diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 8f23e9966f159fd1476702ad859dee3d6eecee5e..c0b2c15e270b8743825970dcbfb842835ead685e 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -824,8 +824,8 @@ def run_evaluate_static_full_disk(in_file, out_file, ckpt_dir):
     refl_hi = get_grid_values_all(h5f, 'refl_0_65um_nom_max_sub')
     refl_std = get_grid_values_all(h5f, 'refl_0_65um_nom_stddev_sub')
     cp = get_grid_values_all(h5f, label_param)
-    lons = get_grid_values_all(h5f, 'longitude')
-    lats = get_grid_values_all(h5f, 'latitude')
+    # lons = get_grid_values_all(h5f, 'longitude')
+    # lats = get_grid_values_all(h5f, 'latitude')
 
     bt_nh = bt[0:h_y_len+1, :]
     refl_nh = refl[0:h_y_len+1, :]
@@ -841,8 +841,6 @@ def run_evaluate_static_full_disk(in_file, out_file, ckpt_dir):
     refl_std_sh = refl_std[h_y_len-1:y_len, :]
     cp_sh = cp[h_y_len-1:y_len, :]
 
-    h5f.close()
-
     cld_frac_nh = run_evaluate_static_(bt_nh, refl_nh, refl_lo_nh, refl_hi_nh, refl_std_nh, cp_nh, ckpt_dir)
 
     cld_frac_sh = run_evaluate_static_(bt_sh, refl_sh, refl_lo_sh, refl_hi_sh, refl_std_sh, cp_sh, ckpt_dir)
@@ -852,17 +850,20 @@ def run_evaluate_static_full_disk(in_file, out_file, ckpt_dir):
     cld_frac_out[border:h_y_len, border:x_len - border] = cld_frac_nh[0, :, :]
     cld_frac_out[h_y_len:y_len - border, border:x_len - border] = cld_frac_sh[0, :, :]
 
-    var_names = ['cloud_fraction', 'temp_11_0um', 'refl_0_65um']
-    dims = ['num_params', 'y', 'x']
-    da = xr.DataArray(np.stack([cld_frac_out, bt, refl], axis=0), dims=dims)
-    da.assign_coords({
-        'num_params': var_names,
-        'lat': (['y', 'x'], lats),
-        'lon': (['y', 'x'], lons)
-    })
+    # make DataArray
+    # var_names = ['cloud_fraction', 'temp_11_0um', 'refl_0_65um']
+    # dims = ['num_params', 'y', 'x']
+    # da = xr.DataArray(np.stack([cld_frac_out, bt, refl], axis=0), dims=dims)
+    # da.assign_coords({
+    #     'num_params': var_names,
+    #     'lat': (['y', 'x'], lats),
+    #     'lon': (['y', 'x'], lons)
+    # })
+
+    h5f.close()
 
     if out_file is not None:
-        np.save(out_file, (cld_frac_out, bt, refl, cp, lons, lats))
+        np.save(out_file, (cld_frac_out, bt, refl, cp))
     else:
         # return [cld_frac_out, bt, refl, cp, lons, lats]
         return cld_frac_out