+       "snd_mean_05                        0.88963  \n",
+       "snd_mean_06                       0.003253  \n",
+       "snd_mean_07                           -0.0  \n",
+       "snd_mean_08                           -0.0  \n",
+       "snd_mean_09                       0.001507  \n",
+       "snd_mean_10                       0.825938  \n",
+       "snd_mean_11                       8.643051  \n",
+       "snd_mean_12                      39.301119  \n",
+       "snd_mean_spring                   61.98516  \n",
+       "snd_mean_summer_fall              0.928477  \n",
+       "snd_mean_year                    35.612642  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "pd.set_option(\"display.max_rows\", 100)\n",
     "ds_climatology.mean(\"time\").to_dataframe().T"

From 1ac65d393780a57b55009e93634e72deb9c6b9d8 Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 23:36:11 -0400
Subject: [PATCH 11/14] change notebook cell for faster tests

---
 docs/notebooks/gis.ipynb | 302 +++++++++++++++++++--------------------
 1 file changed, 151 insertions(+), 151 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index 8b41c65d..ddc9c1ad 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,13 +47,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ae8f2bc0342c4ad1a4c7647294560113",
+       "model_id": "f61cf6c8bb764084a4b509700285e9f9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -61,7 +61,7 @@
        "Map(center=[48.63, -74.71], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_…"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -205,7 +205,7 @@
        "2  POLYGON ((-73.77437 43.36757, -73.77557 43.388...         1  #ffffd9  "
       ]
      },
-     "execution_count": 20,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -224,7 +224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -248,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -307,7 +307,7 @@
        "2  042103  579.479614  POLYGON ((-78.49014 46.64514, -78.49010 46.645..."
       ]
      },
-     "execution_count": 22,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -351,7 +351,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -427,7 +427,7 @@
        "2  (-78.37036445281987, 46.48287117609677)  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -445,7 +445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -822,9 +822,9 @@
        "    area       (Station) float64 24B 2.187e+07 1.571e+07 5.795e+08\n",
        "    perimeter  (Station) float64 24B 2.719e+04 2.026e+04 2.838e+05\n",
        "    gravelius  (Station) float64 24B 1.64 1.442 3.325\n",
-       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-389c7801-c09d-4923-a558-5a345a29072b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-389c7801-c09d-4923-a558-5a345a29072b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-860f5f5d-20b3-4e19-bfde-f950f0c2f7e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-860f5f5d-20b3-4e19-bfde-f950f0c2f7e2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-85515a29-d293-4ee5-8b04-7f7dc2fee27a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85515a29-d293-4ee5-8b04-7f7dc2fee27a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b3162a-4600-4465-968c-9b240f805415' class='xr-var-data-in' type='checkbox'><label for='data-f3b3162a-4600-4465-968c-9b240f805415' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-94f7ed52-133e-411b-82b0-1e6af2aacd3a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94f7ed52-133e-411b-82b0-1e6af2aacd3a' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-14594540-f8db-4dd3-9306-e98472bdb2bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14594540-f8db-4dd3-9306-e98472bdb2bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e88e22ac-6b61-4fa4-abd3-8a726636aeb9' class='xr-var-data-in' type='checkbox'><label for='data-e88e22ac-6b61-4fa4-abd3-8a726636aeb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-54fa5991-4c2c-4f9e-b1a8-bf149637f8d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54fa5991-4c2c-4f9e-b1a8-bf149637f8d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-089abb34-eaa4-4235-9379-c8854ffc6489' class='xr-var-data-in' type='checkbox'><label for='data-089abb34-eaa4-4235-9379-c8854ffc6489' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-9e049a9c-7db5-4935-b14d-d8c63c0f6168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e049a9c-7db5-4935-b14d-d8c63c0f6168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f13f11f-7622-4311-a324-2f799f424473' class='xr-var-data-in' type='checkbox'><label for='data-8f13f11f-7622-4311-a324-2f799f424473' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-035dcc72-c820-4186-a14e-87834df3888a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-035dcc72-c820-4186-a14e-87834df3888a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c65539-a1da-4c45-8653-9ea9b243de82' class='xr-var-data-in' type='checkbox'><label for='data-d6c65539-a1da-4c45-8653-9ea9b243de82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
+       "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-014ee86f-1ca6-4bbf-8281-795309bae9a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-014ee86f-1ca6-4bbf-8281-795309bae9a5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2ad438fb-7481-454a-9e33-af6b09fa0b40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ad438fb-7481-454a-9e33-af6b09fa0b40' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-ded99dac-ec71-40f1-a272-0cbad16ccfe6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ded99dac-ec71-40f1-a272-0cbad16ccfe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c8a1b2d-127a-4d22-98cb-3addc4230877' class='xr-var-data-in' type='checkbox'><label for='data-3c8a1b2d-127a-4d22-98cb-3addc4230877' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f8a3f6d-78e0-402e-a922-3bd16c99b4ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f8a3f6d-78e0-402e-a922-3bd16c99b4ae' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.187e+07 1.571e+07 5.795e+08</div><input id='attrs-1c24cc7e-63e0-4aa4-b7bb-a41af63aa5e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c24cc7e-63e0-4aa4-b7bb-a41af63aa5e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54950ed7-59e6-4c07-8db1-06b1cea15de3' class='xr-var-data-in' type='checkbox'><label for='data-54950ed7-59e6-4c07-8db1-06b1cea15de3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([2.18686190e+07, 1.57089594e+07, 5.79479640e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perimeter</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.719e+04 2.026e+04 2.838e+05</div><input id='attrs-529c1ea9-7c5e-41dd-8788-b23f66b2e5c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-529c1ea9-7c5e-41dd-8788-b23f66b2e5c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42fc3466-85b2-4b65-84c9-c1af54e28d94' class='xr-var-data-in' type='checkbox'><label for='data-42fc3466-85b2-4b65-84c9-c1af54e28d94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 27186.99684456,  20263.29302087, 283765.0583903 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravelius</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.64 1.442 3.325</div><input id='attrs-56a01fa1-2bb0-4055-b0b2-6c0b1415d494' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56a01fa1-2bb0-4055-b0b2-6c0b1415d494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b60ec17-717a-437a-ac1b-247e08a79091' class='xr-var-data-in' type='checkbox'><label for='data-1b60ec17-717a-437a-ac1b-247e08a79091' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/m</dd></dl></div><div class='xr-var-data'><pre>array([1.64000671, 1.44221957, 3.3253311 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centroid</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-72.48631199105834, 46.22277542...</div><input id='attrs-84b48252-ab22-41d4-b491-cd42c5748711' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84b48252-ab22-41d4-b491-cd42c5748711' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aef682bd-7e9b-4f5c-8f2b-0ca7a5f5da3d' class='xr-var-data-in' type='checkbox'><label for='data-aef682bd-7e9b-4f5c-8f2b-0ca7a5f5da3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(&#x27;degree_east&#x27;, &#x27;degree_north&#x27;)</dd></dl></div><div class='xr-var-data'><pre>array([(-72.48631199105834, 46.22277542928622),\n",
        "       (-72.47966677792694, 46.21359517038631),\n",
-       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f57cd516-d93c-4806-a571-62d8d925109b' class='xr-section-summary-in' type='checkbox'  ><label for='section-f57cd516-d93c-4806-a571-62d8d925109b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eccf5091-9400-41ba-b5d1-e79d6d1d8bd7' class='xr-index-data-in' type='checkbox'/><label for='index-eccf5091-9400-41ba-b5d1-e79d6d1d8bd7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ee13ac0-0a8e-45b6-9b0a-a73ed1e71f14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ee13ac0-0a8e-45b6-9b0a-a73ed1e71f14' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       (-78.37036445281987, 46.48287117609677)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26ce6fef-97af-4e18-995b-4cf979715374' class='xr-section-summary-in' type='checkbox'  ><label for='section-26ce6fef-97af-4e18-995b-4cf979715374' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea57099c-b929-4444-a6da-8a777cffa9df' class='xr-index-data-in' type='checkbox'/><label for='index-ea57099c-b929-4444-a6da-8a777cffa9df' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-904a6c48-b9ec-4105-a45e-451a7fac3d0b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-904a6c48-b9ec-4105-a45e-451a7fac3d0b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 120B\n",
@@ -838,7 +838,7 @@
        "    centroid   (Station) object 24B (-72.48631199105834, 46.22277542928622) ...."
       ]
      },
-     "execution_count": 24,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -851,7 +851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -878,11 +878,11 @@
        "      <th>elevation</th>\n",
        "      <th>slope</th>\n",
        "      <th>aspect</th>\n",
-       "      <th>time</th>\n",
        "      <th>platform</th>\n",
-       "      <th>gsd</th>\n",
-       "      <th>proj:shape</th>\n",
        "      <th>band</th>\n",
+       "      <th>proj:shape</th>\n",
+       "      <th>gsd</th>\n",
+       "      <th>time</th>\n",
        "      <th>epsg</th>\n",
        "      <th>proj:epsg</th>\n",
        "      <th>spatial_ref</th>\n",
@@ -908,11 +908,11 @@
        "      <td>33.573009</td>\n",
        "      <td>0.324613</td>\n",
        "      <td>239.025970</td>\n",
-       "      <td>2021-04-22</td>\n",
        "      <td>TanDEM-X</td>\n",
-       "      <td>90</td>\n",
-       "      <td>{1200}</td>\n",
        "      <td>data</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>90</td>\n",
+       "      <td>2021-04-22</td>\n",
        "      <td>4326</td>\n",
        "      <td>4326</td>\n",
        "      <td>0</td>\n",
@@ -922,11 +922,11 @@
        "      <td>51.393295</td>\n",
        "      <td>0.518484</td>\n",
        "      <td>242.431335</td>\n",
-       "      <td>2021-04-22</td>\n",
        "      <td>TanDEM-X</td>\n",
-       "      <td>90</td>\n",
-       "      <td>{1200}</td>\n",
        "      <td>data</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>90</td>\n",
+       "      <td>2021-04-22</td>\n",
        "      <td>4326</td>\n",
        "      <td>4326</td>\n",
        "      <td>0</td>\n",
@@ -936,11 +936,11 @@
        "      <td>358.549866</td>\n",
        "      <td>2.500644</td>\n",
        "      <td>178.557648</td>\n",
-       "      <td>2021-04-22</td>\n",
        "      <td>TanDEM-X</td>\n",
-       "      <td>90</td>\n",
-       "      <td>{1200}</td>\n",
        "      <td>data</td>\n",
+       "      <td>{1200}</td>\n",
+       "      <td>90</td>\n",
+       "      <td>2021-04-22</td>\n",
        "      <td>4326</td>\n",
        "      <td>4326</td>\n",
        "      <td>0</td>\n",
@@ -950,20 +950,20 @@
        "</div>"
       ],
       "text/plain": [
-       "           elevation     slope      aspect       time  platform  gsd  \\\n",
-       "geometry                                                               \n",
-       "0          33.573009  0.324613  239.025970 2021-04-22  TanDEM-X   90   \n",
-       "1          51.393295  0.518484  242.431335 2021-04-22  TanDEM-X   90   \n",
-       "2         358.549866  2.500644  178.557648 2021-04-22  TanDEM-X   90   \n",
-       "\n",
-       "         proj:shape  band  epsg  proj:epsg  spatial_ref  \n",
-       "geometry                                                 \n",
-       "0            {1200}  data  4326       4326            0  \n",
-       "1            {1200}  data  4326       4326            0  \n",
-       "2            {1200}  data  4326       4326            0  "
+       "           elevation     slope      aspect  platform  band proj:shape  gsd  \\\n",
+       "geometry                                                                     \n",
+       "0          33.573009  0.324613  239.025970  TanDEM-X  data     {1200}   90   \n",
+       "1          51.393295  0.518484  242.431335  TanDEM-X  data     {1200}   90   \n",
+       "2         358.549866  2.500644  178.557648  TanDEM-X  data     {1200}   90   \n",
+       "\n",
+       "               time  epsg  proj:epsg  spatial_ref  \n",
+       "geometry                                           \n",
+       "0        2021-04-22  4326       4326            0  \n",
+       "1        2021-04-22  4326       4326            0  \n",
+       "2        2021-04-22  4326       4326            0  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -974,7 +974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1346,11 +1346,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 180B\n",
        "Dimensions:      (Station: 3)\n",
        "Coordinates:\n",
-       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    platform     &lt;U8 32B &#x27;TanDEM-X&#x27;\n",
-       "    gsd          int64 8B 90\n",
-       "    proj:shape   object 8B {1200}\n",
        "    band         &lt;U4 16B &#x27;data&#x27;\n",
+       "    proj:shape   object 8B {1200}\n",
+       "    gsd          int64 8B 90\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    epsg         int64 8B 4326\n",
        "    proj:epsg    int64 8B 4326\n",
        "    spatial_ref  int64 8B 0\n",
@@ -1363,20 +1363,20 @@
        "Attributes:\n",
        "    spec:        RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72....\n",
        "    resolution:  0.0008333333333333334\n",
-       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2e404105-8edb-49be-8f09-206e4c618e3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e404105-8edb-49be-8f09-206e4c618e3c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7c7105df-25f0-4717-91cd-0f677a0b7c63' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c7105df-25f0-4717-91cd-0f677a0b7c63' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-f41ec4e5-ae88-4389-8dbe-47d50612e3bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f41ec4e5-ae88-4389-8dbe-47d50612e3bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16ec2a42-b47c-4fab-9a61-ef9bae9c879c' class='xr-var-data-in' type='checkbox'><label for='data-16ec2a42-b47c-4fab-9a61-ef9bae9c879c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-fe1b6b4f-aa9d-4887-bac6-cdf8ffedd1a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe1b6b4f-aa9d-4887-bac6-cdf8ffedd1a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89e69819-d73c-4d29-adbf-1e72f736a709' class='xr-var-data-in' type='checkbox'><label for='data-89e69819-d73c-4d29-adbf-1e72f736a709' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-be794f65-e218-47a9-a640-adc035eb8565' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be794f65-e218-47a9-a640-adc035eb8565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9351c094-727b-446c-831c-edd73e259ce9' class='xr-var-data-in' type='checkbox'><label for='data-9351c094-727b-446c-831c-edd73e259ce9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-0c0671c0-babb-4183-93f8-f91ce0cc47a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c0671c0-babb-4183-93f8-f91ce0cc47a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76a4ee2d-e877-4126-a0be-9e17a5729983' class='xr-var-data-in' type='checkbox'><label for='data-76a4ee2d-e877-4126-a0be-9e17a5729983' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-fcd74821-7cf0-449e-bbec-b79dad78d43b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcd74821-7cf0-449e-bbec-b79dad78d43b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebafba48-1b3e-4b5a-9995-95c801ef9b88' class='xr-var-data-in' type='checkbox'><label for='data-ebafba48-1b3e-4b5a-9995-95c801ef9b88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-73a65bed-1d93-4be9-99d2-62a74327c985' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73a65bed-1d93-4be9-99d2-62a74327c985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66d754c4-990f-4c4e-aa39-19c6f676c035' class='xr-var-data-in' type='checkbox'><label for='data-66d754c4-990f-4c4e-aa39-19c6f676c035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-e05dc632-bf16-4b5e-b21b-5cc24764905f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e05dc632-bf16-4b5e-b21b-5cc24764905f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99f60394-1520-453c-bd75-f5233547081f' class='xr-var-data-in' type='checkbox'><label for='data-99f60394-1520-453c-bd75-f5233547081f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1bb9a911-ad20-46a7-a73f-eb3063bae338' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bb9a911-ad20-46a7-a73f-eb3063bae338' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9226f475-f423-41b5-85de-c1ac54ce6354' class='xr-var-data-in' type='checkbox'><label for='data-9226f475-f423-41b5-85de-c1ac54ce6354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-660a0242-e056-471c-b653-84d844269011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-660a0242-e056-471c-b653-84d844269011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a8655e4-4680-4081-93d1-cec71aa8f467' class='xr-var-data-in' type='checkbox'><label for='data-4a8655e4-4680-4081-93d1-cec71aa8f467' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
+       "    _FillValue:  1.7976931348623157e+308</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cce570d0-b25c-4721-852a-bdb308fd76ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cce570d0-b25c-4721-852a-bdb308fd76ee' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5077880b-f330-4b5e-8b98-d572e768ebbe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5077880b-f330-4b5e-8b98-d572e768ebbe' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;TanDEM-X&#x27;</div><input id='attrs-6cbcc12f-9bbb-4dd9-a02d-087abd5c1515' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6cbcc12f-9bbb-4dd9-a02d-087abd5c1515' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87b29e53-da42-44e9-8537-69259bf96226' class='xr-var-data-in' type='checkbox'><label for='data-87b29e53-da42-44e9-8537-69259bf96226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;TanDEM-X&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;data&#x27;</div><input id='attrs-a7f29c7d-2728-4cf8-abd0-07cc2a77e823' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7f29c7d-2728-4cf8-abd0-07cc2a77e823' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64195194-6213-4be7-97a9-71ba600fd4d1' class='xr-var-data-in' type='checkbox'><label for='data-64195194-6213-4be7-97a9-71ba600fd4d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;data&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{1200}</div><input id='attrs-6b9d2f72-039b-48a2-a36d-942b19bc6dee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b9d2f72-039b-48a2-a36d-942b19bc6dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8db2185-ca21-4e65-8991-6b134687012b' class='xr-var-data-in' type='checkbox'><label for='data-a8db2185-ca21-4e65-8991-6b134687012b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({1200}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>90</div><input id='attrs-ccc25cd5-9a32-4978-839b-51e5c4b536d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccc25cd5-9a32-4978-839b-51e5c4b536d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-689edc70-f05c-44d4-bc8b-313314d806a4' class='xr-var-data-in' type='checkbox'><label for='data-689edc70-f05c-44d4-bc8b-313314d806a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(90)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-22</div><input id='attrs-b3e40a22-ba7f-4811-86e4-43a46d3b18a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3e40a22-ba7f-4811-86e4-43a46d3b18a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e4dc6e7-904b-4080-9882-b2abac16a505' class='xr-var-data-in' type='checkbox'><label for='data-9e4dc6e7-904b-4080-9882-b2abac16a505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-04-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-0d3332ef-d3dc-45af-80a5-5732fda4e7e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d3332ef-d3dc-45af-80a5-5732fda4e7e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2df59ac9-e77f-43d1-bc98-7a8c8cac4bc9' class='xr-var-data-in' type='checkbox'><label for='data-2df59ac9-e77f-43d1-bc98-7a8c8cac4bc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4326</div><input id='attrs-5e1fcb0a-df6c-458e-b5b9-8ed6bd47e17e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e1fcb0a-df6c-458e-b5b9-8ed6bd47e17e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c9f8444-6eb7-4dd6-8af1-4b68f27b7ab0' class='xr-var-data-in' type='checkbox'><label for='data-4c9f8444-6eb7-4dd6-8af1-4b68f27b7ab0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4326)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-02c3d26b-124a-4c38-8a27-60963f524110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02c3d26b-124a-4c38-8a27-60963f524110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fc2644d-4240-48af-b312-f5e2f62b39af' class='xr-var-data-in' type='checkbox'><label for='data-6fc2644d-4240-48af-b312-f5e2f62b39af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(CSRS)v2</dd><dt><span>horizontal_datum_name :</span></dt><dd>North American Datum of 1983 (CSRS) version 2</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(CSRS)v2 / Quebec Lambert</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(60.0, 46.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>44.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-68.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;NAD83(CSRS)v2 / Quebec Lambert&quot;,GEOGCS[&quot;NAD83(CSRS)v2&quot;,DATUM[&quot;North_American_Datum_of_1983_CSRS_version_2&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1193&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;8237&quot;]],PROJECTION[&quot;Lambert_Conformal_Conic_2SP&quot;],PARAMETER[&quot;latitude_of_origin&quot;,44],PARAMETER[&quot;central_meridian&quot;,-68.5],PARAMETER[&quot;standard_parallel_1&quot;,60],PARAMETER[&quot;standard_parallel_2&quot;,46],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;6622&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-810369.8763021964 322.67852550302985 0.0 392130.90402443166 0.0 -322.67852550302985</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geometry</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>POLYGON ((-306224.9316606918 257...</div><input id='attrs-92df06f8-829d-4601-80c9-3af1ab9eea6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92df06f8-829d-4601-80c9-3af1ab9eea6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52888cad-f713-4330-acc8-4c2ce7a8c66a' class='xr-var-data-in' type='checkbox'><label for='data-52888cad-f713-4330-acc8-4c2ce7a8c66a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:6622</dd></dl></div><div class='xr-var-data'><pre>array([&lt;POLYGON ((-306224.932 257197.439, -305875.671 256657.711, -305767.776 25656...&gt;,\n",
        "       &lt;POLYGON ((-308472.061 254960.004, -308435.028 255062.648, -308413.285 25520...&gt;,\n",
