snapshot...

modules/icing/pirep_goes.py

@@ -38,10 +38,10 @@ ds_types = ['f4' for i in range(23)] + ['i4' for i in range(3)]
 
 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/icing2_ml/icing_2*.h5')]
+icing_files = [f for f in glob.glob('/data/Personal/rink/icing2_ml/icing_l1b_2*.h5')]
 icing_l1b_files = []
 
-no_icing_files = [f for f in glob.glob('/data/Personal/rink/icing2_ml/no_icing_2*.h5')]
+no_icing_files = [f for f in glob.glob('/data/Personal/rink/icing2_ml/no_icing_l1b_2*.h5')]
 no_icing_l1b_files = []
 
 train_params_day = ['cld_height_acha', 'cld_geo_thick', 'supercooled_cloud_fraction', 'cld_temp_acha', 'cld_press_acha',
@@ -1156,8 +1156,7 @@ 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']
 
-    mean_dct = {}
-    std_dct = {}
+    mean_std_dct = {}
 
     ice_flist = [f for f in glob.glob('/home/rink/data/icing/icing_2*.h5')]
     no_ice_flist = [f for f in glob.glob('/home/rink/data/icing/no_icing_2*.h5')]
@@ -1213,13 +1212,12 @@ def run_mean_std(check_cloudy=False, no_icing_to_icing_ratio=5):
 
         print(dname,': (', mean, mean_i, mean_ni, ') (', std, std_i, std_ni, ')')
 
-        mean_dct[dname] = mean
-        std_dct[dname] = std
+        mean_std_dct[dname] = (mean, std)
 
     [h5f.close() for h5f in ice_h5f_lst]
     [h5f.close() for h5f in no_ice_h5f_lst]
 
-    return mean_dct, std_dct
+    return mean_std_dct
 
 
 def split_data(num_obs, perc=0.2, skip=1, shuffle=True):