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Merged
merged 9 commits into from
May 9, 2024
Merged

WPS returns datasets : access band_data variable #356

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84543e4
WPS returns datasets : access `band_data` variable
tlogan2000 Apr 23, 2024
b045753
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Apr 23, 2024
2c8894c
Merge branch 'master' into fixnbs_pavics_betaimage
Zeitsperre May 2, 2024
52f6748
Merge branch 'master' into fixnbs_pavics_betaimage
Zeitsperre May 2, 2024
77acec3
Merge branch 'master' into fixnbs_pavics_betaimage
huard May 7, 2024
62d8d13
Update paper notebook for py311
tlogan2000 May 7, 2024
ecd1a65
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 7, 2024
4287425
removed band_data
huard May 7, 2024
6ff9f29
Merge remote-tracking branch 'origin/master' into fixnbs_pavics_betai…
tlvu May 7, 2024
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9 changes: 8 additions & 1 deletion docs/notebooks/02_Extract_geographical_watershed_properties.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -405,6 +405,13 @@
"all_properties = {**shape_info, **land_use, **terrain}\n",
"display(all_properties)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -418,7 +425,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.10.13"
}
},
"nbformat": 4,
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52 changes: 26 additions & 26 deletions docs/notebooks/paper/Perform_a_climate_change_impact_study_on_a_watershed.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -77,6 +77,7 @@
"import xclim.sdba as sdba\n",
"from birdy import WPSClient\n",
"from clisops.core import average, subset\n",
"from dask.diagnostics import ProgressBar\n",
"\n",
"from ravenpy import Emulator\n",
"from ravenpy.config import commands as rc\n",
Expand Down Expand Up @@ -399,7 +400,7 @@
" ERA5_pr = ERA5_pr.mean({\"latitude\", \"longitude\"})\n",
"\n",
" # Ensure that the precipitation is non-negative, which can happen with some reanalysis models.\n",
" ERA5_pr[ERA5_pr < 0] = 0\n",
" ERA5_pr = np.maximum(ERA5_pr, 0)\n",
"\n",
" # Transform them to a dataset such that they can be written with attributes to netcdf\n",
" ERA5_tmin = ERA5_tmin.to_dataset(name=\"tmin\", promote_attrs=True)\n",
Expand Down Expand Up @@ -463,21 +464,20 @@
" col_subset = col.search(require_all_on=[\"source_id\"], **query)\n",
" mapper = fsCMIP.get_mapper(col_subset.df.zstore[0])\n",
"\n",
" # special case for precipitation, which does not have the \"height\" variable that we need to discard as for tasmax and tasmin.\n",
" if variable == \"pr\":\n",
" out[exp][variable] = average.average_shape(\n",
" xr.open_zarr(mapper, consolidated=True).sel(\n",
" time=slice(period_start, period_end)\n",
" )[variable],\n",
" basin_contour,\n",
" ).chunk(-1)\n",
" else:\n",
" out[exp][variable] = average.average_shape(\n",
" xr.open_zarr(mapper, consolidated=True)\n",
" .sel(time=slice(period_start, period_end))\n",
" .reset_coords(\"height\", drop=True)[variable],\n",
" basin_contour,\n",
" ).chunk(-1)\n",
" ds = xr.open_zarr(mapper, consolidated=True).sel(\n",
" time=slice(period_start, period_end)\n",
" )\n",
"\n",
" if \"height\" in ds.coords:\n",
" ds = ds.drop_vars(\"height\")\n",
"\n",
" out[exp][variable] = average.average_shape(\n",
" ds,\n",
" basin_contour,\n",
" )[\n",
" variable\n",
" ].chunk(-1)\n",
"\n",
"\n",
"# We can now extract the variables that we will need later:\n",
"historical_tasmax = out[\"historical\"][\"tasmax\"]\n",
Expand Down Expand Up @@ -633,15 +633,16 @@
" ]\n",
")\n",
"# Write to temporary folder\n",
"fn_tmp_fut = tmp / \"future_dataset_tmp.nc\"\n",
"fut_dataset.to_netcdf(fn_tmp_fut)\n",
"with ProgressBar():\n",
" fn_tmp_fut = tmp / \"future_dataset_tmp.nc\"\n",
" fut_dataset.to_netcdf(fn_tmp_fut)\n",
"\n",
"# Write the data to disk to a temporary location for future use.\n",
"ref_dataset = xr.open_dataset(fn_tmp_ref)\n",
"ref_dataset.isel(geom=0).squeeze().to_netcdf(tmp / \"reference_dataset.nc\")\n",
" # Write the data to disk to a temporary location for future use.\n",
" ref_dataset = xr.open_dataset(fn_tmp_ref)\n",
" ref_dataset.isel(geom=0).squeeze().to_netcdf(tmp / \"reference_dataset.nc\")\n",
"\n",
"fut_dataset = xr.open_dataset(fn_tmp_fut)\n",
"fut_dataset.isel(geom=0).squeeze().to_netcdf(tmp / \"future_dataset.nc\")"
" fut_dataset = xr.open_dataset(fn_tmp_fut)\n",
" fut_dataset.isel(geom=0).squeeze().to_netcdf(tmp / \"future_dataset.nc\")"
]
},
{
Expand Down Expand Up @@ -826,11 +827,10 @@
"source": [
"# Copy the configuration of the previous model that we will modify for our validation:\n",
"model_validation = model_config.duplicate(\n",
" params=optimized_parameters,\n",
" StartDate=dt.datetime(1986, 1, 1),\n",
" EndDate=dt.datetime(1990, 12, 31),\n",
" SuppressOutput=False,\n",
")\n",
").set_params(optimized_parameters)\n",
"\n",
"sim_output = Emulator(config=model_validation).run()\n",
"\n",
Expand Down Expand Up @@ -1007,7 +1007,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.11.6"
}
},
"nbformat": 4,
Expand Down