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)