def get_channels(l1b_file, geom_file, cloud_mask, mod06_file):
with h5py.File(geom_file) as geom_h5, h5py.File(l1b_file) as l1b_h5:
#channel31 is emissive channel 10
#pdb.set_trace()
band_names = text_(l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']
['EV_1KM_Emissive'].attrs['band_names'])
band_names = band_names.split(',')
index31 = band_names.index('31')
chan31 = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'][index31, :, :]
scale = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_scales'][index31]
offset = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_offsets'][index31]
chan31 = (chan31 - offset) * scale
index1 = 0 #channel 1 is first 250 meter reflective channel
reflective = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_250_Aggr1km_RefSB'][0, :, :]
scale = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_250_Aggr1km_RefSB'].attrs['reflectance_scales']
offset = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_250_Aggr1km_RefSB'].attrs['reflectance_offsets']
chan1 = (reflective - offset[0]) * scale[0]
index29 = band_names.index('29')
chan29 = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'][index29, :, :]
scale = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_scales'][index29]
offset = l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_offsets'][index29]
chan29 = (chan29 - offset) * scale
the_lon = geom_h5['MODIS_Swath_Type_GEO']['Geolocation Fields'][
'Longitude'][...]
the_lat = geom_h5['MODIS_Swath_Type_GEO']['Geolocation Fields'][
'Latitude'][...]
c31_bright = planckInvert(11.03, chan31)
c29_bright = planckInvert(8.55, chan29)
with h5py.File(cloud_mask) as cm_h5:
maskout = cm_h5['cloudmask'][...]
landout = cm_h5['landmask'][...]
with h5py.File(mod06_file) as m06_h5:
phase = m06_h5['mod06']['Data Fields']['Cloud_Phase_Infrared_1km'][...]
phase = phase.astype(np.int32)
return c31_bright, c29_bright, maskout, landout, phase, the_lon, the_lat
def get_channels(l1b_file,geom_file,cloud_mask,mod06_file):
with h5py.File(geom_file) as geom_h5,h5py.File(l1b_file) as l1b_h5:
#channel31 is emissive channel 10
#pdb.set_trace()
band_names=text_(l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['band_names'])
band_names=band_names.split(',')
index31=band_names.index('31')
chan31=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index31,:,:]
scale=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index31]
offset=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index31]
chan31=(chan31 - offset)*scale
index1=0 #channel 1 is first 250 meter reflective channel
reflective=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_250_Aggr1km_RefSB'][0,:,:]
scale=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_250_Aggr1km_RefSB'].attrs['reflectance_scales']
offset=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_250_Aggr1km_RefSB'].attrs['reflectance_offsets']
chan1=(reflective - offset[0])*scale[0]
index29=band_names.index('29')
chan29=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index29,:,:]
scale=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index29]
offset=l1b_h5['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index29]
chan29=(chan29 - offset)*scale
the_lon=geom_h5['MODIS_Swath_Type_GEO']['Geolocation Fields']['Longitude'][...]
the_lat=geom_h5['MODIS_Swath_Type_GEO']['Geolocation Fields']['Latitude'][...]
c31_bright=planckInvert(11.03,chan31)
c29_bright=planckInvert(8.55,chan29)
with h5py.File(cloud_mask) as cm_h5:
maskout=cm_h5['cloudmask'][...]
landout=cm_h5['landmask'][...]
with h5py.File(mod06_file) as m06_h5:
phase=m06_h5['mod06']['Data Fields']['Cloud_Phase_Infrared_1km'][...]
phase=phase.astype(np.int32)
return c31_bright,c29_bright,maskout,landout,phase,the_lon,the_lat
#channel31 is emissive channel 10
index31=10
chan31=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index31,:,:]
scale=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index31]
offset=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index31]
chan31=(chan31 - offset)*scale
#channel29 is emissive channel 8
index29=8
chan29=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index29,:,:]
scale=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index29]
offset=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index29]
chan29=(chan29 - offset)*scale
the_lon=geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields']['Longitude'][...]
