| 1 | #!/usr/bin/env python |
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| 2 | |
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| 3 | ### A. Spiga -- LMD -- 30/06/2011 to 04/07/2011 |
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| 4 | ### Thanks to A. Colaitis for the parser trick |
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| 5 | |
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| 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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| 10 | def winds (namefile,\ |
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| 11 | nvert,\ |
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| 12 | proj=None,\ |
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| 13 | back=None,\ |
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| 14 | target=None, |
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| 15 | stride=3,\ |
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| 16 | numplot=4,\ |
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| 17 | var=None,\ |
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| 18 | colorb=None,\ |
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| 19 | winds=True): |
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| 20 | |
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| 21 | #################################################################################################################### |
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| 22 | ### Colorbars http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps?action=AttachFile&do=get&target=colormaps3.png |
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| 23 | |
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| 24 | ################################# |
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| 25 | ### Load librairies and functions |
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| 26 | from netCDF4 import Dataset |
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| 27 | from myplot import getcoord2d,define_proj,makeplotpng,simplinterv,vectorfield,ptitle,latinterv,getproj,wrfinterv,dumpbdy |
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| 28 | from mymath import deg |
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| 29 | from matplotlib.pyplot import contourf, subplot, figure, rcParams, savefig, colorbar |
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| 30 | from matplotlib.cm import get_cmap |
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| 31 | from timestuff import sol2ls |
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| 32 | import numpy as np |
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| 33 | |
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| 34 | ###################### |
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| 35 | ### Load NETCDF object |
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| 36 | nc = Dataset(namefile) |
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| 37 | |
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| 38 | ################################### |
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| 39 | ### Recognize predefined file types |
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| 40 | if 'controle' in nc.variables: typefile = 'gcm' |
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| 41 | elif 'vert' in nc.variables: typefile = 'mesoapi' |
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| 42 | elif 'U' in nc.variables: typefile = 'meso' |
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| 43 | else: |
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| 44 | print "typefile not supported." |
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| 45 | print nc.variables |
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| 46 | exit() |
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| 47 | |
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| 48 | ############################################################## |
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| 49 | ### Try to guess the projection from wrfout if not set by user |
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| 50 | if typefile in ['mesoapi','meso']: |
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| 51 | if proj == None: proj = getproj(nc) |
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| 52 | ### (il faudrait passer CEN_LON dans la projection ?) |
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| 53 | elif typefile in ['gcm']: |
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| 54 | if proj == None: proj = "cyl" |
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| 55 | ## pb avec les autres (de trace derriere la sphere ?) |
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| 56 | |
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| 57 | ############################################ |
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| 58 | #### Choose underlying topography by default |
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| 59 | if not back: |
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| 60 | if not var: back = "mola" ## if no var: draw mola |
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| 61 | elif typefile in ['mesoapi','meso'] \ |
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| 62 | and proj not in ['merc','lcc']: back = "molabw" ## if var but meso: draw molabw |
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| 63 | else: pass ## else: draw None |
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| 64 | |
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| 65 | #################################################### |
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| 66 | ### Get geographical coordinates and plot boundaries |
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| 67 | if typefile in ['mesoapi','meso']: |
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| 68 | [lon2d,lat2d] = getcoord2d(nc) |
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| 69 | lon2d = dumpbdy(lon2d) |
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| 70 | lat2d = dumpbdy(lat2d) |
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| 71 | elif typefile in ['gcm']: |
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| 72 | [lon2d,lat2d] = getcoord2d(nc,nlat="latitude",nlon="longitude",is1d=True) |
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| 73 | if proj == "npstere": [wlon,wlat] = latinterv("North_Pole") |
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| 74 | elif proj == "lcc": [wlon,wlat] = wrfinterv(lon2d,lat2d) |
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| 75 | else: [wlon,wlat] = simplinterv(lon2d,lat2d) |
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| 76 | |
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| 77 | ######################### |
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| 78 | ### Get local time and Ls |
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| 79 | if typefile in ['mesoapi','meso']: |
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| 80 | ltst = int(getattr(nc, 'GMT') + 0.5*(wlon[0]+wlon[1])/15.) |
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| 81 | zetime = nc.variables['Times'][0] |
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| 82 | zetimestart = getattr(nc, 'START_DATE') |
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| 83 | zeday = int(zetime[8]+zetime[9]) - int(zetimestart[8]+zetimestart[9]) |
