diff --git a/pyaerocom/helpers.py b/pyaerocom/helpers.py
index ef663d44c..16b72b21b 100644
--- a/pyaerocom/helpers.py
+++ b/pyaerocom/helpers.py
@@ -945,14 +945,14 @@ def merge_station_data(
     return merged
 
 
-def _get_pandas_freq_and_loffset(freq):
+def _get_pandas_freq_and_offset(freq: str) -> tuple[str, pd.Timedelta | None]:
     """Helper to convert resampling info"""
     if freq in TS_TYPE_TO_PANDAS_FREQ:
         freq = TS_TYPE_TO_PANDAS_FREQ[freq]
-    loffset = None
+    offset = None
     if freq in PANDAS_RESAMPLE_OFFSETS:
-        loffset = PANDAS_RESAMPLE_OFFSETS[freq]
-    return (freq, loffset)
+        offset = PANDAS_RESAMPLE_OFFSETS[freq]
+    return (freq, offset)
 
 
 def make_datetime_index(start, stop, freq):
@@ -983,10 +983,10 @@ def make_datetime_index(start, stop, freq):
     if not isinstance(stop, pd.Timestamp):
         stop = to_pandas_timestamp(stop)
 
-    freq, loffset = _get_pandas_freq_and_loffset(freq)
+    freq, offset = _get_pandas_freq_and_offset(freq)
     idx = pd.date_range(start=start, end=stop, freq=freq)
-    if loffset is not None:
-        idx = idx + pd.Timedelta(loffset)
+    if offset is not None:
+        idx = idx + offset
     return idx
 
 
@@ -1096,7 +1096,7 @@ def resample_timeseries(ts, freq, how=None, min_num_obs=None):
         p = int(how.split("percentile")[0])
         how = lambda x: np.nanpercentile(x, p)  # noqa: E731
 
-    freq, loffset = _get_pandas_freq_and_loffset(freq)
+    freq, offset = _get_pandas_freq_and_offset(freq)
     resampler = ts.resample(freq)
 
     data = resampler.agg(how)
@@ -1106,8 +1106,8 @@ def resample_timeseries(ts, freq, how=None, min_num_obs=None):
         invalid = numobs < min_num_obs
         if np.any(invalid):
             data.values[invalid] = np.nan
-    if loffset is not None:
-        data.index = data.index + pd.Timedelta(loffset)
+    if offset is not None:
+        data.index = data.index + offset
     return data
 
 
@@ -1165,8 +1165,8 @@ def resample_time_dataarray(arr, freq, how=None, min_num_obs=None):
     if min_num_obs is not None:
         invalid = arr.resample(time=pd_freq).count(dim="time") < min_num_obs
 
-    freq, loffset = _get_pandas_freq_and_loffset(freq)
-    resampler = arr.resample(time=pd_freq, loffset=loffset)
+    freq, offset = _get_pandas_freq_and_offset(freq)
+    resampler = arr.resample(time=pd_freq, offset=offset)
     try:
         aggfun = getattr(resampler, how)
     except AttributeError:
diff --git a/pyaerocom/stats/mda8/mda8.py b/pyaerocom/stats/mda8/mda8.py
index 5fe6daf1e..54b031c34 100644
--- a/pyaerocom/stats/mda8/mda8.py
+++ b/pyaerocom/stats/mda8/mda8.py
@@ -104,9 +104,6 @@ def _rolling_average_8hr(arr: xr.DataArray) -> xr.DataArray:
 
 
 def _daily_max(arr: xr.DataArray) -> xr.DataArray:
-    # TODO: Base is deprecated, and using offset="1h" is the proper way to do this.
-    # However this currently breaks the old-dependencies test in CI. Should be
-    # changed in the future.
-    return arr.resample(time="24H", base=1).reduce(
+    return arr.resample(time="24H", offset="1h").reduce(
         lambda x, axis: np.apply_along_axis(min_periods_max, 1, x, min_periods=18)
     )
diff --git a/pyaerocom/time_config.py b/pyaerocom/time_config.py
index 00a110786..107060f00 100644
--- a/pyaerocom/time_config.py
+++ b/pyaerocom/time_config.py
@@ -4,6 +4,7 @@
 
 from datetime import datetime
 
+import pandas as pd
 from iris import coord_categorisation
 
 TS_TYPES = ["minutely", "hourly", "daily", "weekly", "monthly", "yearly", "native", "coarsest"]
@@ -40,8 +41,12 @@
     "season": "Q",
     "yearly": "YS",
 }
-
-PANDAS_RESAMPLE_OFFSETS = {"YS": "181D", "MS": "14D", "D": "12h", "h": "30min"}
+PANDAS_RESAMPLE_OFFSETS = {
+    "YS": pd.Timedelta(181, "d"),
+    "MS": pd.Timedelta(14, "d"),
+    "D": pd.Timedelta(12, "h"),
+    "h": pd.Timedelta(30, "m"),
+}
 
 PANDAS_FREQ_TO_TS_TYPE = {v: k for k, v in TS_TYPE_TO_PANDAS_FREQ.items()}
 
diff --git a/pyaerocom_env.yml b/pyaerocom_env.yml
index c92368886..0cbdee7c0 100644
--- a/pyaerocom_env.yml
+++ b/pyaerocom_env.yml
@@ -4,7 +4,7 @@ channels:
   - conda-forge
 dependencies:
   - iris >=3.8.1
-  - xarray >=2022.10.0, <2024.7.0
+  - xarray >=2022.12.0
   - cartopy >=0.21.1
   - matplotlib-base >=3.7.1
   - scipy >=1.10.1
diff --git a/pyproject.toml b/pyproject.toml
index 8dc25f591..7fb10fa2b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,7 @@ requires-python = ">=3.10"
 dependencies = [
     "aerovaldb@git+https://github.com/metno/aerovaldb.git@v0.0.14",
     "scitools-iris>=3.8.1",
-    "xarray>=2022.10.0, <2024.7.0",
+    "xarray>=2022.12.0",
     "cartopy>=0.21.1",
     "matplotlib>=3.7.1",
     "scipy>=1.10.1",
@@ -230,7 +230,7 @@ deps =
     pydantic ==2.7.1; python_version < "3.11"
     pyaro == 0.0.10; python_version < "3.11"
     pooch ==1.7.0; python_version < "3.11"
-    xarray ==2022.10.0; python_version < "3.11"
+    xarray ==2022.12.0; python_version < "3.11"
     pandas ==1.5.3; python_version < "3.11"
 
 [testenv:lint]
diff --git a/tests/test_helpers.py b/tests/test_helpers.py
index ac69ec283..db80db874 100644
--- a/tests/test_helpers.py
+++ b/tests/test_helpers.py
@@ -90,9 +90,9 @@ def test_merge_station_data_error(statlist, use, exception, error):
     assert str(e.value).startswith(error)
 
 
-def test__get_pandas_freq_and_loffset():
-    val = helpers._get_pandas_freq_and_loffset("monthly")
-    assert val == ("MS", "14D")
+def test__get_pandas_freq_and_offset():
+    val = helpers._get_pandas_freq_and_offset("monthly")
+    assert val == ("MS", pd.Timedelta(14, "d"))
 
 
 @pytest.fixture(scope="module")