        "       &lt;POLYGON ((-761385.594 347655.489, -761383.379 347649.173, -761390.035 34763...&gt;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-a0ce7403-4e01-448e-b41d-3549848995aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0ce7403-4e01-448e-b41d-3549848995aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a6cd11-ef0d-4965-a4f6-51f76b82f3a9' class='xr-var-data-in' type='checkbox'><label for='data-30a6cd11-ef0d-4965-a4f6-51f76b82f3a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae7f9846-fb47-46e5-913e-d3e6e8c01d48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae7f9846-fb47-46e5-913e-d3e6e8c01d48' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-6db75c7c-5823-4f4a-a4f5-e8551a5c4314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db75c7c-5823-4f4a-a4f5-e8551a5c4314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e4c791-29e8-43ee-84ef-57ef77c6d43e' class='xr-var-data-in' type='checkbox'><label for='data-57e4c791-29e8-43ee-84ef-57ef77c6d43e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301 ,  51.393295, 358.54987 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-855a3187-2cb9-4489-ada7-4ca78a75e458' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-855a3187-2cb9-4489-ada7-4ca78a75e458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf2a8402-0db8-4c0f-a59e-1dd8fb642838' class='xr-var-data-in' type='checkbox'><label for='data-cf2a8402-0db8-4c0f-a59e-1dd8fb642838' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-07b7035f-75e9-4315-92ed-e6a422e5b586' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07b7035f-75e9-4315-92ed-e6a422e5b586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10402e99-056f-4e70-bfb6-2f59832f8894' class='xr-var-data-in' type='checkbox'><label for='data-10402e99-056f-4e70-bfb6-2f59832f8894' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c6d75be-c823-4e48-9f39-55444706fc4c' class='xr-section-summary-in' type='checkbox'  ><label for='section-3c6d75be-c823-4e48-9f39-55444706fc4c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94303ccc-f83d-4f5f-9046-7b6c756bd6ae' class='xr-index-data-in' type='checkbox'/><label for='index-94303ccc-f83d-4f5f-9046-7b6c756bd6ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-412d70a8-0e61-4c9d-9d10-f3e497821681' class='xr-section-summary-in' type='checkbox'  checked><label for='section-412d70a8-0e61-4c9d-9d10-f3e497821681' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-6616c91d-a6b5-4b4d-b0c9-634fd048c75a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6616c91d-a6b5-4b4d-b0c9-634fd048c75a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fa6d308-d89e-4bdd-b6e8-f684244e7035' class='xr-var-data-in' type='checkbox'><label for='data-4fa6d308-d89e-4bdd-b6e8-f684244e7035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d5d451a-1cf9-4a1b-828c-57038f47236b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d5d451a-1cf9-4a1b-828c-57038f47236b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.57 51.39 358.5</div><input id='attrs-f16dd3c0-27dd-40aa-81f5-a04764e99f69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f16dd3c0-27dd-40aa-81f5-a04764e99f69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-641414b1-2886-4f05-9010-00cc36e6938d' class='xr-var-data-in' type='checkbox'><label for='data-641414b1-2886-4f05-9010-00cc36e6938d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 33.57301 ,  51.393295, 358.54987 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3246 0.5185 2.501</div><input id='attrs-b9cb8587-bcc8-4862-ae8a-4ec2212dbe2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9cb8587-bcc8-4862-ae8a-4ec2212dbe2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af06da1d-dd80-44d7-adfc-edf5ec907104' class='xr-var-data-in' type='checkbox'><label for='data-af06da1d-dd80-44d7-adfc-edf5ec907104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([0.3246129 , 0.51848364, 2.500644  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aspect</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.0 242.4 178.6</div><input id='attrs-dde7c67c-da6a-4841-9e05-eabc4a378542' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dde7c67c-da6a-4841-9e05-eabc4a378542' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c960f28-0e2c-4829-ab80-0e55ab5092de' class='xr-var-data-in' type='checkbox'><label for='data-4c960f28-0e2c-4829-ab80-0e55ab5092de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([239.02597, 242.43134, 178.55765], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6231cc2-5cc3-4c89-b7ff-25e779110418' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6231cc2-5cc3-4c89-b7ff-25e779110418' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-995f58e0-2294-4250-bbc9-1959573b24c7' class='xr-index-data-in' type='checkbox'/><label for='index-995f58e0-2294-4250-bbc9-1959573b24c7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9f42e75-6546-4f28-a037-dfd282116528' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9f42e75-6546-4f28-a037-dfd282116528' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=4326, bounds=(-79.00083333333333, 46.0, -72.0, 47.00083333333334), resolutions_xy=(0.0008333333333333334, 0.0008333333333333334))</dd><dt><span>resolution :</span></dt><dd>0.0008333333333333334</dd><dt><span>_FillValue :</span></dt><dd>1.7976931348623157e+308</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 180B\n",
        "Dimensions:      (Station: 3)\n",
        "Coordinates:\n",
-       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    platform     <U8 32B 'TanDEM-X'\n",
-       "    gsd          int64 8B 90\n",
-       "    proj:shape   object 8B {1200}\n",
        "    band         <U4 16B 'data'\n",
+       "    proj:shape   object 8B {1200}\n",
+       "    gsd          int64 8B 90\n",
+       "    time         datetime64[ns] 8B 2021-04-22\n",
        "    epsg         int64 8B 4326\n",
        "    proj:epsg    int64 8B 4326\n",
        "    spatial_ref  int64 8B 0\n",
@@ -1392,7 +1392,7 @@
        "    _FillValue:  1.7976931348623157e+308"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1413,13 +1413,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5a72db387eec4cd1b75aeb52e5adf534",
+       "model_id": "797978f27e2c4d4fb68a07011cdaeadf",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1524,7 +1524,7 @@
        "042103   3.444143e-07         0.000011                0.000113  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1536,12 +1536,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1500x750 with 2 Axes>"
       ]
@@ -1551,7 +1551,7 @@
     }
    ],
    "source": [
-    "ax = xhgis.land_use_plot(gdf, unique_id=\"Station\", idx=2)"
+    "ax = xhgis.land_use_plot(gdf, unique_id=\"Station\", idx=0)"
    ]
   },
   {
@@ -1566,13 +1566,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ceebb0e0d14e4d7d8c496506065e5557",
+       "model_id": "5cf4d097331c40edb926adab7836fdaa",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1619,7 +1619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1997,25 +1997,25 @@
        "Data variables:\n",
        "    tas      (Station, time) float64 6MB -23.29 -23.28 -23.49 ... 2.389 2.339\n",
        "    pr       (Station, time) float64 6MB 0.0 0.0 0.0 ... 0.003698 0.0006662\n",
-       "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-235fc579-8b47-4694-aa47-bc801035cfb1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-235fc579-8b47-4694-aa47-bc801035cfb1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 262968</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-83e87f62-2544-4a3f-a2cf-08eb63f13eb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83e87f62-2544-4a3f-a2cf-08eb63f13eb0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-12-31T23:00:00</div><input id='attrs-f12b1c56-5d0f-4c0b-83c2-51dfea73d022' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f12b1c56-5d0f-4c0b-83c2-51dfea73d022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b838677c-a441-4749-aafc-a29a7077dede' class='xr-var-data-in' type='checkbox'><label for='data-b838677c-a441-4749-aafc-a29a7077dede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-01T01:00:00.000000000&#x27;,\n",
+       "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6855dbf2-63e3-4656-b837-de422cdf1ef0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6855dbf2-63e3-4656-b837-de422cdf1ef0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 262968</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-91829cd8-774d-4e6d-9d52-9c75b69881ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91829cd8-774d-4e6d-9d52-9c75b69881ab' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-12-31T23:00:00</div><input id='attrs-4ab3c85f-761f-4844-84ee-9fec8aa7c2f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ab3c85f-761f-4844-84ee-9fec8aa7c2f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2891925-d080-4e71-bfd3-20f554699f92' class='xr-var-data-in' type='checkbox'><label for='data-e2891925-d080-4e71-bfd3-20f554699f92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-01T01:00:00.000000000&#x27;,\n",
        "       &#x27;1981-01-01T02:00:00.000000000&#x27;, ..., &#x27;2010-12-31T21:00:00.000000000&#x27;,\n",
        "       &#x27;2010-12-31T22:00:00.000000000&#x27;, &#x27;2010-12-31T23:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-88c03776-e551-453a-9862-ecb8766b12e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88c03776-e551-453a-9862-ecb8766b12e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a76e8e25-6ec1-49fe-8849-0d34a56a209b' class='xr-var-data-in' type='checkbox'><label for='data-a76e8e25-6ec1-49fe-8849-0d34a56a209b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-7bcbc435-5620-4a98-9880-8c623a347a31' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bcbc435-5620-4a98-9880-8c623a347a31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe066f4-f0d6-49fb-958c-ad1d34380934' class='xr-var-data-in' type='checkbox'><label for='data-7fe066f4-f0d6-49fb-958c-ad1d34380934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d35e0930-317a-45fb-8111-88bd1805440a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d35e0930-317a-45fb-8111-88bd1805440a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.29 -23.28 ... 2.389 2.339</div><input id='attrs-912c0908-ec3b-4da5-995e-5a5f8afc48f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-912c0908-ec3b-4da5-995e-5a5f8afc48f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07eb9575-d6f1-4fb3-97dc-f3447052c07a' class='xr-var-data-in' type='checkbox'><label for='data-07eb9575-d6f1-4fb3-97dc-f3447052c07a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[-23.28822588, -23.27912287, -23.49087885, ...,   2.83788666,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-f40feaab-3e6c-43ea-909f-8b79f08ee938' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f40feaab-3e6c-43ea-909f-8b79f08ee938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30125519-b5cd-4cb2-9aac-9ec46723a7b0' class='xr-var-data-in' type='checkbox'><label for='data-30125519-b5cd-4cb2-9aac-9ec46723a7b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-4e9d0fdd-b004-4a75-8305-aa1358d468ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e9d0fdd-b004-4a75-8305-aa1358d468ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59c0e618-0330-4063-9dd6-51d6c72a253e' class='xr-var-data-in' type='checkbox'><label for='data-59c0e618-0330-4063-9dd6-51d6c72a253e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-79898c6f-20bd-4e4d-be73-86ea8a54380b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79898c6f-20bd-4e4d-be73-86ea8a54380b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.29 -23.28 ... 2.389 2.339</div><input id='attrs-24b6f8ad-5913-44df-9836-77d5206e7a8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24b6f8ad-5913-44df-9836-77d5206e7a8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eb98266-38f5-4b38-b5c8-e87fcd7b0109' class='xr-var-data-in' type='checkbox'><label for='data-8eb98266-38f5-4b38-b5c8-e87fcd7b0109' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[-23.28822588, -23.27912287, -23.49087885, ...,   2.83788666,\n",
        "          2.70646034,   2.4310486 ],\n",
        "       [-23.31938812, -23.30393538, -23.54079412, ...,   2.86474679,\n",
        "          2.73432873,   2.45404823],\n",
        "       [-21.71574848, -21.86092699, -21.64519897, ...,   2.4546858 ,\n",
-       "          2.38858784,   2.33939909]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.003698 0.0006662</div><input id='attrs-778c6673-07e0-4ea7-bca1-36916cf4c3e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-778c6673-07e0-4ea7-bca1-36916cf4c3e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e9816f8-4c27-4cc6-84cb-6f78da34f90c' class='xr-var-data-in' type='checkbox'><label for='data-5e9816f8-4c27-4cc6-84cb-6f78da34f90c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total precipitation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>228</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>mm d-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
+       "          2.38858784,   2.33939909]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.003698 0.0006662</div><input id='attrs-3f9ecf8c-35c3-4337-81f0-21db9f162a7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f9ecf8c-35c3-4337-81f0-21db9f162a7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95863e13-74a8-4e07-a11a-7f957011a440' class='xr-var-data-in' type='checkbox'><label for='data-95863e13-74a8-4e07-a11a-7f957011a440' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total precipitation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>228</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>mm d-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
        "        2.05977317e-02, 3.16449758e-01, 1.18959296e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
        "        1.58205582e-02, 3.07860781e-01, 1.18625827e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
-       "        6.75786463e-02, 3.69828482e-03, 6.66245147e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.07 55.07 55.07 ... 64.21 63.84</div><input id='attrs-253618b0-5963-45ad-a06a-904ec1d17a45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-253618b0-5963-45ad-a06a-904ec1d17a45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d2bd49-d0e4-4c6e-a7d6-3cae1bbd6a22' class='xr-var-data-in' type='checkbox'><label for='data-86d2bd49-d0e4-4c6e-a7d6-3cae1bbd6a22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[55.0743319 , 55.07432449, 55.07432449, ..., 35.97044805,\n",
+       "        6.75786463e-02, 3.69828482e-03, 6.66245147e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.07 55.07 55.07 ... 64.21 63.84</div><input id='attrs-8e96e95e-7233-42f3-9a72-cac578b97e29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e96e95e-7233-42f3-9a72-cac578b97e29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab8c2bc-2dd8-439d-8829-f3a325c74c7f' class='xr-var-data-in' type='checkbox'><label for='data-cab8c2bc-2dd8-439d-8829-f3a325c74c7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd></dl></div><div class='xr-var-data'><pre>array([[55.0743319 , 55.07432449, 55.07432449, ..., 35.97044805,\n",
        "        35.67134084, 35.41302639],\n",
        "       [54.10321706, 54.10320674, 54.10320674, ..., 35.57231545,\n",
        "        35.26789736, 35.00541001],\n",
        "       [99.38436078, 99.3800334 , 99.37617487, ..., 64.57584623,\n",
-       "        64.20917775, 63.84102413]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4afee57e-9b22-498d-be2e-a1e7e0a66e4c' class='xr-section-summary-in' type='checkbox'  ><label for='section-4afee57e-9b22-498d-be2e-a1e7e0a66e4c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56948c4d-4884-4ebb-a5b0-a25a9f50229d' class='xr-index-data-in' type='checkbox'/><label for='index-56948c4d-4884-4ebb-a5b0-a25a9f50229d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01 00:00:00&#x27;, &#x27;1981-01-01 01:00:00&#x27;,\n",
+       "        64.20917775, 63.84102413]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-439018d0-333a-45f7-bc16-58dfeef471d3' class='xr-section-summary-in' type='checkbox'  ><label for='section-439018d0-333a-45f7-bc16-58dfeef471d3' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0660d033-5058-441e-a86e-354518929650' class='xr-index-data-in' type='checkbox'/><label for='index-0660d033-5058-441e-a86e-354518929650' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01 00:00:00&#x27;, &#x27;1981-01-01 01:00:00&#x27;,\n",
        "               &#x27;1981-01-01 02:00:00&#x27;, &#x27;1981-01-01 03:00:00&#x27;,\n",
        "               &#x27;1981-01-01 04:00:00&#x27;, &#x27;1981-01-01 05:00:00&#x27;,\n",
        "               &#x27;1981-01-01 06:00:00&#x27;, &#x27;1981-01-01 07:00:00&#x27;,\n",
@@ -2026,7 +2026,7 @@
        "               &#x27;2010-12-31 18:00:00&#x27;, &#x27;2010-12-31 19:00:00&#x27;,\n",
        "               &#x27;2010-12-31 20:00:00&#x27;, &#x27;2010-12-31 21:00:00&#x27;,\n",
        "               &#x27;2010-12-31 22:00:00&#x27;, &#x27;2010-12-31 23:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=262968, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94af4785-e7bd-4df8-b6d4-00f56c18d1b4' class='xr-index-data-in' type='checkbox'/><label for='index-94af4785-e7bd-4df8-b6d4-00f56c18d1b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e208671-81cf-4fe6-8d52-c23a8875a4a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e208671-81cf-4fe6-8d52-c23a8875a4a4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=262968, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-54ae330b-4d20-4567-a543-9097165670e3' class='xr-index-data-in' type='checkbox'/><label for='index-54ae330b-4d20-4567-a543-9097165670e3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-812e28e6-b395-4f53-ac69-e7b7e669bbfb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-812e28e6-b395-4f53-ac69-e7b7e669bbfb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 21MB\n",
@@ -2041,7 +2041,7 @@
        "    snd      (Station, time) float64 6MB 55.07 55.07 55.07 ... 64.58 64.21 63.84"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2082,7 +2082,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2120,7 +2120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -2514,7 +2514,7 @@
        "    cat:xrfreq:            YS-JAN\n",
        "    cat:frequency:         yr\n",
        "    cat:processing_level:  indicators\n",
-       "    cat:id:                </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f20a6afb-223c-44b8-9760-3e58d2e1d789' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f20a6afb-223c-44b8-9760-3e58d2e1d789' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-642a104f-aa01-4cf9-a5b3-ad854c4f3bad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-642a104f-aa01-4cf9-a5b3-ad854c4f3bad' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-34e39ac5-2e61-4a3f-b27d-53931f39de7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e39ac5-2e61-4a3f-b27d-53931f39de7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7c39073-11b4-4571-a2cb-28349e54be1a' class='xr-var-data-in' type='checkbox'><label for='data-b7c39073-11b4-4571-a2cb-28349e54be1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-b2ed12a1-3376-46e1-93e5-21568c72a0df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2ed12a1-3376-46e1-93e5-21568c72a0df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f466e46-f8e0-4890-beb7-2c7af187ecc0' class='xr-var-data-in' type='checkbox'><label for='data-9f466e46-f8e0-4890-beb7-2c7af187ecc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-01-01</div><input id='attrs-9474e629-444d-4714-8129-6c3384f2223c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9474e629-444d-4714-8129-6c3384f2223c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4e70cbb-1a80-4c0f-a640-7c1d845bb1bf' class='xr-var-data-in' type='checkbox'><label for='data-f4e70cbb-1a80-4c0f-a640-7c1d845bb1bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
+       "    cat:id:                </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2c327654-90fe-4ee1-ab57-266ff54e5cc3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c327654-90fe-4ee1-ab57-266ff54e5cc3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Station</span>: 3</li><li><span class='xr-has-index'>time</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dd7c2240-5000-428e-a92f-bf654d683335' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd7c2240-5000-428e-a92f-bf654d683335' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;031501&#x27; &#x27;031502&#x27; &#x27;042103&#x27;</div><input id='attrs-f1044ead-12aa-4f3a-9234-da4708f1cdd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1044ead-12aa-4f3a-9234-da4708f1cdd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-761fa3b7-48bb-4ae7-ae4d-4e6447f71469' class='xr-var-data-in' type='checkbox'><label for='data-761fa3b7-48bb-4ae7-ae4d-4e6447f71469' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>timeseries_id</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;era5_land_reanalysis&#x27;</div><input id='attrs-ab890497-1345-49ae-aa0a-4b0f62b0f9fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab890497-1345-49ae-aa0a-4b0f62b0f9fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cc8f655-df9a-4b1a-ae71-52e2238f0970' class='xr-var-data-in' type='checkbox'><label for='data-0cc8f655-df9a-4b1a-ae71-52e2238f0970' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;era5_land_reanalysis&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2010-01-01</div><input id='attrs-24db4dad-b1b0-4381-9f2c-8a6d0ea52ae9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24db4dad-b1b0-4381-9f2c-8a6d0ea52ae9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c889a41-60c4-4faf-9f89-98079e8f1c0a' class='xr-var-data-in' type='checkbox'><label for='data-3c889a41-60c4-4faf-9f89-98079e8f1c0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
@@ -2529,7 +2529,7 @@
        "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af24b748-a6a3-4804-bb38-097a25d465c3' class='xr-section-summary-in' type='checkbox'  ><label for='section-af24b748-a6a3-4804-bb38-097a25d465c3' class='xr-section-summary' >Data variables: <span>(75)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.1 3.616 5.859 ... -4.901 3.161</div><input id='attrs-5e1dbf1a-7d88-4bcd-99f2-d6a127c13a57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e1dbf1a-7d88-4bcd-99f2-d6a127c13a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de0115a1-f132-47c0-ab90-df9c5c1137b5' class='xr-var-data-in' type='checkbox'><label for='data-de0115a1-f132-47c0-ab90-df9c5c1137b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_01: fa.TAS_MAX_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.09970691,  3.61586845,  5.85897762,  2.75846328,  1.34307291,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-348962b3-9d1f-462a-9277-590037cd2576' class='xr-section-summary-in' type='checkbox'  ><label for='section-348962b3-9d1f-462a-9277-590037cd2576' class='xr-section-summary' >Data variables: <span>(75)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.1 3.616 5.859 ... -4.901 3.161</div><input id='attrs-d8ad2255-96a4-4632-8c06-6c06cb605566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8ad2255-96a4-4632-8c06-6c06cb605566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5caecee-2b23-4fe0-925d-d7906cc731f7' class='xr-var-data-in' type='checkbox'><label for='data-e5caecee-2b23-4fe0-925d-d7906cc731f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:29] tas_max_01: fa.TAS_MAX_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.09970691,  3.61586845,  5.85897762,  2.75846328,  1.34307291,\n",
        "         7.49477154, -0.11705404,  6.69048937,  5.34372221,  6.62090344,\n",
        "         2.88713625,  4.73808158,  6.49090408,  6.78730596, 11.8859219 ,\n",
        "        12.27703871,  5.59873414,  4.81807481,  9.12391615,  7.72375127,\n",
@@ -2546,7 +2546,7 @@
        "         1.10929013,  2.18149223,  3.67288031, -1.49102634,  8.92987027,\n",
