diff --git a/climada/hazard/base.py b/climada/hazard/base.py
index 783d42616a..6e056bf7af 100644
--- a/climada/hazard/base.py
+++ b/climada/hazard/base.py
@@ -840,7 +840,7 @@ def maybe_repeat(values: np.ndarray, times: int) -> np.ndarray:
                     None,
                     np.ones(num_events),
                     np.array(range(num_events), dtype=int) + 1,
-                    [str(x) for x in data[coords["event"]].values],
+                    list(data[coords["event"]].dt.strftime("%Y-%m-%d")),
                     np.array(u_dt.datetime64_to_ordinal(data[coords["event"]].values)),
                 ],
                 # The accessor for the data in the Dataset
diff --git a/climada/hazard/test/test_base_xarray.py b/climada/hazard/test/test_base_xarray.py
index 53e8217e67..e2b644972b 100644
--- a/climada/hazard/test/test_base_xarray.py
+++ b/climada/hazard/test/test_base_xarray.py
@@ -72,7 +72,7 @@ def _assert_default_values(self, hazard):
         self.assertEqual(hazard.units, "")
         np.testing.assert_array_equal(hazard.event_id, [1, 2])
         np.testing.assert_array_equal(
-            hazard.event_name, [str(x) for x in hazard.event_id]
+            hazard.event_name, [x.strftime("%Y-%m-%d") for x in self.time]
         )
         np.testing.assert_array_equal(
             hazard.date, [val.toordinal() for val in self.time]
@@ -342,7 +342,9 @@ def test_missing_dims(self):
             ds = ds.isel(time=0).squeeze()
             hazard = Hazard.from_xarray_raster(ds, "", "")
             self._assert_default_types(hazard)
-
+            np.testing.assert_array_equal(
+                hazard.event_name, [self.time[0].strftime("%Y-%m-%d")]
+                )
             np.testing.assert_array_equal(hazard.date, [self.time[0].toordinal()])
             np.testing.assert_array_equal(hazard.centroids.lat, [0, 0, 0, 1, 1, 1])
             np.testing.assert_array_equal(hazard.centroids.lon, [0, 1, 2, 0, 1, 2])
@@ -367,6 +369,9 @@ def test_missing_dims(self):
             ds = ds.expand_dims(time=[np.datetime64("2022-01-01")])
             hazard = Hazard.from_xarray_raster(ds, "", "")
             self._assert_default_types(hazard)
+            np.testing.assert_array_equal(
+                hazard.event_name, ["2022-01-01"]
+            )
             np.testing.assert_array_equal(
                 hazard.date, [dt.datetime(2022, 1, 1).toordinal()]
             )