diff --git a/improver_tests/acceptance/SHA256SUMS b/improver_tests/acceptance/SHA256SUMS
index c1952a4167..da596386cc 100644
--- a/improver_tests/acceptance/SHA256SUMS
+++ b/improver_tests/acceptance/SHA256SUMS
@@ -410,7 +410,7 @@ d2cab1d3d8aa588be08a3d7d65e95e859fed37daa767e8d4a2bdaae25702b9a8  ./estimate-emo
 1032b6e41987c08ad4caace25e182a02701177408461c7b573f3e8b304b31c16  ./estimate-emos-coefficients/truncated_normal/truth/20170603T1500Z-PT0000H-horizontal_wind_speed_at_10m.nc
 fe84db49d69ea62e2e82312c7b3d860c7329c627d79d76c2543d365f69d2e0d8  ./estimate-emos-coefficients/truncated_normal/truth/20170604T1500Z-PT0000H-horizontal_wind_speed_at_10m.nc
 386284bf4c5daa3567fb78ca00331494c99ac664902490188dfdf98c39a494ba  ./expected-value/deterministic.nc
-c4adfd73537c8bc7b5e3d70ed3161eff0ecc8f155fe4b08b97b9fa8c3cfa9171  ./expected-value/kgo.nc
+64bcba24bc314d1ffc6bb7adbae6b9e6d872cb75e8ef834463e4fb72e55ad16a  ./expected-value/kgo.nc
 f61aa0326219c7e3934823bc4d607c2b3ec022a7c1df15d3519aea91207effce  ./expected-value/percentile.nc
 00167c391d157276adbb4e4b483237f9d8d0680aeaf5f7bfdd447b26b4f68daa  ./expected-value/realization.nc
 5ac47a686f2a97e73c6322a0f89c0df83e29ed8de6a2272c5283f0542a94622f  ./expected-value/threshold.nc
diff --git a/improver_tests/expected_value/test_expected_value.py b/improver_tests/expected_value/test_expected_value.py
index 7426fb119a..2a4c470308 100644
--- a/improver_tests/expected_value/test_expected_value.py
+++ b/improver_tests/expected_value/test_expected_value.py
@@ -129,13 +129,13 @@ def test_process_threshold_basic(threshold_cube):
     expval = ExpectedValue().process(threshold_cube)
     # threshold probablities are asymmetric, so the mean is slightly above the
     # 282 kelvin threshold
-    assert_allclose(expval.data, 282.15, atol=1e-6, rtol=0.0)
+    assert_allclose(expval.data, np.float32(282.15), atol=1e-6, rtol=0.0)
 
 
 def test_process_threshold_unequal(unequal_threshold_cube):
     """Check calculation of expected value using unevenly spaced threshold data."""
     expval = ExpectedValue().process(unequal_threshold_cube)
-    assert_allclose(expval.data, 282.0925, atol=1e-6, rtol=0.0)
+    assert_allclose(expval.data, np.float32(282.0925), atol=1e-6, rtol=0.0)
 
 
 def test_process_threshold_doublebounded(double_bounded_threshold_cube):