        "         9.13321392,  5.29869101,  4.72591332,  7.98947545,  6.17163074,\n",
        "        -0.98086383,  4.27317051, -1.22907417,  4.08838537,  9.01510864,\n",
-       "         3.96222893,  5.63500026,  7.2495975 , -4.90054071,  3.16118279]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.23 1.781 5.897 ... 4.389 3.544</div><input id='attrs-65b3b4a3-963c-4bdd-9409-24cd4c54fabc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65b3b4a3-963c-4bdd-9409-24cd4c54fabc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7d71d00-0ac8-48b4-9804-5a75f30569ec' class='xr-var-data-in' type='checkbox'><label for='data-a7d71d00-0ac8-48b4-9804-5a75f30569ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_02: fa.TAS_MAX_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.23417627,  1.78066639,  5.897047  ,  8.38189383,  6.23187165,\n",
+       "         3.96222893,  5.63500026,  7.2495975 , -4.90054071,  3.16118279]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.23 1.781 5.897 ... 4.389 3.544</div><input id='attrs-43fb6743-3f1f-4ae9-831d-c8a6209930a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43fb6743-3f1f-4ae9-831d-c8a6209930a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06570105-866e-48ad-979b-4d6ad249741e' class='xr-var-data-in' type='checkbox'><label for='data-06570105-866e-48ad-979b-4d6ad249741e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:29] tas_max_02: fa.TAS_MAX_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.23417627,  1.78066639,  5.897047  ,  8.38189383,  6.23187165,\n",
        "         3.94734765,  1.72950889,  6.77379236,  4.10767795,  5.71540183,\n",
        "         5.29444258,  2.95601844, -1.41509585,  8.87637843,  3.55655692,\n",
        "         6.42812942,  4.57582234,  4.88777957,  8.28514644, 11.30437158,\n",
@@ -2563,7 +2563,7 @@
        "         5.98392509,  1.01665669,  0.96944758,  9.62264835,  2.18305335,\n",
        "         3.89756401,  5.41739789,  4.86432367,  9.23841616,  7.23242825,\n",
        "         6.06057013,  5.13294089,  1.78886811,  5.32394828,  5.31024798,\n",
-       "         1.63760055, -2.75672271,  4.33498612,  4.38857532,  3.54417938]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.61 10.72 8.643 ... 8.564 12.78</div><input id='attrs-40b58270-5fbe-4782-adaa-48fa06d8ec65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40b58270-5fbe-4782-adaa-48fa06d8ec65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcadbef6-9a17-4d9e-bdf2-054b18b3b47c' class='xr-var-data-in' type='checkbox'><label for='data-dcadbef6-9a17-4d9e-bdf2-054b18b3b47c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_03: fa.TAS_MAX_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[11.61305029, 10.71718777,  8.64309063, 10.32050539,  9.69716317,\n",
+       "         1.63760055, -2.75672271,  4.33498612,  4.38857532,  3.54417938]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.61 10.72 8.643 ... 8.564 12.78</div><input id='attrs-65ed1cce-fa45-46a5-94e4-4f63a49fbf73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65ed1cce-fa45-46a5-94e4-4f63a49fbf73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17be820f-1d33-4211-8998-19b37197d982' class='xr-var-data-in' type='checkbox'><label for='data-17be820f-1d33-4211-8998-19b37197d982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:29] tas_max_03: fa.TAS_MAX_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[11.61305029, 10.71718777,  8.64309063, 10.32050539,  9.69716317,\n",
        "        18.77961093, 17.23333721, 14.9954171 , 14.51459046, 15.20588053,\n",
        "        12.78535033,  9.73250638, 12.86451641,  7.32756386, 10.49041347,\n",
        "        13.07040811, 12.42694272, 16.07648374, 11.62595186, 14.99437443,\n",
@@ -2580,7 +2580,7 @@
        "         8.98142204,  7.1161893 , 13.19084133,  7.37957094, 13.87068545,\n",
        "         9.18176518,  8.14605903, 14.29230419, 13.05173594, 14.14402528,\n",
        "         6.49240969, 10.02428916, 10.11021337, 10.47194356,  8.11688514,\n",
-       "        12.62682089, 10.47658946,  8.4390292 ,  8.5637746 , 12.7773343 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>19.4 20.66 19.51 ... 24.34 25.98</div><input id='attrs-20c595ef-39f7-4930-8ed7-f99a749ae8a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20c595ef-39f7-4930-8ed7-f99a749ae8a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59f3edbb-3bdf-4c26-b00f-e1a49ab891bc' class='xr-var-data-in' type='checkbox'><label for='data-59f3edbb-3bdf-4c26-b00f-e1a49ab891bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_04: fa.TAS_MAX_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[19.39515357, 20.66427124, 19.51287867, 25.47683751, 20.6514128 ,\n",
+       "        12.62682089, 10.47658946,  8.4390292 ,  8.5637746 , 12.7773343 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>19.4 20.66 19.51 ... 24.34 25.98</div><input id='attrs-c92ba3c4-9c15-46df-bb5a-1fcb7c165709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c92ba3c4-9c15-46df-bb5a-1fcb7c165709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c94b4a30-aab1-498f-9c90-165f9fee4ea4' class='xr-var-data-in' type='checkbox'><label for='data-c94b4a30-aab1-498f-9c90-165f9fee4ea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:29] tas_max_04: fa.TAS_MAX_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[19.39515357, 20.66427124, 19.51287867, 25.47683751, 20.6514128 ,\n",
        "        26.68252749, 26.4755039 , 16.25758269, 17.1177428 , 27.96696261,\n",
        "        20.64237561, 22.43228958, 21.59984323, 19.98165245, 16.07924523,\n",
        "        18.39598937, 18.90702826, 20.94077889, 18.2127576 , 15.91616279,\n",
@@ -2597,7 +2597,7 @@
        "        21.49174624, 14.33380102, 18.24175537, 18.3300821 , 11.27893234,\n",
        "        11.36429905, 14.63432526, 21.43687595, 18.21691446, 17.71896852,\n",
        "        22.36480383, 23.85309229, 21.38794169, 21.43468718, 19.39423135,\n",
-       "        19.68412749, 21.75884815, 22.42963118, 24.34417958, 25.98413932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.39 28.17 21.1 ... 24.25 32.24</div><input id='attrs-04a96869-d21a-4f34-991b-6efbc8eb03b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04a96869-d21a-4f34-991b-6efbc8eb03b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-087e7f7f-9035-459d-9d4e-f2c5eacac39c' class='xr-var-data-in' type='checkbox'><label for='data-087e7f7f-9035-459d-9d4e-f2c5eacac39c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_05: fa.TAS_MAX_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[24.38602987, 28.16957303, 21.10499226, 24.25835686, 25.65742324,\n",
+       "        19.68412749, 21.75884815, 22.42963118, 24.34417958, 25.98413932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.39 28.17 21.1 ... 24.25 32.24</div><input id='attrs-573cc605-b571-49b0-ad6f-762d4bbf0851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-573cc605-b571-49b0-ad6f-762d4bbf0851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5466aeb-8e66-4677-9e9c-ffd010b0e69f' class='xr-var-data-in' type='checkbox'><label for='data-a5466aeb-8e66-4677-9e9c-ffd010b0e69f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:29] tas_max_05: fa.TAS_MAX_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[24.38602987, 28.16957303, 21.10499226, 24.25835686, 25.65742324,\n",
        "        28.02222953, 28.53325718, 24.40578997, 28.77736928, 24.83001733,\n",
        "        29.62038136, 28.9132663 , 23.88875426, 27.1079459 , 25.77400616,\n",
        "        25.74897614, 22.38804048, 28.57039661, 30.14537914, 26.50799883,\n",
@@ -2614,7 +2614,7 @@
        "        26.49697673, 26.3793735 , 28.05709184, 26.832759  , 25.42372398,\n",
        "        23.2965823 , 20.48146432, 31.58755951, 27.78139509, 26.55128657,\n",
        "        25.68825293, 24.60228629, 23.72480674, 26.81728379, 24.65675075,\n",
-       "        30.41104706, 28.26391113, 19.83283806, 24.25107572, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 31.99 ... 30.66 25.42</div><input id='attrs-bf5c24f0-f236-4621-bc65-31117a2aba51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf5c24f0-f236-4621-bc65-31117a2aba51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b933125f-afab-477c-9a7a-6ec8ffc42cca' class='xr-var-data-in' type='checkbox'><label for='data-b933125f-afab-477c-9a7a-6ec8ffc42cca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_06: fa.TAS_MAX_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 31.99417065, 29.25685908, 26.23459714,\n",
+       "        30.41104706, 28.26391113, 19.83283806, 24.25107572, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 31.99 ... 30.66 25.42</div><input id='attrs-b67e6f0b-d309-4ebb-8e05-fa6d96593abf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b67e6f0b-d309-4ebb-8e05-fa6d96593abf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65b1f14e-1dea-4219-83e9-e4ba0844160f' class='xr-var-data-in' type='checkbox'><label for='data-65b1f14e-1dea-4219-83e9-e4ba0844160f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:29] tas_max_06: fa.TAS_MAX_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 31.99417065, 29.25685908, 26.23459714,\n",
        "        26.56160073, 30.98791636, 33.48695397, 31.71860745, 27.22914627,\n",
        "        31.34577554, 29.45845522, 28.27114106, 32.07804509, 34.08436674,\n",
        "        27.54956721, 31.38521307, 29.42217243, 31.29059367, 27.78569721,\n",
@@ -2631,7 +2631,7 @@
        "        29.122464  , 28.50182986, 28.36394375, 31.02018307, 34.82043507,\n",
        "        28.00472406, 29.8228807 , 28.95876441, 30.4277248 , 25.99397644,\n",
        "        31.03007011, 28.79280337, 31.21388901, 27.10716262, 31.84135424,\n",
-       "        28.9232173 , 29.64953656, 25.44460638, 30.65900392, 25.42443101]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 25.19 30.29</div><input id='attrs-eb1fa718-2e0e-4d8f-847a-69621e95446f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb1fa718-2e0e-4d8f-847a-69621e95446f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86cb538b-6eda-46d7-bbcb-11f60dad823f' class='xr-var-data-in' type='checkbox'><label for='data-86cb538b-6eda-46d7-bbcb-11f60dad823f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_07: fa.TAS_MAX_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 29.93280616, 31.14183534,\n",
+       "        28.9232173 , 29.64953656, 25.44460638, 30.65900392, 25.42443101]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 25.19 30.29</div><input id='attrs-acff09dd-6152-4ad3-a691-7f3e043f6143' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acff09dd-6152-4ad3-a691-7f3e043f6143' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fc24b3a-1dd6-4da9-929e-b154897db73a' class='xr-var-data-in' type='checkbox'><label for='data-2fc24b3a-1dd6-4da9-929e-b154897db73a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:30] tas_max_07: fa.TAS_MAX_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 29.93280616, 31.14183534,\n",
        "        30.53145267, 31.93422015, 33.39342194, 31.61153884, 29.99426495,\n",
        "        33.16331222, 26.55791614, 32.45545356, 30.44989024, 32.1329486 ,\n",
        "        27.02761575, 29.67049013, 30.04351186, 30.95179553, 26.96749387,\n",
@@ -2648,7 +2648,7 @@
        "        32.11178281, 24.58506845, 31.23530002, 28.88614308, 29.97713535,\n",
        "        26.73484998, 30.18193024, 31.76906317, 29.26651846, 26.82891583,\n",
        "        30.46803785, 31.16902562, 28.51802119, 27.63115102, 34.46092142,\n",
-       "        29.57752707, 28.29858769, 25.4330964 , 25.19069016, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.18 26.86 28.8 ... 27.65 29.36</div><input id='attrs-963bfeb5-e6be-4d9f-a01d-24f95d21725c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-963bfeb5-e6be-4d9f-a01d-24f95d21725c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a47c901b-ead1-4f12-9967-6218a6d8ca95' class='xr-var-data-in' type='checkbox'><label for='data-a47c901b-ead1-4f12-9967-6218a6d8ca95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_08: fa.TAS_MAX_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[28.17966358, 26.85535179, 28.80468796, 30.21855922, 29.42490858,\n",
+       "        29.57752707, 28.29858769, 25.4330964 , 25.19069016, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.18 26.86 28.8 ... 27.65 29.36</div><input id='attrs-344e137a-684e-4fdc-bb46-e00e8e47f934' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-344e137a-684e-4fdc-bb46-e00e8e47f934' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15db85a8-fa78-4e6e-9065-7d168ce4a3a0' class='xr-var-data-in' type='checkbox'><label for='data-15db85a8-fa78-4e6e-9065-7d168ce4a3a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:30] tas_max_08: fa.TAS_MAX_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[28.17966358, 26.85535179, 28.80468796, 30.21855922, 29.42490858,\n",
        "        26.40210622, 30.28561027, 32.76663754, 28.44456825, 30.43126315,\n",
        "        29.68052601, 28.37168961, 30.26502452, 27.22189891, 30.03467127,\n",
        "        29.93451   , 30.3023172 , 29.93087748, 28.23554437, 25.91378625,\n",
@@ -2665,7 +2665,7 @@
        "        29.26355806, 27.36094918, 29.92569448, 24.20641416, 29.52395059,\n",
        "        28.03303595, 27.77450769, 29.93343822, 26.66697334, 26.83474853,\n",
        "        33.37150503, 30.12011178, 29.97201825, 26.57843995, 29.87970269,\n",
-       "        31.99623582, 31.97687612, 26.92012936, 27.65231728, 29.3620336 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.26 27.06 30.07 ... 23.6 29.34</div><input id='attrs-ea26dbf2-cafe-47ec-9e8f-537a57a5b8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea26dbf2-cafe-47ec-9e8f-537a57a5b8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b065d8-ebc4-4a53-b0ee-28b228332800' class='xr-var-data-in' type='checkbox'><label for='data-01b065d8-ebc4-4a53-b0ee-28b228332800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_09: fa.TAS_MAX_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[25.26334592, 27.05687938, 30.07035057, 23.75177961, 27.23758261,\n",
+       "        31.99623582, 31.97687612, 26.92012936, 27.65231728, 29.3620336 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.26 27.06 30.07 ... 23.6 29.34</div><input id='attrs-7e44b1c5-7b6f-4bd4-b676-2994df0f06be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e44b1c5-7b6f-4bd4-b676-2994df0f06be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a717d2b5-972f-41e1-ab48-40af579a9c6d' class='xr-var-data-in' type='checkbox'><label for='data-a717d2b5-972f-41e1-ab48-40af579a9c6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:30] tas_max_09: fa.TAS_MAX_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[25.26334592, 27.05687938, 30.07035057, 23.75177961, 27.23758261,\n",
        "        22.8107774 , 24.29402437, 25.45705246, 27.35301185, 25.39005673,\n",
        "        23.6744446 , 25.8353973 , 26.82559265, 22.32231191, 24.41230352,\n",
        "        27.16377256, 23.73894301, 24.9241144 , 31.16370321, 25.04506065,\n",
@@ -2682,7 +2682,7 @@
        "        24.8474844 , 23.02929778, 24.21105206, 24.66219382, 21.74431112,\n",
        "        26.84298263, 23.33105941, 24.88713139, 31.63901491, 24.78235018,\n",
        "        27.17322498, 30.67407193, 26.61334625, 26.63631531, 28.66473196,\n",
-       "        22.74464785, 28.26882757, 26.77054608, 23.60499643, 29.33840064]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.22 18.71 23.7 ... 14.32 17.03</div><input id='attrs-3fd32809-a71c-4071-bb10-3b666b478bdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd32809-a71c-4071-bb10-3b666b478bdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56d15952-1750-4d6c-ab4f-3fad98a3d0be' class='xr-var-data-in' type='checkbox'><label for='data-56d15952-1750-4d6c-ab4f-3fad98a3d0be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:49] tas_max_10: fa.TAS_MAX_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[14.21522858, 18.71072218, 23.69887328, 20.81871398, 18.90669892,\n",
+       "        22.74464785, 28.26882757, 26.77054608, 23.60499643, 29.33840064]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.22 18.71 23.7 ... 14.32 17.03</div><input id='attrs-ea3a1204-8d9e-421d-a276-f5933b6f7038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea3a1204-8d9e-421d-a276-f5933b6f7038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ad2a318-7af9-4839-8fb3-23fbc858d051' class='xr-var-data-in' type='checkbox'><label for='data-5ad2a318-7af9-4839-8fb3-23fbc858d051' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:30] tas_max_10: fa.TAS_MAX_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[14.21522858, 18.71072218, 23.69887328, 20.81871398, 18.90669892,\n",
        "        18.9271361 , 19.94816343, 22.04048694, 19.43787176, 22.28717467,\n",
        "        23.40753457, 18.16148173, 18.44713244, 21.2148752 , 21.8617981 ,\n",
        "        19.11045932, 20.86434097, 20.39946468, 18.69863101, 21.13150452,\n",
@@ -2699,7 +2699,7 @@
        "        21.8368917 , 18.97941906, 14.4676872 , 20.10966932, 22.86592182,\n",
        "        21.54504378, 24.08130134, 16.81095732, 18.9991644 , 21.13580449,\n",
        "        19.80242205, 22.90478307, 21.89797803, 22.3317542 , 25.89768074,\n",
-       "        18.43346109, 22.90803447, 21.95260714, 14.31996565, 17.0308429 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.87 17.99 12.98 ... 12.77 10.2</div><input id='attrs-e35aeabc-5020-4689-95a7-938461ce8a47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e35aeabc-5020-4689-95a7-938461ce8a47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9048b8c-daf7-4424-9682-fd81e294e4f2' class='xr-var-data-in' type='checkbox'><label for='data-e9048b8c-daf7-4424-9682-fd81e294e4f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:50] tas_max_11: fa.TAS_MAX_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.86798871, 17.98689099, 12.9784809 , 12.39670398, 15.82966021,\n",
+       "        18.43346109, 22.90803447, 21.95260714, 14.31996565, 17.0308429 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.87 17.99 12.98 ... 12.77 10.2</div><input id='attrs-019495dd-d59f-4e65-b9af-d885079bc921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-019495dd-d59f-4e65-b9af-d885079bc921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31eab5c4-0a5f-46d3-aca6-db78f9a14a7d' class='xr-var-data-in' type='checkbox'><label for='data-31eab5c4-0a5f-46d3-aca6-db78f9a14a7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:30] tas_max_11: fa.TAS_MAX_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.86798871, 17.98689099, 12.9784809 , 12.39670398, 15.82966021,\n",
        "        12.26194062, 14.59106206, 18.04080973, 17.6654675 , 15.68103446,\n",
        "        15.80102072, 12.78218631, 12.08320133, 15.61558057, 14.06306938,\n",
        "        18.72976064, 17.22767828, 10.92935027, 18.57786503, 11.72328105,\n",
@@ -2716,7 +2716,7 @@
        "        11.00153309,  9.90863331,  6.90436888, 13.04713684,  9.07567283,\n",
        "        12.01019699, 11.58613623, 11.66938966, 15.4715553 , 14.793425  ,\n",
        "        12.63670252, 11.39179375, 12.04596577,  8.99766284, 13.85109253,\n",
-       "        11.78235302,  9.48972894, 17.73166998, 12.76505001, 10.20001641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.383 13.13 4.912 ... 4.834 6.707</div><input id='attrs-9f268b10-16fc-4da6-823f-c88232084156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f268b10-16fc-4da6-823f-c88232084156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3f0f9e9-fb6b-46e3-9dd7-4f7211102e93' class='xr-var-data-in' type='checkbox'><label for='data-a3f0f9e9-fb6b-46e3-9dd7-4f7211102e93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:50] tas_max_12: fa.TAS_MAX_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.38271191, 13.13448333,  4.91219235,  7.68183075,  6.54147667,\n",
+       "        11.78235302,  9.48972894, 17.73166998, 12.76505001, 10.20001641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.383 13.13 4.912 ... 4.834 6.707</div><input id='attrs-8833f668-b1eb-4742-9e0b-0eaa63bb3006' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8833f668-b1eb-4742-9e0b-0eaa63bb3006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7900e227-a5bd-4c15-a697-128534a372f6' class='xr-var-data-in' type='checkbox'><label for='data-7900e227-a5bd-4c15-a697-128534a372f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:30] tas_max_12: fa.TAS_MAX_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.38271191, 13.13448333,  4.91219235,  7.68183075,  6.54147667,\n",
        "         3.28572371,  4.88942874,  6.27181673,  3.93740904,  6.16202592,\n",
        "         8.44480589,  6.30659249,  5.14781433,  7.26483431,  1.7370562 ,\n",
        "         9.64866386,  2.35797816, 12.39294195, 10.57464023, 11.47649713,\n",
@@ -2733,7 +2733,7 @@
        "         6.81774012,  6.04372502,  5.48015272,  5.97828411,  1.4210189 ,\n",
        "         6.47760415,  4.10828356,  7.71724402,  7.29891624,  2.26967208,\n",
        "        12.96145447,  3.32140362,  4.67729799,  6.92882636,  1.15374292,\n",
-       "         4.49616205,  3.52927418,  9.90759802,  4.83350128,  6.7067143 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 30.86 ... 26.23 32.24</div><input id='attrs-2323f239-3f99-4db7-9035-fffce87d7eee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2323f239-3f99-4db7-9035-fffce87d7eee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eec06a8e-d403-41cf-a259-ec72a712bdf7' class='xr-var-data-in' type='checkbox'><label for='data-eec06a8e-d403-41cf-a259-ec72a712bdf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:54] tas_max_spring: fa.TAS_MAX_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 30.85799541, 29.25685908, 25.65742324,\n",
+       "         4.49616205,  3.52927418,  9.90759802,  4.83350128,  6.7067143 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.32 28.33 30.86 ... 26.23 32.24</div><input id='attrs-76b59e24-d594-45e0-9a06-1b799ded16fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76b59e24-d594-45e0-9a06-1b799ded16fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c089b1c-a3ca-4ec4-accb-5434844c8674' class='xr-var-data-in' type='checkbox'><label for='data-4c089b1c-a3ca-4ec4-accb-5434844c8674' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:34] tas_max_spring: fa.TAS_MAX_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[29.32042026, 28.32576472, 30.85799541, 29.25685908, 25.65742324,\n",
        "        28.02222953, 28.53325718, 33.48695397, 28.77736928, 27.96696261,\n",
        "        29.62038136, 29.45845522, 28.27114106, 32.07804509, 34.08436674,\n",
        "        27.54956721, 31.38521307, 28.57039661, 30.21050022, 26.50799883,\n",
@@ -2750,7 +2750,7 @@
        "        28.02508909, 28.50182986, 28.05709184, 31.02018307, 34.82043507,\n",
        "        25.46558844, 29.8228807 , 31.58755951, 30.4277248 , 26.55128657,\n",
        "        31.03007011, 24.60228629, 25.26348659, 27.10716262, 30.57577324,\n",
-       "        30.41104706, 29.46598835, 25.44460638, 26.23343072, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 30.29</div><input id='attrs-fcdaac30-fbee-4c04-aa19-5f7b772d38c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcdaac30-fbee-4c04-aa19-5f7b772d38c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-978eab6e-5d53-42c8-9be5-8dfcbc01387b' class='xr-var-data-in' type='checkbox'><label for='data-978eab6e-5d53-42c8-9be5-8dfcbc01387b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:56] tas_max_summer_fall: fa.TAS_MAX_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
+       "        30.41104706, 29.46598835, 25.44460638, 26.23343072, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 30.29</div><input id='attrs-f041d80f-c6f4-4aca-bdaa-6868d0b6ee40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f041d80f-c6f4-4aca-bdaa-6868d0b6ee40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-631a0c8c-da37-4d1a-b052-81f662077b7e' class='xr-var-data-in' type='checkbox'><label for='data-631a0c8c-da37-4d1a-b052-81f662077b7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:36] tas_max_summer_fall: fa.TAS_MAX_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
