snapshot...

modules/icing/pirep_goes.py

@@ -47,7 +47,8 @@ ds_range = ['actual_range' for i in range(23)] + [None for i in range(3)]
 #            'supercooled_cloud_fraction', 'cld_temp_acha', 'cld_opd_acha', 'solar_zenith_angle',
 #            'cld_reff_acha', 'cld_reff_dcomp', 'cld_reff_dcomp_1', 'cld_reff_dcomp_2', 'cld_reff_dcomp_3',
 #            'cld_opd_dcomp', 'cld_opd_dcomp_1', 'cld_opd_dcomp_2', 'cld_opd_dcomp_3', 'cld_cwp_dcomp', 'iwc_dcomp',
-#            'lwc_dcomp', 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_opd_nlcomp', 'cld_reff_nlcomp', 'cloud_type', 'cloud_phase', 'cloud_mask']
+#            'lwc_dcomp', 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_opd_nlcomp', 'cld_reff_nlcomp', 'cloud_type',
+#            'cloud_phase', 'cloud_mask']
 # ds_types = ['f4' for i in range(25)] + ['i1' for i in range(3)]
 # ds_fill = [-32768 for i in range(25)] + [-128 for i in range(3)]
 # ds_range = ['actual_range' for i in range(25)] + [None for i in range(3)]
@@ -2519,7 +2520,6 @@ def analyze(preds_file, labels, prob_avg, test_file):
     return labels[nda == 0], prob_avg[nda == 0], labels[nda == 1], prob_avg[nda == 1], labels[nda == 2], prob_avg[nda == 2]
 
 
-
 def get_training_parameters(day_night='DAY', l1b_andor_l2='both'):
     if day_night == 'DAY':
         train_params_l2 = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction',