From e19cbe6ba8a6e510f147753fb3ec6b555b20d3e9 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 12 Sep 2021 11:22:13 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_cnn.py | 15 ++++++++-------
1 file changed, 8 insertions(+), 7 deletions(-)
diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index f5b4076d..2c579ed4 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -48,8 +48,8 @@ f.close()
# 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_acha', 'cld_opd_acha']
# -- DAY L2 -------------
train_params = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction',
- 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'cld_cwp_dcomp', 'iwc_dcomp', 'lwc_dcomp']
-# 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp']
+# 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'cld_cwp_dcomp', 'iwc_dcomp', 'lwc_dcomp']
+ 'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp']
# -- DAY L1B --------------------------------
# train_params = ['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',
@@ -886,8 +886,8 @@ def run_restore_static(filename_tst, ckpt_dir_s_path):
return cm_avg
-def run_evaluate_static(filename, ckpt_dir_s_path, prob_thresh=0.5):
- data_dct, ll, cc = make_for_full_domain_predict(filename, name_list=train_params)
+def run_evaluate_static(filename, ckpt_dir_s_path, prob_thresh=0.5, domain='FD'):
+ data_dct, ll, cc = make_for_full_domain_predict(filename, name_list=train_params, doamin=domain)
ckpt_dir_s = os.listdir(ckpt_dir_s_path)
prob_s = []
for ckpt in ckpt_dir_s:
@@ -920,9 +920,10 @@ def run_evaluate_static(filename, ckpt_dir_s_path, prob_thresh=0.5):
ice_cc = cc[ice_mask]
ice_ll = ll[ice_mask]
- nav = GEOSNavigation(sub_lon=-75.0, CFAC=5.6E-05, COFF=-0.101332, LFAC=-5.6E-05, LOFF=0.128212, num_elems=2500,
- num_lines=1500)
-
+ if domain == 'CONUS':
+ nav = GEOSNavigation(sub_lon=-75.0, CFAC=5.6E-05, COFF=-0.101332, LFAC=-5.6E-05, LOFF=0.128212, num_elems=2500, num_lines=1500)
+ elif domain == 'FD':
+ nav = GEOSNavigation(sub_lon=-75.0, CFAC=5.6E-05, COFF=-0.151844, LFAC=-5.6E-05, LOFF=0.151844, num_elems=5424, num_lines=5424)
ice_lons = []
ice_lats = []
for k in range(ice_cc.shape[0]):
--
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