        "        30.53145267, 31.93422015, 33.39342194, 31.71860745, 30.43126315,\n",
        "        33.16331222, 28.37168961, 32.45545356, 30.44989024, 32.1329486 ,\n",
        "        29.93451   , 30.3023172 , 30.04351186, 31.29059367, 27.78569721,\n",
@@ -2767,7 +2767,7 @@
        "        32.11178281, 27.36094918, 31.23530002, 28.88614308, 30.88460136,\n",
        "        28.03303595, 30.18193024, 31.76906317, 31.63901491, 26.83474853,\n",
        "        33.37150503, 31.16902562, 31.21388901, 27.63115102, 34.46092142,\n",
-       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 32.24</div><input id='attrs-fbd334a8-2c67-4ab2-a753-3123a0ec9e4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbd334a8-2c67-4ab2-a753-3123a0ec9e4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-083a7463-9f4a-4adf-9152-cd5fd63618c8' class='xr-var-data-in' type='checkbox'><label for='data-083a7463-9f4a-4adf-9152-cd5fd63618c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_max_year: fa.TAS_MAX_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
+       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 30.28972022]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_max_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.24 32.11 33.11 ... 30.66 32.24</div><input id='attrs-824e3457-c443-4a48-9f2b-9e452cc1a4c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-824e3457-c443-4a48-9f2b-9e452cc1a4c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3d89f12-bdbb-4c7d-8305-323ca3f016e6' class='xr-var-data-in' type='checkbox'><label for='data-a3d89f12-bdbb-4c7d-8305-323ca3f016e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_max_year: fa.TAS_MAX_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual maximum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[31.23996103, 32.10647083, 33.10613756, 30.21855922, 31.14183534,\n",
        "        30.53145267, 31.93422015, 33.48695397, 31.71860745, 30.43126315,\n",
        "        33.16331222, 29.45845522, 32.45545356, 32.07804509, 34.08436674,\n",
        "        29.93451   , 31.38521307, 30.04351186, 31.29059367, 27.78569721,\n",
@@ -2784,7 +2784,7 @@
        "        32.11178281, 28.50182986, 31.23530002, 31.02018307, 34.82043507,\n",
        "        28.03303595, 30.18193024, 31.76906317, 31.63901491, 26.83474853,\n",
        "        33.37150503, 31.16902562, 31.21388901, 27.63115102, 34.46092142,\n",
-       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.86 -16.34 ... -16.31 -10.03</div><input id='attrs-f97e51a8-8281-411a-bb47-1cc72784da84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f97e51a8-8281-411a-bb47-1cc72784da84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-419553c9-0a0c-4bdd-acb7-763a1d7bc106' class='xr-var-data-in' type='checkbox'><label for='data-419553c9-0a0c-4bdd-acb7-763a1d7bc106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_mean_01: fa.TAS_MEAN_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-15.86497321, -16.33969214,  -9.5379092 , -12.50628881,\n",
+       "        31.99623582, 31.97687612, 26.92012936, 30.65900392, 32.24456521]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.86 -16.34 ... -16.31 -10.03</div><input id='attrs-fe55aac5-d5ee-4188-b860-3e13ae59266b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe55aac5-d5ee-4188-b860-3e13ae59266b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ba6cc1c-9085-45a5-8e4e-8a762a4964e2' class='xr-var-data-in' type='checkbox'><label for='data-0ba6cc1c-9085-45a5-8e4e-8a762a4964e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_01: fa.TAS_MEAN_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-15.86497321, -16.33969214,  -9.5379092 , -12.50628881,\n",
        "        -14.69625288, -10.93495449, -11.05264325,  -9.49931318,\n",
        "         -8.85270443,  -5.1113085 , -11.4012696 , -12.43469499,\n",
        "        -11.25345114, -17.60201008,  -7.29116191, -11.9134013 ,\n",
@@ -2807,7 +2807,7 @@
        "        -13.85377924,  -9.4898169 , -12.67474909, -13.54329138,\n",
        "        -10.51213507,  -7.49308621, -15.51268248, -18.23541792,\n",
        "        -14.82890051,  -7.07876572, -10.22231221,  -9.06304163,\n",
-       "        -16.31290385, -10.03479048]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.475 -10.31 ... -9.99 -8.503</div><input id='attrs-cefd080a-1407-4125-8845-7ff088ee71fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cefd080a-1407-4125-8845-7ff088ee71fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-977a9894-6197-4018-b081-ce3086e998a4' class='xr-var-data-in' type='checkbox'><label for='data-977a9894-6197-4018-b081-ce3086e998a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_mean_02: fa.TAS_MEAN_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -2.47509696, -10.30819772,  -7.43584723,  -4.16102895,\n",
+       "        -16.31290385, -10.03479048]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.475 -10.31 ... -9.99 -8.503</div><input id='attrs-d345e9a0-0cfb-4263-a523-3b1d363bcab3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d345e9a0-0cfb-4263-a523-3b1d363bcab3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-837aac61-aebf-4769-8f62-189334724747' class='xr-var-data-in' type='checkbox'><label for='data-837aac61-aebf-4769-8f62-189334724747' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_02: fa.TAS_MEAN_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -2.47509696, -10.30819772,  -7.43584723,  -4.16102895,\n",
        "         -7.24039875, -10.35927009, -11.65229745,  -8.51372551,\n",
        "        -10.30816849,  -8.64124854,  -6.94455197,  -9.64027571,\n",
        "        -14.51886715, -12.28660336, -10.91155566,  -9.50406365,\n",
@@ -2830,7 +2830,7 @@
        "        -10.26513697,  -5.40606857,  -7.84709827,  -8.56021337,\n",
        "        -10.67889234,  -8.6374    , -14.5015305 ,  -9.44094633,\n",
        "         -8.7514507 , -10.80998145, -14.62965932, -11.11796461,\n",
-       "         -9.99043049,  -8.50322186]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.635 -3.247 ... -5.003 -0.9097</div><input id='attrs-1f292eb3-1c81-4f9a-b9d9-fd4fe8be8a6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f292eb3-1c81-4f9a-b9d9-fd4fe8be8a6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f84e37d-8e34-480e-91f9-2262dfbad985' class='xr-var-data-in' type='checkbox'><label for='data-9f84e37d-8e34-480e-91f9-2262dfbad985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:57] tas_mean_03: fa.TAS_MEAN_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-1.63544624, -3.24685069, -1.57580582, -6.67214365, -3.61207681,\n",
+       "         -9.99043049,  -8.50322186]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.635 -3.247 ... -5.003 -0.9097</div><input id='attrs-42ab15ef-982d-4c55-8d47-60c34250cf5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42ab15ef-982d-4c55-8d47-60c34250cf5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62d864c4-8025-4eaf-a3ee-64ca7b1e6437' class='xr-var-data-in' type='checkbox'><label for='data-62d864c4-8025-4eaf-a3ee-64ca7b1e6437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_03: fa.TAS_MEAN_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-1.63544624, -3.24685069, -1.57580582, -6.67214365, -3.61207681,\n",
        "        -2.55116747, -1.27056596, -3.75577746, -5.44447142, -2.8805535 ,\n",
        "        -1.64632594, -5.58901258, -4.51408736, -2.81521978, -1.24918128,\n",
        "        -3.76949835, -5.00317966, -1.89197577, -2.25587612,  0.79149641,\n",
@@ -2847,7 +2847,7 @@
        "        -4.69894272, -8.11205475, -5.29567229, -4.92897965, -2.69080046,\n",
        "        -7.32382738, -7.14071764, -3.50634867, -5.11284617, -1.08615268,\n",
        "        -5.40585887, -6.38115556, -6.17811086, -3.27355144, -6.71115859,\n",
-       "        -4.26642457, -4.97868172, -7.20052555, -5.0029408 , -0.90970965]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.281 2.67 4.771 ... 2.527 6.691</div><input id='attrs-a2ff12a3-1da7-45df-8d1c-65df7e7e35f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2ff12a3-1da7-45df-8d1c-65df7e7e35f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ec12c1c-ea22-46e6-b637-8a6a5c401653' class='xr-var-data-in' type='checkbox'><label for='data-4ec12c1c-ea22-46e6-b637-8a6a5c401653' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_04: fa.TAS_MEAN_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 6.28109057,  2.66984247,  4.77084856,  5.81513123,  3.70726319,\n",
+       "        -4.26642457, -4.97868172, -7.20052555, -5.0029408 , -0.90970965]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.281 2.67 4.771 ... 2.527 6.691</div><input id='attrs-d196f7a1-d37d-4d81-bdc3-ed048ea52f6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d196f7a1-d37d-4d81-bdc3-ed048ea52f6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b34c1ac2-9dab-4635-b61b-c75bcc38d108' class='xr-var-data-in' type='checkbox'><label for='data-b34c1ac2-9dab-4635-b61b-c75bcc38d108' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_04: fa.TAS_MEAN_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 6.28109057,  2.66984247,  4.77084856,  5.81513123,  3.70726319,\n",
        "         7.88694114,  8.61879036,  5.8590799 ,  3.92507141,  5.71606466,\n",
        "         6.68971009,  4.14454043,  5.24044718,  4.16473368,  3.17204835,\n",
        "         4.58850744,  2.42582845,  6.3962715 ,  4.50863309,  3.72537499,\n",
@@ -2864,7 +2864,7 @@
        "         5.0274315 ,  0.95226039,  3.22254992,  2.25514841,  0.67340561,\n",
        "         0.21162372,  0.86564597,  5.31755017,  3.65541475,  2.46269804,\n",
        "         3.43081836,  2.52672748,  0.21846992,  2.01802392,  3.10713756,\n",
-       "         4.05594874,  3.25074258,  4.61734965,  2.52736919,  6.69078893]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.16 14.13 11.11 ... 9.281 13.1</div><input id='attrs-c384a16c-536a-4f76-9112-9eae6180dcb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c384a16c-536a-4f76-9112-9eae6180dcb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18b6bb7-5066-4769-b390-90aab016d436' class='xr-var-data-in' type='checkbox'><label for='data-e18b6bb7-5066-4769-b390-90aab016d436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_05: fa.TAS_MEAN_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.15798981, 14.12754246, 11.11322796, 11.24523919, 12.38268527,\n",
+       "         4.05594874,  3.25074258,  4.61734965,  2.52736919,  6.69078893]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.16 14.13 11.11 ... 9.281 13.1</div><input id='attrs-a065a1bd-478c-4159-8c85-f4b4c4bfa768' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a065a1bd-478c-4159-8c85-f4b4c4bfa768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8716dfe2-c0ec-4770-91fe-565341a741c9' class='xr-var-data-in' type='checkbox'><label for='data-8716dfe2-c0ec-4770-91fe-565341a741c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_05: fa.TAS_MEAN_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.15798981, 14.12754246, 11.11322796, 11.24523919, 12.38268527,\n",
        "        13.47558656, 12.91071042, 14.34820064, 14.29280239, 11.66833555,\n",
        "        14.68055209, 13.06170429, 12.93540742, 11.7397972 , 12.47959729,\n",
        "        11.67883228,  9.47060602, 16.6644246 , 15.93482494, 12.06595739,\n",
@@ -2881,7 +2881,7 @@
        "        13.20308846, 10.20791913, 10.2586133 ,  9.16520132,  9.83852381,\n",
        "         8.80686383,  6.56018839, 15.60386294, 13.75971234, 11.28393822,\n",
        "        12.08222762,  7.68490045, 10.22324944,  9.56554799,  9.68327798,\n",
-       "        12.19552089, 11.45497604,  8.95637094,  9.28085729, 13.09800446]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.27 17.17 19.02 ... 15.51 15.28</div><input id='attrs-9d67b1a6-5993-46db-a6d7-40466c2c2134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d67b1a6-5993-46db-a6d7-40466c2c2134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c26739f-c817-48ea-bea1-e197c92f315c' class='xr-var-data-in' type='checkbox'><label for='data-6c26739f-c817-48ea-bea1-e197c92f315c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_06: fa.TAS_MEAN_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.26507679, 17.17482526, 19.0160964 , 18.00491928, 16.37981808,\n",
+       "        12.19552089, 11.45497604,  8.95637094,  9.28085729, 13.09800446]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.27 17.17 19.02 ... 15.51 15.28</div><input id='attrs-e9c76ca7-aead-44a2-95c7-bc43a050e156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9c76ca7-aead-44a2-95c7-bc43a050e156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a26dc832-3119-4587-8568-3f5a3afc7d6f' class='xr-var-data-in' type='checkbox'><label for='data-a26dc832-3119-4587-8568-3f5a3afc7d6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_06: fa.TAS_MEAN_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.26507679, 17.17482526, 19.0160964 , 18.00491928, 16.37981808,\n",
        "        15.60605555, 18.71867416, 17.76130347, 18.52897791, 17.87974495,\n",
        "        19.34120491, 17.58224456, 17.55651857, 19.15910273, 20.21092894,\n",
        "        18.38769224, 19.38101058, 18.26093618, 20.42136401, 16.5314388 ,\n",
@@ -2898,7 +2898,7 @@
        "        17.50706547, 14.15727312, 14.72275277, 16.08168981, 18.45292009,\n",
        "        16.61313548, 17.61860434, 16.31435919, 18.03357467, 14.35459826,\n",
        "        17.0149137 , 15.03605577, 16.08504075, 14.41624896, 18.96577871,\n",
-       "        16.68911407, 16.9279979 , 16.06885601, 15.51264093, 15.27824661]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.63 20.64 21.2 ... 16.42 20.16</div><input id='attrs-02445771-a26a-494c-919c-91deea437b1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02445771-a26a-494c-919c-91deea437b1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eee2c2a1-b326-4216-8ceb-87b1d187d388' class='xr-var-data-in' type='checkbox'><label for='data-eee2c2a1-b326-4216-8ceb-87b1d187d388' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_07: fa.TAS_MEAN_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[20.63237781, 20.64445013, 21.19939663, 20.48925845, 20.6386401 ,\n",
+       "        16.68911407, 16.9279979 , 16.06885601, 15.51264093, 15.27824661]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.63 20.64 21.2 ... 16.42 20.16</div><input id='attrs-4bf24f43-3683-47c0-8fb7-f720fb98a9e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bf24f43-3683-47c0-8fb7-f720fb98a9e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d138b2b2-e4a1-42c7-a7b0-f63dd222faf9' class='xr-var-data-in' type='checkbox'><label for='data-d138b2b2-e4a1-42c7-a7b0-f63dd222faf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_07: fa.TAS_MEAN_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[20.63237781, 20.64445013, 21.19939663, 20.48925845, 20.6386401 ,\n",
        "        19.09271198, 20.98279724, 22.0321663 , 21.2249513 , 20.64175005,\n",
        "        21.0802319 , 18.02536485, 21.14713932, 21.23441088, 21.89557947,\n",
        "        19.52192175, 20.36199651, 20.28828065, 21.80756033, 19.10713126,\n",
@@ -2915,7 +2915,7 @@
        "        19.26759522, 15.36116032, 19.36589918, 18.55584662, 18.7720773 ,\n",
        "        16.88272442, 18.81599298, 18.48894478, 19.76529777, 16.9515714 ,\n",
        "        17.9009592 , 19.46480189, 18.25731191, 18.41356263, 20.64177334,\n",
-       "        19.84816803, 17.84146715, 17.96546836, 16.42430602, 20.15591795]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.9 17.18 20.18 ... 17.38 18.67</div><input id='attrs-4d2a9965-bbe9-44a3-b3e3-aeff552e4266' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d2a9965-bbe9-44a3-b3e3-aeff552e4266' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f036fad-6c40-4f3f-a7c6-2384d41a9931' class='xr-var-data-in' type='checkbox'><label for='data-8f036fad-6c40-4f3f-a7c6-2384d41a9931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_08: fa.TAS_MEAN_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.90264285, 17.18295131, 20.17820786, 20.63965515, 19.2324178 ,\n",
+       "        19.84816803, 17.84146715, 17.96546836, 16.42430602, 20.15591795]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.9 17.18 20.18 ... 17.38 18.67</div><input id='attrs-45d13fe7-9f7c-4d2e-92c2-75db2c8ab203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d13fe7-9f7c-4d2e-92c2-75db2c8ab203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-519d9c02-54be-4428-a86f-6f768f49bba6' class='xr-var-data-in' type='checkbox'><label for='data-519d9c02-54be-4428-a86f-6f768f49bba6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_08: fa.TAS_MEAN_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[18.90264285, 17.18295131, 20.17820786, 20.63965515, 19.2324178 ,\n",
        "        17.98852988, 18.46625813, 20.52358761, 19.64000974, 20.03763804,\n",
        "        20.35198589, 18.55748576, 20.5487149 , 18.21967495, 20.39550824,\n",
        "        19.56920167, 18.51551095, 20.11472139, 19.2621412 , 19.0012329 ,\n",
@@ -2932,7 +2932,7 @@
        "        18.31791621, 15.37384384, 19.07219439, 15.95837958, 18.99366362,\n",
        "        17.96614258, 16.14428434, 18.40315586, 17.05361115, 16.9784695 ,\n",
        "        19.73867992, 18.94858976, 18.85744473, 16.09876938, 19.15360731,\n",
-       "        17.20450945, 18.23574136, 17.10623724, 17.3765655 , 18.67347748]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.0 14.88 16.88 ... 13.66 12.74</div><input id='attrs-16c57c82-58a8-454c-a461-10b5e874e09e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16c57c82-58a8-454c-a461-10b5e874e09e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c09dc0-c0a2-40fa-ab82-a1a2b6ca1742' class='xr-var-data-in' type='checkbox'><label for='data-d1c09dc0-c0a2-40fa-ab82-a1a2b6ca1742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_09: fa.TAS_MEAN_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.9985401 , 14.88084599, 16.8803223 , 13.36136243, 15.76881612,\n",
+       "        17.20450945, 18.23574136, 17.10623724, 17.3765655 , 18.67347748]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.0 14.88 16.88 ... 13.66 12.74</div><input id='attrs-cf3248a5-2baa-4677-a3a3-609b64860a44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf3248a5-2baa-4677-a3a3-609b64860a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d328b48c-8738-4ae5-b5a8-712d24146e93' class='xr-var-data-in' type='checkbox'><label for='data-d328b48c-8738-4ae5-b5a8-712d24146e93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_09: fa.TAS_MEAN_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[13.9985401 , 14.88084599, 16.8803223 , 13.36136243, 15.76881612,\n",
        "        12.93856627, 14.40450378, 14.14041918, 15.50094399, 14.27565277,\n",
        "        13.43692367, 14.99551581, 14.19524746, 14.19630287, 13.25643215,\n",
        "        15.54744704, 14.41026491, 15.41359308, 17.30026076, 13.85983273,\n",
@@ -2949,7 +2949,7 @@
        "        12.03762439, 12.52501118, 11.51632542, 13.14878653, 11.40945354,\n",
        "        14.88674668, 12.7886566 , 13.8129469 , 15.32127038, 12.33790751,\n",
        "        13.37515171, 16.17240412, 14.92501038, 15.76031182, 15.872611  ,\n",
-       "        12.11981614, 14.95579072, 13.54880361, 13.66271616, 12.74184513]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.902 8.552 8.135 ... 4.924 6.089</div><input id='attrs-63e8e587-c8f1-40db-95cb-a25cf2cba3f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63e8e587-c8f1-40db-95cb-a25cf2cba3f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f52838df-c410-4f0e-886a-cf61d86b399b' class='xr-var-data-in' type='checkbox'><label for='data-f52838df-c410-4f0e-886a-cf61d86b399b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_10: fa.TAS_MEAN_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.90153404,  8.55247292,  8.1353644 ,  8.69653317,  8.65264187,\n",
+       "        12.11981614, 14.95579072, 13.54880361, 13.66271616, 12.74184513]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.902 8.552 8.135 ... 4.924 6.089</div><input id='attrs-50e56f3c-1562-4736-9565-59eda3fa6012' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50e56f3c-1562-4736-9565-59eda3fa6012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-769c8075-aed4-4be4-b0be-7c0442d9c777' class='xr-var-data-in' type='checkbox'><label for='data-769c8075-aed4-4be4-b0be-7c0442d9c777' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_10: fa.TAS_MEAN_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.90153404,  8.55247292,  8.1353644 ,  8.69653317,  8.65264187,\n",
        "         7.25168887,  7.27060997,  6.35240971,  8.44210638,  8.44709298,\n",
        "         9.17088292,  6.16261716,  6.14102062,  9.19086769, 10.74392511,\n",
        "         7.60070745,  7.50901645,  8.97400156,  6.82429086,  8.08717615,\n",
@@ -2966,7 +2966,7 @@
        "         7.13685215,  4.29500826,  4.39184143,  7.79137092,  8.64114928,\n",
        "         6.70118214,  6.49658319,  7.34944895,  5.66683534,  7.31292994,\n",
        "         7.23627501,  4.75385387,  5.80929039,  7.73998045,  8.70238769,\n",
-       "         5.51958689,  9.85030054,  5.8710073 ,  4.92371996,  6.08872951]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6841 2.839 1.418 ... 2.622 0.2626</div><input id='attrs-2f80b800-937b-4b93-a5d6-9191d891ee96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f80b800-937b-4b93-a5d6-9191d891ee96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-161c826a-eac8-4f80-9003-5a74ac5e581a' class='xr-var-data-in' type='checkbox'><label for='data-161c826a-eac8-4f80-9003-5a74ac5e581a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_11: fa.TAS_MEAN_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.68409042,  2.83931276,  1.41829688,  1.84103032, -0.24380939,\n",
+       "         5.51958689,  9.85030054,  5.8710073 ,  4.92371996,  6.08872951]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6841 2.839 1.418 ... 2.622 0.2626</div><input id='attrs-96935a04-767c-4d82-a15b-c0147810f8ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96935a04-767c-4d82-a15b-c0147810f8ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b10de12e-a459-434f-ba0f-cde779302586' class='xr-var-data-in' type='checkbox'><label for='data-b10de12e-a459-434f-ba0f-cde779302586' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_11: fa.TAS_MEAN_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.68409042,  2.83931276,  1.41829688,  1.84103032, -0.24380939,\n",
        "        -1.05762507, -0.00508057,  2.38712249, -1.06956614,  1.20698385,\n",
        "         1.24993657,  0.34702189,  0.40961932,  3.05980446, -1.23203271,\n",
        "        -1.23446856,  0.40731791,  2.05271268,  3.79757672,  2.13591145,\n",
@@ -2983,7 +2983,7 @@
        "         0.04485371, -1.10250474, -1.75852294,  1.95478626, -3.24454828,\n",
        "        -2.41883879, -0.63376519,  0.72330371,  1.67868712,  0.232138  ,\n",
        "         2.57211106, -1.60411593,  0.81913001,  0.46447894,  0.31249959,\n",
-       "         1.60513614, -0.52815806, -0.09280369,  2.62163564,  0.26259895]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.924 -3.514 ... -8.129 -7.886</div><input id='attrs-10955ae4-fa85-473e-bfb5-aaf80b6acaa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10955ae4-fa85-473e-bfb5-aaf80b6acaa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c9140ee-dfc8-4c64-bf03-8c141a1acfe1' class='xr-var-data-in' type='checkbox'><label for='data-1c9140ee-dfc8-4c64-bf03-8c141a1acfe1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:19:58] tas_mean_12: fa.TAS_MEAN_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -4.92431534,  -3.51411334,  -9.02355408,  -5.57863816,\n",
