minor

modules/icing/pirep_goes.py

@@ -21,6 +21,7 @@ dir_fmt = '%Y_%m_%d_%j'
 # dir_list = [f.path for f in os.scandir('.') if f.is_dir()]
 ds_dct = {}
 goes_ds_dct = {}
+
 #pirep_file = '/home/rink/data/pireps/pireps_2019010000_2019063023.csv'
 pirep_file = '/home/rink/data/pireps/pireps_20180101_20200331.csv'
 
@@ -36,7 +37,7 @@ ds_list = ['cld_height_acha', 'cld_geo_thick', 'cld_press_acha', 'sensor_zenith_
            'lwc_dcomp', 'cld_emiss_acha', 'conv_cloud_fraction', 'cloud_type', 'cloud_phase', 'cloud_mask']
 ds_types = ['f4' for i in range(23)] + ['i4' 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'
 
 icing_files = [f for f in glob.glob('/data/Personal/rink/icing_ml/icing_2*_DAY.h5')]
@@ -364,6 +365,7 @@ def make_for_full_domain_predict(clvrx_file, name_list=l1b_ds_list):
     h5f.close()
 
     return grd_dct, ll, cc
+# -------------------------------------------------------------------------------------------
 
 
 def analyze(ice_dct, no_ice_dct):
@@ -1302,6 +1304,10 @@ def run_mean_std(check_cloudy=False, no_icing_to_icing_ratio=5):
                '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']
 
+    # 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']
+
     mean_std_dct = {}
 
     ice_flist = [f for f in glob.glob('/data/Personal/rink/icing2/icing_2*.h5')]