def plot_all(): ax1 = fig.add_subplot(231, aspect='equal') plt.pcolormesh(x, y, rwdata, cmap=get_miub_cmap(), vmin=0.1, vmax=50, zorder=2) cb = plt.colorbar(shrink=0.5) cb.set_label("Ref (dbz)", fontsize=ff) #cb.set_label("Rainrate (mm/h)",fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax1) plt.title('RADOLAN Ref: \n' + '20' + str(pfad_radolan[-20:-18]) + '-' + str(pfad_radolan[-18:-16]) + '-' + str(pfad_radolan[-16:-14]) + ' T: ' + str(pfad_radolan[-14:-10]) + '00 UTC', fontsize=ff) #RW Product Polar Stereo plt.xlabel("x [km] ", fontsize=ff) plt.ylabel("y [km] ", fontsize=ff) plt.grid(color='r') plt.xlim(-420, 390) plt.ylim(-4700, -3700) ax2 = fig.add_subplot(232, aspect='equal') pm2 = plt.pcolormesh(gprof_x, gprof_y, np.ma.masked_invalid(gprof_pp[latstart:latend]), cmap=my_cmap, vmin=0.1, vmax=10, zorder=2) cb = plt.colorbar(shrink=0.5) cb.set_label("Rainrate (mm/h)", fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ", fontsize=ff) plt.ylabel("y [km] ", fontsize=ff) plt.title('GPM GPROF Rainrate: \n' + str(pfad_gprof_g[66:70]) + '-' + str(pfad_gprof_g[70:72]) + '-' + str(pfad_gprof_g[72:74]) + ' T: ' + str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC', fontsize=ff) plot_borders(ax2) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') plt.tight_layout() ax2.set_xlim(ax1.get_xlim()) ax2.set_ylim(ax1.get_ylim()) ax37 = fig.add_subplot(233, aspect='equal') plt.pcolormesh(dpr_x, dpr_y, np.ma.masked_invalid(dpr_pp[latstartd:latendd]), cmap=my_cmap, vmin=0.1, vmax=10, zorder=2) cb = plt.colorbar(shrink=0.5) cb.set_label("Rainrate (mm/h)", fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ", fontsize=ff) plt.ylabel("y [km] ", fontsize=ff) plt.title('GPM DPR Rainrate: \n' + str(pfad_gprof_g[66:70]) + '-' + str(pfad_gprof_g[70:72]) + '-' + str(pfad_gprof_g[72:74]) + ' T: ' + str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC', fontsize=ff) plot_borders(ax37) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') ax37.set_xlim(ax1.get_xlim()) ax37.set_ylim(ax1.get_ylim()) ################################## ax29 = fig.add_subplot(234, aspect='equal') #pm2 = plt.pcolormesh(gprof_x, gprof_y,np.ma.masked_invalid(gprof_pp[latstart:latend]), # cmap=my_cmap,vmin=0.1,vmax=10, zorder=2) pm2 = plt.pcolormesh(gprof_x, gprof_y, np.ma.masked_invalid(gprof_snow[latstart:latend]), cmap=get_miub_cmap(), vmin=0, vmax=5, zorder=1) cb = plt.colorbar(shrink=0.5) cb.set_label("SnowCoverIndex ", fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ", fontsize=ff) plt.ylabel("y [km] ", fontsize=ff) plt.title('GPM GPROF SnowCoverIndex: \n' + str(pfad_gprof_g[66:70]) + '-' + str(pfad_gprof_g[70:72]) + '-' + str(pfad_gprof_g[72:74]) + ' T: ' + str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC', fontsize=ff) plot_borders(ax29) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') #plt.tight_layout() ax29.set_xlim(ax1.get_xlim()) ax29.set_ylim(ax1.get_ylim()) from pcc import get_2_cmap ax28 = fig.add_subplot(235, aspect='equal') pm2 = plt.pcolormesh(gprof_x, gprof_y, np.ma.masked_invalid(gprof_l[latstart:latend]), cmap=get_2_cmap(), vmin=0, vmax=1, zorder=1) cb = plt.colorbar(shrink=0.5) cb.set_label("LiquidWaterFraction", fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ", fontsize=ff) plt.ylabel("y [km] ", fontsize=ff) plt.title('GPM GPROF LiquidWaterFraction: \n' + str(pfad_gprof_g[66:70]) + '-' + str(pfad_gprof_g[70:72]) + '-' + str(pfad_gprof_g[72:74]) + ' T: ' + str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC', fontsize=ff) plot_borders(ax28) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') #plt.tight_layout() ax28.set_xlim(ax1.get_xlim()) ax28.set_ylim(ax1.get_ylim())
