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da/cosmo/icbc4ctdas.py_with_time_instead_of_date

+import sys
+import numpy as np
+from netCDF4 import Dataset
+
+idir = '/store/empa/em05/parsenov/cosmo_input/icbc/'
+odir = '/store/empa/em05/parsenov/cosmo_input/icbc/processed/ensemble/'
+
+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)
+
+def ct(date, co2_bg):
+    date = str(date)
+    co2_bg = np.array(co2_bg)
+    ifile = Dataset(idir+'3d_molefractions_1x1_'+date+'.nc', mode='r')
+    levs = ifile.variables['levels'][:]
+    lats = ifile.variables['latitude'][:]
+    lons = ifile.variables['longitude'][:]
+
+    co2 = np.squeeze(ifile.variables['co2'][:])*(0.04401/0.02896)
+    p_bound = np.squeeze(ifile.variables['pressure'][:])
+    ifile.close()
+
+    lats_tf=(lats<=66.5)&(lats>=33.5)
+    lons_tf=(lons<=39.5)&(lons>=-13.5)
+    lats=lats[np.logical_and(lats>=33.5,lats<=66.5)]
+    lons=lons[np.logical_and(lons>=-13.5,lons<=39.5)]
+
+    #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)]
+
+    p_bound=p_bound[:,:,lats_tf,:][:,:,:,lons_tf]
+    p=np.empty(shape=(8,25,34,54))
+#    p=np.empty(shape=(8,25,15,16))    # was like this before
+    for i in range(0,24):
+        p[:,i,:,:]=(p_bound[:,i,:,:]+p_bound[:,i+1,:,:])/2.
+    sp=np.squeeze(p[:,0,:,:])
+
+    co2=co2[:,:,lats_tf,:][:,:,:,lons_tf]
+    co2_ens = np.empty(shape=(co2_bg.size,8,25,34,54))
+    for i in range(0, co2_bg.size):
+        co2_ens[i,:,:,:,:] = co2[:,:,:,:]*co2_bg[i]
+
+    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(odir+'ct_'+date+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('time', 1)
+
+        olat = ofile.createVariable('lat', np.float64, ('lat',))
+        olon = ofile.createVariable('lon', np.float64, ('lon',))
+        olev = ofile.createVariable('level', np.float64, ('level',))
+        odate = ofile.createVariable('time', np.float64, ('time',))
+
+        ohyam = ofile.createVariable('hyam', np.float32, ('level',))
+        ohybm = ofile.createVariable('hybm', np.float32, ('level',))
+
+        op = ofile.createVariable('pressure', np.float32, ('time','level','lat','lon'),fill_value=-999.99)
+        osp = ofile.createVariable('PSURF', np.float32, ('time','lat','lon'),fill_value=-999.99)
+        op0 = ofile.createVariable('P0', np.float32, ('time'),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'
+
+        odate.units = 'seconds since '+date[:4]+'-'+date[4:6]+'-'+date[6:8]+' 00:00:00'
+        odate.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'
+
+        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
+        odate[:] = ti*3*3600
+
+        osp[:] = sp[ti,:]
+        op[:] = p[ti,:]
+        op0[:] = 1.
+        ohyam[:] = hyam
+        ohybm[:] = hybm
+
+        for e in range(0, co2_bg.size):
+            ens = str(e).zfill(3)
+            oco2 = ofile.createVariable('BG_'+ens, np.float64, ('time','level','lat','lon'),fill_value=-999.99)
+            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'
+            oco2[:] = co2_ens[e,ti,:,:,:]
+
+        ofile.close()