3 import matplotlib
as mpl
7 from mpl_toolkits.basemap
import Basemap
9 import matplotlib.pyplot
as plt
13 import get_grib_field
as ggf
18 '200_temp': {
'lev':
'200',
'pvar':
't',
'pfill':
's',
'barbs':
True,
'hgt':
False,
'vc':
'isobaricInhPa'},
19 '500_hgt': {
'lev':
'500',
'pvar':
'gh',
'pfill':
's',
'barbs':
True,
'hgt':
True,
'vc':
'isobaricInhPa'},
20 '500_temp': {
'lev':
'500',
'pvar':
't',
'pfill':
's',
'barbs':
True,
'hgt':
False,
'vc':
'isobaricInhPa'},
21 '500_absv': {
'lev':
'500',
'pvar':
'absv',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'isobaricInhPa'},
22 '700_temp': {
'lev':
'700',
'pvar':
't',
'pfill':
's',
'barbs':
True,
'hgt':
False,
'vc':
'isobaricInhPa'},
24 '850_hgt': {
'lev':
'850',
'pvar':
'gh',
'pfill':
's',
'barbs':
True,
'hgt':
True,
'vc':
'isobaricInhPa'},
25 '850_temp': {
'lev':
'850',
'pvar':
't',
'pfill':
's',
'barbs':
True,
'hgt':
False,
'vc':
'isobaricInhPa'},
26 '850_rh': {
'lev':
'850',
'pvar':
'r', 'pfill': 's', 'barbs': True, 'hgt': False, 'vc': 'isobaricInhPa'},
27 '2m_tmp': {
'lev':
'2',
'pvar':
'2t',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'heightAboveGround'},
28 '2m_dpt': {
'lev':
'2',
'pvar':
'2d',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'heightAboveGround'},
29 '10m_u': {
'lev':
'10',
'pvar':
'10u',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'heightAboveGround'},
30 '10m_v': {
'lev':
'10',
'pvar':
'10v',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'heightAboveGround'},
31 'prmsl': {
'lev':
'0',
'pvar':
'prmsl',
'pfill':
's',
'pline':
True,
'barbs':
True,
'hgt':
False,
'vc':
'meanSea'},
32 'pwat': {
'lev':
'0',
'pvar':
'pwat',
'pfill':
's',
'pline':
False,
'barbs':
False,
'hgt':
False,
'vc':
'unknown'},
33 'prate': {
'lev':
'0',
'pvar':
'prate',
'pfill':
's',
'pline':
False,
'barbs':
False,
'hgt':
False,
'vc':
'surface',
'acc_field':
True},
34 'cprat': {
'lev':
'0',
'pvar':
'cprat',
'pfill':
's',
'pline':
False,
'barbs':
False,
'hgt':
False,
'vc':
'surface',
'acc_field':
True},
35 '6h_acpcp': {
'lev':
'0',
'pvar':
'acpcp',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'surface',
'acc_field':
True},
36 '6h_apcp': {
'lev':
'0',
'pvar':
'tp',
'pfill':
's',
'barbs':
False,
'hgt':
False,
'vc':
'surface',
'acc_field':
True}
45 moad_dataroot=os.getenv(
'MOAD_DATAROOT')
46 rotdir=os.getenv(
'ROTDIR')
47 expdir=os.getenv(
'EXPDIR')
48 rotnm=os.getenv(
'ROTNM')
49 expnm=os.getenv(
'EXPNM')
51 print 'plotting the difference between:',expnm,
'and',rotnm
52 diffstr=
''.join([
'(',expnm,
'-',rotnm,
')'])
55 date=os.getenv(
'START_TIME')
56 fhr=os.getenv(
'FCST_TIME')
57 grid_list=os.getenv(
'GRID_VX_LIST')
58 vx_grid=grid_list.split(
" ")
59 filename=
''.join([
'pgrbq', fhr,
'.gfs.', date,
'_', grid_list,
'.grib2'])
60 rotf=
'/'.join([rotdir, filename])
61 expf=
'/'.join([expdir, filename])
62 print ' rotdir = ', rotdir
63 print ' expdir = ', expdir
65 print '... plotting the difference fields ...' 66 user_def = os.getenv(
'USER_MAPS',
False)
70 outdir=
'/'.join([
'./',
'figprd'])
80 plt.figure(figsize=(12,8))
83 acc_field=def_maps[fig].get(
'acc_field',
False)
86 if (acc_field
and fhr !=
'000')
or (
not acc_field):
87 level = def_maps[fig].get(
'lev')
88 var = def_maps[fig].get(
'pvar')
89 hgt = def_maps[fig].get(
'hgt')
90 plot_wind = def_maps[fig].get(
'barbs',
False)
91 plot_line = def_maps[fig].get(
'pline',
False)
92 coord = def_maps[fig].get(
'vc')
96 if plot_wind
and var ==
'wind':
97 u = ggf.get_ua_field(rotf,level,coord,shortName=
'u') 98 v = ggf.get_ua_field(rotf,level,coord,shortName='v')