maske = ~np.isnan(hhh) & ~np.isnan(ppp) #cut1, cut2 = 24, 3254 fig = plt.figure(figsize=(14,12)) #zzz = str(jahr)+'-'+str(monat)+'-'+str(tag)+'--'+str(stunde)+':'+str(minute)+' UTC' #fig.suptitle(zzz + ' UTC') ################### ax1 = fig.add_subplot(221, aspect='auto') #plt.subplot(2,2,1) plt.pcolormesh(dpr_lon, dpr_lat,np.ma.masked_invalid(dpr_pp_surf), vmin=0, vmax=50, cmap=get_miub_cmap()) cbar = plt.colorbar() cbar.set_label('Ref. in dbz') plot_borders(ax1) plot_radar(blon, blat, ax1, reproject=True, cband=False,col='black') plt.plot(dpr_lon[:,0],dpr_lat[:,0], color='black',lw=1) plt.plot(dpr_lon[:,-1],dpr_lat[:,-1], color='black',lw=1) plt.plot(dpr_lon[:,dpr_lon.shape[1]/2],dpr_lat[:,dpr_lon.shape[1]/2], color='black',lw=1, ls='--') plt.plot(dpr_lon[:,cut1],dpr_lat[:,cut1], color='red',lw=2,ls='--') plt.plot(dpr_lon[cut2,:],dpr_lat[cut2,:], color='green',lw=2,ls='--') ax1 = plt.scatter(bonnlon, bonnlat, c=50 ,s=50, color='red') plt.grid() plt.xlim(-350,-100) plt.ylim( -4350,-4100)
#ax3 = plt.subplot(3,3,jj+1) plot_all() ax35 = plt.subplot(236, aspect='equal') TT = T_pp[:, :, jj][latstart:latend] plt.pcolormesh( T_x, T_y, np.ma.masked_invalid(TT), cmap='jet', #,vmin = mini, vmax = maxi) vmin=np.nanpercentile(TT, qmin), vmax=np.nanpercentile(TT, qmax)) cb = plt.colorbar(shrink=0.5) cb.set_label("Tb (K)", fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax35) plt.xlabel("x [km] ", fontsize=ff) plt.ylabel("y [km] ", fontsize=ff) plt.xlim(-420, 390) plt.ylim(-4700, -3700) plt.title(str(S1[jj])) plt.tight_layout() plt.savefig("/home/velibor/shkgpm/plot/T/Tb_" + str(jj)[0:5] + ".png") plt.close() #plt.show() for jj in range(4): ff = 15 fig = plt.figure(figsize=(20, 20)) plot_all() ax34 = plt.subplot(236, aspect='equal')
#####____________________AX1____________________##### ax2 = fig.add_subplot(232, aspect='auto') pm2 = plt.pcolormesh(gpm_x, gpm_y,np.ma.masked_invalid(gprof_pp_b), cmap=my_cmap2, vmin=PV_vmin[ip], vmax=PV_vmax[ip], zorder=2) plt.plot(gpm_x[:,cut],gpm_y[:,cut], color='red',lw=1) cb = plt.colorbar(shrink=0.8,extend='max') cb.set_label(PV_name[ip],fontsize=fft) cb.ax.tick_params(labelsize=fft) #plt.xlabel("x [km] ",fontsize=0) #plt.ylabel("y [km] ",fontsize=0) plt.title('GPM DPR: '+ gpm_time ,fontsize=fft) plot_borders(ax2) plot_radar(boxlon, boxlat, ax2, reproject=True) plt.grid(color='r') plt.tight_layout() plt.xlim(-420,390) plt.ylim(-4700, -3700) #plt.xticks(fontsize=0) #plt.yticks(fontsize=0) plt.tick_params( axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off',
pm1 = plt.pcolormesh(x, y, rwdata, cmap=my_cmap, vmin=0.01, vmax=50, zorder=2) plt.plot(gpm_x[:, 0], gpm_y[:, 0], color='black', lw=1) plt.plot(gpm_x[:, -1], gpm_y[:, -1], color='black', lw=1) cb = plt.colorbar(shrink=cc) cb.set_label("Reflectivity [dBZ]", fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax1) plot_radar(bonnlon, bonnlat, ax1, reproject=True, cband=False, col='black') plt.title('RADOLAN Reflectivity : \n' + radolan_zeit + ' UTC', fontsize=ff) plt.grid(color='r') plt.tick_params(axis='both', which='both', bottom='off', top='off', labelbottom='off',
