diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index afdf02cd5f36e25eb8d937259b4bf90d05456f9d..c06c7b499c7f7e9bbf0e0a049d1fff3221a551be 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -59,7 +59,8 @@ label_param = 'cloud_probability'
 
 params = ['temp_11_0um_nom', 'refl_0_65um_nom', 'refl_submin_ch01', 'refl_submax_ch01', 'refl_substddev_ch01', label_param]
 params_i = ['temp_11_0um_nom', 'refl_0_65um_nom', label_param]
-data_params_half = ['temp_11_0um_nom']
+# data_params_half = ['temp_11_0um_nom']
+data_params_half = ['temp_11_0um_nom', 'refl_0_65um_nom']
 sub_fields = ['refl_submin_ch01', 'refl_submax_ch01', 'refl_substddev_ch01']
 data_params_full = ['refl_0_65um_nom']
 
@@ -281,7 +282,7 @@ class SRCNN:
         self.test_label_files = None
 
         # self.n_chans = len(data_params_half) + len(data_params_full) + 1
-        self.n_chans = 5
+        self.n_chans = 6
 
         self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))