100 elif plot_wind
and var ==
'10wind':
101 u = ggf.get_ua_field(rotf,level,coord,shortName=
'10u')
102 v = ggf.get_ua_field(rotf,level,coord,shortName=
'10v')
109 height = ggf.get_ua_field(rotf,level,coord,shortName=
'gh')
112 fd_rot=ggf.get_ua_field(rotf,level,coord,shortName=var)
113 fd_exp=ggf.get_ua_field(expf,level,coord,shortName=var)
114 atime = fd_rot.analDate.strftime(
'Analysis: %Y%m%d %H UTC')
115 altime= fd_rot.analDate.strftime(
'%Y%m%d%H')
116 vtime = fd_rot.validDate.strftime(
'Valid: %Y%m%d %H UTC')
118 fdrot = fd_rot.values
119 fdexp = fd_exp.values
123 lat,lon = fd_rot.latlons()
125 if grid ==
'glob' or grid ==
'G3':
126 m =Basemap(projection=
'cyl',lat_ts=10,llcrnrlon=lon.min(), \
127 urcrnrlon=lon.max(),llcrnrlat=lat.min(),urcrnrlat=lat.max(), \
129 elif grid ==
'nh_mill':
130 m =Basemap(projection=
'mill',lat_ts=10,llcrnrlon=lon.min(), \
131 urcrnrlon=lon.max(),llcrnrlat=0,urcrnrlat=90, \
133 elif grid ==
'sh_mill':
134 m =Basemap(projection=
'mill',lat_ts=10,llcrnrlon=lon.min(), \
135 urcrnrlon=lon.max(),llcrnrlat=-90,urcrnrlat=0, \
137 elif grid ==
'trop_mill':
138 m =Basemap(projection=
'mill',lat_ts=10,llcrnrlon=lon.min(), \
139 urcrnrlon=lon.max(),llcrnrlat=-23,urcrnrlat=23, \
142 m =Basemap(projection=
'npstere',boundinglat=-0.268, \
143 lon_0=-105,resolution=
'c')
145 m =Basemap(projection=
'npstere',boundinglat=-60, \
146 lon_0=105,resolution=
'c')
148 m =Basemap(projection=
'lcc',lat_ts=10,llcrnrlon=226.514, \
149 urcrnrlon=-49.420,llcrnrlat=12.190,urcrnrlat=57.328, \
150 resolution=
'c',lat_1=25,lat_2=25,lon_0=265,rsphere=6371200)
152 lon_w,lon_e,lat_s,lat_n =[-147, -64, 10.8, 89.9]
153 lon_0 = lon_w + (lon_e - lon_w) / 2.
154 ref = lat_s
if abs(lat_s) > abs(lat_n)
else lat_n
155 lat_0 = math.copysign(90., ref)
156 proj =
'npstere' if lat_0 > 0
else 'spstere' 157 prj = Basemap(projection=proj, lon_0=lon_0, lat_0=lat_0,
158 boundinglat=0, resolution=
'c')
159 lons = [lon_w, lon_e, lon_w, lon_e, lon_0, lon_0]
160 lats = [lat_s, lat_s, lat_n, lat_n, lat_s, lat_n]
161 x, y = prj(lons, lats)
162 ll_lon, ll_lat = prj(min(x), min(y), inverse=
True)
163 ur_lon, ur_lat = prj(max(x), max(y), inverse=
True)
164 m =Basemap(projection=
'stere', lat_0=lat_0, lon_0=lon_0,
165 llcrnrlon=ll_lon, llcrnrlat=ll_lat,
166 urcrnrlon=ur_lon, urcrnrlat=ur_lat, resolution=
'c')
175 m.drawlsmask(ocean_color=
'white',land_color=
'white')
178 parallels = np.arange(-90.,90,10.)
179 m.drawparallels(parallels,labels=[1,0,0,0],fontsize=10)
180 meridians = np.arange(0.,360.,20.)
181 m.drawmeridians(meridians,labels=[0,0,0,1],fontsize=10)
201 elif var ==
't' or var==
'2t':
207 elif var ==
'10u' or var==
'10v':
223 clevs=np.arange(-cbd,cbd,itv)
226 cs = m.contourf(x,y,data,clevs,cmap=plt.cm.RdBu_r)
228 csl = m.contour(x,y,data,clevs,colors=
'k')
232 if coord ==
'isobaricInhPa':
234 elif coord ==
'hybrid':
236 elif coord ==
'heightAboveGround':
241 print 'diff ', var,
',', level, vert_unit,
': max/min = ',data.max(), data.min(),
'; clevs = ',clevs
245 plt.colorbar(cs,orientation=
'horizontal',extend=
'both')
250 title_str=str(
'%s %s' %(myvar,diffstr))
251 plt.title(
'%s \nFcst Hr: %s' % (atime, fhr) , loc=
'left')
252 plt.title(
'%s %s' % (myvar,diffstr), loc =
'right')
253 plt.title(
'%s %s' % (level,vert_unit))
254 plt.xlabel(
'%s' % (vtime), fontsize=18, labelpad=40)
257 filename=
''.join([
'%s' % (myvar),
'%s' % (level),vert_unit,
'_',grid,
'_',altime,
'_f',fhr,
'_diff.png'])
260 if not os.path.exists(outdir):
263 plt.savefig(
'/'.join([outdir, filename]))