| [3823] | 1 | #! /usr/bin/env python |
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| 2 | from netCDF4 import Dataset |
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| 3 | from numpy import * |
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| 4 | import numpy as np |
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| 5 | import matplotlib.pyplot as mpl |
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| 6 | from matplotlib.cm import get_cmap |
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| 7 | import pylab |
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| 8 | from matplotlib import ticker |
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| 9 | import matplotlib.colors as colors |
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| 10 | import datetime |
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| 11 | from mpl_toolkits.basemap import Basemap, shiftgrid |
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| 12 | from FV3_utils import * |
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| 13 | |
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| 14 | ############################ |
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| 15 | fa='sans-serif' |
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| 16 | hfont = {'fontname':'Arial'} |
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| 17 | mpl.rc('font',family=fa) |
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| 18 | mpl.rc('pdf',fonttype=42) |
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| 19 | font=30 |
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| 20 | cc=['k'] |
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| 21 | pal=get_cmap(name="rainbow") |
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| 22 | norm=colors.LogNorm() |
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| 23 | #lvls=np.logspace(-6,-4,21) |
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| 24 | norm=None #colors.LogNorm() |
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| 25 | lvls=np.linspace(37,57,21) |
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| 26 | |
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| 27 | ### Data |
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| 28 | name2=name+'.nc' |
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| 29 | # name=name+'_A.nc' |
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| 30 | name=name+'.nc' |
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| 31 | print("Plot "+name) |
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| 32 | nc1=Dataset(name) |
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| 33 | nc2=Dataset(name2) |
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| 34 | ts=nc2.variables["temperature"][:,0,:,:] |
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| 35 | # ts=nc2.variables["tsurf"][:,:,:] |
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| 36 | u=nc1.variables["u"][:,:,:,:] |
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| 37 | v=nc1.variables["v"][:,:,:,:] |
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| 38 | lat=nc1.variables["lat"][:] |
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| 39 | alt=nc1.variables["altitude"][:] |
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| 40 | lon=nc1.variables["lon"][:] |
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| 41 | ps=nc2.variables["ps"][:,:] |
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| 42 | # ps=nc2.variables["phisinit"][:,:]/0.6169/1000. # altitude km |
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| 43 | |
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| 44 | numalt=getind(1,alt) |
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| 45 | # numalt=getind(1000,alt) |
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| 46 | print('numalt =',numalt,'altitude=',alt[numalt]) |
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| 47 | u=u[:,numalt,:,:] |
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| 48 | v=v[:,numalt,:,:] |
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| 49 | u=np.mean(u,axis=0) |
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| 50 | v=np.mean(v,axis=0) |
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| 51 | ts=np.mean(ts,axis=0) |
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| 52 | ps=np.mean(ps,axis=0) |
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| 53 | |
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| 54 | ts=switchlon(ts) |
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| 55 | u=switchlon(u) |
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| 56 | v=switchlon(v) |
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| 57 | # ps=switchlon(ps) |
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| 58 | # topo=switchlon(topo) |
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| 59 | # lon=lon+180. |
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| 60 | |
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| 61 | ### Figure |
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| 62 | fig=mpl.figure(figsize=(20, 10)) |
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| 63 | # CF=mpl.contourf(lon, lat, ts,lvls,cmap=pal,norm=norm,extend='both') |
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| 64 | # cbar=mpl.colorbar(CF, shrink=1, ticks=lvls[::2]) #,format="%1.0f") |
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| 65 | # cbar.ax.set_title("[K]",y=1.04,fontsize=font) |
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| 66 | # for t in cbar.ax.get_yticklabels(): |
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| 67 | # t.set_fontsize(font) |
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| 68 | # mpl.title('Surface temperatures and winds',fontsize=font) |
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| 69 | |
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| 70 | #vect=lvls |
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| 71 | # CS=mpl.contour(lon,lat,topo,np.linspace(-6,6,21),colors='k',linewidths=0.5) |
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| 72 | #lab=mpl.clabel(CS, inline=1, fontsize=20, fmt='%1.2e',inline_spacing=1) |
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| 73 | #for l in lab: |
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| 74 | # l.set_rotation(0) |
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| 75 | |
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| 76 | CF=mpl.contourf(lon, lat, ps,cmap=pal,norm=norm,extend='both') |
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| 77 | cbar=mpl.colorbar(CF, label="Pa") |
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| 78 | cbar.set_label("Pa", size=font) |
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| 79 | for t in cbar.ax.get_yticklabels(): |
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| 80 | t.set_fontsize(font) |
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| 81 | mpl.title('Surface pressures and winds',fontsize=font) |
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| 82 | |
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| 83 | getwinds(lon,lat,u,v,1,1,100,0.002,5) |
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| 84 | |
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| 85 | mpl.grid() |
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| 86 | mpl.ylabel(r'Latitude',labelpad=10,fontsize=font) |
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| 87 | mpl.xlabel('Longitude',labelpad=10, fontsize=font) |
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| 88 | pylab.ylim([-90,90]) |
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| 89 | yticks=np.linspace(-90,90,13) |
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| 90 | pylab.xlim([0,360]) |
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| 91 | xticks=np.linspace(0,360,7) |
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| 92 | mpl.yticks(yticks,fontsize=font) |
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| 93 | mpl.xticks(xticks,fontsize=font) |
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| 94 | mpl.tight_layout() |
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| 95 | mpl.savefig('mapwinds1km.png',bbox_inches='tight',dpi=70) |
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| 96 | mpl.show() |
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| 97 | |
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| 98 | ####################### |
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| 99 | |
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