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import pygrib
import matplotlib.pyplot as plt
import matplotlib.colors as colors
from mpl_toolkits.basemap import Basemap
from mpl_toolkits.basemap import shiftgrid
import numpy as np

plt.figure(figsize=(12,8))

grib = 'cams_aod.grib' # Set the file name of your input GRIB file
grbs = pygrib.open(grib)

grb = grbs.select()[0]
data = grb.values

# need to shift data grid longitudes from (0..360) to (-180..180)
lons = np.linspace(float(grb['longitudeOfFirstGridPointInDegrees']), \
float(grb['longitudeOfLastGridPointInDegrees']), int(grb['Ni']) )
lats = np.linspace(float(grb['latitudeOfFirstGridPointInDegrees']), \
float(grb['latitudeOfLastGridPointInDegrees']), int(grb['Nj']) )
data, lons = shiftgrid(180., data, lons, start=False)
grid_lon, grid_lat = np.meshgrid(lons, lats) #regularly spaced 2D grid

m = Basemap(projection='cyl', llcrnrlon=-180, \
    urcrnrlon=180.,llcrnrlat=lats.min(),urcrnrlat=lats.max(), \
    resolution='c')

x, y = m(grid_lon, grid_lat)

cs = m.pcolormesh(x,y,data,shading='flat',cmap=plt.cm.gist_stern_r)

m.drawcoastlines()
m.drawmapboundary()
m.drawparallels(np.arange(-90.,120.,30.),labels=[1,0,0,0])
m.drawmeridians(np.arange(-180.,180.,60.),labels=[0,0,0,1])

plt.colorbar(cs,orientation='vertical', shrink=0.5)
plt.title('CAMS AOD forecast') # Set the name of the variable to plot
plt.savefig(grib+'.png') # Set the output file name

cdo -s gencon,grid.R720x360.txt frp_01.grb remapweights.rencon.R3600x1800.to.R720x360.grb

cdo -s remap,grid.R720x360.txt,remapweights.rencon.R3600x1800.to.R720x360.grb frp_01.grb frp_05.grb

#
# gridID 2
#
gridtype  = lonlat
gridsize  = 259200
xname     = lon
xlongname = longitude
xunits    = degrees_east
yname     = lat
ylongname = latitude
yunits    = degrees_north
xsize     = 720
ysize     = 360
xfirst    = 0.25
xinc      = 0.5
yfirst    = 89.75
yinc      = -0.5