#!/usr/bin/env python ### A. Spiga -- LMD -- 30/05/2011 ### Thanks to A. Colaitis for the parser trick #################################### #################################### ### The main program to plot vectors def winds (namefile,\ nvert,\ proj=None,\ back=None,\ target=None, stride=3,\ numplot=4,\ var=None,\ colorb=None): ################################# ### Load librairies and functions from netCDF4 import Dataset from myplot import getcoord2d,define_proj,makeplotpng,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy from matplotlib.pyplot import contourf, subplot, figure, rcParams, savefig, colorbar import numpy as np ###################### ### Load NETCDF object nc = Dataset(namefile) ################################### ### Recognize predefined file types if 'controle' in nc.variables: typefile = 'gcm' elif 'Um' in nc.variables: typefile = 'mesoapi' elif 'U' in nc.variables: typefile = 'meso' else: print "typefile not supported." exit() ############################################################## ### Try to guess the projection from wrfout if not set by user if typefile in ['mesoapi','meso']: if proj == None: proj = getproj(nc) ### (il faudrait passer CEN_LON dans la projection ?) elif typefile in ['gcm']: if proj == None: proj = "cyl" ## pb avec les autres (de trace derriere la sphere ?) ############################################ #### Choose underlying topography by default if not back: if not var: back = "mola" ## if no var: draw mola elif typefile in ['mesoapi','meso'] \ and proj not in ['merc','lcc']: back = "molabw" ## if var but meso: draw molabw else: pass ## else: draw None #################################################### ### Get geographical coordinates and plot boundaries if typefile in ['mesoapi','meso']: [lon2d,lat2d] = getcoord2d(nc) lon2d = dumpbdy(lon2d) lat2d = dumpbdy(lat2d) elif typefile in ['gcm']: [lon2d,lat2d] = getcoord2d(nc,nlat="latitude",nlon="longitude",is1d=True) if proj == "npstere": [wlon,wlat] = latinterv("North_Pole") elif proj == "lcc": [wlon,wlat] = wrfinterv(lon2d,lat2d) else: [wlon,wlat] = simplinterv(lon2d,lat2d) ################## ### Get local time if typefile in ['mesoapi','meso']: ltst = int(getattr(nc, 'GMT') + 0.5*(wlon[0]+wlon[1])/15.) elif typefile in ['gcm']: ltst = 0 ############################################################################## ### Get winds and know if those are meteorological winds (ie. zon, mer) or not if typefile is 'mesoapi': [u,v] = getwinds(nc) metwind = True ## meteorological (zon/mer) elif typefile is 'gcm': [u,v] = getwinds(nc,charu='u',charv='v') metwind = True ## meteorological (zon/mer) elif typefile is 'meso': [u,v] = getwinds(nc,charu='U',charv='V') metwind = False ## geometrical (wrt grid) print "Beware ! Not using meteorological winds. You trust numerical grid as being (x,y)." #################################################### ### Load the chosen variables, whether it is 2D or 3D if var: if var not in nc.variables: print "not found in file:",var exit() else: dimension = np.array(nc.variables[var]).ndim if dimension == 2: field = nc.variables[var][:,:] elif dimension == 3: field = nc.variables[var][:,:,:] elif dimension == 4: field = nc.variables[var][:,nvert,:,:] nt = len(u[:,0,0,0]) ######################################### ### Name for title and graphics save file basename = "WINDS" if var: basename = basename + "_" + var if typefile is 'meso': stralt = "_lvl" + str(nvert) elif typefile is 'mesoapi': zelevel = int(nc.variables['vert'][nvert]) if 'altitude_abg' in nc.dimensions: stralt = "_"+str(zelevel)+"m-ALS" elif 'bottom_top' in nc.dimensions: stralt = "_"+str(zelevel)+"m-AMR" elif 'pressure' in nc.dimensions: stralt = "_"+str(zelevel)+"Pa" else: stralt = "" basename = basename + stralt ################################## ### Open a figure and set subplots fig = figure() if numplot > 0: if numplot == 4: sub = 221 fig.subplots_adjust(wspace = 0.1, hspace = 0.3) rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) elif numplot == 2: sub = 121 fig.subplots_adjust(wspace = 0.3) rcParams['font.size'] = int( rcParams['font.size'] * 3. / 4. ) elif numplot == 3: sub = 131 fig.subplots_adjust(wspace = 0.3) rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) elif numplot == 6: sub = 231 fig.subplots_adjust(wspace = 0.4, hspace = 0.0) rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) elif numplot == 8: sub = 331 #241 fig.subplots_adjust(wspace = 0.1, hspace = 0.3) rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) elif numplot == 9: sub = 331 fig.subplots_adjust(wspace = 0.1, hspace = 0.3) rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) elif numplot == 1: sub = 99999 else: print "supported: 