diff --git a/data_access_service/tasks/subset_zarr.py b/data_access_service/tasks/subset_zarr.py
index 6be8dba4..bb598990 100644
--- a/data_access_service/tasks/subset_zarr.py
+++ b/data_access_service/tasks/subset_zarr.py
@@ -160,7 +160,14 @@ def __get_zarr_dataset_for_(self, key: str) -> xarray.Dataset | None:
             for k, val_range in conditions.items():
                 print("forming condition for key", k, "with range", val_range)
                 if is_dim(key=k, dataset=dataset):
-                    dim_conditions[k] = slice(val_range[0], val_range[1])
+                    # dim_conditions[k] = slice(val_range[0], val_range[1])
+                    form_dim_conditions(
+                        existing_conditions=dim_conditions,
+                        key=k,
+                        min_value=val_range[0],
+                        max_value=val_range[1],
+                        dataset=dataset,
+                    )
                 elif is_var(key=k, dataset=dataset):
                     mask = form_mask(
                         existing_mask=mask,
@@ -525,3 +532,27 @@ def form_mask(
         return var_mask
     else:
         return existing_mask & var_mask
+
+
+def form_dim_conditions(
+    existing_conditions: dict[str, slice] | None,
+    key: str,
+    min_value: any,
+    max_value: any,
+    dataset: xarray.Dataset,
+) -> dict[str, slice]:
+    # try to know the dim is ascending or descending
+    slice_from = min_value
+    slice_to = max_value
+
+    # if descending, swap
+    if dataset[key][0] > dataset[key][-1]:
+        slice_from = max_value
+        slice_to = min_value
+
+    dim_condition = {key: slice(slice_from, slice_to)}
+    if existing_conditions is None:
+        return dim_condition
+    else:
+        existing_conditions.update(dim_condition)
+        return existing_conditions
diff --git a/tests/tasks/test_subset_zarr.py b/tests/tasks/test_subset_zarr.py
index 1c7ef0bd..a651ff58 100644
--- a/tests/tasks/test_subset_zarr.py
+++ b/tests/tasks/test_subset_zarr.py
@@ -94,6 +94,74 @@ def test_zarr_processor(
                     # Delete temp output folder as the name always same for testing
                     shutil.rmtree(config.get_temp_folder("888"), ignore_errors=True)
 
+    @patch("aodn_cloud_optimised.lib.DataQuery.REGION", REGION)
+    def test_zarr_descending_dims(
+        self,
+        aws_clients,
+        upload_test_case_to_s3,
+        mock_get_fs_token_paths,
+    ):
+        s3_client, _, _ = aws_clients
+        config = Config.get_config()
+        helper = AWSHelper()
+
+        api = API()
+        api.initialize_metadata()
+
+        with patch("fsspec.core.get_fs_token_paths", mock_get_fs_token_paths):
+            # Patch fsspec to fix an issue were we cannot pass the storage_options correctly
+            with patch.object(AWSHelper, "send_email") as mock_send_email:
+
+                key = "radar_CoffsHarbour_wind_delayed_qc.zarr"
+                no_ext_key = key.replace(".zarr", "")
+                try:
+                    zarr_processor = ZarrProcessor(
+                        api,
+                        uuid="ffe8f19c-de4a-4362-89be-7605b2dd6b8c",
+                        job_id="job_id_888",
+                        keys=[key],
+                        start_date_str="03-2012",
+                        end_date_str="04-2012",
+                        multi_polygon='{"type":"MultiPolygon","coordinates":[[[[-180,90],[-180,-90],[180,-90],[180,90],[-180,90]]]]}',
+                        recipient="example@@test.com",
+                        collection_title="Test Ocean Data Collection",
+                        full_metadata_link="https://metadata.imas.utas.edu.au/.../test-uuid-123",
+                        suggested_citation="Cite data as: Mazor, T., Watermeyer, K., Hobley, T., Grinter, V., Holden, R., MacDonald, K. and Ferns, L. (2023). Statewide Marine Habitat Map.",
+                    )
+
+                    zarr_processor.process()
+
+                    # This is a zarr file, we should be able to read the result from S3, and have part-1, part2 and part-3
+                    files = helper.list_all_s3_objects(
+                        config.get_csv_bucket_name(),
+                        "",
+                    )
+
+                    assert (
+                        "job_id_888/radar_CoffsHarbour_wind_delayed_qc.nc" in files
+                    ), "didn't find expected output file"
+
+                    # use tempfile to download an object from s3
+                    with tempfile.TemporaryDirectory() as tmpdirname:
+                        temp_file_path = Path(tmpdirname) / f"{no_ext_key}.nc"
+                        helper.download_file_from_s3(
+                            config.get_csv_bucket_name(),
+                            f"job_id_888/{no_ext_key}.nc",
+                            str(temp_file_path),
+                        )
+
+                        netcdf_xarray = xarray.open_dataset(temp_file_path)
+                        assert (
+                            netcdf_xarray.sizes["LATITUDE"] == 167
+                        ), f"LATITUDE dimension size expected to be 167, but got {netcdf_xarray.dims['LATITUDE']}"
+
+                except Exception as ex:
+                    # Should not land here
+                    assert False, f"{ex}"
+                finally:
+                    # Delete temp output folder as the name always same for testing
+                    shutil.rmtree(config.get_temp_folder("888"), ignore_errors=True)
+
     def test_zarr_multi_bboxes(
         self,
         aws_clients,