+       "         1.60513614, -0.52815806, -0.09280369,  2.62163564,  0.26259895]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.924 -3.514 ... -8.129 -7.886</div><input id='attrs-3f93fad4-121d-48db-94d2-b8b3d837f811' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f93fad4-121d-48db-94d2-b8b3d837f811' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-400be921-303c-4ee3-96c7-b45f491a1487' class='xr-var-data-in' type='checkbox'><label for='data-400be921-303c-4ee3-96c7-b45f491a1487' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:38] tas_mean_12: fa.TAS_MEAN_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -4.92431534,  -3.51411334,  -9.02355408,  -5.57863816,\n",
        "         -9.6424834 ,  -6.62048797,  -5.74202546,  -8.4033055 ,\n",
        "        -17.75646673,  -5.23348689,  -9.01860591,  -4.93862971,\n",
        "         -7.29065447,  -5.4341121 ,  -8.85954331,  -2.65103358,\n",
@@ -3006,7 +3006,7 @@
        "         -7.20504368,  -4.51849179,  -6.37388693, -12.29216791,\n",
        "         -2.88074768,  -6.83984722,  -6.46736281, -10.27831361,\n",
        "         -7.86397296,  -3.02532917,  -8.54822597, -10.15492012,\n",
-       "         -8.12878371,  -7.88580852]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.974 4.407 5.195 ... 2.212 5.842</div><input id='attrs-281a6883-50f8-45a2-99d9-9cb095df14ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-281a6883-50f8-45a2-99d9-9cb095df14ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28aa03dd-2db7-4edf-9f06-0daf4fadedea' class='xr-var-data-in' type='checkbox'><label for='data-28aa03dd-2db7-4edf-9f06-0daf4fadedea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:00] tas_mean_spring: fa.TAS_MEAN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[6.97447018, 4.40662307, 5.19465239, 4.95908236, 4.76853682,\n",
+       "         -8.12878371,  -7.88580852]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.974 4.407 5.195 ... 2.212 5.842</div><input id='attrs-31fb1a06-9d27-4a4d-a972-41fecb71a482' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31fb1a06-9d27-4a4d-a972-41fecb71a482' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2ffc5a0-f26a-4a91-864c-2172d642b71b' class='xr-var-data-in' type='checkbox'><label for='data-e2ffc5a0-f26a-4a91-864c-2172d642b71b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:40] tas_mean_spring: fa.TAS_MEAN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[6.97447018, 4.40662307, 5.19465239, 4.95908236, 4.76853682,\n",
        "        5.44187127, 5.74485936, 5.53037528, 4.14562519, 4.70949719,\n",
        "        6.08216761, 4.09982601, 3.7708809 , 4.5016755 , 4.96081247,\n",
        "        4.68127346, 3.26788342, 6.97766316, 6.23659265, 5.28499071,\n",
@@ -3023,7 +3023,7 @@
        "        4.10872339, 1.51373221, 1.77391803, 2.25966328, 2.59219181,\n",
        "        1.27399763, 1.07894935, 5.52919155, 4.18564699, 4.02234864,\n",
        "        3.13918321, 1.77188053, 0.82591003, 2.7472056 , 2.60747921,\n",
-       "        3.53795665, 2.96692174, 1.90126715, 2.21151073, 5.84215155]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.59 14.04 15.09 ... 12.32 12.94</div><input id='attrs-8f8c65b0-ca41-4655-b25f-aae42bf644a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f8c65b0-ca41-4655-b25f-aae42bf644a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dfd396c-cc29-4c2e-be14-3c8bdcdf6d35' class='xr-var-data-in' type='checkbox'><label for='data-7dfd396c-cc29-4c2e-be14-3c8bdcdf6d35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:01] tas_mean_summer_fall: fa.TAS_MEAN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[13.59342073, 14.03981471, 15.08899962, 14.25872647, 14.44203195,\n",
+       "        3.53795665, 2.96692174, 1.90126715, 2.21151073, 5.84215155]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.59 14.04 15.09 ... 12.32 12.94</div><input id='attrs-1282f7e9-cc72-4ab1-bda6-17d9fc1531e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1282f7e9-cc72-4ab1-bda6-17d9fc1531e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-046c875d-b2b8-4928-821c-277f001cbdca' class='xr-var-data-in' type='checkbox'><label for='data-046c875d-b2b8-4928-821c-277f001cbdca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:42] tas_mean_summer_fall: fa.TAS_MEAN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[13.59342073, 14.03981471, 15.08899962, 14.25872647, 14.44203195,\n",
        "        12.7505142 , 13.98695407, 14.4955419 , 15.0739447 , 14.16474503,\n",
        "        14.49448558, 12.81562372, 14.09383546, 14.79895742, 15.14310412,\n",
        "        13.91634592, 14.10508016, 14.8312171 , 15.03550841, 14.04394863,\n",
@@ -3040,7 +3040,7 @@
        "        12.74913246, 10.23404942, 12.09384941, 12.91426934, 13.05778382,\n",
        "        12.36318139, 12.38534508, 13.24614373, 13.21157692, 12.268524  ,\n",
        "        13.482546  , 13.19713126, 13.14674081, 12.8019928 , 14.6280731 ,\n",
-       "        12.47661043, 13.51299185, 12.43678353, 12.31614796, 12.94174361]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.106 5.474 6.328 ... 3.632 5.55</div><input id='attrs-f4941205-99c4-40eb-96c7-ec3c0d743364' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4941205-99c4-40eb-96c7-ec3c0d743364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01de7fde-3337-46c3-acd7-5d24518111e7' class='xr-var-data-in' type='checkbox'><label for='data-01de7fde-3337-46c3-acd7-5d24518111e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_mean_year: fa.TAS_MEAN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[6.10632742, 5.47443821, 6.32783603, 5.94493331, 5.17112401,\n",
+       "        12.47661043, 13.51299185, 12.43678353, 12.31614796, 12.94174361]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.106 5.474 6.328 ... 3.632 5.55</div><input id='attrs-03eb3e44-2ec6-4b7e-9438-637dc79d9475' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03eb3e44-2ec6-4b7e-9438-637dc79d9475' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40786b2e-1fd3-43da-b573-e13d7c2f63c8' class='xr-var-data-in' type='checkbox'><label for='data-40786b2e-1fd3-43da-b573-e13d7c2f63c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:43] tas_mean_year: fa.TAS_MEAN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[6.10632742, 5.47443821, 6.32783603, 5.94493331, 5.17112401,\n",
        "        5.3147705 , 6.06659042, 6.13961005, 4.92069959, 6.58949512,\n",
        "        6.48474021, 5.05679139, 5.16356435, 5.32635209, 6.16046485,\n",
        "        5.69486786, 5.13045281, 7.51954488, 7.17605244, 5.53578725,\n",
@@ -3057,7 +3057,7 @@
        "        4.93102731, 2.77582596, 3.42911725, 3.39660042, 4.03284198,\n",
        "        3.43550211, 3.4145967 , 6.15346014, 5.30311417, 3.89983707,\n",
        "        5.41337212, 4.53823974, 3.6446109 , 3.62614968, 4.91786511,\n",
-       "        5.43506081, 4.57911614, 3.90721268, 3.63206007, 5.55047525]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-8b9f07dc-938d-4b0e-be2f-6a0e8a7d9738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b9f07dc-938d-4b0e-be2f-6a0e8a7d9738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-599b7536-c398-44be-b340-a651c4babd8e' class='xr-var-data-in' type='checkbox'><label for='data-599b7536-c398-44be-b340-a651c4babd8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_01: fa.TAS_MIN_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -23.98409672, -27.73548051,\n",
+       "        5.43506081, 4.57911614, 3.90721268, 3.63206007, 5.55047525]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-c964b1c3-1c4d-4272-9b19-c3d410d4fd96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c964b1c3-1c4d-4272-9b19-c3d410d4fd96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36af4399-69ad-43dc-8501-79f167f86d55' class='xr-var-data-in' type='checkbox'><label for='data-36af4399-69ad-43dc-8501-79f167f86d55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:43] tas_min_01: fa.TAS_MIN_01(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -23.98409672, -27.73548051,\n",
        "        -26.87303784, -29.6028481 , -27.95685514, -30.63972644,\n",
        "        -27.91691439, -21.50029051, -29.67321455, -33.58177266,\n",
        "        -30.68331723, -34.08426609, -35.27256866, -28.93838321,\n",
@@ -3080,7 +3080,7 @@
        "        -33.06320284, -29.13707486, -31.48640747, -30.96090306,\n",
        "        -23.20993496, -21.36207271, -30.24601114, -35.1453194 ,\n",
        "        -31.49808444, -25.06021778, -28.74296546, -27.52218383,\n",
-       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.24 -20.49 ... -25.92 -20.54</div><input id='attrs-42c5adf0-7c3f-4b8b-bb49-041bb5886dbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42c5adf0-7c3f-4b8b-bb49-041bb5886dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc123688-c229-434f-a997-03accdc4dbb6' class='xr-var-data-in' type='checkbox'><label for='data-bc123688-c229-434f-a997-03accdc4dbb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_02: fa.TAS_MIN_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[-23.24032522, -20.48653586, -26.15094286, -23.03023651,\n",
+       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.24 -20.49 ... -25.92 -20.54</div><input id='attrs-7a1605b6-e6fb-47c5-ae6e-033357cd303f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a1605b6-e6fb-47c5-ae6e-033357cd303f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7dc5773-730f-4a46-beba-97ee7987bb96' class='xr-var-data-in' type='checkbox'><label for='data-b7dc5773-730f-4a46-beba-97ee7987bb96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:43] tas_min_02: fa.TAS_MIN_02(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[-23.24032522, -20.48653586, -26.15094286, -23.03023651,\n",
        "        -26.2771112 , -24.50412917, -26.11264203, -26.20335354,\n",
        "        -26.23822722, -24.93641924, -22.04698123, -26.570472  ,\n",
        "        -34.27246288, -28.11063767, -28.13070012, -27.96613667,\n",
@@ -3103,7 +3103,7 @@
        "        -25.20683637, -23.25078755, -23.99480641, -23.39616611,\n",
        "        -23.94499328, -25.27237972, -31.04427394, -26.18999563,\n",
        "        -21.10859918, -23.08716733, -28.34773274, -25.39293754,\n",
-       "        -25.91627393, -20.53731995]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-21.91 -24.26 ... -23.2 -16.09</div><input id='attrs-8a7e63d4-311f-40b4-a678-0b3ea91c840e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7e63d4-311f-40b4-a678-0b3ea91c840e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd4154c8-51f1-4bec-8ec9-7e574e4347f1' class='xr-var-data-in' type='checkbox'><label for='data-bd4154c8-51f1-4bec-8ec9-7e574e4347f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_03: fa.TAS_MIN_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-21.90744391, -24.25802268, -18.06202688, -23.93256492,\n",
+       "        -25.91627393, -20.53731995]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-21.91 -24.26 ... -23.2 -16.09</div><input id='attrs-dc28d55f-ad68-4359-8442-829f7a4df179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc28d55f-ad68-4359-8442-829f7a4df179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0db84eda-9f57-4a38-8442-e3c9f596e8f0' class='xr-var-data-in' type='checkbox'><label for='data-0db84eda-9f57-4a38-8442-e3c9f596e8f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:43] tas_min_03: fa.TAS_MIN_03(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[-21.90744391, -24.25802268, -18.06202688, -23.93256492,\n",
        "        -21.60307959, -21.44121049, -20.49299461, -19.36902588,\n",
        "        -27.46490141, -19.87414559, -15.50073208, -24.14234385,\n",
        "        -21.90291328, -20.95091628, -23.02458304, -19.6594139 ,\n",
@@ -3126,7 +3126,7 @@
        "        -18.51488066, -21.41782114, -21.73457774, -17.45580565,\n",
        "        -20.68520394, -20.64642098, -29.89676726, -17.80527837,\n",
        "        -21.00814125, -18.90584236, -29.07749998, -20.51195495,\n",
-       "        -23.20109368, -16.08788734]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.74 -15.53 -7.75 ... -10.1 -2.064</div><input id='attrs-15ded464-feb9-4e30-a62b-38643e13809a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15ded464-feb9-4e30-a62b-38643e13809a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9454b91-d72b-42e3-acd0-a83ac2e45de0' class='xr-var-data-in' type='checkbox'><label for='data-c9454b91-d72b-42e3-acd0-a83ac2e45de0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_04: fa.TAS_MIN_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -8.74049209, -15.52587755,  -7.74962778,  -7.58484483,\n",
+       "        -23.20109368, -16.08788734]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.74 -15.53 -7.75 ... -10.1 -2.064</div><input id='attrs-9553796f-40f5-449c-bc95-f73a50b523fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9553796f-40f5-449c-bc95-f73a50b523fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea5ec26a-487d-4988-aa20-36d92d7922fc' class='xr-var-data-in' type='checkbox'><label for='data-ea5ec26a-487d-4988-aa20-36d92d7922fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:43] tas_min_04: fa.TAS_MIN_04(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ -8.74049209, -15.52587755,  -7.74962778,  -7.58484483,\n",
        "        -11.7496682 ,  -3.6511601 ,  -4.98794901,  -2.52939796,\n",
        "         -6.86393175, -13.63067849,  -3.91534536,  -8.82062482,\n",
        "         -6.26783275, -12.87169967, -14.86832359,  -8.23557019,\n",
@@ -3149,7 +3149,7 @@
        "        -16.50616913,  -4.40466679,  -7.29883748, -10.05228734,\n",
        "         -7.41777812, -14.3646413 , -16.38820796, -16.1535478 ,\n",
        "         -7.29588856, -11.01646958, -10.69801473, -11.8455009 ,\n",
-       "        -10.10184105,  -2.06391094]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.607 2.965 1.848 ... -0.632 -5.043</div><input id='attrs-b09a8341-bff3-4355-bd4c-ef945600afe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b09a8341-bff3-4355-bd4c-ef945600afe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c66716b-abae-4822-9753-cea6f2b3d9b2' class='xr-var-data-in' type='checkbox'><label for='data-5c66716b-abae-4822-9753-cea6f2b3d9b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_05: fa.TAS_MIN_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.60663809,  2.96479979,  1.84836247,  1.63702019,  1.05182708,\n",
+       "        -10.10184105,  -2.06391094]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.607 2.965 1.848 ... -0.632 -5.043</div><input id='attrs-60fa546c-eda8-4bf8-b23e-f0571cab3ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60fa546c-eda8-4bf8-b23e-f0571cab3ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cbf9b89-ecbe-440b-9515-f5b12807b3cb' class='xr-var-data-in' type='checkbox'><label for='data-8cbf9b89-ecbe-440b-9515-f5b12807b3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:43] tas_min_05: fa.TAS_MIN_05(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.60663809,  2.96479979,  1.84836247,  1.63702019,  1.05182708,\n",
        "        -1.86535263,  0.07031216,  3.13402533,  2.22974842,  3.25561453,\n",
        "         3.58788766,  0.11737335,  4.1581919 , -1.16480411, -1.18652362,\n",
        "         1.75574715, -0.16542834,  8.67854192,  2.56457035,  1.54552661,\n",
@@ -3166,7 +3166,7 @@
        "        -2.3885714 , -2.91207027,  1.26575737, -1.59995583, -2.43163456,\n",
        "        -2.41846762, -3.51455752,  4.36847421,  0.97875004, -0.81707663,\n",
        "        -0.03940523, -1.13799329, -1.99047459, -3.81584973, -3.84584232,\n",
-       "        -1.45212772, -1.11548706, -3.44074921, -0.6320417 , -5.0428893 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.753 8.274 6.496 ... 3.33 5.581</div><input id='attrs-7efd3ee4-7ebb-4796-a5a4-d74fb2b2f0ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7efd3ee4-7ebb-4796-a5a4-d74fb2b2f0ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df633432-3375-4bea-b98a-0ecf8be21b74' class='xr-var-data-in' type='checkbox'><label for='data-df633432-3375-4bea-b98a-0ecf8be21b74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_06: fa.TAS_MIN_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.75302532,  8.27368685,  6.49604579,  7.98140173,  7.88368259,\n",
+       "        -1.45212772, -1.11548706, -3.44074921, -0.6320417 , -5.0428893 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.753 8.274 6.496 ... 3.33 5.581</div><input id='attrs-ccf7dfbc-0d9c-4f48-8329-724c0e548427' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccf7dfbc-0d9c-4f48-8329-724c0e548427' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9b893f6-14e2-45fa-b10c-acdee695910b' class='xr-var-data-in' type='checkbox'><label for='data-c9b893f6-14e2-45fa-b10c-acdee695910b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_06: fa.TAS_MIN_06(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.75302532,  8.27368685,  6.49604579,  7.98140173,  7.88368259,\n",
        "         4.21913442,  9.98836156,  7.10533971,  9.12883168,  6.21952575,\n",
        "        10.56083361,  8.38550071,  7.09235976,  7.95860205,  9.37389345,\n",
        "        11.27760426,  9.78768689,  7.56164715,  9.7056936 ,  6.4618496 ,\n",
@@ -3183,7 +3183,7 @@
        "         4.91990182,  2.9602666 ,  3.63241646,  3.25093006,  3.90399782,\n",
        "         7.24130813,  6.3111134 ,  2.6934426 ,  5.82253069,  3.70343553,\n",
        "         5.56098885,  2.19494149,  1.16040005,  3.80982191,  8.74908484,\n",
-       "         2.87265061,  1.62078521,  6.39691558,  3.32987132,  5.58091269]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.18 9.327 11.33 ... 7.984 9.167</div><input id='attrs-f64723c1-1e69-493f-acbb-742a43730aa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f64723c1-1e69-493f-acbb-742a43730aa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6990e025-2647-4e73-acd2-734390a1cd7e' class='xr-var-data-in' type='checkbox'><label for='data-6990e025-2647-4e73-acd2-734390a1cd7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_07: fa.TAS_MIN_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[12.18469817,  9.32696473, 11.328991  , 13.31717579, 12.58696222,\n",
+       "         2.87265061,  1.62078521,  6.39691558,  3.32987132,  5.58091269]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.18 9.327 11.33 ... 7.984 9.167</div><input id='attrs-4bd0ae68-9776-4b7e-8e36-2347877d4ff3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bd0ae68-9776-4b7e-8e36-2347877d4ff3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-302b81d1-993c-4a2d-82d2-d9f7b5e5bea5' class='xr-var-data-in' type='checkbox'><label for='data-302b81d1-993c-4a2d-82d2-d9f7b5e5bea5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_07: fa.TAS_MIN_07(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[12.18469817,  9.32696473, 11.328991  , 13.31717579, 12.58696222,\n",
        "         9.62432783, 11.10270106, 11.3669321 , 13.1554508 , 10.81395653,\n",
        "        12.10695437, 10.69577076, 13.51346606, 13.60289909, 14.06064332,\n",
        "        12.85974249, 11.41497109, 13.51044378, 13.23284515, 11.6373998 ,\n",
@@ -3200,7 +3200,7 @@
        "         9.24647923,  6.40324147,  9.93431265,  9.65499345, 10.3059734 ,\n",
        "         9.70865636,  9.47690845, 10.64295436, 10.01987687,  8.54124687,\n",
        "         5.99534417,  8.23775354, 11.47190641,  8.42311913,  8.90795073,\n",
-       "        11.5363046 ,  8.03876537, 10.33283293,  7.98401326,  9.16714573]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.27 7.381 11.59 ... 8.633 9.459</div><input id='attrs-72fb0e2e-699d-4aa0-8705-2442aceb9866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72fb0e2e-699d-4aa0-8705-2442aceb9866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6095f06-d533-4176-a0e7-7f6530e459ff' class='xr-var-data-in' type='checkbox'><label for='data-d6095f06-d533-4176-a0e7-7f6530e459ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_08: fa.TAS_MIN_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.27225087,  7.38108088, 11.58806545, 10.34108347,  9.96852364,\n",
+       "        11.5363046 ,  8.03876537, 10.33283293,  7.98401326,  9.16714573]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.27 7.381 11.59 ... 8.633 9.459</div><input id='attrs-6666e0d2-8aba-47e5-86f9-3c690ac6c597' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6666e0d2-8aba-47e5-86f9-3c690ac6c597' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9b7e06-197b-4d92-adae-b114257cd304' class='xr-var-data-in' type='checkbox'><label for='data-bb9b7e06-197b-4d92-adae-b114257cd304' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_08: fa.TAS_MIN_08(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[10.27225087,  7.38108088, 11.58806545, 10.34108347,  9.96852364,\n",
        "         6.98060629,  8.24855999, 10.14812104,  9.44685802, 10.42769426,\n",
        "        11.3103237 ,  9.98842448, 10.73346141, 10.2996488 , 10.6466764 ,\n",
        "        11.71478022, 11.43523521, 11.91831676, 11.20564048, 10.20356616,\n",
@@ -3217,7 +3217,7 @@
        "         9.84616942,  8.2482853 ,  9.81668684,  8.81846215,  8.37379909,\n",
        "         8.39149302,  9.4601115 ,  9.60878655,  9.29089452,  7.30887075,\n",
        "         9.66302087,  9.15454401,  9.8448325 ,  7.02501616, 11.06116325,\n",
-       "         8.51731983,  9.03674219,  8.98153087,  8.63325748,  9.45858976]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.872 6.597 5.539 ... 2.754 6.188</div><input id='attrs-a785cc17-2350-476b-b6a7-d2c63ff94ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a785cc17-2350-476b-b6a7-d2c63ff94ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d6f7ca7-5ff9-4ad5-b252-42e74071f1b5' class='xr-var-data-in' type='checkbox'><label for='data-1d6f7ca7-5ff9-4ad5-b252-42e74071f1b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:03] tas_min_09: fa.TAS_MIN_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.87205829,  6.59656507,  5.53892389,  3.75540178,  6.76058985,\n",
+       "         8.51731983,  9.03674219,  8.98153087,  8.63325748,  9.45858976]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.872 6.597 5.539 ... 2.754 6.188</div><input id='attrs-df8f7ccd-5ea8-46b5-81cc-ecfba5da00c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df8f7ccd-5ea8-46b5-81cc-ecfba5da00c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb6484bd-e1b7-45cd-9dd8-ef7deaa5d162' class='xr-var-data-in' type='checkbox'><label for='data-eb6484bd-e1b7-45cd-9dd8-ef7deaa5d162' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_09: fa.TAS_MIN_09(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.87205829,  6.59656507,  5.53892389,  3.75540178,  6.76058985,\n",
        "         3.72438484,  3.76099007,  4.68511449,  3.70509872,  4.02832196,\n",
        "         0.35117403,  2.76631981,  3.33929474,  6.80467138,  3.09044334,\n",
        "         5.15584062,  3.04573766,  6.52114065,  6.54908592,  0.30966867,\n",
@@ -3234,7 +3234,7 @@
        "        -0.02819831,  0.12928581,  0.87053163,  5.17937723,  2.85081992,\n",
        "         3.95630619,  3.42176929,  3.91985958,  3.83793957,  1.13770369,\n",
        "         5.56159137,  6.83364566,  4.15205843,  5.44403959,  4.0470105 ,\n",
-       "         3.26614834,  4.85370488,  4.55361436,  2.75388448,  6.18757809]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.127 -0.7163 ... -2.594 -1.755</div><input id='attrs-8b5b457b-c226-46d3-8539-e38f6b8f90d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b5b457b-c226-46d3-8539-e38f6b8f90d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b3484d-ef4a-4ef9-8253-5d9b5340f540' class='xr-var-data-in' type='checkbox'><label for='data-e3b3484d-ef4a-4ef9-8253-5d9b5340f540' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:04] tas_min_10: fa.TAS_MIN_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[-2.1266733 , -0.71628144, -2.3397145 , -0.66671422, -1.83562681,\n",
