diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index c06c7b499c7f7e9bbf0e0a049d1fff3221a551be..69d7bc62790f56d906e241ec442ff4fe7166aced 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -776,19 +776,19 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
 
     h5f = h5py.File(in_file, 'r')
 
-    bt = get_grid_values_all(h5f, 'orig/temp_11_0um')
-    refl = get_grid_values_all(h5f, 'orig/refl_0_65um')
+    bt = get_grid_values_all(h5f, 'temp_11_0um_nom')
+    refl = get_grid_values_all(h5f, 'refl_0_65um_nom')
     y_len, x_len = bt.shape[0], bt.shape[1]
-    lons = get_grid_values_all(h5f, 'orig/longitude')
-    lats = get_grid_values_all(h5f, 'orig/latitude')
+    lons = get_grid_values_all(h5f, 'longitude')
+    lats = get_grid_values_all(h5f, 'latitude')
     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, 'orig/refl_submin_ch01')
+    refl_lo = get_grid_values_all(h5f, 'refl_submin_ch01')
     refl_lo = normalize(refl_lo, 'refl_0_65um_nom', mean_std_dct)
-    refl_hi = get_grid_values_all(h5f, 'orig/refl_submax_ch01')
+    refl_hi = get_grid_values_all(h5f, 'refl_submax_ch01')
     refl_hi = normalize(refl_hi, 'refl_0_65um_nom', mean_std_dct)
-    refl_std = get_grid_values_all(h5f, 'orig/refl_substdev_ch01')
+    refl_std = get_grid_values_all(h5f, 'refl_substdev_ch01')
     refl_std = np.where(np.isnan(refl_std), 0, refl_std)
 
     cp = get_grid_values_all(h5f, 'orig/'+label_param)