the_lat=geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields']['Latitude'][...]
ch31_bright=planckInvert(11.03,chan31)
ch29_bright=planckInvert(8.6,chan29)
lim= None
the_slice=slice(0,lim)
small_lons=the_lon[the_slice,:]
small_lats=the_lat[the_slice,:]
chan31_small=chan31[the_slice,:]
chan29_small=chan29[the_slice,:]
lcc_values,lon_res,lat_res=find_corners(small_lons,small_lats)
lcc_values['fix_aspect']=True
lcc_values['resolution']='c'
lcc_values['projection']='lcc'
with h5py.File(mod06_file) as m06_h5:
with h5py.File(geom_file) as geom_file, h5py.File(l1b_file) as l1b_file:
#channel31 is emissive channel 10
index31 = 10
chan31 = l1b_file['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'][index31, :, :]
scale = l1b_file['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_scales'][index31]
offset = l1b_file['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_offsets'][index31]
chan31 = (chan31 - offset) * scale
the_lon = geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields'][
'Longitude'][...]
the_lat = geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields'][
'Latitude'][...]
ch31_bright = planckInvert(11.03, chan31)
lim = None
the_slice = slice(0, lim)
small_lons = the_lon[the_slice, :]
small_lats = the_lat[the_slice, :]
chan31_small = chan31[the_slice, :]
lcc_values, lon_res, lat_res = find_corners(small_lons, small_lats)
lcc_values['fix_aspect'] = True
lcc_values['resolution'] = 'c'
lcc_values['projection'] = 'lcc'
plt.close('all')
missing_val = -999.
#channel31 is emissive channel 10
index31=10
chan31=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index31,:,:]
scale=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index31]
offset=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index31]
chan31=(chan31 - offset)*scale
#channel32 is emissive channel 8
index32=11
chan32=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index32,:,:]
scale=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index32]
offset=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index32]
chan32=(chan32 - offset)*scale
the_lon=geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields']['Longitude'][...]
the_lat=geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields']['Latitude'][...]
ch31_bright=planckInvert(11.03,chan31)
ch32_bright=planckInvert(12.02,chan32)
lim= None
the_slice=slice(0,lim)
small_lons=the_lon[the_slice,:]
small_lats=the_lat[the_slice,:]
chan31_small=chan31[the_slice,:]
chan32_small=chan32[the_slice,:]
lcc_values,lon_res,lat_res=find_corners(small_lons,small_lats)
lcc_values['fix_aspect']=True
lcc_values['resolution']='c'
lcc_values['projection']='lcc'
plt.close('all')
print "looping: "
Temp,press,rho,height=hydrostat(T_surf,p_surf,the_lapse_rate,delta_z,num_levels)
#
# I played around with the magnitude of k_lambda until the weighting functions
# peaked at a range of heights
#
k_lambda=np.array([0.002,0.003,0.006,0.010,0.012,0.016,0.020])*5.
wavel_k_tup=zip(wavelengths,k_lambda)
rad_dict=OrderedDict()
bright_dict=OrderedDict()
for wavel,k_lambda in wavel_k_tup:
tau=find_tau(r_gas,k_lambda,rho,height)
#convert wavel to meters
rad_value=top_radiance(tau,Temp,height,T_surf,wavel*1.e-6,k_lambda)
rad_dict[wavel]=rad_value
bright_dict[wavel]=planckInvert(wavel*1.e-6,rad_value)
rad_profs.append(rad_dict)
bright_profs.append(bright_dict)
plt.close('all')
fig1,axis1=plt.subplots(1,1)
for index,the_profile in enumerate(rad_profs):
wavelengths=the_profile.keys()
radiances=np.array(the_profile.values())
radiances=radiances/radiances.mean()
#
# convert dT_dz to K/km
#
axis1.plot(wavelengths,radiances,label=str(dT_dz[index]*1.e3))
axis1.set_title('normalized radiances at top of atmosphere for {} values of dT/dz (K/km)'.format(len(dT_dz)))
axis1.set_ylabel('normalized radiances (no units)')
chan1=chan1[hit]
chan31=chan31[hit]
lim= None
the_slice=slice(0,lim)
with h5py.File(mask_fileA) as cm_h5A,h5py.File(mask_fileB) as cm_h5B:
maskoutA=cm_h5A['cloudmask'][the_slice,:]
landoutA=cm_h5A['landmask'][the_slice,:]
maskoutB=cm_h5B['cloudmask'][the_slice,:]
landoutB=cm_h5B['landmask'][the_slice,:]
landout=np.concatenate([landoutA.ravel(),landoutB.ravel()])
maskout=np.concatenate([maskoutA.ravel(),maskoutB.ravel()])
landout=landout[hit]
maskout=maskout[hit]
c31_bright=planckInvert(11.03,chan31)
lcc_values,lon_res,lat_res=find_corners(the_lons,the_lats)
lcc_values['fix_aspect']=True
lcc_values['lat_0']=49.5
lcc_values['lat_1']=47.5
lcc_values['lat_2']=51
lcc_values['llcrnrlat']=48.