+       "         3.26614834,  4.85370488,  4.55361436,  2.75388448,  6.18757809]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.127 -0.7163 ... -2.594 -1.755</div><input id='attrs-dded7243-a5ef-4f87-a37e-5924fcf5407d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dded7243-a5ef-4f87-a37e-5924fcf5407d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3d57847-ca3e-41d9-b972-e78f79ff4be3' class='xr-var-data-in' type='checkbox'><label for='data-f3d57847-ca3e-41d9-b972-e78f79ff4be3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_10: fa.TAS_MIN_10(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[-2.1266733 , -0.71628144, -2.3397145 , -0.66671422, -1.83562681,\n",
        "        -2.88810926, -1.19858006, -3.33815437, -0.11841713, -2.06722082,\n",
        "        -0.96223217, -3.60837444, -2.23688245,  1.33325412, -1.07813634,\n",
        "        -0.44506685, -2.91521901, -0.42096783, -3.19949096, -1.17323376,\n",
@@ -3251,7 +3251,7 @@
        "        -1.37193422, -4.28005239, -3.34142452, -0.24973456, -1.6648334 ,\n",
        "        -2.51831047, -4.62800113, -0.35838806, -2.08785935, -2.34522215,\n",
        "        -1.8813473 , -5.50989489, -1.51342148,  0.02453638, -0.14502417,\n",
-       "        -0.74261044, -1.20051181, -3.56721748, -2.59410429, -1.75513804]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-11.38 -15.49 ... -2.705 -8.084</div><input id='attrs-8da34691-50f1-4d48-bf13-ede102a9e613' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8da34691-50f1-4d48-bf13-ede102a9e613' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7557181-b8f1-4e58-ae2f-9d8470dbe98a' class='xr-var-data-in' type='checkbox'><label for='data-a7557181-b8f1-4e58-ae2f-9d8470dbe98a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:04] tas_min_11: fa.TAS_MIN_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[-11.37574816, -15.48983437, -10.25066423,  -8.8663083 ,\n",
+       "        -0.74261044, -1.20051181, -3.56721748, -2.59410429, -1.75513804]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-11.38 -15.49 ... -2.705 -8.084</div><input id='attrs-1fbfab15-09a4-40b0-a9bb-9ed45ba99e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fbfab15-09a4-40b0-a9bb-9ed45ba99e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d76949eb-726b-494c-9dd3-3af180c36826' class='xr-var-data-in' type='checkbox'><label for='data-d76949eb-726b-494c-9dd3-3af180c36826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_11: fa.TAS_MIN_11(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[-11.37574816, -15.48983437, -10.25066423,  -8.8663083 ,\n",
        "        -14.84128434, -15.66683602, -16.90083427,  -9.68735729,\n",
        "        -22.67691224,  -8.59161062,  -8.2885206 , -10.96747286,\n",
        "        -13.86646503, -12.18403461, -21.18867637, -19.09274316,\n",
@@ -3274,7 +3274,7 @@
        "        -10.98253663,  -5.64527945,  -7.65800277, -12.27608416,\n",
        "         -5.79736968, -10.9236015 ,  -8.11608689,  -8.75685486,\n",
        "        -11.87783135,  -6.23683989, -11.71598987, -10.15282188,\n",
-       "         -2.70450566,  -8.08401863]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-19.19 -21.18 ... -23.27 -17.79</div><input id='attrs-baeeb922-5e09-4c54-ab12-d212d7a7a8ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baeeb922-5e09-4c54-ab12-d212d7a7a8ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-185ee2b5-4697-45f0-bff8-e2f66989f3f9' class='xr-var-data-in' type='checkbox'><label for='data-185ee2b5-4697-45f0-bff8-e2f66989f3f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:04] tas_min_12: fa.TAS_MIN_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[-19.19203072, -21.18315122, -29.75868095, -28.4797135 ,\n",
+       "         -2.70450566,  -8.08401863]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-19.19 -21.18 ... -23.27 -17.79</div><input id='attrs-c82ef07c-e743-4943-b5f3-9e8d1e0672a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c82ef07c-e743-4943-b5f3-9e8d1e0672a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ee2a365-1c06-46e6-b4df-569107cd61a2' class='xr-var-data-in' type='checkbox'><label for='data-7ee2a365-1c06-46e6-b4df-569107cd61a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:44] tas_min_12: fa.TAS_MIN_12(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[-19.19203072, -21.18315122, -29.75868095, -28.4797135 ,\n",
        "        -32.25310336, -24.92181973, -22.78338902, -28.82746707,\n",
        "        -32.75489356, -25.44589588, -25.73698478, -24.03235532,\n",
        "        -34.0092637 , -24.73265243, -27.01572861, -26.78006988,\n",
@@ -3297,7 +3297,7 @@
        "        -27.77033098, -31.12906977, -24.00654438, -25.2325287 ,\n",
        "        -15.49686777, -23.69881783, -20.68091528, -34.50240905,\n",
        "        -22.79907671, -14.18215949, -24.52779026, -24.86531479,\n",
-       "        -23.27025903, -17.79176699]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-22.98 -24.26 ... -25.67 -19.78</div><input id='attrs-372fe65b-b335-48b3-8f97-80ac6b3f2118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-372fe65b-b335-48b3-8f97-80ac6b3f2118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dff9b8e-9aa2-41fe-85dd-447ac2c95112' class='xr-var-data-in' type='checkbox'><label for='data-1dff9b8e-9aa2-41fe-85dd-447ac2c95112' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:05] tas_min_spring: fa.TAS_MIN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[-22.98073649, -24.25802268, -26.15094286, -23.93256492,\n",
+       "        -23.27025903, -17.79176699]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-22.98 -24.26 ... -25.67 -19.78</div><input id='attrs-632d537e-2ed5-4a3a-93d8-9fd3895041f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-632d537e-2ed5-4a3a-93d8-9fd3895041f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6410fd06-43b7-4565-919f-5539e3d540e0' class='xr-var-data-in' type='checkbox'><label for='data-6410fd06-43b7-4565-919f-5539e3d540e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:46] tas_min_spring: fa.TAS_MIN_SPRING(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[-22.98073649, -24.25802268, -26.15094286, -23.93256492,\n",
        "        -21.60307959, -21.44121049, -26.11264203, -19.36902588,\n",
        "        -27.46490141, -24.93641924, -22.04698123, -25.13513481,\n",
        "        -28.81485771, -27.64842862, -27.10222712, -25.26938974,\n",
@@ -3320,7 +3320,7 @@
        "        -25.20683637, -23.25078755, -23.99480641, -21.02497527,\n",
        "        -23.94499328, -25.27237972, -31.04427394, -26.18999563,\n",
        "        -21.10859918, -23.08716733, -29.07749998, -25.39293754,\n",
-       "        -25.6674867 , -19.77575533]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.521 -5.482 ... -2.705 -5.949</div><input id='attrs-67252cbe-1565-4ae1-9c8b-2a1bc0daa97e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67252cbe-1565-4ae1-9c8b-2a1bc0daa97e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd230060-9e2a-4d20-8308-02861c6a3a6f' class='xr-var-data-in' type='checkbox'><label for='data-dd230060-9e2a-4d20-8308-02861c6a3a6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:07] tas_min_summer_fall: fa.TAS_MIN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[ -5.52131029,  -5.48177058,  -9.67066386,  -8.8663083 ,\n",
+       "        -25.6674867 , -19.77575533]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.521 -5.482 ... -2.705 -5.949</div><input id='attrs-d98bf074-43e8-4342-8b78-b0f12eb2a152' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d98bf074-43e8-4342-8b78-b0f12eb2a152' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-939aa95b-9946-4fb8-9b72-b1b41b5e3847' class='xr-var-data-in' type='checkbox'><label for='data-939aa95b-9946-4fb8-9b72-b1b41b5e3847' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:47] tas_min_summer_fall: fa.TAS_MIN_SUMMER_FALL(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[ -5.52131029,  -5.48177058,  -9.67066386,  -8.8663083 ,\n",
        "        -10.48608959, -11.49370675,  -6.66899803,  -3.33815437,\n",
        "         -5.9140038 ,  -8.59161062,  -8.2885206 , -10.96747286,\n",
        "         -5.86382961,  -2.59945908,  -7.02874204,  -9.62813688,\n",
@@ -3343,7 +3343,7 @@
        "         -6.40598537,  -5.64527945,  -5.01863102,  -4.46908351,\n",
        "         -2.94861107, -10.9236015 ,  -8.11608689,  -6.77082689,\n",
        "         -9.03362635,  -6.23683989,  -4.99272244, -10.15282188,\n",
-       "         -2.70450566,  -5.94893369]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-ff53f225-e74f-4953-ba77-721b589526b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff53f225-e74f-4953-ba77-721b589526b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a75b4e0f-9f05-4ed1-9915-bb3907aaae48' class='xr-var-data-in' type='checkbox'><label for='data-a75b4e0f-9f05-4ed1-9915-bb3907aaae48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] tas_min_year: fa.TAS_MIN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -29.75868095, -28.4797135 ,\n",
+       "         -2.70450566,  -5.94893369]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_min_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-39.48 -32.72 ... -32.84 -28.53</div><input id='attrs-fb9cfaf4-c8e8-4861-8106-7434be2fb36c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb9cfaf4-c8e8-4861-8106-7434be2fb36c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f6eb277-e8f5-4437-a831-f68b65bbc522' class='xr-var-data-in' type='checkbox'><label for='data-2f6eb277-e8f5-4437-a831-f68b65bbc522' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Minimum of variable</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] tas_min_year: fa.TAS_MIN_YEAR(tas=tas) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual minimum of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[-39.48280706, -32.7245941 , -29.75868095, -28.4797135 ,\n",
        "        -32.25310336, -29.6028481 , -27.95685514, -30.63972644,\n",
        "        -32.75489356, -25.44589588, -29.67321455, -33.58177266,\n",
        "        -34.27246288, -34.08426609, -35.27256866, -28.93838321,\n",
@@ -3366,7 +3366,7 @@
        "        -33.06320284, -31.12906977, -31.48640747, -30.96090306,\n",
        "        -23.94499328, -25.27237972, -31.04427394, -35.1453194 ,\n",
        "        -31.49808444, -25.06021778, -29.07749998, -27.52218383,\n",
-       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.4 91.04 82.64 ... 43.93 53.78</div><input id='attrs-d0ce7749-51e1-47d7-9f2f-bfe3add7ac97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0ce7749-51e1-47d7-9f2f-bfe3add7ac97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b4d7382-c9a5-4904-bc0b-7272006747f1' class='xr-var-data-in' type='checkbox'><label for='data-1b4d7382-c9a5-4904-bc0b-7272006747f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_01: fa.PR_SUM_01(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 23.40379484,  91.04143722,  82.64005871,  40.41029484,\n",
+       "        -32.83536208, -28.52731729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.4 91.04 82.64 ... 43.93 53.78</div><input id='attrs-4d3646d2-c3e5-4b71-a4a1-53e9d5bc29f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d3646d2-c3e5-4b71-a4a1-53e9d5bc29f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ed0aa93-70ec-4f32-9107-be01ad5c0bfd' class='xr-var-data-in' type='checkbox'><label for='data-5ed0aa93-70ec-4f32-9107-be01ad5c0bfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] pr_sum_01: fa.PR_SUM_01(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 23.40379484,  91.04143722,  82.64005871,  40.41029484,\n",
        "         48.55065441, 131.87960013,  55.33038955,  44.16563065,\n",
        "         72.30947408, 110.13319539,  70.87246596,  91.88232249,\n",
        "         91.10925521,  91.52241532, 121.87976675,  88.57515252,\n",
@@ -3389,7 +3389,7 @@
        "        126.37862772,  68.70585697,  98.06520461,  68.03139358,\n",
        "         48.90044118,  43.8873818 ,  31.01840197,  49.25705773,\n",
        "         56.19506608, 100.09265196,  52.4847635 ,  85.18346326,\n",
-       "         43.931054  ,  53.77516217]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>177.2 53.98 91.72 ... 83.67 37.52</div><input id='attrs-6f1352b1-1abf-496a-bb7f-992832d6228f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f1352b1-1abf-496a-bb7f-992832d6228f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea6b1f49-9986-4cf8-8bab-81980c4bac64' class='xr-var-data-in' type='checkbox'><label for='data-ea6b1f49-9986-4cf8-8bab-81980c4bac64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_02: fa.PR_SUM_02(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[177.17798822,  53.97759765,  91.71653426,  92.48576961,\n",
+       "         43.931054  ,  53.77516217]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>177.2 53.98 91.72 ... 83.67 37.52</div><input id='attrs-22b6c7c0-3def-4965-a197-7664a9ba18d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22b6c7c0-3def-4965-a197-7664a9ba18d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-923284cc-bb5e-46ff-8bbf-f593e2650e71' class='xr-var-data-in' type='checkbox'><label for='data-923284cc-bb5e-46ff-8bbf-f593e2650e71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] pr_sum_02: fa.PR_SUM_02(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[177.17798822,  53.97759765,  91.71653426,  92.48576961,\n",
        "         64.83624274,  36.71568375,  13.29430318,  81.15170797,\n",
        "         41.36658384,  83.76051323,  39.82750558,  72.30888648,\n",
        "         61.58459056,  48.95666332,  53.89570583,  85.69516504,\n",
@@ -3412,7 +3412,7 @@
        "         90.35937003,  22.86906564,  44.6268815 ,  37.45887111,\n",
        "         75.67884995, 104.79783629,  42.7326452 ,  42.34879627,\n",
        "         37.134376  ,  77.01766293,  23.43398801,  57.63116738,\n",
-       "         83.67134002,  37.51646391]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.45 88.55 86.71 ... 47.01 2.956</div><input id='attrs-b8875c7d-0e49-414c-999b-b84b2b107e20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8875c7d-0e49-414c-999b-b84b2b107e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f54a99e-e750-47d5-bfd1-02e429c7f804' class='xr-var-data-in' type='checkbox'><label for='data-7f54a99e-e750-47d5-bfd1-02e429c7f804' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_03: fa.PR_SUM_03(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.45435938,  88.55005774,  86.71158029,  59.814298  ,\n",
+       "         83.67134002,  37.51646391]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.45 88.55 86.71 ... 47.01 2.956</div><input id='attrs-53466fc4-1b37-4508-a340-2bc37b00e11f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53466fc4-1b37-4508-a340-2bc37b00e11f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a2aa7c4-93eb-46e0-8af7-673ce3b49047' class='xr-var-data-in' type='checkbox'><label for='data-9a2aa7c4-93eb-46e0-8af7-673ce3b49047' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] pr_sum_03: fa.PR_SUM_03(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.45435938,  88.55005774,  86.71158029,  59.814298  ,\n",
        "         96.7350447 ,  84.53294489,  61.88789089,  32.51453934,\n",
        "         81.46883433,  68.14681715, 114.51763306, 101.27785518,\n",
        "         68.74753851,  60.74914155,  76.53382307,  30.24385767,\n",
@@ -3435,7 +3435,7 @@
        "         56.21508782, 135.63935041,  37.832658  ,  71.64160276,\n",
        "         33.73300829,  88.93288266,  62.54544996,  99.08406049,\n",
        "         45.19864215,  51.05165911,  63.37299224,  65.88778032,\n",
-       "         47.00695485,   2.95558853]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>99.17 82.77 152.9 ... 94.83 61.57</div><input id='attrs-cd4bcae5-170d-4a0f-b1de-30d1fca167fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd4bcae5-170d-4a0f-b1de-30d1fca167fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d6402b-cff0-445b-98d4-5712129fe89f' class='xr-var-data-in' type='checkbox'><label for='data-a5d6402b-cff0-445b-98d4-5712129fe89f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_04: fa.PR_SUM_04(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 99.17240755,  82.76876808, 152.93240144, 100.16712399,\n",
+       "         47.00695485,   2.95558853]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>99.17 82.77 152.9 ... 94.83 61.57</div><input id='attrs-fd25a1b7-3cbe-49e0-8715-742be89f4427' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd25a1b7-3cbe-49e0-8715-742be89f4427' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a37a8279-e5ca-4c1f-a3bb-0cd9c8654592' class='xr-var-data-in' type='checkbox'><label for='data-a37a8279-e5ca-4c1f-a3bb-0cd9c8654592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] pr_sum_04: fa.PR_SUM_04(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 99.17240755,  82.76876808, 152.93240144, 100.16712399,\n",
        "         87.85221728,  68.410618  ,  59.37821428,  98.92300666,\n",
        "         73.62114306,  87.9434617 , 103.7329961 ,  59.45533422,\n",
        "        135.00036785, 126.10403553,  68.24563203, 177.85847013,\n",
@@ -3458,7 +3458,7 @@
        "         48.48614729,  45.58666555,  29.14618276,  35.65131636,\n",
        "         50.03099038,  63.02808139,  59.43005809,  63.36476546,\n",
        "        110.90707888,  68.63719341, 103.2107956 ,  93.60900427,\n",
-       "         94.83228561,  61.5724462 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>106.0 25.13 220.9 ... 75.86 71.84</div><input id='attrs-d2e0861d-2558-4d99-b85b-f75c8641ba2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2e0861d-2558-4d99-b85b-f75c8641ba2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff30fc3d-7ffa-4674-8e6c-c0dea7d6c978' class='xr-var-data-in' type='checkbox'><label for='data-ff30fc3d-7ffa-4674-8e6c-c0dea7d6c978' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_05: fa.PR_SUM_05(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[105.98777541,  25.12964602, 220.87867421, 137.66181021,\n",
+       "         94.83228561,  61.5724462 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>106.0 25.13 220.9 ... 75.86 71.84</div><input id='attrs-edd57bdb-edfc-4f80-b9dd-a160b795a2a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edd57bdb-edfc-4f80-b9dd-a160b795a2a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3ffd873-356f-471b-9de1-2b852876ce38' class='xr-var-data-in' type='checkbox'><label for='data-e3ffd873-356f-471b-9de1-2b852876ce38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] pr_sum_05: fa.PR_SUM_05(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[105.98777541,  25.12964602, 220.87867421, 137.66181021,\n",
        "         81.15034541, 160.04263269, 103.9132546 ,  44.88273321,\n",
        "        152.88689606, 101.50936956,  76.72874124,  68.6265707 ,\n",
        "         94.2712895 , 122.15755427,  87.14602438, 110.71267957,\n",
@@ -3481,7 +3481,7 @@
        "        113.50199925,  53.4790055 , 108.35309736, 104.56294229,\n",
        "         85.39973449, 118.94706126,  73.85594312, 101.28141277,\n",
        "         45.21450675,  75.73072636,  31.56403791, 114.25818432,\n",
-       "         75.85904749,  71.8360614 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>162.8 113.4 40.59 ... 42.73 130.2</div><input id='attrs-1f99e8fe-b840-45d8-8ede-dbd33a02a0e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f99e8fe-b840-45d8-8ede-dbd33a02a0e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c274f33b-d152-4422-a5e2-feaf0430e52c' class='xr-var-data-in' type='checkbox'><label for='data-c274f33b-d152-4422-a5e2-feaf0430e52c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_06: fa.PR_SUM_06(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[162.80763946, 113.41829237,  40.59382135, 109.35459449,\n",
+       "         75.85904749,  71.8360614 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>162.8 113.4 40.59 ... 42.73 130.2</div><input id='attrs-2d95c4ec-0c13-4f67-a407-7a4d229713e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d95c4ec-0c13-4f67-a407-7a4d229713e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c34ccef2-6533-4758-96a9-57122e830013' class='xr-var-data-in' type='checkbox'><label for='data-c34ccef2-6533-4758-96a9-57122e830013' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:49] pr_sum_06: fa.PR_SUM_06(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[162.80763946, 113.41829237,  40.59382135, 109.35459449,\n",
        "        102.95640645, 141.35983124, 124.77037438,  80.24981435,\n",
        "        115.4105024 , 132.69948121,  35.81760557,  83.47039964,\n",
        "        126.51836247, 172.17826137,  39.72381914,  91.42997622,\n",
@@ -3504,7 +3504,7 @@
        "         63.34901863, 140.67448053, 105.15389833, 105.44662445,\n",
        "         82.83686194, 129.52857276,  77.56977315,  67.91497411,\n",
        "         76.79642115,  84.29553787,  93.9737058 , 149.48720147,\n",
-       "         42.73206703, 130.22018959]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.57 67.58 81.61 ... 163.0 66.45</div><input id='attrs-d562b487-ffe9-4fb5-a2a7-408c6a68a86f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d562b487-ffe9-4fb5-a2a7-408c6a68a86f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd718537-ee02-4302-8931-a6e6b38addfc' class='xr-var-data-in' type='checkbox'><label for='data-dd718537-ee02-4302-8931-a6e6b38addfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_07: fa.PR_SUM_07(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.56951773,  67.58030397,  81.61088531, 147.18815856,\n",
+       "         42.73206703, 130.22018959]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.57 67.58 81.61 ... 163.0 66.45</div><input id='attrs-feb99719-9ade-4e45-aa6a-fa97a612290b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-feb99719-9ade-4e45-aa6a-fa97a612290b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b9ed7b3-0408-4a27-940c-6de1adef9bd0' class='xr-var-data-in' type='checkbox'><label for='data-0b9ed7b3-0408-4a27-940c-6de1adef9bd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:50] pr_sum_07: fa.PR_SUM_07(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 73.56951773,  67.58030397,  81.61088531, 147.18815856,\n",
        "         93.41848081, 187.8022164 , 118.21232247,  97.16413503,\n",
        "         66.99669218,  82.36986398,  68.87402785, 174.79185766,\n",
        "        101.09659852, 204.57043765, 155.00425625, 183.78524988,\n",
@@ -3527,7 +3527,7 @@
        "         63.6773874 ,  76.3826813 , 125.88164402,  74.92022009,\n",
        "         41.00170302, 102.56624057, 102.70158893, 108.88473089,\n",
        "         62.57838899, 106.07698194,  97.86749914, 138.7163356 ,\n",
-       "        163.03373891,  66.44644481]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>142.2 117.3 88.39 ... 120.0 102.2</div><input id='attrs-2c1a6f6a-7ac1-42e3-a8b1-90a5d9d7f728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c1a6f6a-7ac1-42e3-a8b1-90a5d9d7f728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59a14c9-eb8a-4458-bc7b-44df341e731c' class='xr-var-data-in' type='checkbox'><label for='data-b59a14c9-eb8a-4458-bc7b-44df341e731c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_08: fa.PR_SUM_08(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[142.17700918, 117.34089635,  88.39079101,  97.38922239,\n",
+       "        163.03373891,  66.44644481]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>142.2 117.3 88.39 ... 120.0 102.2</div><input id='attrs-e3f052fd-582c-4c87-98d4-6c016b94c237' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3f052fd-582c-4c87-98d4-6c016b94c237' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aeeb158-7d4f-46a2-9547-3eb346087821' class='xr-var-data-in' type='checkbox'><label for='data-4aeeb158-7d4f-46a2-9547-3eb346087821' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:50] pr_sum_08: fa.PR_SUM_08(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[142.17700918, 117.34089635,  88.39079101,  97.38922239,\n",
        "         61.39302248, 137.01332558,  64.07064279, 141.14234912,\n",
        "         66.58329942, 178.59259726, 185.1186627 , 121.40983251,\n",
