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Commit 2e56935c authored by tomrink's avatar tomrink
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fix some cf issues

parent c40ec28e
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...@@ -3,7 +3,7 @@ import deeplearning.icing_fcn as icing_fcn ...@@ -3,7 +3,7 @@ import deeplearning.icing_fcn as icing_fcn
import deeplearning.icing_cnn as icing_cnn import deeplearning.icing_cnn as icing_cnn
from icing.pirep_goes import setup, time_filter_3 from icing.pirep_goes import setup, time_filter_3
from icing.moon_phase import moon_phase from icing.moon_phase import moon_phase
from util.util import get_time_tuple_utc, is_day, check_oblique, get_average, homedir, write_icing_file_nc4,\ from util.util import get_time_tuple_utc, is_day, check_oblique, get_median, homedir, write_icing_file_nc4,\
write_icing_file_nc4_viirs,\ write_icing_file_nc4_viirs,\
make_for_full_domain_predict, make_for_full_domain_predict_viirs_clavrx, prepare_evaluate make_for_full_domain_predict, make_for_full_domain_predict_viirs_clavrx, prepare_evaluate
from util.plot import make_icing_image from util.plot import make_icing_image
...@@ -130,7 +130,7 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h ...@@ -130,7 +130,7 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
for j in range(num_lines): for j in range(num_lines):
for i in range(num_elems): for i in range(num_elems):
k = i + j*num_elems k = i + j*num_elems
avg_bt.append(get_average(bt_10_4[k])) avg_bt.append(get_median(bt_10_4[k]))
if not check_oblique(satzen[k]): if not check_oblique(satzen[k]):
continue continue
...@@ -155,32 +155,65 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h ...@@ -155,32 +155,65 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
preds_2d_dct[flvl] = fd_preds preds_2d_dct[flvl] = fd_preds
probs_2d_dct[flvl] = fd_probs probs_2d_dct[flvl] = fd_probs
if (day_night == 'AUTO' or day_night == 'DAY') and num_day_tiles > 0: if day_night == 'AUTO' or day_night == 'DAY':
if num_day_tiles > 0:
day_data_dct = {name: [] for name in day_train_params} day_data_dct = {name: [] for name in day_train_params}
for name in day_train_params: for name in day_train_params:
for k in day_idxs: for k in day_idxs:
day_data_dct[name].append(data_dct[name][k]) day_data_dct[name].append(data_dct[name][k])
day_grd_dct = {name: None for name in day_train_params} day_grd_dct = {name: None for name in day_train_params}
for ds_name in day_train_params: for ds_name in day_train_params:
day_grd_dct[ds_name] = np.stack(day_data_dct[ds_name]) day_grd_dct[ds_name] = np.stack(day_data_dct[ds_name])
preds_day_dct, probs_day_dct = model_module.run_evaluate_static(day_grd_dct, num_day_tiles, day_model_path, preds_day_dct, probs_day_dct = model_module.run_evaluate_static(day_grd_dct, num_day_tiles, day_model_path,
day_night='DAY', l1b_or_l2=l1b_andor_l2, day_night='DAY', l1b_or_l2=l1b_andor_l2,
prob_thresh=prob_thresh, prob_thresh=prob_thresh,
use_flight_altitude=use_flight_altitude, use_flight_altitude=use_flight_altitude,
flight_levels=flight_levels) flight_levels=flight_levels)
day_idxs = np.array(day_idxs) day_idxs = np.array(day_idxs)
for flvl in flight_levels: for flvl in flight_levels:
day_preds = preds_day_dct[flvl] day_preds = preds_day_dct[flvl]
day_probs = probs_day_dct[flvl] day_probs = probs_day_dct[flvl]
