diff --git a/modules/icing/util.py b/modules/icing/util.py
index 67112e80048f6bf408426055d87d23c1c1eefab1..495c547ee35aa3e071ff3438621e3204e1718063 100644
--- a/modules/icing/util.py
+++ b/modules/icing/util.py
@@ -714,6 +714,13 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
         import deeplearning.icing_fcn as icing_fcn
         model_module = icing_fcn
 
+    if day_model_path is not None:
+        day_model = model_module.load_model(day_model_path, day_night='DAY', l1b_andor_l2=l1b_andor_l2,
+                                            use_flight_altitude=use_flight_altitude)
+    if night_model_path is not None:
+        night_model = model_module.load_model(night_model_path, day_night='NIGHT', l1b_andor_l2=l1b_andor_l2,
+                                              use_flight_altitude=use_flight_altitude)
+
     if use_flight_altitude is True:
         flight_levels = [0, 1, 2, 3, 4]
     else:
@@ -821,11 +828,15 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
                 for ds_name in day_train_params:
                     day_grd_dct[ds_name] = np.stack(day_data_dct[ds_name])
 
-                preds_day_dct, probs_day_dct = model_module.run_evaluate_static(day_grd_dct, num_day_tiles, day_model_path,
-                                                                                day_night='DAY', l1b_or_l2=l1b_andor_l2,
-                                                                                prob_thresh=prob_thresh,
-                                                                                use_flight_altitude=use_flight_altitude,
-                                                                                flight_levels=flight_levels)
+                # preds_day_dct, probs_day_dct = model_module.run_evaluate_static(day_grd_dct, num_day_tiles, day_model_path,
+                #                                                                 day_night='DAY', l1b_or_l2=l1b_andor_l2,
+                #                                                                 prob_thresh=prob_thresh,
+                #                                                                 use_flight_altitude=use_flight_altitude,
+                #                                                                 flight_levels=flight_levels)
+                preds_day_dct, probs_day_dct = \
+                    model_module.run_evaluate_static_2(day_model, day_grd_dct, num_day_tiles, prob_thresh=prob_thresh,
+                                                       use_flight_altitude=use_flight_altitude,
+                                                       flight_levels=flight_levels)
                 day_idxs = np.array(day_idxs)
                 for flvl in flight_levels:
                     day_preds = preds_day_dct[flvl]
@@ -851,13 +862,18 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
                 for ds_name in nght_train_params:
                     nght_grd_dct[ds_name] = np.stack(nght_data_dct[ds_name])
 
-                preds_nght_dct, probs_nght_dct = model_module.run_evaluate_static(nght_grd_dct, num_nght_tiles,
-                                                                                  model_path,
-                                                                                  day_night=mode,
-                                                                                  l1b_or_l2=l1b_andor_l2,
-                                                                                  prob_thresh=prob_thresh,
-                                                                                  use_flight_altitude=use_flight_altitude,
-                                                                                  flight_levels=flight_levels)
+                # preds_nght_dct, probs_nght_dct = model_module.run_evaluate_static(nght_grd_dct, num_nght_tiles,
+                #                                                                   model_path,
+                #                                                                   day_night=mode,
+                #                                                                   l1b_or_l2=l1b_andor_l2,
+                #                                                                   prob_thresh=prob_thresh,
+                #                                                                   use_flight_altitude=use_flight_altitude,
+                #                                                                   flight_levels=flight_levels)
+                preds_nght_dct, probs_nght_dct = \
+                    model_module.run_evaluate_static_2(night_model, nght_grd_dct, num_nght_tiles,
+                                                       prob_thresh=prob_thresh,
+                                                       use_flight_altitude=use_flight_altitude,
+                                                       flight_levels=flight_levels)
                 nght_idxs = np.array(nght_idxs)
                 for flvl in flight_levels:
                     nght_preds = preds_nght_dct[flvl]