vrbl = 'RH'
        xlim = [0, 110, 10]
        # vrbl = 'wind'; xlim=[0,50,5]
        # Save to higher directory
        ml = -2
        out_d = os.path.dirname(out_sd)
        if enstype == 'ICBC':
            out_d = os.path.dirname(out_d)
            ml = -3
        for t in times:
            for ln, ll in locs.items():
                p.twopanel_profile(vrbl,
                                   t,
                                   wrf_sds,
                                   out_d,
                                   two_panel=1,
                                   xlim=xlim,
                                   ylim=[500, 1000, 50],
                                   latlon=ll,
                                   locname=ln,
                                   ml=ml)

    if frontogenesis:
        for en in ensnames:
            for ex in experiments:
                outdir, ncdir = get_folders(en, ex)
                for t in times:
                    lv = 2000
                    p.frontogenesis(
                        t,
                        lv,
                        ncdir=ncdir,
示例#2
0
    # locs = {'KTOP':(39.073,-95.626),'KOAX':(41.320,-96.366),'KOUN':(35.244,-97.471)}
    locs = {'KAMA':(35.2202,-101.7173)}
    lv = 2000
    vrbl = 'RH'; xlim=[0,110,10]
    # vrbl = 'wind'; xlim=[0,50,5]
    # Save to higher directory
    ml = -2
    out_d = os.path.dirname(out_sd) 
    if enstype == 'ICBC':
        out_d = os.path.dirname(out_d)
        ml = -3
    for t in times:
        for ln,ll in locs.iteritems():
            p.twopanel_profile(vrbl,t,wrf_sds,out_d,two_panel=1,
                                xlim=xlim,ylim=[500,1000,50],
                                latlon=ll,locname=ln,ml=ml)


if frontogenesis:
    for en in ensnames:
        for ex in experiments:
            outdir, ncdir = get_folders(en,ex)
            for t in times:
                lv = 2000
                p.frontogenesis(t,lv,ncdir=ncdir,outdir=outdir,
                                clvs=N.arange(-2.0,2.125,0.125)*10**-7,
                                # clvs = N.arange(-500,510,10)
                                smooth=3, cmap='bwr',cb='only'
                                )