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| 84 | if zeday < 0: lschar="" ## might have crossed a month... fix soon |
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| 85 | else: lschar="_Ls"+str( int( sol2ls ( getattr( nc, 'JULDAY' ) + zeday ) ) ) |
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| 86 | elif typefile in ['gcm']: |
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| 87 | ltst = 0 |
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| 88 | lschar = "" |
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| 89 | |
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| 90 | ############################################################################## |
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| 91 | ### Get winds and know if those are meteorological winds (ie. zon, mer) or not |
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| 92 | if winds: |
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| 93 | if typefile is 'mesoapi': |
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| 94 | [u,v] = getwinds(nc) |
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| 95 | metwind = True ## meteorological (zon/mer) |
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| 96 | elif typefile is 'gcm': |
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| 97 | [u,v] = getwinds(nc,charu='u',charv='v') |
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| 98 | metwind = True ## meteorological (zon/mer) |
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| 99 | elif typefile is 'meso': |
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| 100 | [u,v] = getwinds(nc,charu='U',charv='V') |
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| 101 | metwind = False ## geometrical (wrt grid) |
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| 102 | print "Beware ! Not using meteorological winds. You trust numerical grid as being (x,y)." |
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| 103 | |
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| 104 | ##################################################### |
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| 105 | ### Load the chosen variables, whether it is 2D or 3D |
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| 106 | if var: |
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| 107 | if var not in nc.variables: |
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| 108 | print "not found in file:",var |
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| 109 | exit() |
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| 110 | else: |
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| 111 | dimension = np.array(nc.variables[var]).ndim |
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| 112 | if dimension == 2: field = nc.variables[var][:,:] |
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| 113 | elif dimension == 3: field = nc.variables[var][:,:,:] |
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| 114 | elif dimension == 4: field = nc.variables[var][:,nvert,:,:] |
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| 115 | |
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| 116 | ########################### |
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| 117 | ### Get length of time axis |
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| 118 | if winds: nt = len(u[:,0,0,0]) |
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| 119 | elif var: |
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| 120 | if dimension == 2: nt = 1 |
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| 121 | else : nt = len(field[:,0,0]) |
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| 122 | |
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| 123 | ######################################### |
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| 124 | ### Name for title and graphics save file |
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| 125 | if winds: basename = "WINDS_" |
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| 126 | else: basename = "" |
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| 127 | if var: |
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| 128 | basename = basename + var |
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| 129 | if typefile is 'meso': stralt = "_lvl" + str(nvert) |
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| 130 | elif typefile is 'mesoapi': |
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| 131 | zelevel = int(nc.variables['vert'][nvert]) |
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| 132 | if 'altitude_abg' in nc.dimensions: stralt = "_"+str(zelevel)+"m-ALS" |
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| 133 | elif 'bottom_top' in nc.dimensions: stralt = "_"+str(zelevel)+"m-AMR" |
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| 134 | elif 'pressure' in nc.dimensions: stralt = "_"+str(zelevel)+"Pa" |
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| 135 | else: stralt = "" |
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| 136 | basename = basename + stralt |
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| 137 | |
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| 138 | ################################## |
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| 139 | ### Open a figure and set subplots |
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| 140 | fig = figure() |
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| 141 | if numplot > 0: |
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| 142 | if numplot == 4: |
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| 143 | sub = 221 |
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| 144 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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| 145 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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| 146 | elif numplot == 2: |
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| 147 | sub = 121 |
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| 148 | fig.subplots_adjust(wspace = 0.3) |
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| 149 | rcParams['font.size'] = int( rcParams['font.size'] * 3. / 4. ) |
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| 150 | elif numplot == 3: |
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| 151 | sub = 131 |
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| 152 | fig.subplots_adjust(wspace = 0.3) |
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| 153 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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| 154 | elif numplot == 6: |
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| 155 | sub = 231 |
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| 156 | fig.subplots_adjust(wspace = 0.4, hspace = 0.0) |
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| 157 | rcParams['font.size'] = int( rcParams['font.size'] * 2. / 3. ) |
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| 158 | elif numplot == 8: |
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| 159 | sub = 331 #241 |
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| 160 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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| 161 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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| 162 | elif numplot == 9: |
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| 163 | sub = 331 |
