diff --git a/modules/icing/util.py b/modules/icing/util.py index 46c094af435084e29499d9dc948b0334d639a9e7..86b6feeada303d7e4fcf7c380b1f1499a8717a9e 100644 --- a/modules/icing/util.py +++ b/modules/icing/util.py @@ -42,18 +42,21 @@ def get_training_parameters(day_night='DAY', l1b_andor_l2='both', satellite='GOE if day_night == 'DAY': train_params_l2 = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction', 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp'] + # train_params_l2 = ['cld_temp_acha', 'supercooled_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp'] if satellite == 'GOES16': train_params_l1b = ['temp_10_4um_nom', 'temp_11_0um_nom', 'temp_12_0um_nom', 'temp_13_3um_nom', 'temp_3_75um_nom', 'temp_6_2um_nom', 'temp_6_7um_nom', 'temp_7_3um_nom', 'temp_8_5um_nom', 'temp_9_7um_nom', 'refl_0_47um_nom', 'refl_0_65um_nom', 'refl_0_86um_nom', 'refl_1_38um_nom', 'refl_1_60um_nom'] # 'refl_2_10um_nom'] + # train_params_l1b = ['refl_1_38um_nom', 'refl_1_60um_nom', 'temp_8_5um_nom', 'temp_11_0um_nom'] elif satellite == 'H08': train_params_l1b = ['temp_10_4um_nom', 'temp_12_0um_nom', 'temp_8_5um_nom', 'temp_3_75um_nom', 'refl_2_10um_nom', 'refl_1_60um_nom', 'refl_0_86um_nom', 'refl_0_47um_nom'] else: train_params_l2 = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction', 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_acha', 'cld_opd_acha'] + # train_params_l2 = ['cld_temp_acha', 'supercooled_cloud_fraction', 'cld_emiss_acha', 'cld_reff_acha', 'cld_opd_acha'] if use_dnb is True: train_params_l2 = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction', @@ -62,6 +65,7 @@ def get_training_parameters(day_night='DAY', l1b_andor_l2='both', satellite='GOE if satellite == 'GOES16': train_params_l1b = ['temp_10_4um_nom', 'temp_11_0um_nom', 'temp_12_0um_nom', 'temp_13_3um_nom', 'temp_3_75um_nom', 'temp_6_2um_nom', 'temp_6_7um_nom', 'temp_7_3um_nom', 'temp_8_5um_nom', 'temp_9_7um_nom'] + # train_params_l1b = ['temp_8_5um_nom', 'temp_11_0um_nom'] elif satellite == 'H08': train_params_l1b = ['temp_10_4um_nom', 'temp_12_0um_nom', 'temp_8_5um_nom', 'temp_3_75um_nom']