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Add a new group in the IODA format for L2 products with averaging kernel and slant columns #1018

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Merged
srherbener merged 9 commits into from
Aug 9, 2022
Merged

Add a new group in the IODA format for L2 products with averaging kernel and slant columns #1018

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2446600
firt commit, add smoothing group
Aug 1, 2022
95c3b0b
group smoothing in lib
Aug 1, 2022
ac9c264
correct changes
Aug 1, 2022
c7ea917
restore
Aug 1, 2022
84d786b
add smoothing for mopitt
Aug 1, 2022
848d2e8
test data
Aug 1, 2022
52dd8fa
change group name
Aug 8, 2022
e6e619f
update test data
Aug 8, 2022
0699f9a
Merge branch 'develop' into feature/aksmoothing
srherbener Aug 9, 2022
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16 changes: 8 additions & 8 deletions src/compo/mopitt_co_nc2ioda.py
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Original file line number Diff line number Diff line change
Expand Up @@ -158,11 +158,11 @@ def _read(self):
self.outdata[('datetime', 'MetaData')] = times[flg]
self.outdata[('latitude', 'MetaData')] = lats[flg]
self.outdata[('longitude', 'MetaData')] = lons[flg]
self.outdata[('apriori_term', 'MetaData')] = ap_tc[flg]
self.outdata[('apriori_term', 'RtrvlAncData')] = ap_tc[flg]
for k in range(nlevs):
varname_ak = ('averaging_kernel_level_'+str(k+1), 'MetaData')
varname_ak = ('averaging_kernel_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_ak] = ak_tc_dimless[:, k][flg]
varname_pr = ('pressure_level_'+str(k+1), 'MetaData')
varname_pr = ('pressure_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_pr] = hPa2Pa * pr_gd[:, k][flg]

self.outdata[self.varDict[iodavar]['valKey']] = xr_tc[flg]
Expand All @@ -176,13 +176,13 @@ def _read(self):
self.outdata[('latitude', 'MetaData')], lats[flg]))
self.outdata[('longitude', 'MetaData')] = np.concatenate((
self.outdata[('longitude', 'MetaData')], lons[flg]))
self.outdata[('apriori_term', 'MetaData')] = np.concatenate((
self.outdata[('apriori_term', 'MetaData')], ap_tc[flg]))
self.outdata[('apriori_term', 'RtrvlAncData')] = np.concatenate((
self.outdata[('apriori_term', 'RtrvlAncData')], ap_tc[flg]))
for k in range(nlevs):
varname_ak = ('averaging_kernel_level_'+str(k+1), 'MetaData')
varname_ak = ('averaging_kernel_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_ak] = np.concatenate(
(self.outdata[varname_ak], ak_tc_dimless[:, k][flg]))
varname_pr = ('pressure_level_'+str(k+1), 'MetaData')
varname_pr = ('pressure_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_pr] = np.concatenate(
(self.outdata[varname_pr], hPa2Pa * pr_gd[:, k][flg]))

Expand All @@ -199,7 +199,7 @@ def _read(self):

for k in range(nlevs):
varname = 'averaging_kernel_level_'+str(k+1)
vkey = (varname, 'MetaData')
vkey = (varname, 'RtrvlAncData')
self.varAttrs[vkey]['coordinates'] = 'longitude latitude'
self.varAttrs[vkey]['units'] = ''