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| 164 | fig.subplots_adjust(wspace = 0.1, hspace = 0.3) |
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| 165 | rcParams['font.size'] = int( rcParams['font.size'] * 1. / 2. ) |
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| 166 | elif numplot == 1: |
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| 167 | sub = 99999 |
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| 168 | else: |
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| 169 | print "supported: 1,2,3,4,6,8" |
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| 170 | exit() |
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| 171 | ### Prepare time loop |
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| 172 | if nt <= numplot or numplot == 1: |
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| 173 | tabrange = [0] |
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| 174 | numplot = 1 |
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| 175 | else: |
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| 176 | tabrange = range(0,nt,int(nt/numplot)) #nt-1 |
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| 177 | tabrange = tabrange[0:numplot] |
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| 178 | else: |
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| 179 | tabrange = range(0,nt,1) |
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| 180 | sub = 99999 |
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| 181 | print tabrange |
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| 182 | |
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| 183 | ################################# |
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| 184 | ### Time loop for plotting device |
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| 185 | found_lct = False |
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| 186 | for i in tabrange: |
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| 187 | |
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| 188 | ### General plot settings |
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| 189 | if numplot > 1: |
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| 190 | subplot(sub) |
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| 191 | found_lct = True |
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| 192 | elif numplot == 1: |
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| 193 | found_lct = True |
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| 194 | ### If only one local time is requested (numplot < 0) |
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| 195 | elif numplot <= 0: |
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| 196 | if (ltst+i)%24 + numplot != 0: continue |
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| 197 | else: found_lct = True |
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| 198 | |
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| 199 | ### Map projection |
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| 200 | m = define_proj(proj,wlon,wlat,back=back) |
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| 201 | x, y = m(lon2d, lat2d) |
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| 202 | |
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| 203 | #### Contour plot |
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| 204 | if var: |
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| 205 | if typefile in ['mesoapi','meso']: what_I_plot = dumpbdy(field[i,:,:]) |
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| 206 | elif typefile in ['gcm']: |
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| 207 | if dimension == 2: what_I_plot = field[:,:] |
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| 208 | elif dimension == 3: what_I_plot = field[i,:,:] |
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| 209 | contourf( x, y, what_I_plot, 30, cmap = get_cmap(name=colorb) ) |
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| 210 | if colorb: colorbar(fraction=0.05,pad=0.1) |
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| 211 | |
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| 212 | ### Vector plot |
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| 213 | if winds: |
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| 214 | if typefile in ['mesoapi','meso']: |
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| 215 | [vecx,vecy] = [dumpbdy(u[i,nvert,:,:]), dumpbdy(v[i,nvert,:,:])] |
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| 216 | key = True |
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| 217 | elif typefile in ['gcm']: |
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| 218 | [vecx,vecy] = [ u[i,nvert,:,:] , v[i,nvert,:,:] ] |
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| 219 | key = False |
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| 220 | if metwind: [vecx,vecy] = m.rotate_vector(vecx, vecy, lon2d, lat2d) |
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| 221 | if var == None and back == "vishires": colorvec = 'w' |
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| 222 | else: colorvec = 'k' |
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| 223 | vectorfield(vecx, vecy,\ |
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| 224 | x, y, stride=stride, csmooth=stride,\ |
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| 225 | scale=15., factor=300., color=colorvec, key=key) |
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| 226 | #200. ## or csmooth=2 |
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| 227 | |
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| 228 | ### Next subplot |
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| 229 | ptitle( basename + "_LT"+str((ltst+i)%24) + lschar ) |
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| 230 | sub += 1 |
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| 231 | |
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| 232 | ########################################################################## |
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| 233 | ### Save the figure in a file in the data folder or an user-defined folder |
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| 234 | if not target: zeplot = namefile+"_"+basename |
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| 235 | else: zeplot = target+"/"+basename |
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| 236 | if numplot <= 0: zeplot = zeplot + "_LT"+str(abs(numplot)) |
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| 237 | if found_lct: makeplotpng(zeplot,pad_inches_value=0.35) |
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| 238 | else: print "Local time not found" |
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| 239 | return zeplot |
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| 240 | |
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| 241 | |
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| 242 | #################################################### |
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| 243 | #################################################### |
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| 244 | ### A simple program to get wind vectors' components |
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| 245 | def getwinds (nc,charu='Um',charv='Vm'): |
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| 246 | import numpy as np |
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| 247 | u = nc.variables[charu] |
