diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index e700585f86f701e96685691767225dbb246b2563..8077855fb4b8d50a1f812fcd7e4f05df721a9fef 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -784,11 +784,14 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     bt = np.where(np.isnan(bt), 0, bt)
     bt = normalize(bt, 'temp_11_0um_nom', mean_std_dct)
 
-    refl_lo = get_grid_values_all(h5f, 'refl_submin_ch01')
+    # refl_lo = get_grid_values_all(h5f, 'refl_submin_ch01')
+    refl_lo = get_grid_values_all(h5f, 'refl_0_65um_nom_min_sub')
     refl_lo = normalize(refl_lo, 'refl_0_65um_nom', mean_std_dct)
-    refl_hi = get_grid_values_all(h5f, 'refl_submax_ch01')
+    # refl_hi = get_grid_values_all(h5f, 'refl_submax_ch01')
+    refl_hi = get_grid_values_all(h5f, 'refl_0_65um_nom_max_sub')
     refl_hi = normalize(refl_hi, 'refl_0_65um_nom', mean_std_dct)
-    refl_std = get_grid_values_all(h5f, 'refl_substdev_ch01')
+    # refl_std = get_grid_values_all(h5f, 'refl_substdev_ch01')
+    refl_std = get_grid_values_all(h5f, 'refl_0_65um_nom_stddev_sub')
     refl_std = np.where(np.isnan(refl_std), 0, refl_std)
 
     cp = get_grid_values_all(h5f, label_param)