Пример #1
0
                               clvs=VV,
                               utc=False)

        if plot_3D_dte:
            SENS = {
                'ICBC': ensnames,
                'MXMP': experiments,
                'STCH': 0,
                'STCH5': 0,
                'STMX': experiments
            }
            ylimits = [0, 2e8]
            ofname = pfname
            p.plot_error_growth(outdir,
                                pickledir,
                                dataf=pfname,
                                sensitivity=SENS[enstype],
                                ylim=ylimits,
                                f_prefix=enstype)

    if all_3D_dte:
        if case[:4] == '2006':
            EXS = {
                'GEFS-ICBC': {},
                'NAM-MXMP': {},
                'NAM-STMX': {},
                'NAM-STCH5': {},
                'GEFS-STCH': {},
                'NAM-STCH': {}
            }
            IC = 'NAM'
            ensnames = 'anl'
Пример #2
0
if compute:
    p.compute_diff_energy('sum_z',
                          'total',
                          path_to_wrfouts,
                          times,
                          d_save=picklefolder,
                          d_return=0,
                          d_fname=pfname)

if plot_2D:
    # Contour fixed at these values
    V = list(range(250, 5250, 250))
    VV = [
        100,
    ] + V
    ofname = pfname + '_2D'
    for t in times:
        p.plot_diff_energy('sum_z', 'total', t, picklefolder, pfname, outpath,
                           ofname, VV)

if plot_1D:
    ylimits = [0, 2e8]
    ofname = pfname
    p.plot_error_growth(ofname,
                        picklefolder,
                        pfname,
                        sensitivity=sensitivity,
                        ylimits=ylimits)

#print "Script took", time.time()-scriptstart, "seconds."
Пример #3
0
        p.compute_diff_energy('1D','DTE',path_to_wrfouts,dtetimes,
                              d_save=pickledir, d_return=0,d_fname=pfname)

    if plot_1D_dte:
        # Contour fixed at these values
        # V = range(250,5250,250)
        V = range(500,18000,500)
        VV = [250,] + V
        ofname = pfname
        p.plot_diff_energy('1D','DTE',pickledir,outdir,dataf=pfname,outprefix=ofname,clvs=VV,utc=False,cb=True)

    if plot_3D_dte:
        SENS = {'ICBC':ensnames,'MXMP':experiments,'STCH':0,'STCH5':0,'STMX':experiments}
        ylimits = [0,2e8]
        ofname = pfname
        p.plot_error_growth(outdir,pickledir,dataf=pfname,sensitivity=SENS[enstype],ylim=ylimits,f_prefix=enstype)

# if powerspectrum:
    # listofncfiles = 
    # p.plot_diff_power_spectrum('DTE',pickledir,outdir,dataf=pfname,outprefix=ofname,utc=powertime,meanenergy=listofncfiles)

if all_3D_dte:
    if case[:4] == '2006':
        # EXS = {'GEFS-ICBC':{},'NAM-MXMP':{},'NAM-STMX':{},'NAM-STCH5':{},'GEFS-STCH':{},'NAM-STCH':{},'GEFS-MXMP':{}}
        # EXS = {'ICBC (GEFS/R2)':{},'MXMP (NAM)':{},'STMX (NAM)':{},'STCH5 (NAM; WDM6 Grau)':{},'STCH (GEFS/R2 c00)':{},'STCH (NAM; WDM6 Grau)':{},'MXMP (GEFS/R2 c00)':{}}
        # EXS = {'ICBC-Thompson':{},'NAM-MXMP':{},'NAM-STMX':{},'NAM-WDM6Grau-STCH5':{},'c00-Thompson-STCH':{},'NAM-WDM6Grau-STCH':{},'c00-MXMP':{}}
        EXS = collections.OrderedDict([('NAM-MXMP',{}),('NAM-STMX',{}),
                ('ICBC-Thompson',{}),('NAM-WDM6Grau-STCH',{}),
                ('NAM-WDM6Grau-STCH5',{}),('c00-MXMP',{}),('c00-Thompson-STCH',{})])
        IC = 'NAM';ensnames = 'anl'; MP = 'WDM6_Grau'
    else:
Пример #4
0
    outpath = os.path.join(output_root,case,IC,ens)
    sensitivity = MPs
    path_to_wrfouts = []
    for mp in MPs:
        fpath = os.path.join(wrfout_root,case,IC,ens,MP)
        path_to_wrfouts.append(utils.wrfout_files_in(fpath,dom=1)[0])
else:
    print("Typo!")
    raise Exception
    
pfname = 'DTE_' + experiment

if compute:
    p.compute_diff_energy('sum_z','total',path_to_wrfouts,times,
                          d_save=picklefolder, d_return=0,d_fname=pfname)

if plot_2D:
    # Contour fixed at these values
    V = list(range(250,5250,250))
    VV = [100,] + V
    ofname = pfname + '_2D'
    for t in times:
        p.plot_diff_energy('sum_z','total',t,picklefolder,pfname,outpath,ofname,VV)

if plot_1D:
    ylimits = [0,2e8]
    ofname = pfname
    p.plot_error_growth(ofname,picklefolder,pfname,sensitivity=sensitivity,ylimits=ylimits)

#print "Script took", time.time()-scriptstart, "seconds."