diff --git a/SERA_testing_rebuilding_exposure_from_cells_alternative_01.py b/SERA_testing_rebuilding_exposure_from_cells_alternative_01.py
index 5ecfe3a5e2f80b068afea8bdfff35235fcec5b97..ce8f7e268dc73448c32072c1b835661a36e808f8 100644
--- a/SERA_testing_rebuilding_exposure_from_cells_alternative_01.py
+++ b/SERA_testing_rebuilding_exposure_from_cells_alternative_01.py
@@ -103,7 +103,7 @@ def run_this_file(config_dict):
             # Go admin unit by admin unit:
             adm_level= admin_levels[case]
             # Retrieve the IDs of all admin units associated with country_name and adm_level:
-            adm_ids_list= gdet_psql.retrieve_distinct_admin_IDs_by_country_case_admin_level(DB_name_grid, DB_username_grid, DB_schema_name_grid, DB_table_name, country_name, case, adm_level) 
+            adm_ids_list= gdet_psql.retrieve_distinct_admin_IDs_by_country_case_admin_level(DB_name_grid, DB_username_grid, DB_schema_name_grid, DB_table_name_grid, country_name, case, adm_level) 
             # Initialise variables to collect values per admin unit from SERA csv files:
             sera_num_bdgs_per_admin_unit= np.zeros([len(adm_ids_list)])
             sera_num_dwells_per_admin_unit= np.zeros([len(adm_ids_list)])
@@ -134,6 +134,8 @@ def run_this_file(config_dict):
                         param_for_weighting_adj= 'ghs_km2'
                     elif param_for_weighting=='sat_27f':
                         param_for_weighting_adj= 'sat_27f_km2'
+                    elif param_for_weighting=='sat_27f_model':
+                        param_for_weighting_adj= 'sat_27f_model_km2'    
                     else:
                         param_for_weighting_adj= param_for_weighting                       
                     cells_ids, _= gdet_psql.get_cells_and_weights_from_country_occup_adm_id(DB_name_grid, DB_username_grid, DB_schema_name_grid, DB_table_name_grid, country_name, case, admin_id, param_for_weighting_adj)