diff --git a/modules/deeplearning/cloud_opd_srcnn_abi.py b/modules/deeplearning/cloud_opd_srcnn_abi.py
index f713d7e718835eabae6bd8d6bcf35a1e45896a58..237d1040f9cd96c37b01240505c839a2a019da38 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi.py
@@ -57,6 +57,7 @@ params_i = ['temp_11_0um_nom', 'refl_0_65um_nom', 'temp_stddev3x3_ch31', 'refl_s
 data_params_half = ['temp_11_0um_nom', 'refl_0_65um_nom']
 data_params_full = ['refl_0_65um_nom']
 sub_fields = ['refl_submin_ch01', 'refl_submax_ch01', 'refl_substddev_ch01']
+sub_fields = ['temp_stddev3x3_ch31', 'refl_stddev3x3_ch01']
 
 label_idx_i = params_i.index(label_param)
 label_idx = params.index(label_param)
@@ -759,8 +760,8 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     print('INPUT: ', data.shape)
 
     cld_opd_sres = nn.run_evaluate(data, ckpt_dir)
-    cld_opd_sres = descale(cld_opd_sres, label_param, mean_std_dct)
-    # cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
+    # cld_opd_sres = descale(cld_opd_sres, label_param, mean_std_dct)
+    cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
     _, ylen, xlen, _ = cld_opd_sres.shape
     print('OUT: ', ylen, xlen)