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34 changes: 14 additions & 20 deletions src/compo/tropomi_no2_nc2ioda.py
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Original file line number Diff line number Diff line change
Expand Up @@ -116,15 +116,13 @@ def _read(self):
self.outdata[('latitude', 'MetaData')] = lats
self.outdata[('longitude', 'MetaData')] = lons
self.outdata[('quality_assurance_value', 'MetaData')] = qa_value
self.outdata[('troposphere_layer_index', 'MetaData')] = trop_layer
self.outdata[('air_mass_factor_total', 'MetaData')] = total_airmass
self.outdata[('air_mass_factor_troposphere', 'MetaData')] = trop_airmass
self.outdata[('tropospheric_averaging_kernel_precision', 'MetaData')] = kernel_err
self.outdata[('averaging_kernel_precision', 'MetaData')] = kernel_err_total
self.outdata[('troposphere_layer_index', 'RtrvlAncData')] = trop_layer
self.outdata[('air_mass_factor_total', 'RtrvlAncData')] = total_airmass
self.outdata[('air_mass_factor_troposphere', 'RtrvlAncData')] = trop_airmass
for k in range(nlevs):
varname_ak = ('averaging_kernel_level_'+str(k+1), 'MetaData')
varname_ak = ('averaging_kernel_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_ak] = avg_kernel[..., k].ravel()
varname_pr = ('pressure_level_'+str(k+1), 'MetaData')
varname_pr = ('pressure_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_pr] = ak[k] + bk[k]*ps[...].ravel()
else:
self.outdata[('datetime', 'MetaData')] = np.concatenate((
Expand All @@ -135,21 +133,17 @@ def _read(self):
self.outdata[('longitude', 'MetaData')], lons))
self.outdata[('quality_assurance_value', 'MetaData')] = np.concatenate((
self.outdata[('quality_assurance_value', 'MetaData')], qa_value))
self.outdata[('troposphere_layer_index', 'MetaData')] = np.concatenate((
self.outdata[('troposphere_layer_index', 'MetaData')], trop_layer))
self.outdata[('air_mass_factor_total', 'MetaData')] = np.concatenate((
self.outdata[('air_mass_factor_total', 'MetaData')], total_airmass))
self.outdata[('air_mass_factor_troposphere', 'MetaData')] = np.concatenate((
self.outdata[('air_mass_factor_troposphere', 'MetaData')], trop_airmass))
self.outdata[('tropospheric_averaging_kernel_precision', 'MetaData')] = np.concatenate((
self.outdata[('tropospheric_averaging_kernel_precision', 'MetaData')], kernel_err))
self.outdata[('averaging_kernel_precision', 'MetaData')] = np.concatenate((
self.outdata[('averaging_kernel_precision', 'MetaData')], kernel_err_total))
self.outdata[('troposphere_layer_index', 'RtrvlAncData')] = np.concatenate((
self.outdata[('troposphere_layer_index', 'RtrvlAncData')], trop_layer))
self.outdata[('air_mass_factor_total', 'RtrvlAncData')] = np.concatenate((
self.outdata[('air_mass_factor_total', 'RtrvlAncData')], total_airmass))
self.outdata[('air_mass_factor_troposphere', 'RtrvlAncData')] = np.concatenate((
self.outdata[('air_mass_factor_troposphere', 'RtrvlAncData')], trop_airmass))
for k in range(nlevs):
varname_ak = ('averaging_kernel_level_'+str(k+1), 'MetaData')
varname_ak = ('averaging_kernel_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_ak] = np.concatenate(
(self.outdata[varname_ak], avg_kernel[..., k].ravel()))
varname_pr = ('pressure_level_'+str(k+1), 'MetaData')
varname_pr = ('pressure_level_'+str(k+1), 'RtrvlAncData')
self.outdata[varname_pr] = np.concatenate(
(self.outdata[varname_pr], ak[k] + bk[k]*ps[...].ravel()))
for ncvar, iodavar in obsvars.items():
Expand All @@ -176,7 +170,7 @@ def _read(self):

for k in range(nlevs):
varname = 'averaging_kernel_level_'+str(k+1)
vkey = (varname, 'MetaData')
vkey = (varname, 'RtrvlAncData')
self.varAttrs[vkey]['coordinates'] = 'longitude latitude'
self.varAttrs[vkey]['units'] = ''

Expand Down
4 changes: 2 additions & 2 deletions test/testoutput/mopitt_co.nc
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4 changes: 2 additions & 2 deletions test/testoutput/tropomi_no2.nc
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