lcc_values['urcrnrlat']=50.5
lcc_values['llcrnrlon']= -126.5
lcc_values['urcrnrlon']= -121.5
## lcc_values['width']=500.e3
## lcc_values['height']=200.e3
lcc_values['resolution']='h'
lcc_values['projection']='lcc'
chan31 = (chan31 - offset) * scale
#channel22 is emissive channel 2
index22 = 11
chan22 = l1b_file['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'][index22, :, :]
scale = l1b_file['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_scales'][index22]
offset = l1b_file['MODIS_SWATH_Type_L1B']['Data Fields'][
'EV_1KM_Emissive'].attrs['radiance_offsets'][index22]
chan22 = (chan22 - offset) * scale
the_lon = geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields'][
'Longitude'][...]
the_lat = geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields'][
'Latitude'][...]
ch31_bright = planckInvert(11.03, chan31)
ch22_bright = planckInvert(3.96, chan22)
max22bright = np.nanmax(ch22_bright)
min22bright = np.nanmax(ch22_bright)
lim = None
the_slice = slice(0, lim)
small_lons = the_lon[the_slice, :]
small_lats = the_lat[the_slice, :]
chan31_small = chan31[the_slice, :]
chan22_small = chan22[the_slice, :]
lcc_values, lon_res, lat_res = find_corners(small_lons, small_lats)
lcc_values['fix_aspect'] = True
lcc_values['resolution'] = 'c'
reflective=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_250_Aggr1km_RefSB'][0,:,:]
scale=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_250_Aggr1km_RefSB'].attrs['reflectance_scales']
offset=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_250_Aggr1km_RefSB'].attrs['reflectance_offsets']
chan1=(reflective - offset[0])*scale[0]
index29=band_names.index('29')
chan29=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'][index29,:,:]
scale=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_scales'][index29]
offset=l1b_file['MODIS_SWATH_Type_L1B']['Data Fields']['EV_1KM_Emissive'].attrs['radiance_offsets'][index29]
chan29=(chan29 - offset)*scale
the_lon=geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields']['Longitude'][...]
the_lat=geom_file['MODIS_Swath_Type_GEO']['Geolocation Fields']['Latitude'][...]
c31_bright=planckInvert(11.03,chan31)
c29_bright=planckInvert(8.55,chan29)
lim= None
the_slice=slice(0,lim)
small_lons=the_lon[the_slice,:]
small_lats=the_lat[the_slice,:]
chan31_small=chan31[the_slice,:]
chan1_small=chan1[the_slice,:]
cloud_mask,=glob.glob(mask_file)
with h5py.File(cloud_mask) as cm_h5:
maskout=cm_h5['cloudmask'][the_slice,:]
landout=cm_h5['landmask'][the_slice,:]
with h5py.File(mod06_file) as m06_h5:
phase=m06_h5['mod06']['Data Fields']['Cloud_Phase_Infrared_1km'][the_slice,:]