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Commit 84da9cc2 authored by tomrink's avatar tomrink
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...@@ -69,7 +69,7 @@ def extract(mask_image, image_ts, clavrx_path): ...@@ -69,7 +69,7 @@ def extract(mask_image, image_ts, clavrx_path):
contrail_lats = contrail_lats[keep] contrail_lats = contrail_lats[keep]
# Indexes of contrail_press for individual bins # Indexes of contrail_press for individual bins
bins = np.arange(100, 1000, 100) bins = np.arange(100, 1000, 50)
binned_indexes = np.digitize(contrail_press, bins) binned_indexes = np.digitize(contrail_press, bins)
# Store the indexes in a dictionary where the key is the bin number and value is the list of indexes # Store the indexes in a dictionary where the key is the bin number and value is the list of indexes
...@@ -110,6 +110,14 @@ def extract(mask_image, image_ts, clavrx_path): ...@@ -110,6 +110,14 @@ def extract(mask_image, image_ts, clavrx_path):
horz_wind_spd_3d = wind_speed(uwind_3d, vwind_3d) horz_wind_spd_3d = wind_speed(uwind_3d, vwind_3d)
vert_shear_3d = first_derivative(horz_wind_spd_3d, axis=0, x=temp_3d.coords['Pressure'] * units.hPa) vert_shear_3d = first_derivative(horz_wind_spd_3d, axis=0, x=temp_3d.coords['Pressure'] * units.hPa)
voxel_dict = {key: [] for key in bins_dict.keys()}
for key in bins_dict.keys():
print('working on pressure level: ', bins[key])
for c_idx in bins_dict[key]:
lon = contrail_lons[c_idx]
lat = contrail_lats[c_idx]
press = contrail_press[c_idx]
xr_dataset.close() xr_dataset.close()
......
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