for jj in range(9): ff = 15 fig = plt.figure(figsize=(20,20)) #ax3 = plt.subplot(3,3,jj+1) plot_all() ax35 = plt.subplot(236, aspect='equal') TT = T_pp[:,:,jj][latstart:latend] plt.pcolormesh(T_x, T_y, np.ma.masked_invalid(TT), cmap='jet',#,vmin = mini, vmax = maxi) vmin=np.nanpercentile(TT,qmin), vmax=np.nanpercentile(TT,qmax)) cb = plt.colorbar(shrink=0.5) cb.set_label("Tb (K)",fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax35) plt.xlabel("x [km] ",fontsize=ff) plt.ylabel("y [km] ",fontsize=ff) plt.xlim(-420,390) plt.ylim(-4700, -3700) plt.title(str(S1[jj])) plt.tight_layout() plt.savefig("/home/velibor/shkgpm/plot/T/Tb_"+ str(jj)[0:5] +".png") plt.close() #plt.show() for jj in range(4): ff = 15
# Radarausschnitt dpr_pp_surf[np.where(r > radius)]=np.nan fig = plt.figure(figsize=(12,10)) zzz = str(jahr)+'-'+str(monat)+'-'+str(tag)+'--'+str(stunde)+':'+str(minute)+' UTC' fig.suptitle(zzz + ' UTC') ################### ax1 = fig.add_subplot(221, aspect='auto') #plt.subplot(2,2,1) plt.pcolormesh(dpr_lon, dpr_lat,np.ma.masked_invalid(dpr_pp_surf), vmin=np.nanmin(pp_surf), vmax=np.nanmax(pp_surf), cmap=get_miub_cmap()) cbar = plt.colorbar() cbar.set_label('Ref. in dbz') plot_borders(ax1) plot_radar(bonnlon, bonnlat, ax1, reproject=False, cband=False,col='black') #ax1 = plt.scatter(lon_ppi, lat_ppi, c=50 ,s=50, color='red') plt.scatter(k1,l1, c=50 ,s=50, color='red') plt.scatter(k2,l1, c=50 ,s=50, color='red') plt.scatter(k1,l2, c=50 ,s=50, color='red') plt.scatter(k2,l2, c=50 ,s=50, color='red') plt.grid() plt.xlim(-420,390) plt.ylim(-4700, -3700) ################## ax2 = fig.add_subplot(222, aspect='auto')
fig = plt.figure(figsize=(14, 12)) #zzz = str(jahr)+'-'+str(monat)+'-'+str(tag)+'--'+str(stunde)+':'+str(minute)+' UTC' #fig.suptitle(zzz + ' UTC') ################### ax1 = fig.add_subplot(221, aspect='auto') #plt.subplot(2,2,1) plt.pcolormesh(dpr_lon, dpr_lat, np.ma.masked_invalid(dpr_pp_surf), vmin=0, vmax=50, cmap=get_miub_cmap()) cbar = plt.colorbar() cbar.set_label('Ref. in dbz') plot_borders(ax1) plot_radar(blon, blat, ax1, reproject=True, cband=False, col='black') plt.plot(dpr_lon[:, 0], dpr_lat[:, 0], color='black', lw=1) plt.plot(dpr_lon[:, -1], dpr_lat[:, -1], color='black', lw=1) plt.plot(dpr_lon[:, dpr_lon.shape[1] / 2], dpr_lat[:, dpr_lon.shape[1] / 2], color='black', lw=1, ls='--') plt.plot(dpr_lon[:, cut1], dpr_lat[:, cut1], color='red', lw=2, ls='--') plt.plot(dpr_lon[cut2, :], dpr_lat[cut2, :], color='green', lw=2, ls='--') ax1 = plt.scatter(bonnlon, bonnlat, c=50, s=50, color='red') plt.grid() plt.xlim(-350, -100)
cc = 0.5 fig = plt.figure(figsize=(16,16)) ax2 = fig.add_subplot(331, aspect='equal')#------------------------------------ pm2 = plt.pcolormesh(gpm_x, gpm_y,np.ma.masked_invalid(rrr_lin), cmap=my_cmap, vmin=0.01, vmax=50,zorder=2) plt.plot(gpm_x[:,0],gpm_y[:,0], color='black',lw=1) plt.plot(gpm_x[:,-1],gpm_y[:,-1], color='black',lw=1) cb = plt.colorbar(shrink=cc) cb.set_label("Reflectivity [dBZ]",fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.title('RADOLAN Interpoliert Linear: \n'+ radolan_zeit + ' UTC',fontsize=ff) #RW Product Polar Stereo plot_borders(ax2) plot_radar(bonnlon, bonnlat, ax2, reproject=True) plt.grid(color='r') plt.tick_params( axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') plt.xlim(-420,390) plt.ylim(-4700, -3700)
ax1 = fig.add_subplot(2,3,1, aspect='equal') pm1 = plt.pcolormesh(sf_ku_x, sf_ku_y,np.ma.masked_invalid(sf_ku_z), cmap=my_cmap2, vmin=0, vmax=50 ) plt.plot(ka_x[:,0],ka_y[:,0], color='gray',lw=1) plt.plot(ka_x[:,-1],ka_y[:,-1], color='gray',lw=1) plt.plot(ku_x[:,0],ku_y[:,0], color='gray',lw=1) plt.plot(ku_x[:,-1],ku_y[:,-1], color='gray',lw=1) cb = plt.colorbar(shrink=0.5,extend='max') cb.set_label(cbname,fontsize=fft) cb.ax.tick_params(labelsize=fft) plt.title('GPM SF NS: \n'+ gpm_time ,fontsize=fft) plot_borders(ax1) plot_radar(boxlon, boxlat, ax1, reproject=True) plt.grid(color='r') plt.tight_layout() plt.xlim(-420,390) plt.ylim(-4700, -3700) plt.tick_params( axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') #plt.ylim(-4400,-4100)
