snapshot...

modules/icing/pirep_goes.py

@@ -26,6 +26,7 @@ goes_ds_dct = {}
 #pirep_file = '/home/rink/data/pireps/pireps_2019010000_2019063023.csv'
 pirep_file = '/home/rink/data/pireps/pireps_20180101_20200331.csv'
 
+# --- Radiometric parameters and metadata ------------------------------------------------
 l1b_ds_list = ['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']
@@ -33,6 +34,7 @@ l1b_ds_types = ['f4' for ds in l1b_ds_list]
 l1b_ds_fill = [-32767 for i in range(10)] + [-32768 for i in range(5)]
 l1b_ds_range = ['actual_range' for ds in l1b_ds_list]
 
+# --- CLAVRx L2 parameters and metadata
 ds_list = ['cld_height_acha', 'cld_geo_thick', 'cld_press_acha', 'sensor_zenith_angle', 'supercooled_prob_acha',
            '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',
@@ -41,10 +43,12 @@ ds_list = ['cld_height_acha', 'cld_geo_thick', 'cld_press_acha', 'sensor_zenith_
 ds_types = ['f4' for i in range(23)] + ['i1' for i in range(3)]
 ds_fill = [-32768 for i in range(23)] + [-128 for i in range(3)]
 ds_range = ['actual_range' for i in range(23)] + [None for i in range(3)]
+# --------------------------------------------
 
 # An example file for accessing and copying metadata
 a_clvr_file = '/home/rink/data/clavrx/clavrx_OR_ABI-L1b-RadC-M3C01_G16_s20190020002186.level2.nc'
 
+# Location of files for tile/FOV extraction
 icing_files = [f for f in glob.glob('/data/Personal/rink/icing_ml/icing_2*_DAY.h5')]
 # icing_files = [f for f in glob.glob('/data/Personal/rink/icing_ml/icing_l1b_2*_DAY.h5')]
 # icing_files = [f for f in glob.glob('/data/Personal/rink/icing_ml/icing_l1b_2*_ANY.h5')]
@@ -55,6 +59,7 @@ no_icing_files = [f for f in glob.glob('/data/Personal/rink/icing_ml/no_icing_2*
 # no_icing_files = [f for f in glob.glob('/data/Personal/rink/icing_ml/no_icing_l1b_2*_ANY.h5')]
 no_icing_l1b_files = []
 
+
 train_params_day = ['cld_height_acha', 'cld_geo_thick', 'supercooled_cloud_fraction', 'cld_temp_acha', 'cld_press_acha',
                     'solar_zenith_angle', 'cld_reff_dcomp', 'cld_opd_dcomp', 'cld_cwp_dcomp', 'iwc_dcomp', 'lwc_dcomp',
                     'cloud_phase', 'cloud_mask']