diff --git a/tests/geospatial/workloads/atmospheric_circulation.py b/tests/geospatial/workloads/atmospheric_circulation.py
index 61a308fc6b..3fb82108d8 100644
--- a/tests/geospatial/workloads/atmospheric_circulation.py
+++ b/tests/geospatial/workloads/atmospheric_circulation.py
@@ -11,7 +11,7 @@ def atmospheric_circulation(
 ) -> Delayed:
     ds = xr.open_zarr(
         "gs://weatherbench2/datasets/era5/1959-2023_01_10-full_37-1h-0p25deg-chunk-1.zarr",
-        chunks={},
+        chunks={"time": "auto"},
     )
     if scale == "small":
         # 852.56 GiB (small)
diff --git a/tests/geospatial/workloads/climatology.py b/tests/geospatial/workloads/climatology.py
index bfc13f80bc..36bfe2ba8c 100644
--- a/tests/geospatial/workloads/climatology.py
+++ b/tests/geospatial/workloads/climatology.py
@@ -72,6 +72,7 @@ def rechunk_map_blocks(
     # Load dataset
     ds = xr.open_zarr(
         "gs://weatherbench2/datasets/era5/1959-2023_01_10-wb13-6h-1440x721.zarr",
+        chunks={"time": "auto"},
     )
 
     if scale == "small":
@@ -122,6 +123,7 @@ def highlevel_api(
     # Load dataset
     ds = xr.open_zarr(
         "gs://weatherbench2/datasets/era5/1959-2023_01_10-wb13-6h-1440x721.zarr",
+        chunks={"time": "auto"},
     )
 
     if scale == "small":
diff --git a/tests/geospatial/workloads/rechunking.py b/tests/geospatial/workloads/rechunking.py
index 9a20994aee..b5d3ca5f5f 100644
--- a/tests/geospatial/workloads/rechunking.py
+++ b/tests/geospatial/workloads/rechunking.py
@@ -11,6 +11,7 @@ def era5_rechunking(
 ) -> Delayed:
     ds = xr.open_zarr(
         "gs://weatherbench2/datasets/era5/1959-2023_01_10-full_37-1h-0p25deg-chunk-1.zarr",
+        chunks={"time": "auto"},
     ).drop_encoding()
 
     if scale == "small":
diff --git a/tests/geospatial/workloads/regridding.py b/tests/geospatial/workloads/regridding.py
index 307c37f53d..0cba3449dd 100644
--- a/tests/geospatial/workloads/regridding.py
+++ b/tests/geospatial/workloads/regridding.py
@@ -13,6 +13,7 @@ def xesmf(
 ) -> Delayed:
     ds = xr.open_zarr(
         "gs://weatherbench2/datasets/era5/1959-2023_01_10-full_37-1h-0p25deg-chunk-1.zarr",
+        chunks={"time": "auto"},
     )
     # Fixed time range and variable as the interesting part of this benchmark scales with the
     # regridding matrix