ku_y, np.ma.masked_invalid(ku_pp), cmap=my_cmap, vmin=0.1, vmax=10) plt.plot(ka_x[:, 0], ka_y[:, 0], color='red', lw=1) plt.plot(ka_x[:, -1], ka_y[:, -1], color='red', lw=1) plt.plot(kaku_x[:, 0], kaku_y[:, 0], color='red', lw=1) plt.plot(kaku_x[:, -1], kaku_y[:, -1], color='red', lw=1) cb = plt.colorbar(shrink=0.5, extend='max') cb.set_label(cbname, fontsize=fft) cb.ax.tick_params(labelsize=fft) plt.title('GPM DPR Ku: \n' + gpm_time, fontsize=fft) plot_borders(ax1) plot_radar(boxlon, boxlat, ax1, reproject=True) plt.grid(color='r') plt.tight_layout() plt.xlim(-420, 390) plt.ylim(-4700, -3700) plt.tick_params(axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') #plt.ylim(-4400,-4100) #plt.xlim(-350,-80)
from pcc import get_my_cmap import pcc from scipy import stats, linspace ff = 15 cc = 0.5 fig = plt.figure(figsize=(12,12)) ax1 = fig.add_subplot(221, aspect='equal')#------------------------------------ pm1 = plt.pcolormesh(x, y, z, cmap=get_my_cmap(), vmin=0.01, vmax=50, zorder=2) cb = plt.colorbar(shrink=cc) cb.set_label("Reflectivity [dBZ]",fontsize=ff) cb.ax.tick_params(labelsize=ff) pcc.plot_borders(ax1) plt.title('RADOLAN Reflectivity:\n '+ t1+' UTC',fontsize=ff) plt.grid(color='r') plt.tick_params( axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') plt.xlim(-400,450) plt.ylim(-4700, -3700)
pm2 = plt.pcolormesh(gpm_x, gpm_y, np.ma.masked_invalid(rrr_lin), cmap=my_cmap, vmin=0.01, vmax=50, zorder=2) plt.plot(gpm_x[:, 0], gpm_y[:, 0], color='black', lw=1) plt.plot(gpm_x[:, -1], gpm_y[:, -1], color='black', lw=1) cb = plt.colorbar(shrink=cc) cb.set_label("Reflectivity [dBZ]", fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.title('RADOLAN Interpoliert Linear: \n' + radolan_zeit + ' UTC', fontsize=ff) #RW Product Polar Stereo plot_borders(ax2) plot_radar(bonnlon, bonnlat, ax2, reproject=True) plt.grid(color='r') plt.tick_params(axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') plt.xlim(-420, 390) plt.ylim(-4700, -3700) ax3 = fig.add_subplot(332, aspect='equal') #------------------------------------
def gpm_bb(dates, pn=0): zt = dates pfad = ('/automount/ags/velibor/gpmdata/dpr/2A.GPM.DPR.V6-20160118.' + zt + '*.HDF5') dpr_pfad = sorted(glob.glob(pfad))[pn] print dpr_pfad scan = 'NS' #or MS # Einlesen dpr = h5py.File(dpr_pfad, 'r') dpr_lat = np.array(dpr[scan]['Latitude']) dpr_lon = np.array(dpr[scan]['Longitude']) dpr_pp = np.array(dpr[scan]['SLV']['zFactorCorrected']) dpr_pp[dpr_pp < 0] = np.nan dpr_pp_surf = np.array(dpr[scan]['SLV']['zFactorCorrectedNearSurface']) dpr_pp_surf[dpr_pp_surf < 0] = np.nan dpr_bbh = np.array(dpr[scan]['CSF']['heightBB'], dtype=float) dpr_bbh[dpr_bbh < 0] = np.nan dpr_bbw = np.array(dpr[scan]['CSF']['widthBB'], dtype=float) dpr_bbw[dpr_bbw < 0] = np.nan dpr_time = dpr['NS']['ScanTime'] proj_stereo = wrl.georef.create_osr("dwd-radolan") proj_wgs = osr.SpatialReference() proj_wgs.ImportFromEPSG(4326) from pcc import boxpol_pos bonn_pos = boxpol_pos() bx, by = bonn_pos['gkx_ppi'], bonn_pos['gky_ppi'] bonnlat, bonnlon = bonn_pos['lat_ppi'], bonn_pos['lon_ppi'] blat, blon = bonn_pos['lat_ppi'], bonn_pos['lon_ppi'] dpr_lon, dpr_lat = wradlib.georef.reproject(dpr_lon, dpr_lat, projection_target=proj_stereo, projection_source=proj_wgs) bonnlon, bonnlat = wradlib.georef.reproject(bonnlon, bonnlat, projection_target=proj_stereo, projection_source=proj_wgs) print '-------->', bonnlon, bonnlat lon0, lat0, radius = bonnlon, bonnlat, 100 r = np.sqrt((dpr_lat - lat0)**2 + (dpr_lon - lon0)**2) position = r < radius lat = dpr_lat[position] lon = dpr_lon[position] dpr_pp[np.where(r > radius)] = np.nan pp = dpr_pp dpr_pp_surf[np.where(r > radius)] = np.nan dpr_bbw[np.where(r > radius)] = np.nan dpr_bbh[np.where(r > radius)] = np.nan # Zeitstempel erstellen l2, l1 = -190, -250 k2, k1 = -4210, -4270 # BoxPol #l2, l1 = -110, -320 #k2, k1 = -4130, -4340 # pos = np.where((dpr_lat < k2) & (dpr_lat > k1) & (dpr_lon < l2) & (dpr_lon > l1)) stunde = np.array(dpr_time['Hour'])[pos[0]][0] minute = np.array(dpr_time['Minute'])[pos[0]][0] sekunde = np.array(dpr_time['Second'])[pos[0]][0] jahr = np.array(dpr_time['Year'])[pos[0]][0] monat = np.array(dpr_time['Month'])[pos[0]][0] tag = np.array(dpr_time['DayOfMonth'])[pos[0]][0] zeit = (str(jahr) + '.' + str(monat) + '.' + str(tag) + ' -- ' + str(stunde) + ':' + str(minute) + ':' + str(sekunde)) print zeit h = np.arange(150, 4800, 150) if scan == 'HS': hdpr = 1000 * (np.arange(88, 0, -1) * 0.250) else: hdpr = 1000 * (np.arange(176, 0, -1) * 0.125) hhh = np.array(pp.shape[0] * pp.shape[1] * list(hdpr)) ppp = pp.reshape(pp.shape[0] * pp.shape[1] * pp.shape[2]) maske = ~np.isnan(hhh) & ~np.isnan(ppp) fig = plt.figure(figsize=(14, 12)) zzz = str(jahr) + '-' + str(monat) + '-' + str(tag) + '--' + str( stunde) + ':' + str(minute) + ' UTC' fig.suptitle(zzz + ' UTC') ################### ax1 = fig.add_subplot(221, aspect='auto') #plt.subplot(2,2,1) plt.pcolormesh(dpr_lon, dpr_lat, np.ma.masked_invalid(dpr_pp_surf), vmin=np.nanmin(dpr_pp_surf), vmax=np.nanmax(dpr_pp_surf), cmap=get_miub_cmap()) cbar = plt.colorbar() cbar.set_label('Ref. in dbz') plot_borders(ax1) plot_radar(blon, blat, ax1, reproject=True, cband=False, col='black') plt.plot(dpr_lon[:, 0], dpr_lat[:, 0], color='black', lw=1) plt.plot(dpr_lon[:, -1], dpr_lat[:, -1], color='black', lw=1) plt.plot(dpr_lon[:, dpr_lon.shape[1] / 2], dpr_lat[:, dpr_lon.shape[1] / 2], color='black', lw=1, ls='--') ax1 = plt.scatter(bonnlon, bonnlat, c=50, s=50, color='red') plt.grid() plt.xlim(-420, 390) plt.ylim(-4700, -3700) ################## ax2 = fig.add_subplot(222, aspect='auto') plt.hist2d(ppp[maske], hhh[maske], bins=30, cmap=get_my_cmap(), vmin=0.1) print pp.shape #plt.plot(np.nanmax(pp[:,:],axis=0),hdpr, color='red', lw=2) plt.plot(np.nanmean(pp[:, :, :], axis=(0, 1)), hdpr, color='red', lw=2) plt.plot(np.nanmedian(pp[:, :, :], axis=(0, 1)), hdpr, color='green', lw=2) cbar = plt.colorbar() cbar.set_label('#') plt.title('DPR Ref. in Box') plt.xlabel('Reflectivity in dBZ') plt.grid() plt.xticks() plt.yticks() #plt.ylim(0,6000) #plt.xlim(0,50) ################## #print np.uniforn(bbh) #mini = np.nanmin(bbh[bbh>0]) ax3 = fig.add_subplot(223, aspect='auto') plt.pcolormesh(dpr_lon, dpr_lat, np.ma.masked_invalid(dpr_bbh), vmin=np.nanmin(dpr_bbh[dpr_bbh > 0]), vmax=np.nanmax(dpr_bbh), cmap='jet') cbar = plt.colorbar() cbar.set_label('BB Hight in m') plot_borders(ax3) plot_radar(blon, blat, ax3, reproject=True, cband=False, col='black') plt.plot(dpr_lon[:, 0], dpr_lat[:, 0], color='black', lw=1) plt.plot(dpr_lon[:, -1], dpr_lat[:, -1], color='black', lw=1) plt.plot(dpr_lon[:, dpr_lon.shape[1] / 2], dpr_lat[:, dpr_lon.shape[1] / 2], color='black', lw=1, ls='--') ax1 = plt.scatter(bonnlon, bonnlat, c=50, s=50, color='red') plt.grid() #plt.title('BB