コード例 #1
0
ファイル: sat.py プロジェクト: inogs/bit.sea
forecasts        =TS.get_forecast_days(rundays=[2])
forecasts_sublist=TS.get_sublist(forecasts,[2,3,4]) #forecast tuesday and wed,thu

sat_archive="/gss/gss_work/DRES_OGS_BiGe/Observations/TIME_RAW_DATA/ONLINE/SAT/MODIS/DAILY/CHECKED/"
DAILY_SAT_LIST=TS.get_daily_sat(forecasts_sublist,sat_archive)

# float aggregator already done by others
day=0
surf_layer=Layer(0,10)
for time,archived_file,satfile in DAILY_SAT_LIST:
    avefile=INPUTDIR + os.path.basename(archived_file)[:-3]
    day=day+1
    outfile=OUTDIR + "misfit+%dh.nc" % (day*24)
    print avefile
    continue
    Sat16   = Sat.convertinV4format( Sat.readfromfile(satfile) )
    De      = DataExtractor(TheMask,filename=avefile, varname='P_i')
    Model   = MapBuilder.get_layer_average(De, surf_layer)

    Misfit = Sat16-Model

    cloudsLand = (np.isnan(Sat16)) #| (Sat16 > 1.e19) | (Sat16<0)
    modelLand  = np.isnan(Model) #lands are nan
    nodata     = cloudsLand | modelLand
    selection  = ~nodata # & TheMask.mask_at_level(200.0)
    Misfit[nodata] = np.NaN
    
    netcdf3.write_2d_file(Misfit, 'chl_misfit', outfile, TheMask)
    
    
    
コード例 #2
0
ファイル: SatValidation.py プロジェクト: inogs/bit.sea
COASTNESS_LIST=['coast','open_sea','everywhere']
nCOAST = len(COASTNESS_LIST)
dtype = [(coast, np.bool) for coast in COASTNESS_LIST]
COASTNESS = np.ones((jpj,jpi),dtype=dtype)
COASTNESS['coast']     = ~mask200_2D;
COASTNESS['open_sea']  =  mask200_2D;
#COASTNESS['everywhere'] = True;

satfile = glob.glob(REF_DIR+date+"*")[0]
modfile = MODELDIR + "ave." + date + "-12:00:00.nc" 

Model = netcdf3.read_3d_file(modfile, 'P_l')[0,:,:]
try:
    Sat16 = Sat.readfromfile(satfile,'lchlm') # weekly
except:
    Sat16 = Sat.convertinV4format(Sat.readfromfile(satfile, 'CHL'))  # daily

cloudsLand = np.isnan(Sat16)
Sat16[cloudsLand] = -999.0
cloudsLand = Sat16==-999.0; 
modelLand  = Model > 1.0e+19
nodata     = cloudsLand | modelLand



BGC_CLASS4_CHL_RMS_SURF_BASIN      = np.zeros((nSUB,nCOAST),np.float32)
BGC_CLASS4_CHL_BIAS_SURF_BASIN     = np.zeros((nSUB,nCOAST),np.float32)
VALID_POINTS                       = np.zeros((nSUB,nCOAST),np.float32)
MODEL_MEAN                         = np.zeros((nSUB,nCOAST),np.float32)
SAT___MEAN                         = np.zeros((nSUB,nCOAST),np.float32)
BGC_CLASS4_CHL_RMS_SURF_BASIN_LOG  = np.zeros((nSUB,nCOAST),np.float32)