| [180] | 1 | #!/usr/bin/env python |
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| 2 | |
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| [184] | 3 | ### A. Spiga -- LMD -- 30/05/2011 |
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| 4 | ### Thanks to A. Colaitis for the parser trick |
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| [180] | 5 | |
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| [184] | 6 | |
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| 7 | #################################### |
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| 8 | #################################### |
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| 9 | ### The main program to plot vectors |
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| [182] | 10 | def winds (namefile,\ |
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| 11 | nvert,\ |
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| [184] | 12 | proj=None,\ |
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| [182] | 13 | back=None,\ |
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| 14 | target=None, |
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| [184] | 15 | stride=3,\ |
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| 16 | numplot=4,\ |
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| 17 | var=None): |
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| 18 | |
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| 19 | ################################# |
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| 20 | ### Load librairies and functions |
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| [180] | 21 | from netCDF4 import Dataset |
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| [184] | 22 | from myplot import getcoord2d,define_proj,makeplotpng,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy |
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| 23 | from matplotlib.pyplot import contourf, subplot, figure, rcParams, savefig |
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| [182] | 24 | import numpy as np |
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| [184] | 25 | |
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| 26 | ############################# |
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| 27 | ### Lower a bit the font size |
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| 28 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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| 29 | |
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| 30 | ###################### |
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| 31 | ### Load NETCDF object |
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| [180] | 32 | nc = Dataset(namefile) |
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| [184] | 33 | |
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| 34 | ################################### |
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| 35 | ### Recognize predefined file types |
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| 36 | if 'controle' in nc.variables: typefile = 'gcm' |
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| 37 | elif 'Um' in nc.variables: typefile = 'mesoapi' |
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| 38 | elif 'U' in nc.variables: typefile = 'meso' |
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| 39 | else: |
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| 40 | print "typefile not supported." |
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| [182] | 41 | exit() |
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| [184] | 42 | |
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| 43 | ############################################################## |
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| 44 | ### Try to guess the projection from wrfout if not set by user |
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| 45 | if typefile in ['mesoapi','meso']: |
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| 46 | if proj == None: proj = getproj(nc) |
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| 47 | ### (il faudrait passer CEN_LON dans la projection ?) |
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| 48 | elif typefile in ['gcm']: |
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| 49 | if proj == None: proj = "cyl" |
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| 50 | ## pb avec les autres (de trace derriere la sphere ?) |
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| 51 | |
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| 52 | ################################################################### |
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| 53 | ### For mesoscale results plot the underlying topography by default |
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| 54 | if typefile in ['mesoapi','meso']: |
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| 55 | if var == None: var = 'HGT' |
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| 56 | |
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| 57 | #################################################### |
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| 58 | ### Get geographical coordinates and plot boundaries |
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| 59 | if typefile in ['mesoapi','meso']: |
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| 60 | [lon2d,lat2d] = getcoord2d(nc) |
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| 61 | lon2d = dumpbdy(lon2d) |
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| 62 | lat2d = dumpbdy(lat2d) |
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| 63 | elif typefile in ['gcm']: |
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| 64 | [lon2d,lat2d] = getcoord2d(nc,nlat="latitude",nlon="longitude",is1d=True) |
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| 65 | if proj == "npstere": [wlon,wlat] = latinterv("North_Pole") |
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| 66 | elif proj == "lcc": [wlon,wlat] = wrfinterv(lon2d,lat2d) |
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| 67 | else: [wlon,wlat] = simplinterv(lon2d,lat2d) |
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| 68 | |
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| 69 | ################## |
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| 70 | ### Get local time |
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| 71 | if typefile in ['mesoapi','meso']: ltst = int(getattr(nc, 'GMT') + 0.5*(wlon[0]+wlon[1])/15.) |
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| 72 | elif typefile in ['gcm']: ltst = 0 |
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| 73 | |
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| 74 | ############################################################################## |
