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Commit 32ff55c9 authored by tomrink's avatar tomrink
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output missing outside of lat training range

parent 7a8634ab
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...@@ -571,7 +571,7 @@ flt_level_ranges_str[3] = '6000_8000' ...@@ -571,7 +571,7 @@ flt_level_ranges_str[3] = '6000_8000'
flt_level_ranges_str[4] = '8000_15000' flt_level_ranges_str[4] = '8000_15000'
def write_icing_file(clvrx_str_time, output_dir, preds_dct, probs_dct, x, y, lons, lats): def write_icing_file(clvrx_str_time, output_dir, preds_dct, probs_dct, x, y, lons, lats, lat_range=[-63.0, 63.0]):
outfile_name = output_dir + 'icing_prediction_'+clvrx_str_time+'.h5' outfile_name = output_dir + 'icing_prediction_'+clvrx_str_time+'.h5'
h5f_out = h5py.File(outfile_name, 'w') h5f_out = h5py.File(outfile_name, 'w')
...@@ -581,17 +581,23 @@ def write_icing_file(clvrx_str_time, output_dir, preds_dct, probs_dct, x, y, lon ...@@ -581,17 +581,23 @@ def write_icing_file(clvrx_str_time, output_dir, preds_dct, probs_dct, x, y, lon
flt_lvls = list(preds_dct.keys()) flt_lvls = list(preds_dct.keys())
for flvl in flt_lvls: for flvl in flt_lvls:
preds = preds_dct[flvl] preds = preds_dct[flvl]
keep = np.logical_or(lats < lat_range[0], lats > lat_range[1])
np.where(keep, preds, -1)
icing_pred_ds = h5f_out.create_dataset('icing_prediction_level_'+flt_level_ranges_str[flvl], data=preds, dtype='i2') icing_pred_ds = h5f_out.create_dataset('icing_prediction_level_'+flt_level_ranges_str[flvl], data=preds, dtype='i2')
icing_pred_ds.attrs.create('coordinates', data='y x') icing_pred_ds.attrs.create('coordinates', data='y x')
icing_pred_ds.attrs.create('grid_mapping', data='Projection') icing_pred_ds.attrs.create('grid_mapping', data='Projection')
icing_pred_ds.attrs.create('missing', data=-1)
icing_pred_ds.dims[0].label = dim_0_name icing_pred_ds.dims[0].label = dim_0_name
icing_pred_ds.dims[1].label = dim_1_name icing_pred_ds.dims[1].label = dim_1_name
for flvl in flt_lvls: for flvl in flt_lvls:
probs = probs_dct[flvl] probs = probs_dct[flvl]
keep = np.logical_or(lats < lat_range[0], lats > lat_range[1])
np.where(keep, probs, -1.0)
icing_prob_ds = h5f_out.create_dataset('icing_probability_level_'+flt_level_ranges_str[flvl], data=probs, dtype='f4') icing_prob_ds = h5f_out.create_dataset('icing_probability_level_'+flt_level_ranges_str[flvl], data=probs, dtype='f4')
icing_prob_ds.attrs.create('coordinates', data='y x') icing_prob_ds.attrs.create('coordinates', data='y x')
icing_prob_ds.attrs.create('grid_mapping', data='Projection') icing_prob_ds.attrs.create('grid_mapping', data='Projection')
icing_prob_ds.attrs.create('missing', data=-1.0)
icing_prob_ds.dims[0].label = dim_0_name icing_prob_ds.dims[0].label = dim_0_name
icing_prob_ds.dims[1].label = dim_1_name icing_prob_ds.dims[1].label = dim_1_name
......
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