Hight') plt.xlim(-420, 390) plt.ylim(-4700, -3700) ################## ax4 = fig.add_subplot(224, aspect='auto') plt.pcolormesh(dpr_lon, dpr_lat, np.ma.masked_invalid(dpr_bbw), vmin=np.nanmin(dpr_bbw[dpr_bbh > 0]), vmax=np.nanmax(dpr_bbw), cmap='jet') cbar = plt.colorbar() cbar.set_label('BB Width in m') plot_borders(ax4) plot_radar(blon, blat, ax4, reproject=True, cband=False, col='black') plt.plot(dpr_lon[:, 0], dpr_lat[:, 0], color='black', lw=1) plt.plot(dpr_lon[:, -1], dpr_lat[:, -1], color='black', lw=1) plt.plot(dpr_lon[:, dpr_lon.shape[1] / 2], dpr_lat[:, dpr_lon.shape[1] / 2], color='black', lw=1, ls='--') ax1 = plt.scatter(bonnlon, bonnlat, c=50, s=50, color='red') plt.grid() #plt.title('BB Width') plt.xlim(-420, 390) plt.ylim(-4700, -3700) plt.tight_layout() plt.show()
cc = 1.0 fig = plt.figure(figsize=(10, 10)) ax1 = fig.add_subplot(221, aspect='equal')#------------------------------------ #ax1, pm1 = wradlib.vis.plot_ppi(R,r,az,vmin=0.01,vmax=50, cmap=my_cmap()) pm1 = plt.pcolormesh(box_x, box_y, R, vmin=0, vmax=50, cmap=my_cmap()) #cb = plt.colorbar(pm1,shrink=cc) #cb.set_label("Reflectivity (dBZ)",fontsize=ff) #cb.ax.tick_params(labelsize=ff) plt.plot(gpm_x[:,0], gpm_y[:,0], color='black') plt.plot(gpm_x[:,-1], gpm_y[:,-1], color='black') plt.plot(gpm_x[:,23], gpm_y[:,23], color='black', ls='--') from pcc import plot_borders plot_borders(ax1) plot_radar(bblon, bblat, ax1, reproject=True, cband=False,col='black') plt.tick_params( axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') #plt.title('BoXPol Reflectivity:\n 2014-10-07--02:37:44',fontsize=ff) plt.grid(color='r')
ff = 15 cc = 0.5 fig = plt.figure(figsize=(14, 10)) plt.suptitle('Problem: Changing RADOLAN observation section', fontsize=ff) ax1 = fig.add_subplot(131, aspect='equal') plt.pcolormesh(x, y, rn * 0.2, cmap=my_cmap, vmin=0, vmax=1, zorder=2) pm1 = plt.pcolormesh(x, y, rwdata, cmap=my_cmap, vmin=0.01, vmax=50, zorder=2) plt.plot(gpm_x[:, 0], gpm_y[:, 0], color='black', lw=1) plt.plot(gpm_x[:, -1], gpm_y[:, -1], color='black', lw=1) #plt.scatter(x, y, rwdata, cmap=my_cmap,vmin=0.1,vmax=10, zorder=2) cb = plt.colorbar(shrink=cc) cb.set_label("Ref [dbZ]", fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax1) plot_radar(bonnlon, bonnlat, ax1, reproject=True) plt.title('RADOLAN Ref: \n' + '20' + str(pfad_radolan[-20:-18]) + '-' + str(pfad_radolan[-18:-16]) + '-' + str(pfad_radolan[-16:-14]) + ' T: ' + str(pfad_radolan[-14:-10]) + '00 UTC', fontsize=ff) #plt.xlabel("x [km] ",fontsize=ff) #plt.ylabel("y [km] ",fontsize=ff) #plt.xticks(fontsize=0) #plt.yticks(fontsize=0) plt.grid(color='r') #plt.xlim(-1000, 850) #plt.ylim(-5500, -3000) plt.tick_params(axis='both',
pm2 = plt.pcolormesh(gpm_x, gpm_y, np.ma.masked_invalid(gprof_pp_b), cmap=my_cmap, vmin=np.nanmin(gprof_pp_b), vmax=np.nanmax(gprof_pp_b), zorder=2) plt.plot(gpm_x[:, 0], gpm_y[:, 0], color='black', lw=1) plt.plot(gpm_x[:, -1], gpm_y[:, -1], color='black', lw=1) cb = plt.colorbar(shrink=cc) cb.set_label(str(gpm_para[iii]), fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.title('GPM DPR Reflectivity: \n' + gpm_zeit + ' UTC', fontsize=ff) plot_borders(ax2) plot_radar(bonnlon, bonnlat, ax2, reproject=True) plt.grid(color='r') plt.tick_params(axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') plt.xlim(-420, 390) plt.ylim(-4700, -3700) plt.tight_layout() #plt.savefig('/home/velibor/shkgpm/plot/test_dpr_radolan_'+ZP + '.png' )