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| 75 | ### Get winds and know if those are meteorological winds (ie. zon, mer) or not |
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| 76 | if typefile is 'mesoapi': |
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| 77 | [u,v] = getwinds(nc) |
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| 78 | metwind = True ## meteorological (zon/mer) |
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| 79 | elif typefile is 'gcm': |
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| 80 | [u,v] = getwinds(nc,charu='u',charv='v') |
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| 81 | metwind = True ## meteorological (zon/mer) |
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| 82 | elif typefile is 'meso': |
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| 83 | [u,v] = getwinds(nc,charu='U',charv='V') |
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| 84 | metwind = False ## geometrical (wrt grid) |
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| 85 | |
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| 86 | #################################################### |
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| 87 | ### Load the chosen variables, whether it is 2D or 3D |
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| 88 | if var: |
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| 89 | if var not in nc.variables: |
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| 90 | print "not found in file:",var |
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| 91 | exit() |
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| 92 | else: |
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| 93 | dimension = np.array(nc.variables[var]).ndim |
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| 94 | if dimension == 2: field = nc.variables[var][:,:] |
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| 95 | elif dimension == 3: field = nc.variables[var][:,:,:] |
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| 96 | elif dimension == 4: field = nc.variables[var][:,nvert,:,:] |
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| 97 | |
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| 98 | ################################## |
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| 99 | ### Open a figure and set subplots |
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| [180] | 100 | fig = figure() |
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| [184] | 101 | if numplot == 4: |
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| 102 | sub = 221 |
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| 103 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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| 104 | elif numplot == 2: |
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| 105 | sub = 121 |
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| 106 | fig.subplots_adjust(wspace = 0.3) |
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| 107 | elif numplot == 3: |
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| 108 | sub = 131 |
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| 109 | fig.subplots_adjust(wspace = 0.3) |
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| 110 | elif numplot == 6: |
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| 111 | sub = 231 |
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| 112 | fig.subplots_adjust(wspace = 0.4, hspace = 0.0) |
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| 113 | elif numplot == 8: |
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| 114 | sub = 331 #241 |
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| 115 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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| 116 | else: |
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| 117 | print "supported: 1,2,3,4,6,8" |
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| 118 | exit() |
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| 119 | |
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| 120 | ##################### |
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| 121 | ### Prepare time loop |
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| 122 | nt = len(u[:,0,0,0]) |
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| 123 | if nt <= numplot or numplot == 1: |
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| 124 | print "I am plotting only one map ",nt,numplot |
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| 125 | tabrange = [0] |
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| 126 | else: |
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| 127 | tabrange = range(0,nt-1,int(nt/numplot)) |
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| 128 | |
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| 129 | ################################# |
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| 130 | ### Time loop for plotting device |
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| 131 | for i in tabrange: |
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| 132 | |
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| 133 | print i |
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| 134 | |
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| 135 | ### General plot settings |
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| 136 | if tabrange != [0]: subplot(sub) |
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| 137 | zetitle = "WINDS" + "_" |
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| 138 | |
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| 139 | ### Map projection |
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| [180] | 140 | m = define_proj(proj,wlon,wlat,back=back) |
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| 141 | x, y = m(lon2d, lat2d) |
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| [184] | 142 | |
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| 143 | #### Contour plot |
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| 144 | if var: |
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| 145 | zetitle = zetitle + var + "_" |
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| 146 | if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(field[i,:,:]) |
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| 147 | elif typefile in ['gcm']: |
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| 148 | if dimension == 2: what_I_plot = field[:,:] |
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| 149 | elif dimension == 3: what_I_plot = field[i,:,:] |
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| 150 | contourf(x, y, what_I_plot, 30) |
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| 151 | |
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| 152 | ### Vector plot |
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| 153 | if typefile in ['mesoapi','meso']: |