        "        142.97048289,  89.29774222,  77.62911196,  94.64073801,\n",
@@ -3550,7 +3550,7 @@
        "        107.97321199,  95.55363798,  73.40644184,  93.84714307,\n",
        "        126.18427654,  44.0264344 ,  88.52983401,  66.38112953,\n",
        "         83.84246551,  92.25501455, 103.83718559, 111.93554046,\n",
-       "        120.01375833, 102.24827536]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.3 101.4 80.7 ... 40.39 162.7</div><input id='attrs-3cfa2be8-25ee-4b53-b1a5-20080382f7d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cfa2be8-25ee-4b53-b1a5-20080382f7d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c041f5da-7b08-4228-993e-7ea0198dbc0e' class='xr-var-data-in' type='checkbox'><label for='data-c041f5da-7b08-4228-993e-7ea0198dbc0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_09: fa.PR_SUM_09(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[131.2983278 , 101.41880615,  80.70447736,  50.76260981,\n",
+       "        120.01375833, 102.24827536]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.3 101.4 80.7 ... 40.39 162.7</div><input id='attrs-96edaba8-5293-4a3d-8f22-f2fbbf0e9b5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96edaba8-5293-4a3d-8f22-f2fbbf0e9b5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae2af5af-4775-41f6-9091-a70e612088a9' class='xr-var-data-in' type='checkbox'><label for='data-ae2af5af-4775-41f6-9091-a70e612088a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:50] pr_sum_09: fa.PR_SUM_09(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[131.2983278 , 101.41880615,  80.70447736,  50.76260981,\n",
        "        126.80035291, 186.72541472, 117.1577319 ,  77.17950308,\n",
        "         98.35962117, 117.93279737,  69.51150864, 133.38621108,\n",
        "        111.77972798,  80.39993448, 101.75652525,  95.81306542,\n",
@@ -3573,7 +3573,7 @@
        "        120.44771305, 109.11586781, 153.34133751,  76.22885281,\n",
        "        146.53942314,  64.83219527, 132.90259897,  19.42205284,\n",
        "        156.18838337, 123.64175432,  45.8398223 , 102.18871976,\n",
-       "         40.39381466, 162.671824  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>129.4 46.1 96.5 ... 130.9 61.07</div><input id='attrs-d2f4e5df-d53c-40c0-a34d-c670194ba023' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2f4e5df-d53c-40c0-a34d-c670194ba023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e1b08d-bcd0-4012-b70b-d1e7c186e49a' class='xr-var-data-in' type='checkbox'><label for='data-43e1b08d-bcd0-4012-b70b-d1e7c186e49a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_10: fa.PR_SUM_10(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[129.36924874,  46.09766182,  96.50354881,  64.19548293,\n",
+       "         40.39381466, 162.671824  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>129.4 46.1 96.5 ... 130.9 61.07</div><input id='attrs-80bdb68f-6a4f-43ab-b846-f6b4b080943e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80bdb68f-6a4f-43ab-b846-f6b4b080943e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1b86311-70d0-4f77-a5ad-d319ee7ae2c1' class='xr-var-data-in' type='checkbox'><label for='data-d1b86311-70d0-4f77-a5ad-d319ee7ae2c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:50] pr_sum_10: fa.PR_SUM_10(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[129.36924874,  46.09766182,  96.50354881,  64.19548293,\n",
        "         86.54607602,  69.1935132 ,  98.70916392, 120.02210366,\n",
        "        107.81878339, 152.15915148, 161.7825605 ,  62.10563637,\n",
        "        122.34025167,  24.15012736, 149.0946572 , 117.87713915,\n",
@@ -3596,7 +3596,7 @@
        "         64.70658806,  42.33613652,  96.16566933,  37.7377374 ,\n",
        "        166.60041816,  90.67355045, 142.79138951,  87.60697887,\n",
        "         56.97838133, 167.89788692,  89.43913453,  78.52846296,\n",
-       "        130.90802862,  61.07137116]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.14 114.5 211.9 ... 59.39 78.67</div><input id='attrs-db86b536-d4bc-4a8f-b507-b5f0e7959f11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db86b536-d4bc-4a8f-b507-b5f0e7959f11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5891f255-67cb-48dc-9364-059043057452' class='xr-var-data-in' type='checkbox'><label for='data-5891f255-67cb-48dc-9364-059043057452' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:09] pr_sum_11: fa.PR_SUM_11(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 75.13580929, 114.52677416, 211.91445256,  95.94879956,\n",
+       "        130.90802862,  61.07137116]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.14 114.5 211.9 ... 59.39 78.67</div><input id='attrs-fde76d52-7fa8-4fae-bd4a-673d276b053d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fde76d52-7fa8-4fae-bd4a-673d276b053d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7651f6dd-7aaf-4cac-a15a-a5772b950dc9' class='xr-var-data-in' type='checkbox'><label for='data-7651f6dd-7aaf-4cac-a15a-a5772b950dc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:50] pr_sum_11: fa.PR_SUM_11(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 75.13580929, 114.52677416, 211.91445256,  95.94879956,\n",
        "         82.86441824, 107.24759783, 117.92841619, 146.22245573,\n",
        "        163.21469612, 103.41670964,  52.5570827 ,  93.29189581,\n",
        "        123.10714697, 110.04898162, 136.19019544,  82.64459813,\n",
@@ -3619,7 +3619,7 @@
        "         53.58672514,  80.93066163, 113.43537728,  66.1062458 ,\n",
        "         91.57066099,  93.16621659, 142.13102337,  83.01155926,\n",
        "        129.61328484, 101.07552642,  72.55635306,  85.92150888,\n",
-       "         59.38522834,  78.67271769]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>82.06 105.9 170.6 ... 66.37 92.34</div><input id='attrs-fb9f6f2c-77d6-4369-b4ac-e18da4e65c05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb9f6f2c-77d6-4369-b4ac-e18da4e65c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e894fa0-a621-4295-8e1c-d3ba0255d26c' class='xr-var-data-in' type='checkbox'><label for='data-8e894fa0-a621-4295-8e1c-d3ba0255d26c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:10] pr_sum_12: fa.PR_SUM_12(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 82.05642173, 105.92027332, 170.63817824,  99.99524289,\n",
+       "         59.38522834,  78.67271769]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>82.06 105.9 170.6 ... 66.37 92.34</div><input id='attrs-895154d5-a7ef-4059-973a-c44c1813a884' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-895154d5-a7ef-4059-973a-c44c1813a884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99200bbe-9e7e-4b09-9b59-cb2c60436dc6' class='xr-var-data-in' type='checkbox'><label for='data-99200bbe-9e7e-4b09-9b59-cb2c60436dc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:50] pr_sum_12: fa.PR_SUM_12(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 82.05642173, 105.92027332, 170.63817824,  99.99524289,\n",
        "         65.93614439,  79.4087846 ,  59.82280074,  51.62654905,\n",
        "         58.04790591, 144.76656794,  69.29918602,  50.31850028,\n",
        "         71.03131417,  57.98253455,  67.99112159, 130.34913518,\n",
@@ -3642,7 +3642,7 @@
        "         32.27346185,  65.59315072,  81.70091774,  72.01059752,\n",
        "         59.3484713 ,  48.05389039,  78.04215559, 129.29257276,\n",
        "         57.15556357,  70.78049768,  99.46681331, 134.89312849,\n",
-       "         66.37407544,  92.34257448]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>476.9 260.7 513.8 ... 317.2 253.4</div><input id='attrs-6bce4418-fcc7-400e-9849-714163a98e16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bce4418-fcc7-400e-9849-714163a98e16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-937f05f6-9ccf-4d34-ba68-b5dc490ed829' class='xr-var-data-in' type='checkbox'><label for='data-937f05f6-9ccf-4d34-ba68-b5dc490ed829' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:11] pr_sum_spring: fa.PR_SUM_SPRING(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[476.88870814, 260.72088455, 513.83608728, 441.92086989,\n",
+       "         66.37407544,  92.34257448]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>476.9 260.7 513.8 ... 317.2 253.4</div><input id='attrs-2439e43d-b957-44d8-82c6-393c9f1e13bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2439e43d-b957-44d8-82c6-393c9f1e13bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b8ae197-99aa-4d15-a43b-ba215caa8c43' class='xr-var-data-in' type='checkbox'><label for='data-0b8ae197-99aa-4d15-a43b-ba215caa8c43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:52] pr_sum_spring: fa.PR_SUM_SPRING(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[476.88870814, 260.72088455, 513.83608728, 441.92086989,\n",
        "        401.14066263, 421.97696053, 295.39316358, 246.97412483,\n",
        "        432.32145383, 396.67195607, 365.9851674 , 339.24352629,\n",
        "        415.93999483, 435.41885519, 301.08204389, 433.30958282,\n",
@@ -3665,7 +3665,7 @@
        "        324.22030794, 323.35079276, 276.15182229, 296.25024717,\n",
        "        245.51089536, 436.34929633, 279.7734011 , 316.91168422,\n",
        "        304.62205098, 288.38091337, 280.4825964 , 400.23893624,\n",
-       "        317.24595563, 253.41959057]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>612.0 464.9 505.4 ... 492.6 484.3</div><input id='attrs-0b66057a-f156-4f6b-9e35-3d840a6551ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b66057a-f156-4f6b-9e35-3d840a6551ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26b75f41-a336-499f-b02d-9342343ae9a2' class='xr-var-data-in' type='checkbox'><label for='data-26b75f41-a336-499f-b02d-9342343ae9a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:13] pr_sum_summer_fall: fa.PR_SUM_SUMMER_FALL(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[612.00291949, 464.90558608, 505.38165303, 481.01964922,\n",
+       "        317.24595563, 253.41959057]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>612.0 464.9 505.4 ... 492.6 484.3</div><input id='attrs-40708b70-ee87-40ec-9cef-38dee359b180' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40708b70-ee87-40ec-9cef-38dee359b180' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6427adef-4bf0-4493-a3e7-c93093f877b2' class='xr-var-data-in' type='checkbox'><label for='data-6427adef-4bf0-4493-a3e7-c93093f877b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:53] pr_sum_summer_fall: fa.PR_SUM_SUMMER_FALL(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[612.00291949, 464.90558608, 505.38165303, 481.01964922,\n",
        "        461.4137243 , 679.51228672, 503.10075551, 624.31622992,\n",
        "        474.08718491, 661.22096199, 525.98067827, 582.24065653,\n",
        "        622.86277279, 562.77733308, 590.41428219, 610.95868553,\n",
@@ -3688,7 +3688,7 @@
        "        421.56276615, 444.19346611, 558.07355177, 376.96088128,\n",
        "        574.87773442, 407.80101551, 582.25582799, 357.72106208,\n",
        "        440.46752571, 587.92041828, 399.34097257, 536.97724435,\n",
-       "        492.55087567, 484.297609  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.276e+03 1.008e+03 ... 968.1 921.3</div><input id='attrs-d20cf305-6b97-42e5-91b9-f7d9be2fedd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d20cf305-6b97-42e5-91b9-f7d9be2fedd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62e43eaa-2722-43cd-8c68-0739edb6260a' class='xr-var-data-in' type='checkbox'><label for='data-62e43eaa-2722-43cd-8c68-0739edb6260a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] pr_sum_year: fa.PR_SUM_YEAR(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[1275.61029933, 1007.77051484, 1405.23540356, 1095.37340728,\n",
+       "        492.55087567, 484.297609  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_sum_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.276e+03 1.008e+03 ... 968.1 921.3</div><input id='attrs-af6d9b54-1c4b-4a66-bb3d-b84f3050b2ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af6d9b54-1c4b-4a66-bb3d-b84f3050b2ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f93dc5d-a228-4861-a450-97004c8312cc' class='xr-var-data-in' type='checkbox'><label for='data-6f93dc5d-a228-4861-a450-97004c8312cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] pr_sum_year: fa.PR_SUM_YEAR(pr=pr) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>long_name :</span></dt><dd>Integral of variable</dd><dt><span>description :</span></dt><dd>Annual integral of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[1275.61029933, 1007.77051484, 1405.23540356, 1095.37340728,\n",
        "         999.03940583, 1390.33216304,  994.47550489, 1015.24452786,\n",
        "        1098.08443197, 1363.43052591, 1048.63997592, 1112.32530242,\n",
        "        1249.55692631, 1188.11782924, 1135.09063889, 1289.62522691,\n",
@@ -3711,7 +3711,7 @@
        "         940.95533823,  936.86656056, 1067.10931027,  843.64354724,\n",
        "        1007.82483937,  992.44034383, 1034.25086186,  917.85009097,\n",
        "         917.8025586 , 1118.55309348,  877.04709098, 1218.24049717,\n",
-       "         968.14139331,  921.3291193 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>67.68 110.8 18.01 ... 133.8 77.56</div><input id='attrs-4786537b-cb1f-4aa8-a0db-1df6cebecd2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4786537b-cb1f-4aa8-a0db-1df6cebecd2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b49a5881-32ce-4e18-b064-6d60ee2c8668' class='xr-var-data-in' type='checkbox'><label for='data-b49a5881-32ce-4e18-b064-6d60ee2c8668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_01: fa.SND_MEAN_01(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 67.68034464, 110.78492579,  18.00656939, 147.8793057 ,\n",
+       "         968.14139331,  921.3291193 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_01</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>67.68 110.8 18.01 ... 133.8 77.56</div><input id='attrs-592145ce-217a-4090-a5f0-58681deaa006' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-592145ce-217a-4090-a5f0-58681deaa006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-261545ba-8947-4291-be15-b00840e6bb11' class='xr-var-data-in' type='checkbox'><label for='data-261545ba-8947-4291-be15-b00840e6bb11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_01: fa.SND_MEAN_01(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[1]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 67.68034464, 110.78492579,  18.00656939, 147.8793057 ,\n",
        "         78.33036725,  69.6968544 ,  88.51948846,  55.70864449,\n",
        "         49.89223874, 102.94742893,  47.01992837,  29.44279231,\n",
        "         20.91444929,  66.51791196,  29.22274476,  75.6143354 ,\n",
@@ -3734,7 +3734,7 @@
        "        101.11239207,  69.94074856,  59.99009286,  62.95271521,\n",
        "         91.45287805,  50.74276862,  64.26643281,  76.14415434,\n",
        "        131.52828384,  85.84895085,  20.37767966,  88.56874582,\n",
-       "        133.82035982,  77.55644563]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.3 183.4 44.98 ... 168.5 89.92</div><input id='attrs-5242863b-d9f1-4c30-a41c-74e66ffac1d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5242863b-d9f1-4c30-a41c-74e66ffac1d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40969070-da94-4d41-85fc-c3164ac2d5c8' class='xr-var-data-in' type='checkbox'><label for='data-40969070-da94-4d41-85fc-c3164ac2d5c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_02: fa.SND_MEAN_02(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 48.29997508, 183.37751574,  44.9800082 , 154.74962741,\n",
+       "        133.82035982,  77.55644563]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_02</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.3 183.4 44.98 ... 168.5 89.92</div><input id='attrs-f6efa824-9ff0-45be-8902-5d1718bdbe63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6efa824-9ff0-45be-8902-5d1718bdbe63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-456cf023-abf9-4564-bc70-3b2cdc4185f7' class='xr-var-data-in' type='checkbox'><label for='data-456cf023-abf9-4564-bc70-3b2cdc4185f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_02: fa.SND_MEAN_02(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[2]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 48.29997508, 183.37751574,  44.9800082 , 154.74962741,\n",
        "         92.77853968, 111.24317241, 124.07932147,  63.78058645,\n",
        "         82.44489614, 146.30748549,  59.00655868,  58.05546674,\n",
        "         54.12723512, 104.96301425,  51.11877441,  48.38243171,\n",
@@ -3757,7 +3757,7 @@
        "        167.37989141,  95.32330941,  83.33473623,  79.22632913,\n",
        "        141.79860044, 110.3120374 ,  95.56042134, 120.13744174,\n",
        "        145.5482975 , 171.14925243,  38.74901615, 122.23684409,\n",
-       "        168.45076143,  89.91705256]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.974 195.5 36.08 ... 194.6 80.46</div><input id='attrs-2a8b4059-70d2-4e16-9a9f-f273281b92b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a8b4059-70d2-4e16-9a9f-f273281b92b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebd58cae-658c-4358-8165-f600dd400507' class='xr-var-data-in' type='checkbox'><label for='data-ebd58cae-658c-4358-8165-f600dd400507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_03: fa.SND_MEAN_03(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[  8.974288  , 195.50803325,  36.07669425, 163.06132795,\n",
+       "        168.45076143,  89.91705256]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_03</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.974 195.5 36.08 ... 194.6 80.46</div><input id='attrs-930ca2be-16d8-4647-a090-475380f82821' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-930ca2be-16d8-4647-a090-475380f82821' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa6d5a3d-2e6e-4e6b-865e-8460ebbea0ed' class='xr-var-data-in' type='checkbox'><label for='data-aa6d5a3d-2e6e-4e6b-865e-8460ebbea0ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_03: fa.SND_MEAN_03(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[3]).</dd></dl></div><div class='xr-var-data'><pre>array([[  8.974288  , 195.50803325,  36.07669425, 163.06132795,\n",
        "         90.4996182 , 127.03800696, 111.78909222,  70.17601953,\n",
        "         86.31946076, 126.43165064,  44.3931008 ,  55.10639389,\n",
        "        108.69088438, 114.58432681,  39.96253287,  16.94167359,\n",
@@ -3780,7 +3780,7 @@
        "        242.25530414, 121.51741583, 101.62835418,  19.19113765,\n",
        "        184.66822607, 176.39699669, 108.23675633, 131.71746473,\n",
        "        176.55958303, 197.78973237,  42.73239852, 153.3499245 ,\n",
-       "        194.60592434,  80.46474715]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1946 81.42 4.933 ... 117.7 2.051</div><input id='attrs-2d77b67d-c41d-49ab-a59e-c870b0eab054' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d77b67d-c41d-49ab-a59e-c870b0eab054' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c35bafd2-dfe5-4cc2-86eb-9ae8bdf81dcd' class='xr-var-data-in' type='checkbox'><label for='data-c35bafd2-dfe5-4cc2-86eb-9ae8bdf81dcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_04: fa.SND_MEAN_04(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[  0.19461214,  81.41902001,   4.93346062,  34.31216759,\n",
+       "        194.60592434,  80.46474715]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_04</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1946 81.42 4.933 ... 117.7 2.051</div><input id='attrs-b8d79587-00d3-4988-b34b-2cdd472c35f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8d79587-00d3-4988-b34b-2cdd472c35f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e5824f0-c26a-43f1-b0fb-c871eadba313' class='xr-var-data-in' type='checkbox'><label for='data-7e5824f0-c26a-43f1-b0fb-c871eadba313' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_04: fa.SND_MEAN_04(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[4]).</dd></dl></div><div class='xr-var-data'><pre>array([[  0.19461214,  81.41902001,   4.93346062,  34.31216759,\n",
        "         22.45040753,   1.32568055,   0.42611347,   0.71272864,\n",
        "          6.33559434,  15.02498208,   1.28253454,   4.08289066,\n",
        "         19.01791052,  30.07318603,   0.67524072,   3.32157917,\n",
@@ -3803,7 +3803,7 @@
        "        176.53271799,   5.27601157,  16.36012122,   5.79463319,\n",
        "        100.07229082,  96.05440149,  37.93585552,  48.62172667,\n",
        "        102.55799185,  73.14267908,   6.1642968 ,  84.48334719,\n",
-       "        117.73950012,   2.05053619]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008909 0.003593 ... 0.1019 1.929</div><input id='attrs-f72d56b3-4042-44d5-a1d7-bfd1d73eddc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f72d56b3-4042-44d5-a1d7-bfd1d73eddc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5db5551e-13ae-461d-8b3c-9ad501efdd2e' class='xr-var-data-in' type='checkbox'><label for='data-5db5551e-13ae-461d-8b3c-9ad501efdd2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_05: fa.SND_MEAN_05(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.90943261e-03,  3.59264185e-03,  1.49740253e-02,\n",
+       "        117.73950012,   2.05053619]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_05</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008909 0.003593 ... 0.1019 1.929</div><input id='attrs-d62b5194-b049-4d86-95b6-6c94ce4a35a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d62b5194-b049-4d86-95b6-6c94ce4a35a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2ed209b-90f1-438d-bea6-979c339d8890' class='xr-var-data-in' type='checkbox'><label for='data-a2ed209b-90f1-438d-bea6-979c339d8890' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_05: fa.SND_MEAN_05(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[5]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.90943261e-03,  3.59264185e-03,  1.49740253e-02,\n",
        "         3.83972563e-05,  3.67432974e-03,  2.00298335e-03,\n",
        "         5.79906998e-03,  7.09394967e-06,  5.08814673e-05,\n",
        "         1.79812807e-06, -7.34536492e-22, -7.34536492e-22,\n",
@@ -3832,7 +3832,7 @@
        "         2.43266564e-03,  8.83377704e-04,  1.30653976e-02,\n",
        "         7.30952664e-01,  1.32427586e-02,  1.07841385e+00,\n",
        "         3.19504776e-01,  2.59983043e-02,  6.49965428e-04,\n",
-       "         7.29413425e-01,  1.01935820e-01,  1.92902400e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-6eb69d69-7617-499c-afff-cd38cbce8371' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eb69d69-7617-499c-afff-cd38cbce8371' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d3c955d-26fa-4a71-93ab-bc90ba2ce15b' class='xr-var-data-in' type='checkbox'><label for='data-0d3c955d-26fa-4a71-93ab-bc90ba2ce15b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_06: fa.SND_MEAN_06(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "         7.29413425e-01,  1.01935820e-01,  1.92902400e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_06</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-1c964c26-2c5f-4321-a1f8-ad44d0fc61db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c964c26-2c5f-4321-a1f8-ad44d0fc61db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62c32bc6-2617-4b5c-a16a-c7b8dbcd534f' class='xr-var-data-in' type='checkbox'><label for='data-62c32bc6-2617-4b5c-a16a-c7b8dbcd534f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_06: fa.SND_MEAN_06(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[6]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
@@ -3861,7 +3861,7 @@
        "        -7.34536492e-22, -7.34536492e-22,  2.38447665e-07,\n",
        "        -7.27919034e-22, -7.27919034e-22, -7.27919034e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22,  9.30205484e-02,\n",
