diff --git a/modules/deeplearning/srcnn.py b/modules/deeplearning/srcnn.py
index cd3881a7e3f907acc7e54eadbd8be89bb1d4c1f5..e7ffa10f5811df0f6beb96bcbc1a232298d34773 100644
--- a/modules/deeplearning/srcnn.py
+++ b/modules/deeplearning/srcnn.py
@@ -49,8 +49,9 @@ mean_std_dct.update(mean_std_dct_l2)
 
 # emis_params = ['temp_10_4um_nom', 'temp_11_0um_nom', 'temp_12_0um_nom', 'temp_13_3um_nom', 'temp_3_75um_nom',
 #                'temp_6_7um_nom', 'temp_6_2um_nom', 'temp_7_3um_nom', 'temp_8_5um_nom', 'temp_9_7um_nom']
-data_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'cld_temp_acha', 'cld_press_acha']
-label_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'cld_temp_acha', 'cld_press_acha']
+
+data_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'cloud_fraction']
+label_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'cloud_fraction']
 
 
 DO_ZERO_OUT = False
@@ -671,6 +672,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
 def run_evaluate_static_new(in_file, out_file, ckpt_dir):
     h5f = h5py.File(in_file, 'r')
     grd = get_grid_values_all(h5f, data_param)
+    grd = grd[::2, ::2]
     leny, lenx = grd.shape
     x = np.arange(lenx)
     y = np.arange(leny)