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| 154 | [vecx,vecy] = [dumpbdy(u[i,nvert,:,:]), dumpbdy(v[i,nvert,:,:])] |
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| 155 | key = True |
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| 156 | elif typefile in ['gcm']: |
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| 157 | [vecx,vecy] = [ u[i,nvert,:,:] , v[i,nvert,:,:] ] |
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| 158 | key = False |
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| 159 | if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) |
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| 160 | else: print "Beware ! Not using meteorological winds. You trust numerical grid as being (x,y)." |
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| 161 | vectorfield(vecx, vecy,\ |
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| [182] | 162 | x, y, stride=stride, csmooth=2,\ |
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| [184] | 163 | scale=15., factor=200., color='k', key=key) |
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| 164 | |
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| 165 | ### Next subplot |
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| 166 | zetitle = zetitle + "LT"+str((ltst+i)%24) |
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| 167 | ptitle(zetitle) |
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| [180] | 168 | sub += 1 |
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| [184] | 169 | |
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| 170 | ########################################################################## |
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| 171 | ### Save the figure in a file in the data folder or an user-defined folder |
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| 172 | if not target: zeplot = namefile+zetitle |
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| 173 | else: zeplot = target+"/"+zetitle |
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| [181] | 174 | makeplotpng(zeplot,pad_inches_value=0.35) |
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| [180] | 175 | |
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| [184] | 176 | |
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| 177 | |
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| 178 | #################################################### |
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| 179 | #################################################### |
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| 180 | ### A simple program to get wind vectors' components |
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| 181 | def getwinds (nc,charu='Um',charv='Vm'): |
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| [182] | 182 | import numpy as np |
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| [180] | 183 | u = nc.variables[charu] |
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| 184 | v = nc.variables[charv] |
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| [182] | 185 | if charu == 'U': u = u[:, :, :, 0:len(u[0,0,0,:])-1] |
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| 186 | if charv == 'V': v = v[:, :, 0:len(v[0,0,:,0])-1, :] |
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| [184] | 187 | ### ou alors prendre les coordonnees speciales |
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| [180] | 188 | return u,v |
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| 189 | |
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| [184] | 190 | |
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| 191 | |
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| 192 | ########################################################################################### |
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| 193 | ########################################################################################### |
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| 194 | ### What is below relate to running the file as a command line executable (very convenient) |
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| [180] | 195 | if __name__ == "__main__": |
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| 196 | import sys |
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| [184] | 197 | from optparse import OptionParser ### to be replaced by argparse |
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| [182] | 198 | parser = OptionParser() |
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| 199 | parser.add_option('-f', action='store', dest='namefile', type="string", default=None, help='name of WRF file [NEEDED]') |
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| 200 | parser.add_option('-l', action='store', dest='nvert', type="int", default=0, help='subscript for vertical level') |
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| [184] | 201 | parser.add_option('-p', action='store', dest='proj', type="string", default=None, help='projection') |
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| [182] | 202 | parser.add_option('-b', action='store', dest='back', type="string", default=None, help='background') |
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| 203 | parser.add_option('-t', action='store', dest='target', type="string", default=None, help='destination folder') |
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| [184] | 204 | parser.add_option('-s', action='store', dest='stride', type="int", default=3, help='stride vectors') |
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| 205 | parser.add_option('-v', action='store', dest='var', type="string", default=None, help='variable contoured') |
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| 206 | parser.add_option('-n', action='store', dest='numplot', type="int", default=4, help='number of plots') |
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| [182] | 207 | (opt,args) = parser.parse_args() |
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| 208 | if opt.namefile is None: |
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| 209 | print "I want to eat one file at least ! Use winds.py -f name_of_my_file. Or type winds.py -h" |
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| 210 | exit() |
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| 211 | print "Options:", opt |
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| [184] | 212 | winds (opt.namefile,opt.nvert,proj=opt.proj,back=opt.back,target=opt.target,stride=opt.stride,var=opt.var,numplot=opt.numplot) |
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| 213 | |
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| 214 | # if typefile in ['gcm']: |
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| 215 | # if var == 'HGT': var = 'phisinit' ## default choice for GCM |
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| 216 | |
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| 217 | |
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