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da/cosmo/icbc4ctdas.py

+import sys
+import numpy as np
+from netCDF4 import Dataset
+
+half_a=(0,7.367743,210.39389,855.361755,2063.779785,3850.91333,6144.314941,8802.356445,11632.75879,14411.12402,16899.46875,18864.75,20097.40234,20429.86328,19755.10938,18045.18359,15379.80566,12077.44629,8765.053711,6018.019531,3960.291504,1680.640259,713.218079,298.495789,95.636963,0)
+half_b=(1,0.99401945,0.97966272,0.95182151,0.90788388,0.84737492,0.77159661,0.68326861,0.58616841,0.48477158,0.38389215,0.28832296,0.2024759,0.13002251,0.07353383,0.03412116,0.01114291,0.00181516,0.00007582,0,0,0,0,0,0,0)
+
+date=str(sys.argv[1])
+ifile = Dataset('CT2016.molefrac_glb3x2_'+date[:4]+'-'+date[4:6]+'-'+date[6:8]+'.nc', mode='r')
+levs = ifile.variables['level'][:]
+lats = ifile.variables['latitude'][:]
+lons = ifile.variables['longitude'][:]
+
+co2 = np.squeeze(ifile.variables['co2'][:])
+p_bound = np.squeeze(ifile.variables['pressure'][:])
+ifile.close()
+
+lats_tf=(lats<=63.)&(lats>=35.)
+lons_tf=(lons<=34.5)&(lons>=-10.5)
+lats=lats[np.logical_and(lats>=35.,lats<=63.)]
+lons=lons[np.logical_and(lons>=-10.5,lons<=34.5)]
+
+co2=co2[:,:,lats_tf,:][:,:,:,lons_tf]*0.04401/0.02896     # * mmCO2/mmAir
+p_bound=p_bound[:,:,lats_tf,:][:,:,:,lons_tf]
+p=np.empty(shape=(8,25,15,16))
+for i in range(0,24):
+    p[:,i,:,:]=(p_bound[:,i,:,:]+p_bound[:,i+1,:,:])/2.
+sp=np.squeeze(p[:,0,:,:])
+
+hyam=np.empty(25)
+hybm=np.empty(25)
+for i in range(0,25):
+    hyam[i]=(half_a[i]+half_a[i+1])/2.
+    hybm[i]=(half_b[i]+half_b[i+1])/2.
+
+
+ttt=("00","03","06","09","12","15","18","21")
+
+for ti,tt in enumerate(ttt):
+
+    ofile = Dataset(sys.argv[2]+'/ct_'+date[:4]+date[4:6]+date[6:8]+tt+'.nc', mode='w')
+    olev = ofile.createDimension('level', len(levs))
+    olat = ofile.createDimension('lat', len(lats))
+    olon = ofile.createDimension('lon', len(lons))
+    odate = ofile.createDimension('date', 1)
+
+    olat = ofile.createVariable('lat', np.float64, ('lat',))
+    olon = ofile.createVariable('lon', np.float64, ('lon',))
+    olev = ofile.createVariable('level', np.float64, ('level',))
+    otime = ofile.createVariable('time', np.float64, ('date',))
+    odate = ofile.createVariable('date', np.float64, ('date',))
+
+    ohyam = ofile.createVariable('hyam', np.float32, ('level',))
+    ohybm = ofile.createVariable('hybm', np.float32, ('level',))
+
+    oco2 = ofile.createVariable('CO2_BG', np.float32, ('date','level','lat','lon'),fill_value=-999.99)
+    op = ofile.createVariable('pressure', np.float32, ('date','level','lat','lon'),fill_value=-999.99)
+    osp = ofile.createVariable('PSURF', np.float32, ('date','lat','lon'),fill_value=-999.99)
+    op0 = ofile.createVariable('P0', np.float32, ('date'),fill_value=-999.99)
+
+    odate.comment = 'time-interval average, centered on times in the date axis'
+    odate.long_name = 'UTC dates and times'
+    odate.units = 'days since '+date[:4]+'-'+date[4:6]+'-'+date[6:8]+' 00:00:00'
+#    otime.dtype = 'double'
+
+    otime.units = 'seconds since '+date[:4]+'-'+date[4:6]+'-'+date[6:8]+' 00:00:00'
+    otime.calendar = 'proleptic_gregorian'
+
+    olat.standard_name = 'latitude'
+    olat.long_name = 'latitude'
+    olat.units = 'degree_north'
+    olat.axis = 'Y'
+
+    olon.standard_name = 'longitude'
+    olon.long_name = 'longitude'
+    olon.units = 'degree_east'
+    olon.axis = 'X'
+
+    ohyam.long_name = 'hybrid A coefficient at layer midpoints'
+    ohyam.units = 'Pa'
+
+    ohybm.long_name = 'hybrid B coefficient at layer midpoints'
+    ohybm.units = '1'
+
+    olev.positive = 'up'
+    olev.units = 'levels'
+
+    oco2.standard_name = 'mass_fraction_of_carbon_dioxide_in_air'
+    oco2.long_name = 'mass mixing ratio of CO2 from outside Europe'
+    oco2.units = 'kg kg-1'
+
+    op.long_name = 'pressure_at_center_levels'
+    op.units = 'Pa'
+    op.standard_name = 'air pressure'
+
+    op0.units = 'Pa'
+
+    osp.cell_methods = 'level:mean'
+    osp.units = 'Pa'
+    osp.long_name = 'surface pressure'
+    osp.table = '128'
+    osp.lev = '1'
+
+    olat[:] = lats
+    olon[:] = lons
+    olev[:] = levs
+    odate[:] = 3.*ti/24.
+    otime[:] = ti*3*3600
+
+    oco2[:] = co2[ti,:]
+    osp[:] = sp[ti,:]
+    op[:] = p[ti,:]
+    op0[:] = 1.
+    ohyam[:] = hyam
+    ohybm[:] = hybm
+
+    ofile.close()