diff --git a/tests/test_temporal.py b/tests/test_temporal.py
index 67a5fcea..ffa49f6c 100644
--- a/tests/test_temporal.py
+++ b/tests/test_temporal.py
@@ -1606,6 +1606,7 @@ def test_weights_for_yearly_averages(self):
             ds.temporal._mode = "average"
             ds.temporal._freq = "year"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year",
                 data=np.array(
@@ -1668,6 +1669,7 @@ def test_weights_for_monthly_averages(self):
             ds.temporal._mode = "average"
             ds.temporal._freq = "month"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="month",
                 data=np.array(
@@ -1734,6 +1736,7 @@ def test_weights_for_yearly_averages(self):
             ds.temporal._mode = "group_average"
             ds.temporal._freq = "year"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year",
                 data=np.array(
@@ -1796,6 +1799,7 @@ def test_weights_for_monthly_averages(self):
             ds.temporal._mode = "group_average"
             ds.temporal._freq = "month"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year_month",
                 data=np.array(
@@ -1940,6 +1944,7 @@ def test_weights_for_seasonal_averages_with_DJF_and_drop_incomplete_seasons(
             ds.temporal._freq = "season"
             ds.temporal._weighted = "True"
             ds.temporal._season_config = {"dec_mode": "DJF"}
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year_season",
                 data=np.array(
@@ -2001,6 +2006,7 @@ def test_weights_for_seasonal_averages_with_JFD(self):
             ds.temporal._freq = "season"
             ds.temporal._weighted = "True"
             ds.temporal._season_config = {"dec_mode": "JDF"}
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year_season",
                 data=np.array(
@@ -2069,6 +2075,7 @@ def test_custom_season_time_series_weights(self):
             ds.temporal._mode = "group_average"
             ds.temporal._freq = "season"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._season_config = {
                 "custom_seasons": {
                     "JanFebMar": ["Jan", "Feb", "Mar"],
@@ -2145,6 +2152,7 @@ def test_weights_for_daily_averages(self):
             ds.temporal._mode = "group_average"
             ds.temporal._freq = "day"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year_month_day",
                 data=np.array(
@@ -2190,6 +2198,7 @@ def test_weights_for_hourly_averages(self):
             ds.temporal._freq = "hour"
             ds.temporal._weighted = "True"
             ds.temporal._season_config = {"dec_mode": "JDF"}
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="year_month_day_hour",
                 data=np.array(
@@ -2337,6 +2346,7 @@ def test_weights_for_seasonal_climatology_with_DJF(self):
             ds.temporal._freq = "season"
             ds.temporal._weighted = "True"
             ds.temporal._season_config = {"dec_mode": "DJF"}
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="season",
                 data=np.array(
@@ -2393,6 +2403,7 @@ def test_weights_for_seasonal_climatology_with_JFD(self):
             ds.temporal._freq = "season"
             ds.temporal._weighted = "True"
             ds.temporal._season_config = {"dec_mode": "JDF"}
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="season",
                 data=np.array(
@@ -2456,6 +2467,7 @@ def test_weights_for_annual_climatology(self):
             ds.temporal._mode = "climatology"
             ds.temporal._freq = "month"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="month",
                 data=np.array(
@@ -2518,6 +2530,7 @@ def test_weights_for_daily_climatology(self):
             ds.temporal._mode = "climatology"
             ds.temporal._freq = "day"
             ds.temporal._weighted = "True"
+            ds.temporal._time_bounds = ds.time_bnds
             ds.temporal._labeled_time = xr.DataArray(
                 name="month_day",
                 data=np.array(
diff --git a/xcdat/temporal.py b/xcdat/temporal.py
index 0fe8d905..4342d9d1 100644
--- a/xcdat/temporal.py
+++ b/xcdat/temporal.py
@@ -146,10 +146,9 @@ class TemporalAccessor:
     def __init__(self, dataset: xr.Dataset):
         self._dataset: xr.Dataset = dataset
 
+        # The name of the time dimension.
         self._dim = get_axis_coord(self._dataset, "T").name
 
-        self._time_bounds = self._dataset.bounds.get_bounds("T").copy()
-
         try:
             self.calendar = self._dataset[self._dim].encoding["calendar"]
             self.date_type = get_date_type(self.calendar)
@@ -739,6 +738,9 @@ def _set_obj_attrs(
         ValueError
             If an incorrect ``dec_mode`` arg was passed.
         """
+        # The time bounds.
+        self._time_bounds = self._dataset.bounds.get_bounds("T")
+
         # General configuration attributes.
         if mode not in list(MODES):
             modes = ", ".join(f'"{word}"' for word in MODES)