-       "        -7.34536492e-22,  4.50661029e-03, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-2ca30ebf-fc16-40d4-bc48-abf6cac815ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ca30ebf-fc16-40d4-bc48-abf6cac815ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3834e125-f0f8-4f34-9a5b-706305152ad0' class='xr-var-data-in' type='checkbox'><label for='data-3834e125-f0f8-4f34-9a5b-706305152ad0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_07: fa.SND_MEAN_07(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22,  4.50661029e-03, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_07</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-c858041d-b4f0-4424-96b5-f942af6409c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c858041d-b4f0-4424-96b5-f942af6409c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa135675-51a3-4dae-9935-44eb6cc25635' class='xr-var-data-in' type='checkbox'><label for='data-fa135675-51a3-4dae-9935-44eb6cc25635' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_07: fa.SND_MEAN_07(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[7]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
@@ -3890,7 +3890,7 @@
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.27919034e-22, -7.27919034e-22, -7.30640730e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-83310c06-4d44-46d4-8a8e-eff60f07ef77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83310c06-4d44-46d4-8a8e-eff60f07ef77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9b767b-9788-4585-9d21-2da3f2aeacd8' class='xr-var-data-in' type='checkbox'><label for='data-1f9b767b-9788-4585-9d21-2da3f2aeacd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_08: fa.SND_MEAN_08(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_08</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-ee72db39-06da-4276-b4d0-b3f86928af84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee72db39-06da-4276-b4d0-b3f86928af84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3a8a3af-9d8f-44b0-b346-2eca07183fb2' class='xr-var-data-in' type='checkbox'><label for='data-a3a8a3af-9d8f-44b0-b346-2eca07183fb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_08: fa.SND_MEAN_08(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[8]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
@@ -3919,7 +3919,7 @@
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.27919034e-22, -7.30276059e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-0916f42f-9d4e-4c0a-bef3-48db5b49cea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0916f42f-9d4e-4c0a-bef3-48db5b49cea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac7d662d-0e68-43f2-adb9-0637b5420e59' class='xr-var-data-in' type='checkbox'><label for='data-ac7d662d-0e68-43f2-adb9-0637b5420e59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_09: fa.SND_MEAN_09(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_09</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.345e-22 ... -7.345e-22</div><input id='attrs-3e62c500-0ace-413d-abf0-b1957e6786fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e62c500-0ace-413d-abf0-b1957e6786fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c49775a8-d216-4b92-b320-0749729b51b3' class='xr-var-data-in' type='checkbox'><label for='data-c49775a8-d216-4b92-b320-0749729b51b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_09: fa.SND_MEAN_09(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[9]).</dd></dl></div><div class='xr-var-data'><pre>array([[-7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22,  3.66472307e-05,\n",
@@ -3948,7 +3948,7 @@
        "        -7.34536492e-22,  4.50672866e-05, -7.34536492e-22,\n",
        "        -7.27919034e-22, -7.34536492e-22, -7.34536492e-22,\n",
        "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22,\n",
-       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3611 -7.345e-22 ... 0.5817 0.4031</div><input id='attrs-c2730b20-1064-4abe-afaa-7b7b48ddb169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2730b20-1064-4abe-afaa-7b7b48ddb169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06cf4764-cf4b-4027-b56c-44c0a3260ad9' class='xr-var-data-in' type='checkbox'><label for='data-06cf4764-cf4b-4027-b56c-44c0a3260ad9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_10: fa.SND_MEAN_10(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.61139143e-01, -7.34536492e-22,  2.41486332e-03,\n",
+       "        -7.34536492e-22, -7.34536492e-22, -7.34536492e-22]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_10</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3611 -7.345e-22 ... 0.5817 0.4031</div><input id='attrs-05206c3d-c4fc-4a0b-a8cd-299a9db13ab5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05206c3d-c4fc-4a0b-a8cd-299a9db13ab5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb2e84de-edce-44ac-adee-421c865d07b8' class='xr-var-data-in' type='checkbox'><label for='data-fb2e84de-edce-44ac-adee-421c865d07b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_10: fa.SND_MEAN_10(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[10]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.61139143e-01, -7.34536492e-22,  2.41486332e-03,\n",
        "         2.29913481e-02,  4.69827196e-03,  4.94546779e-06,\n",
        "         9.05844746e-02,  4.83066363e-01,  1.33699912e-01,\n",
        "         1.30300386e-04,  6.23410965e-04,  7.34941737e-03,\n",
@@ -3977,7 +3977,7 @@
        "         8.38507987e-02,  9.84556250e-02,  1.24945707e+00,\n",
        "         3.46299753e+00,  2.36999203e-01,  3.60352074e-03,\n",
        "         1.07592907e-01,  5.06036683e+00,  3.10637405e-02,\n",
-       "         7.46009765e-01,  5.81707079e-01,  4.03067289e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.29 2.369 9.772 ... 1.028 7.307</div><input id='attrs-8b042a17-12e6-4d03-a393-b64fc6ee4077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b042a17-12e6-4d03-a393-b64fc6ee4077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a592acaf-2987-4fd2-8a59-3c9cda72dcfa' class='xr-var-data-in' type='checkbox'><label for='data-a592acaf-2987-4fd2-8a59-3c9cda72dcfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_11: fa.SND_MEAN_11(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.28974404,  2.36937508,  9.7720389 ,  1.36281062,  6.68074249,\n",
+       "         7.46009765e-01,  5.81707079e-01,  4.03067289e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_11</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.29 2.369 9.772 ... 1.028 7.307</div><input id='attrs-7da7a4fb-680c-4b2b-ab54-cbdec13c86ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7da7a4fb-680c-4b2b-ab54-cbdec13c86ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-900cd82d-64c6-4f35-ab52-e61104065066' class='xr-var-data-in' type='checkbox'><label for='data-900cd82d-64c6-4f35-ab52-e61104065066' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:55] snd_mean_11: fa.SND_MEAN_11(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[11]).</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.28974404,  2.36937508,  9.7720389 ,  1.36281062,  6.68074249,\n",
        "        15.26067058,  5.21228243,  4.11255787,  9.59781013,  8.88516485,\n",
        "         5.76484828,  2.678019  ,  3.57714025,  1.33381731,  7.40823478,\n",
        "         6.0512239 ,  5.40612165,  1.70078805,  1.17746732,  1.92515025,\n",
@@ -3994,7 +3994,7 @@
        "         5.09612769,  4.1452475 , 12.26086094,  2.05069653, 21.58187721,\n",
        "        13.75529997,  7.52542866,  4.96769941,  6.86803519,  7.89144901,\n",
        "         3.19674127, 13.17395699,  9.62343612,  6.24538221,  4.4819734 ,\n",
-       "         7.26319927,  6.8354026 , 13.48799938,  1.02788522,  7.30698126]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.07 5.757 76.06 ... 36.07 52.67</div><input id='attrs-25951071-1368-46ff-b391-63582f12d36f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25951071-1368-46ff-b391-63582f12d36f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55f228eb-1e4e-4fc8-8e0e-e16c737c08be' class='xr-var-data-in' type='checkbox'><label for='data-55f228eb-1e4e-4fc8-8e0e-e16c737c08be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:15] snd_mean_12: fa.SND_MEAN_12(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[44.06703887,  5.75688701, 76.06154416, 22.82101299, 24.2308966 ,\n",
+       "         7.26319927,  6.8354026 , 13.48799938,  1.02788522,  7.30698126]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_12</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.07 5.757 76.06 ... 36.07 52.67</div><input id='attrs-2a291f3d-dcbf-4cc4-b4c1-a9f033d19471' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a291f3d-dcbf-4cc4-b4c1-a9f033d19471' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63b29be2-c28a-4286-9923-04d240b82d5c' class='xr-var-data-in' type='checkbox'><label for='data-63b29be2-c28a-4286-9923-04d240b82d5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:56] snd_mean_12: fa.SND_MEAN_12(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (m[12]).</dd></dl></div><div class='xr-var-data'><pre>array([[44.06703887,  5.75688701, 76.06154416, 22.82101299, 24.2308966 ,\n",
        "        54.8072441 , 27.15328359, 11.16008122, 64.74145571, 21.53646358,\n",
        "        18.78228845,  5.58235333, 10.96139923, 15.07888336, 69.62617761,\n",
        "        16.66124655, 43.33014184,  5.82325247,  4.78346889, 37.19525974,\n",
@@ -4011,7 +4011,7 @@
        "        27.00279957, 18.24405838, 18.73304134, 15.66655512, 90.73980834,\n",
        "        38.46063735, 36.94186856,  9.256202  , 12.63915043, 50.00984291,\n",
        "        12.09811877, 37.83743338, 45.14734492, 80.50079781, 26.24770645,\n",
-       "        19.18730009, 74.02803973, 94.9719099 , 36.07357874, 52.66858932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.949 92.08 16.65 ... 98.4 33.31</div><input id='attrs-1f3e5991-11f5-469e-b02c-ab83c35607f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f3e5991-11f5-469e-b02c-ab83c35607f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67086f46-f4be-443e-b199-03202f47e10f' class='xr-var-data-in' type='checkbox'><label for='data-67086f46-f4be-443e-b199-03202f47e10f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:17] snd_mean_spring: fa.SND_MEAN_SPRING(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[  6.94929737,  92.07902521,  16.65099301,  68.21291963,\n",
+       "        19.18730009, 74.02803973, 94.9719099 , 36.07357874, 52.66858932]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_spring</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.949 92.08 16.65 ... 98.4 33.31</div><input id='attrs-c37c0106-dcd2-4db2-bcb2-6fa2b918a8ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c37c0106-dcd2-4db2-bcb2-6fa2b918a8ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4184be44-8fda-4f77-9f94-8412efcc39d8' class='xr-var-data-in' type='checkbox'><label for='data-4184be44-8fda-4f77-9f94-8412efcc39d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:58] snd_mean_spring: fa.SND_MEAN_SPRING(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (02-11 to 06-19).</dd></dl></div><div class='xr-var-data'><pre>array([[  6.94929737,  92.07902521,  16.65099301,  68.21291963,\n",
        "         39.99847624,  46.88460356,  44.55086586,  28.22490342,\n",
        "         34.38158648,  55.69813485,  19.09309385,  23.83732483,\n",
        "         39.95017306,  49.44511412,  17.85140255,  11.58839839,\n",
@@ -4034,7 +4034,7 @@
        "        126.70253564,  44.3117917 ,  40.06098425,  17.53865324,\n",
        "         88.36961152,  82.1938092 ,  48.8725569 ,  61.38926047,\n",
        "         87.31866473,  90.07262672,  17.46755735,  75.05453892,\n",
-       "         98.39649583,  33.31421917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1345 0.1227 ... 0.2475 0.7276</div><input id='attrs-be0e127d-dee1-4b20-b396-4df277bb1a38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be0e127d-dee1-4b20-b396-4df277bb1a38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b1fdf59-0489-44eb-b4e8-f8236ff1e1d0' class='xr-var-data-in' type='checkbox'><label for='data-6b1fdf59-0489-44eb-b4e8-f8236ff1e1d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:19] snd_mean_summer_fall: fa.SND_MEAN_SUMMER_FALL(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[1.34531232e-01, 1.22744639e-01, 7.60463848e-01, 9.98494341e-02,\n",
+       "         98.39649583,  33.31421917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_summer_fall</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1345 0.1227 ... 0.2475 0.7276</div><input id='attrs-44cc9d93-27fa-4fe6-bd1c-ef436730935f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44cc9d93-27fa-4fe6-bd1c-ef436730935f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea68a38-a6cb-4f31-a548-1ffb67bf94b6' class='xr-var-data-in' type='checkbox'><label for='data-9ea68a38-a6cb-4f31-a548-1ffb67bf94b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:34:59] snd_mean_summer_fall: fa.SND_MEAN_SUMMER_FALL(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (06-20 to 11-19).</dd></dl></div><div class='xr-var-data'><pre>array([[1.34531232e-01, 1.22744639e-01, 7.60463848e-01, 9.98494341e-02,\n",
        "        7.48152511e-01, 2.90678702e-01, 2.02503069e-01, 2.57913240e-01,\n",
        "        1.39042157e-01, 1.38078576e+00, 1.01756178e+00, 1.94433787e-01,\n",
        "        6.06799688e-01, 2.12406757e-03, 3.24631093e-01, 8.32251382e-02,\n",
@@ -4057,7 +4057,7 @@
        "        1.40567132e+00, 3.44280544e-01, 1.08023414e+00, 2.40350307e-01,\n",
        "        4.70005323e-01, 2.09081029e+00, 1.40341219e+00, 6.37238254e-01,\n",
        "        3.37184579e-01, 2.14955312e+00, 1.63679869e-01, 6.62886813e-01,\n",
-       "        2.47469193e-01, 7.27577913e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.36 47.45 15.71 ... 53.68 25.75</div><input id='attrs-7a3dd335-97c9-4f6e-a461-c370fff51341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a3dd335-97c9-4f6e-a461-c370fff51341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f12cd5-deba-4f3e-b776-ab16a791c91e' class='xr-var-data-in' type='checkbox'><label for='data-32f12cd5-deba-4f3e-b776-ab16a791c91e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:20:21] snd_mean_year: fa.SND_MEAN_YEAR(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[14.35830205, 47.44790804, 15.71350096, 43.45323714, 25.90669936,\n",
+       "        2.47469193e-01, 7.27577913e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snd_mean_year</span></div><div class='xr-var-dims'>(Station, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.36 47.45 15.71 ... 53.68 25.75</div><input id='attrs-8a2e8750-2612-43a5-847e-6437b1ae28c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a2e8750-2612-43a5-847e-6437b1ae28c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724ba7ef-581a-49e9-b57a-e35cd6fc014d' class='xr-var-data-in' type='checkbox'><label for='data-724ba7ef-581a-49e9-b57a-e35cd6fc014d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1171</dd><dt><span>GRIB_Ny :</span></dt><dd>701</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>85.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>15.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-167.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Snow depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>820871</dd><dt><span>GRIB_paramId :</span></dt><dd>141</dd><dt><span>GRIB_shortName :</span></dt><dd>sd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>long_name :</span></dt><dd>Average of variable</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean within days</dd><dt><span>history :</span></dt><dd>[2024-06-03 23:35:01] snd_mean_year: fa.SND_MEAN_YEAR(snd=snd) with options check_missing=skip - xclim version: 0.49.0</dd><dt><span>description :</span></dt><dd>Annual average of variable (01-01 to 12-31).</dd></dl></div><div class='xr-var-data'><pre>array([[14.35830205, 47.44790804, 15.71350096, 43.45323714, 25.90669936,\n",
        "        31.26085381, 29.30867008, 17.09767326, 24.71204082, 34.49773671,\n",
        "        14.46472846, 12.78844991, 17.94698459, 27.29562966, 16.3752539 ,\n",
        "        13.85337415, 38.91836041, 44.60262462, 22.04078034, 14.83959138,\n",
@@ -4074,7 +4074,7 @@
        "        28.69946958, 39.74549402, 28.84524   , 26.88577324, 18.11297123,\n",
        "        50.59697129, 61.59489733, 25.20234371, 23.10739572, 18.60042104,\n",
        "        43.94040622, 40.29050806, 29.74198306, 38.52664149, 48.38335705,\n",
-       "        45.88164783, 15.6945839 , 46.35936448, 53.67781098, 25.75077488]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7ffafda-81b9-4c2c-8287-babe00399b85' class='xr-section-summary-in' type='checkbox'  ><label for='section-c7ffafda-81b9-4c2c-8287-babe00399b85' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6dff23df-e6d4-4dfa-97db-752e24a760d1' class='xr-index-data-in' type='checkbox'/><label for='index-6dff23df-e6d4-4dfa-97db-752e24a760d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e725fde-6cf5-4595-a3ab-f55acffd5348' class='xr-index-data-in' type='checkbox'/><label for='index-1e725fde-6cf5-4595-a3ab-f55acffd5348' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01&#x27;, &#x27;1982-01-01&#x27;, &#x27;1983-01-01&#x27;, &#x27;1984-01-01&#x27;,\n",
+       "        45.88164783, 15.6945839 , 46.35936448, 53.67781098, 25.75077488]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b568857b-269e-450b-bcb1-e0ab042c1643' class='xr-section-summary-in' type='checkbox'  ><label for='section-b568857b-269e-450b-bcb1-e0ab042c1643' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95804fd7-110b-4c2c-a030-79a05f30fe9c' class='xr-index-data-in' type='checkbox'/><label for='index-95804fd7-110b-4c2c-a030-79a05f30fe9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;031501&#x27;, &#x27;031502&#x27;, &#x27;042103&#x27;], dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a9cebb80-58bf-4de0-a065-b48e14222cec' class='xr-index-data-in' type='checkbox'/><label for='index-a9cebb80-58bf-4de0-a065-b48e14222cec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1981-01-01&#x27;, &#x27;1982-01-01&#x27;, &#x27;1983-01-01&#x27;, &#x27;1984-01-01&#x27;,\n",
        "               &#x27;1985-01-01&#x27;, &#x27;1986-01-01&#x27;, &#x27;1987-01-01&#x27;, &#x27;1988-01-01&#x27;,\n",
        "               &#x27;1989-01-01&#x27;, &#x27;1990-01-01&#x27;, &#x27;1991-01-01&#x27;, &#x27;1992-01-01&#x27;,\n",
        "               &#x27;1993-01-01&#x27;, &#x27;1994-01-01&#x27;, &#x27;1995-01-01&#x27;, &#x27;1996-01-01&#x27;,\n",
@@ -4082,7 +4082,7 @@
        "               &#x27;2001-01-01&#x27;, &#x27;2002-01-01&#x27;, &#x27;2003-01-01&#x27;, &#x27;2004-01-01&#x27;,\n",
        "               &#x27;2005-01-01&#x27;, &#x27;2006-01-01&#x27;, &#x27;2007-01-01&#x27;, &#x27;2008-01-01&#x27;,\n",
        "               &#x27;2009-01-01&#x27;, &#x27;2010-01-01&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;YS-JAN&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f855e087-b90e-4f94-89bf-973c3365692f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f855e087-b90e-4f94-89bf-973c3365692f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cat:variable :</span></dt><dd>(&#x27;tas_max_01&#x27;,)</dd><dt><span>cat:xrfreq :</span></dt><dd>YS-JAN</dd><dt><span>cat:frequency :</span></dt><dd>yr</dd><dt><span>cat:processing_level :</span></dt><dd>indicators</dd><dt><span>cat:id :</span></dt><dd></dd></dl></div></li></ul></div></div>"
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;YS-JAN&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b8e2a59-6ef5-4e94-8976-8d782e1ad213' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b8e2a59-6ef5-4e94-8976-8d782e1ad213' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cat:variable :</span></dt><dd>(&#x27;tas_max_01&#x27;,)</dd><dt><span>cat:xrfreq :</span></dt><dd>YS-JAN</dd><dt><span>cat:frequency :</span></dt><dd>yr</dd><dt><span>cat:processing_level :</span></dt><dd>indicators</dd><dt><span>cat:id :</span></dt><dd></dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 54kB\n",
@@ -4113,7 +4113,7 @@
        "    cat:id:                "
       ]
      },
-     "execution_count": 32,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4138,7 +4138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -4786,7 +4786,7 @@
        "snd_mean_year                    35.612642  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }

From d924a54078c23e23f4d295dc49324b4110444d9c Mon Sep 17 00:00:00 2001
From: sebastienlanglois <sebastien.langlois@polymtl.ca>
Date: Mon, 3 Jun 2024 23:56:01 -0400
Subject: [PATCH 12/14] limit cell computation

---
 docs/notebooks/gis.ipynb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/notebooks/gis.ipynb b/docs/notebooks/gis.ipynb
index ddc9c1ad..fd30df75 100644
--- a/docs/notebooks/gis.ipynb
+++ b/docs/notebooks/gis.ipynb
@@ -1551,7 +1551,7 @@
     }
    ],
    "source": [
-    "ax = xhgis.land_use_plot(gdf, unique_id=\"Station\", idx=0)"
+    "ax = xhgis.land_use_plot(gdf, unique_id=\"Station\", idx=2)"
    ]
   },
   {
@@ -1566,13 +1566,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5cf4d097331c40edb926adab7836fdaa",
+       "model_id": "3806166867be457598aa4fdd81c2b6aa",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1591,7 +1591,7 @@
     "space = {\n",
     "    \"clip\": \"polygon\",  # bbox, point or polygon\n",
     "    \"averaging\": True,\n",
-    "    \"geometry\": gdf,  # 3 polygons\n",
+    "    \"geometry\": gdf.iloc[0:2],  # select the 2 first polygons\n",
     "    \"unique_id\": \"Station\",\n",
     "}\n",
     "time = {\n",

From 8d728c9b210f474495c14f199dd12adc30fe6052 Mon Sep 17 00:00:00 2001
From: RondeauG <rondeau-genesse.gabriel@ouranos.ca>
Date: Thu, 6 Jun 2024 16:23:43 -0400
Subject: [PATCH 13/14] collection as an argument

---
 src/xhydro/gis.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/xhydro/gis.py b/src/xhydro/gis.py
index 61671535..cf0bd9be 100644
--- a/src/xhydro/gis.py
+++ b/src/xhydro/gis.py
@@ -283,6 +283,7 @@ def surface_properties(
     output_format: str = "geopandas",
     operation: str = "mean",
     dataset_date: str = "2021-04-22",
+    collection: str = "cop-dem-glo-90",
 ) -> gpd.GeoDataFrame | xr.Dataset:
     """Surface properties for watersheds.
 
@@ -308,6 +309,8 @@ def surface_properties(
         Aggregation statistics such as `mean` or `sum`.
     dataset_date : str
         Date (%Y-%m-%d) for which to select the imagery from the dataset. Date must be available.
+    collection : str
+        Collection name from the Planetary Computer STAC Catalog. Default is `cop-dem-glo-90`.
 
     Returns
     -------
@@ -317,7 +320,6 @@ def surface_properties(
     # Geometries are projected to make calculations more accurate
     projected_gdf = gdf.to_crs(projected_crs)
 
-    collection = "cop-dem-glo-90"
     catalog = pystac_client.Client.open(
         "https://planetarycomputer.microsoft.com/api/stac/v1",
     )

From 0c414f9173064f3500124da6d038989936fda1c3 Mon Sep 17 00:00:00 2001
From: Zeitsperre <10819524+Zeitsperre@users.noreply.github.com>
Date: Mon, 10 Jun 2024 12:51:39 -0400
Subject: [PATCH 14/14] update URL allowlist

---
 .github/workflows/main.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 26c04552..4583f01f 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -128,7 +128,7 @@ jobs:
         shell: bash -l {0}
     steps:
       - name: Harden Runner
-        uses: step-security/harden-runner@f086349bfa2bd1361f7909c78558e816508cdc10 # v2.8.0
+        uses: step-security/harden-runner@17d0e2bd7d51742c71671bd19fa12bdc9d40a3d6 # v2.8.1
         with:
           disable-sudo: true
           egress-policy: block
@@ -137,6 +137,7 @@ jobs:
             cdn.proj.org:443
             conda.anaconda.org:443
             coveralls.io:443
+            elevationeuwest.blob.core.windows.net:443
             files.pythonhosted.org:443
             github.com:443
             objects.githubusercontent.com:443