diff --git a/modules/util/abi_surfrad.py b/modules/util/abi_surfrad.py
index 7ae58dd743547ebe4d2240126ebf2dbae242c165..394b44e3b6540d85a28f6f64b1c5bff445d7d1d4 100644
--- a/modules/util/abi_surfrad.py
+++ b/modules/util/abi_surfrad.py
@@ -170,7 +170,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
                         np.save(out_directory + 'valid_ires_' + str(cnt), valid_i)
                     num_valid_samples = valid_m.shape[0]
 
-                    param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+                    param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=14)[0]
 
                 data_tiles_i = []
                 data_tiles_m = []
@@ -191,7 +191,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
             np.save(out_directory + 'valid_mres_' + str(cnt), valid_m)
             np.save(out_directory + 'valid_ires_' + str(cnt), valid_i)
         num_valid_samples = valid_m.shape[0]
-        param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+        param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=14)[0]
     total_num_valid_samples += num_valid_samples
     print('total_num_valid_samples, total_num_not_missing: ', total_num_valid_samples, total_num_not_missing)
     print(param_valid_hist)
@@ -242,7 +242,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
                         np.save(out_directory + 'train_mres_' + str(cnt), train_m)
                     num_train_samples = train_m.shape[0]
 
-                    param_train_hist += np.histogram(train_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+                    param_train_hist += np.histogram(train_m[param_idx_m, ], bins=14)[0]
 
                 data_tiles_i = []
                 data_tiles_m = []
@@ -263,7 +263,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
             np.save(out_directory + 'train_ires_' + str(cnt), train_i)
             np.save(out_directory + 'train_mres_' + str(cnt), train_m)
         num_train_samples = train_m.shape[0]
-        param_train_hist += np.histogram(train_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+        param_train_hist += np.histogram(train_m[param_idx_m, ], bins=14)[0]
     total_num_train_samples += num_train_samples
     print('total_num_train_samples,  total_num_not_missing: ', total_num_train_samples, total_num_not_missing)
     print(param_train_hist)