fd_preds = preds_2d_dct[flvl] fd_preds = preds_2d_dct[flvl]
fd_probs = probs_2d_dct[flvl] fd_probs = probs_2d_dct[flvl]
fd_preds[day_idxs] = day_preds[:] fd_preds[day_idxs] = day_preds[:]
fd_probs[day_idxs] = day_probs[:] fd_probs[day_idxs] = day_probs[:]
if (day_night == 'AUTO' or day_night == 'NIGHT') and num_nght_tiles > 0: if num_nght_tiles > 0:
mode = 'NIGHT'
model_path = night_model_path
if use_dnb and lunar_illuminated:
model_path = day_model_path
mode = 'DAY'
nght_train_params = train_params_dnb
nght_data_dct = {name: [] for name in nght_train_params}
for name in nght_train_params:
for k in nght_idxs:
nght_data_dct[name].append(data_dct[name][k])
nght_grd_dct = {name: None for name in nght_train_params}
for ds_name in nght_train_params:
nght_grd_dct[ds_name] = np.stack(nght_data_dct[ds_name])
preds_nght_dct, probs_nght_dct = model_module.run_evaluate_static(nght_grd_dct, num_nght_tiles,
model_path,
day_night=mode,
l1b_or_l2=l1b_andor_l2,
prob_thresh=prob_thresh,
use_flight_altitude=use_flight_altitude,
flight_levels=flight_levels)
nght_idxs = np.array(nght_idxs)
for flvl in flight_levels:
nght_preds = preds_nght_dct[flvl]
nght_probs = probs_nght_dct[flvl]
fd_preds = preds_2d_dct[flvl]
fd_probs = probs_2d_dct[flvl]
fd_preds[nght_idxs] = nght_preds[:]
fd_probs[nght_idxs] = nght_probs[:]
elif day_night == 'NIGHT':
model_path = night_model_path model_path = night_model_path
all_idxs = np.arange(num_lines * num_elems)
mode = 'NIGHT' mode = 'NIGHT'
if use_dnb and lunar_illuminated: if use_dnb and lunar_illuminated:
...@@ -190,7 +223,7 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h ...@@ -190,7 +223,7 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
nght_data_dct = {name: [] for name in nght_train_params} nght_data_dct = {name: [] for name in nght_train_params}
for name in nght_train_params: for name in nght_train_params:
for k in nght_idxs: for k in all_idxs:
nght_data_dct[name].append(data_dct[name][k]) nght_data_dct[name].append(data_dct[name][k])
nght_grd_dct = {name: None for name in nght_train_params} nght_grd_dct = {name: None for name in nght_train_params}
for ds_name in nght_train_params: for ds_name in nght_train_params:
...@@ -201,15 +234,15 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h ...@@ -201,15 +234,15 @@ def run_icing_predict(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output_dir=h
prob_thresh=prob_thresh, prob_thresh=prob_thresh,
use_flight_altitude=use_flight_altitude, use_flight_altitude=use_flight_altitude,
flight_levels=flight_levels) flight_levels=flight_levels)
nght_idxs = np.array(nght_idxs)
for flvl in flight_levels: for flvl in flight_levels:
nght_preds = preds_nght_dct[flvl] nght_preds = preds_nght_dct[flvl]
nght_probs = probs_nght_dct[flvl] nght_probs = probs_nght_dct[flvl]
fd_preds = preds_2d_dct[flvl] fd_preds = preds_2d_dct[flvl]
fd_probs = probs_2d_dct[flvl] fd_probs = probs_2d_dct[flvl]
fd_preds[nght_idxs] = nght_preds[:] fd_preds[all_idxs] = nght_preds[:]
fd_probs[nght_idxs] = nght_probs[:] fd_probs[all_idxs] = nght_probs[:]
# combine day and night into full grid ------------------------------------------
for flvl in flight_levels: for flvl in flight_levels:
fd_preds = preds_2d_dct[flvl] fd_preds = preds_2d_dct[flvl]
fd_probs = probs_2d_dct[flvl] fd_probs = probs_2d_dct[flvl]
......
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