1,2,3,4,6,8" exit() ### Prepare time loop if nt <= numplot or numplot == 1: tabrange = [0] numplot = 1 else: tabrange = range(0,nt,int(nt/numplot)) #nt-1 tabrange = tabrange[0:numplot] else: tabrange = range(0,nt,1) sub = 99999 print tabrange ################################# ### Time loop for plotting device found_lct = False for i in tabrange: ### General plot settings if numplot > 1: subplot(sub) found_lct = True elif numplot == 1: found_lct = True ### If only one local time is requested (numplot < 0) elif numplot <= 0: if (ltst+i)%24 + numplot != 0: continue else: found_lct = True ### Map projection m = define_proj(proj,wlon,wlat,back=back) x, y = m(lon2d, lat2d) #### Contour plot if var: if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(field[i,:,:]) elif typefile in ['gcm']: if dimension == 2: what_I_plot = field[:,:] elif dimension == 3: what_I_plot = field[i,:,:] contourf(x, y, what_I_plot, 30) if colorb: colorbar(fraction=0.05,pad=0.1) ### Vector plot if typefile in ['mesoapi','meso']: [vecx,vecy] = [dumpbdy(u[i,nvert,:,:]), dumpbdy(v[i,nvert,:,:])] key = True elif typefile in ['gcm']: [vecx,vecy] = [ u[i,nvert,:,:] , v[i,nvert,:,:] ] key = False if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) if var == None and back == "vishires": colorvec = 'w' else: colorvec = 'k' vectorfield(vecx, vecy,\ x, y, stride=stride, csmooth=stride,\ scale=15., factor=300., color=colorvec, key=key) #200. ## or csmooth=2 ### Next subplot ptitle( basename + "_LT"+str((ltst+i)%24) ) sub += 1 ########################################################################## ### Save the figure in a file in the data folder or an user-defined folder if not target: zeplot = namefile+"_"+basename else: zeplot = target+"/"+basename if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) if found_lct: makeplotpng(zeplot,pad_inches_value=0.35) else: print "Local time not found" #################################################### #################################################### ### A simple program to get wind vectors' components def getwinds (nc,charu='Um',charv='Vm'): import numpy as np u = nc.variables[charu] v = nc.variables[charv] if charu == 'U': u = u[:, :, :, 0:len(u[0,0,0,:])-1] if charv == 'V': v = v[:, :, 0:len(v[0,0,:,0])-1, :] ### ou alors prendre les coordonnees speciales return u,v ########################################################################################### ########################################################################################### ### What is below relate to running the file as a command line executable (very convenient) if __name__ == "__main__": import sys from optparse import OptionParser ### to be replaced by argparse from api_wrapper import api_onelevel parser = OptionParser() parser.add_option('-f', action='store', dest='namefile', type="string", default=None, help='[NEEDED] name of WRF file') parser.add_option('-l', action='store', dest='nvert', type="float", default=0, help='vertical level (def=0)(-i 2: p,mbar)(-i 3,4: z,km)') parser.add_option('-p', action='store', dest='proj', type="string", default=None, help='projection') parser.add_option('-b', action='store', dest='back', type="string", default=None, help='background') parser.add_option('-t', action='store', dest='target', type="string", default=None, help='destination folder') parser.add_option('-s', action='store', dest='stride', type="int", default=3, help='stride vectors (def=3)') parser.add_option('-v', action='store', dest='var', type="string", default=None, help='variable contoured') parser.add_option('-n', action='store', dest='numplot', type="int", default=4, help='number of plots (def=1)(<0: 1 plot of LT -*numplot*)') parser.add_option('-i', action='store', dest='interp', type="int", default=None, help='interpolation method (2: press, 3: z-amr, 4:z-als)') parser.add_option('-c', action='store', dest='colorb', type="string", default=None, help='colorbar') (opt,args) = parser.parse_args() if opt.namefile is None: print "I want to eat one file at least ! Use winds.py -f name_of_my_file. Or type winds.py -h" exit() print "Options:", opt zefile = opt.namefile zelevel = opt.nvert stralt = None if opt.interp is not None: if opt.nvert is 0 and opt.interp is 4: zelevel = 0.010 if opt.var is None : zefields = 'uvmet' else : zefields = 'uvmet,'+opt.var zefile = api_onelevel ( path_to_input = '', \ input_name = zefile, \ path_to_output = opt.target, \ fields = zefields, \ interp_method = opt.interp, \ onelevel = zelevel ) zelevel = 0 ## so that zelevel could play again the role of nvert winds (zefile,int(zelevel),\ proj=opt.proj,back=opt.back,target=opt.target,stride=opt.stride,var=opt.var,numplot=opt.numplot,colorb=opt.colorb)