proj_stereo = wrl.georef.create_osr("dwd-radolan") proj_wgs = osr.SpatialReference() proj_wgs.ImportFromEPSG(4326) gpm_x, gpm_y = wradlib.georef.reproject(blon, blat, projection_target=proj_stereo , projection_source=proj_wgs) grid_xy = np.vstack((gpm_x.ravel(), gpm_y.ravel())).transpose() from pcc import plot_borders #ax = fig.add_subplot(int('33'+str(i+1)), aspect='equal') plt.pcolormesh(gpm_x,gpm_y, (bpp), cmap=plt.cm.gist_earth, norm=LogNorm(), vmin=1, vmax=3000) plot_borders(ax) plt.xlim(-600,400) plt.ylim(-4800,-3600) #plt.title(str(a[i])) cb = plt.colorbar() cb.set_label('binRealSurface [m]') plt.grid() from pcc import plot_dem ax2 = fig.add_subplot(122, aspect='equal') #plt.plot(gpm_x[:,0], gpm_y[:,0]) #plt.plot(gpm_x[:,-1], gpm_y[:,-1]) plot_dem(ax2) plt.title('DEM Height')
def plot_all(): ax1 = fig.add_subplot(231, aspect='equal') plt.pcolormesh(x, y, rwdata, cmap=get_miub_cmap(), vmin=0.1,vmax=50, zorder=2) cb = plt.colorbar(shrink=0.5) cb.set_label("Ref (dbz)",fontsize=ff) #cb.set_label("Rainrate (mm/h)",fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax1) plt.title('RADOLAN Ref: \n'+'20' + str(pfad_radolan[-20:-18])+'-'+str(pfad_radolan[-18:-16])+'-'+str(pfad_radolan[-16:-14])+ ' T: '+str(pfad_radolan[-14:-10]) + '00 UTC',fontsize=ff) #RW Product Polar Stereo plt.xlabel("x [km] ",fontsize=ff) plt.ylabel("y [km] ",fontsize=ff) plt.grid(color='r') plt.xlim(-420,390) plt.ylim(-4700, -3700) ax2 = fig.add_subplot(232, aspect='equal') pm2 = plt.pcolormesh(gprof_x, gprof_y,np.ma.masked_invalid(gprof_pp[latstart:latend]), cmap=my_cmap,vmin=0.1,vmax=10, zorder=2) cb = plt.colorbar(shrink=0.5) cb.set_label("Rainrate (mm/h)",fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ",fontsize=ff) plt.ylabel("y [km] ",fontsize=ff) plt.title('GPM GPROF Rainrate: \n' + str(pfad_gprof_g[66:70]) + '-' +str(pfad_gprof_g[70:72])+ '-' + str(pfad_gprof_g[72:74]) + ' T: ' +str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC',fontsize=ff) plot_borders(ax2) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') plt.tight_layout() ax2.set_xlim(ax1.get_xlim()) ax2.set_ylim(ax1.get_ylim()) ax37 = fig.add_subplot(233, aspect='equal') plt.pcolormesh(dpr_x, dpr_y,np.ma.masked_invalid(dpr_pp[latstartd:latendd]), cmap=my_cmap,vmin=0.1,vmax=10, zorder=2) cb = plt.colorbar(shrink=0.5) cb.set_label("Rainrate (mm/h)",fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ",fontsize=ff) plt.ylabel("y [km] ",fontsize=ff) plt.title('GPM DPR Rainrate: \n' + str(pfad_gprof_g[66:70]) + '-' +str(pfad_gprof_g[70:72])+ '-' + str(pfad_gprof_g[72:74]) + ' T: ' +str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC',fontsize=ff) plot_borders(ax37) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') ax37.set_xlim(ax1.get_xlim()) ax37.set_ylim(ax1.get_ylim()) ################################## ax29 = fig.add_subplot(234, aspect='equal') #pm2 = plt.pcolormesh(gprof_x, gprof_y,np.ma.masked_invalid(gprof_pp[latstart:latend]), # cmap=my_cmap,vmin=0.1,vmax=10, zorder=2) pm2 = plt.pcolormesh(gprof_x, gprof_y,np.ma.masked_invalid(gprof_snow[latstart:latend]), cmap=get_miub_cmap(),vmin=0,vmax=5, zorder=1) cb = plt.colorbar(shrink=0.5) cb.set_label("SnowCoverIndex ",fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ",fontsize=ff) plt.ylabel("y [km] ",fontsize=ff) plt.title('GPM GPROF SnowCoverIndex: \n' + str(pfad_gprof_g[66:70]) + '-' +str(pfad_gprof_g[70:72])+ '-' + str(pfad_gprof_g[72:74]) + ' T: ' +str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC',fontsize=ff) plot_borders(ax29) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') #plt.tight_layout() ax29.set_xlim(ax1.get_xlim()) ax29.set_ylim(ax1.get_ylim()) from