From 52f2a5dacafaf9930b63d6f128cbd989aa83edc5 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 8 Nov 2023 10:47:42 -0600
Subject: [PATCH] snapshot...
---
modules/icing/util.py | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/modules/icing/util.py b/modules/icing/util.py
index 2bc029b4..302c5518 100644
--- a/modules/icing/util.py
+++ b/modules/icing/util.py
@@ -1081,7 +1081,8 @@ def run_icing_predict_image(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output
l1b_andor_l2='BOTH', use_flight_altitude=True, flight_levels=[0, 1, 2, 3, 4],
res_fac=1, model_type='CNN', extent=[-105, -70, 15, 50], pirep_file=None, icing_dict=None,
data_extent=None, use_max_cth_level=False,
- obs_lons=None, obs_lats=None, obs_times=None, obs_alt=None, obs_intensity=None):
+ obs_lons=None, obs_lats=None, obs_times=None, obs_alt=None, obs_intensity=None,
+ icing_intensity_plot_min=1):
if model_type == 'CNN':
import deeplearning.icing_cnn as icing_cnn
model_module = icing_cnn
@@ -1261,7 +1262,7 @@ def run_icing_predict_image(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output
elif obs_times is not None:
keep = np.logical_and(obs_times >= ts_0, obs_times < ts_1)
keep = np.where(keep, np.logical_and(obs_alt >= alt_lo, obs_alt < alt_hi), False)
- keep = np.where(keep, obs_intensity > 1, False)
+ keep = np.where(keep, obs_intensity >= icing_intensity_plot_min, False)
keep_lons = obs_lons[keep]
keep_lats = obs_lats[keep]
else:
--
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