snapshot...

modules/util/viirs_surfrad.py

@@ -18,47 +18,51 @@ solzen_name = group_name_m + 'solar_zenith'
 
 label_params = [group_name_i+target_param]
 data_params = [group_name_m+'temp_11_0um', group_name_m+'refl_0_65um', group_name_m+target_param]
+param_idx_m = data_params.index(group_name_m + target_param)
+param_idx_i = data_params.index(group_name_i + target_param)
 
 
-def keep_tile(param, param_s, tile):
-    k = param_s.index(param)
-    grd_k = tile[k, ].copy()
+def is_missing(p_idx, tile):
+    keep = np.invert(np.isnan(tile[p_idx, ]))
+    if np.sum(keep) / keep.size < 0.98:
+        return True
+
+
+def keep_tile(p_idx, tile):
+    grd_k = tile[p_idx, ].copy()
 
     if target_param == 'cloud_probability':
-        grd_k, bflag = process_cld_prob_(grd_k)
+        grd_k = process_cld_prob(grd_k)
     elif target_param == 'cld_opd_dcomp':
-        grd_k, bflag = process_cld_opd_(grd_k)
+        grd_k = process_cld_opd(grd_k)
 
     if grd_k is not None:
-        tile[k, ] = grd_k
-        return tile, bflag
+        tile[p_idx, ] = grd_k
+        return tile
     else:
-        return None, bflag
+        return None
 
 
-def process_cld_prob_(grd_k):
+def process_cld_prob(grd_k):
     keep = np.invert(np.isnan(grd_k))
     num_keep = np.sum(keep)
-    if num_keep / grd_k.size < 0.98:
-        return None, True
     keep_clr = np.where(keep, grd_k < 0.20, False)
     frac_keep = np.sum(keep_clr)/num_keep
-    if not (0.38 < frac_keep < 0.62):
-        return None, False
-    grd_k = np.where(np.invert(keep), 0, grd_k)  # Convert NaNs to 0
-    return grd_k, False
+    if not (0.35 < frac_keep < 0.65):
+        return None
+    grd_k = np.where(np.invert(keep), 0, grd_k)  # Convert NaN to 0
+    return grd_k
 
 
-def process_cld_opd_(grd_k):
+def process_cld_opd(grd_k):
     keep = np.invert(np.isnan(grd_k))
     num_keep = np.sum(keep)
-    if num_keep / grd_k.size < 0.98:
-        return None, True
     grd_k = np.where(np.invert(keep), 0, grd_k)
     keep = np.where(keep, np.logical_and(0.1 < grd_k, grd_k < 158.0), False)
-    if np.sum(keep)/num_keep < 0.50:
-        return None, False
-    return grd_k, False
+    frac_keep = np.sum(keep)/num_keep
+    if frac_keep < 0.50:
+        return None
+    return grd_k
 
 
 def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', start=10):
@@ -103,6 +107,8 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
             f_cnt += 1
             h5f.close()
 
+            total_num_not_missing += num_not_missing
+
             if len(data_train_tiles) == 0 and len(data_valid_tiles) == 0:
                 continue
 
@@ -131,7 +137,6 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
                 print('  num_train_samples, num_valid_samples, progress % : ', num_train_samples, num_valid_samples, int((f_cnt/num_files)*100))
                 total_num_train_samples += num_train_samples
                 total_num_valid_samples += num_valid_samples
-                total_num_not_missing += num_not_missing
                 print('total_num_train_samples, total_num_valid_samples, total_num_not_missing: ', total_num_train_samples,
                       total_num_valid_samples, total_num_not_missing)
                 print('--------------------------------------------------')
@@ -144,7 +149,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
 #  tile_width: Must be even!
 #  kernel_size: Must be odd!
 def run(h5f, param_s, train_tiles, valid_tiles, lbl_param_s, lbl_train_tiles, lbl_valid_tiles,
-        num_keep_x_tiles=8, tile_width=64, kernel_size=3, day_night='DAY'):
+        num_keep_x_tiles=8, tile_width=64, kernel_size=3, day_night='ANY'):
 
     border = int((kernel_size - 1)/2) + 1  # Need to add for interpolation with no edge effects
 
@@ -153,7 +158,7 @@ def run(h5f, param_s, train_tiles, valid_tiles, lbl_param_s, lbl_train_tiles, lb
     num_lines = h5f[param_name].shape[0]
     num_pixels = h5f[param_name].shape[1]  # Must be even
 
-    if day_night != 'BOTH':
+    if day_night != 'ANY':
         solzen = get_grid_values(h5f, solzen_name, 0, 0, None, num_lines, num_pixels)
 
     grd_s = []
@@ -204,10 +209,11 @@ def run(h5f, param_s, train_tiles, valid_tiles, lbl_param_s, lbl_train_tiles, lb
 
             nda = data[:, j_a:j_b, i_a:i_b]
             nda_lbl = label[:, j_a*2:j_b*2, i_a*2:i_b*2]
-            nda_lbl, missing_flag = keep_tile(group_name_i+target_param, lbl_param_s, nda_lbl)
-            if not missing_flag:
+            if is_missing(param_idx_i, nda_lbl):
+                continue
             num_not_missing += 1
 
+            nda_lbl = keep_tile(group_name_i+target_param, lbl_param_s, nda_lbl)
             if nda_lbl is not None:
                 data_tiles.append(nda)
                 lbl_tiles.append(nda_lbl)