pcc import get_2_cmap ax28 = fig.add_subplot(235, aspect='equal') pm2 = plt.pcolormesh(gprof_x, gprof_y,np.ma.masked_invalid(gprof_l[latstart:latend]), cmap=get_2_cmap(),vmin=0,vmax=1, zorder=1) cb = plt.colorbar(shrink=0.5) cb.set_label("LiquidWaterFraction",fontsize=ff) cb.ax.tick_params(labelsize=ff) plt.xlabel("x [km] ",fontsize=ff) plt.ylabel("y [km] ",fontsize=ff) plt.title('GPM GPROF LiquidWaterFraction: \n' + str(pfad_gprof_g[66:70]) + '-' +str(pfad_gprof_g[70:72])+ '-' + str(pfad_gprof_g[72:74]) + ' T: ' +str(pfad_gprof_g[76:82]) + '-' + str(pfad_gprof_g[84:90]) + ' UTC',fontsize=ff) plot_borders(ax28) plt.xticks(fontsize=ff) plt.yticks(fontsize=ff) plt.grid(color='r') #plt.tight_layout() ax28.set_xlim(ax1.get_xlim()) ax28.set_ylim(ax1.get_ylim())
#rrr, ggg = ggg, rrr ff = 15 cc = 0.5 fig = plt.figure(figsize=(12,12)) ax1 = fig.add_subplot(221, aspect='equal')#------------------------------------ pm1 = plt.pcolormesh(x, y, rwdata, cmap=my_cmap, vmin=0.01, vmax=50, zorder=2) plt.plot(gpm_x[:,0],gpm_y[:,0], color='black',lw=1) plt.plot(gpm_x[:,-1],gpm_y[:,-1], color='black',lw=1) cb = plt.colorbar(shrink=cc) cb.set_label("Reflectivity [dBZ]",fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax1) print bonnlat, bonnlon plot_radar(bonnlon, bonnlat, ax1, reproject=True, cband=False,col='black') plt.title('RADOLAN Reflectivity: \n'+ radolan_zeit + ' UTC',fontsize=ff) plt.grid(color='r') plt.tick_params( axis='both', which='both', bottom='off', top='off', labelbottom='off', right='off', left='off', labelleft='off') plt.xlim(-420,390)
fig = plt.figure(figsize=(14, 12)) #zzz = str(jahr)+'-'+str(monat)+'-'+str(tag)+'--'+str(stunde)+':'+str(minute)+' UTC' #fig.suptitle(zzz + ' UTC') ################### ax1 = fig.add_subplot(221, aspect='auto') #plt.subplot(2,2,1) plt.pcolormesh(dpr_lon, dpr_lat, np.ma.masked_invalid(dpr_pp_surf), vmin=np.nanmin(dpr_pp_surf), vmax=np.nanmax(dpr_pp_surf), cmap=get_miub_cmap()) cbar = plt.colorbar() cbar.set_label('Ref. in dbz') plot_borders(ax1) plot_radar(blon, blat, ax1, reproject=True, cband=False, col='black') plt.plot(dpr_lon[:, 0], dpr_lat[:, 0], color='black', lw=1) plt.plot(dpr_lon[:, -1], dpr_lat[:, -1], color='black', lw=1) plt.plot(dpr_lon[:, dpr_lon.shape[1] / 2], dpr_lat[:, dpr_lon.shape[1] / 2], color='black', lw=1, ls='--') ax1 = plt.scatter(bonnlon, bonnlat, c=50, s=50, color='red') plt.grid() plt.xlim(-420, 390) plt.ylim(-4700, -3700)
plt.suptitle('Problem: Changing RADOLAN observation section', fontsize=ff) ax1 = fig.add_subplot(131, aspect='equal') plt.pcolormesh(x, y,rn*0.2, cmap=my_cmap, vmin=0, vmax=1,zorder=2) pm1 = plt.pcolormesh(x, y, rwdata, cmap=my_cmap, vmin=0.01, vmax=50, zorder=2) plt.plot(gpm_x[:,0],gpm_y[:,0], color='black',lw=1) plt.plot(gpm_x[:,-1],gpm_y[:,-1], color='black',lw=1) #plt.scatter(x, y, rwdata, cmap=my_cmap,vmin=0.1,vmax=10, zorder=2) cb = plt.colorbar(shrink=cc) cb.set_label("Ref [dbZ]",fontsize=ff) cb.ax.tick_params(labelsize=ff) plot_borders(ax1) plot_radar(bonnlon, bonnlat, ax1, reproject=True) plt.title('RADOLAN Ref: \n'+'20' + str(pfad_radolan[-20:-18])+'-'+str(pfad_radolan[-18:-16])+'-'+str(pfad_radolan[-16:-14])+ ' T: '+str(pfad_radolan[-14:-10]) + '00 UTC',fontsize=ff) #plt.xlabel("x [km] ",fontsize=ff) #plt.ylabel("y [km] ",fontsize=ff) #plt.xticks(fontsize=0) #plt.yticks(fontsize=0) plt.grid(color='r') #plt.xlim(-1000, 850) #plt.ylim(-5500, -3000) plt.tick_params( axis='both', which='both',