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| 248 | v = nc.variables[charv] |
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| 249 | if charu == 'U': u = u[:, :, :, 0:len(u[0,0,0,:])-1] |
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| 250 | if charv == 'V': v = v[:, :, 0:len(v[0,0,:,0])-1, :] |
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| 251 | ### ou alors prendre les coordonnees speciales |
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| 252 | return u,v |
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| 253 | |
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| 254 | |
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| 255 | |
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| 256 | ########################################################################################### |
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| 257 | ########################################################################################### |
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| 258 | ### What is below relate to running the file as a command line executable (very convenient) |
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| 259 | if __name__ == "__main__": |
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| 260 | import sys |
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| 261 | from optparse import OptionParser ### to be replaced by argparse |
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| 262 | from api_wrapper import api_onelevel |
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| 263 | |
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| 264 | ############################# |
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| 265 | ### Get options and variables |
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| 266 | parser = OptionParser() |
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| 267 | parser.add_option('-f', action='store', dest='namefile', type="string", default=None, help='[NEEDED] name of WRF file') |
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| 268 | 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)') |
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| 269 | parser.add_option('-p', action='store', dest='proj', type="string", default=None, help='projection') |
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| 270 | parser.add_option('-b', action='store', dest='back', type="string", default=None, help='background') |
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| 271 | parser.add_option('-t', action='store', dest='target', type="string", default=None, help='destination folder') |
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| 272 | parser.add_option('-s', action='store', dest='stride', type="int", default=3, help='stride vectors (def=3)') |
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| 273 | parser.add_option('-v', action='store', dest='var', type="string", default=None, help='variable contoured') |
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| 274 | parser.add_option('-n', action='store', dest='numplot', type="int", default=4, help='number of plots (def=1)(<0: 1 plot of LT -*numplot*)') |
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| 275 | parser.add_option('-i', action='store', dest='interp', type="int", default=None, help='interpolation method (2: press, 3: z-amr, 4:z-als)') |
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| 276 | parser.add_option('-c', action='store', dest='colorb', type="string", default=None, help='change colormap (and draw a colorbar)') |
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| 277 | parser.add_option('-x', action='store_false', dest='winds', default=True, help='flag: no wind vectors') |
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| 278 | (opt,args) = parser.parse_args() |
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| 279 | if opt.namefile is None: |
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| 280 | 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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| 281 | exit() |
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| 282 | print "Options:", opt |
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| 283 | zefile = opt.namefile |
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| 284 | zelevel = opt.nvert |
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| 285 | stralt = None |
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| 286 | |
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| 287 | ##################################################### |
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| 288 | ### Call Fortran routines for vertical interpolations |
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| 289 | if opt.interp is not None: |
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| 290 | if opt.nvert is 0 and opt.interp is 4: zelevel = 0.010 |
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| 291 | ### winds or no winds |
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| 292 | if opt.winds : zefields = 'uvmet' |
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| 293 | else : zefields = '' |
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| 294 | ### var or no var |
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| 295 | if opt.var is None : pass |
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| 296 | elif zefields == '' : zefields = opt.var |
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| 297 | else : zefields = zefields + "," + opt.var |
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| 298 | print zefields |
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| 299 | zefile = api_onelevel ( path_to_input = '', \ |
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| 300 | input_name = zefile, \ |
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| 301 | path_to_output = opt.target, \ |
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| 302 | fields = zefields, \ |
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| 303 | interp_method = opt.interp, \ |
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| 304 | onelevel = zelevel ) |
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| 305 | zelevel = 0 ## so that zelevel could play again the role of nvert |
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| 306 | |
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| 307 | ############# |
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| 308 | ### Main call |
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| 309 | name = winds (zefile,int(zelevel),\ |
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| 310 | proj=opt.proj,back=opt.back,target=opt.target,stride=opt.stride,var=opt.var,numplot=opt.numplot,colorb=opt.colorb,winds=opt.winds) |
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| 311 | |
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| 312 | ######################################################### |
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| 313 | ### Generate a .sh file with the used command saved in it |
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| 314 | command = "" |
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| 315 | for arg in sys.argv: command = command + arg + ' ' |
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| 316 | f = open(name+'.sh', 'w') |
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| 317 | f.write(command) |
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