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plot_grib.py
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plot_grib.py
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# -*- coding: utf-8 -*-
"""
Created on Thu Jun 23 19:02:34 2016
@author: dori
"""
import pygrib
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap, cm
import numpy as np
from glob import glob
folder = '/media/DATA/JWA/Lightning/Light_'
filend = ['.grb','_USA.grb']
months={'01':'January','02':'February','03':'March','04':'April','05':'May',
'06':'June','07':'July','08':'August','09':'September','10':'October',
'11':'November','12':'December'}
zones={'North America':[-5,70,-125,-35],
'Europa':[ 5,70,-35,55],
'Asia':[-5,70,55,145],
'North Pacific':[-5,70,145,235],
'South America':[-60,15,-110,-10],
'Africa':[-60,15,-10,70],
'Oceania':[-70,5,70,160],
'South Pacific':[-70,5,160,250]}
year_maxvalue = {}
## Function to plot georeferenciated data, slicing portions, and setting maxvalue
def plot_map(data,lon,lat,corners,savename,titleplot,topvalue,colorlabel=None):
llat,ulat,llon,rlon = corners
plt.figure()
m = Basemap(projection='mill',lat_ts=10,llcrnrlon=llon, urcrnrlon=rlon,
llcrnrlat=llat,urcrnrlat=ulat, resolution='i')
x,y = m(lon,lat)
m.drawcoastlines(linewidth=0.5)
m.drawparallels(np.arange(-90.,120.,10.),labels=[1,0,0,0])
m.drawmeridians(np.arange(-180.,180.,15.),labels=[0,0,0,1])
m.drawcountries()
m.drawstates()
clevs = np.linspace(0,topvalue,200)
cs = m.contourf(x,y,data,clevs,cmap=cm.s3pcpn)
cbar = plt.colorbar(cs,orientation='vertical',
ticks=np.linspace(0,topvalue,11))
if colorlabel is None:
colorlabel = 'Flashes km$^{-2}$'
cbar.set_label(colorlabel)
plt.title(titleplot)
plt.savefig(savename,dpi=150)
plt.close()
# Function to extract local maximum in a sector
def find_local_max(data,lat,lon,corners):
llat,ulat,llon,rlon = corners
if rlon > 180.0:
rlon = 180-rlon
majour = lat>llat
minor = lat<ulat
if ulat>llat:
dLat = np.logical_and(majour,minor)
else:
dLat = np.logical_or(majour,minor)
majour = lon>llon
minor = lon<rlon
if rlon>llon:
dLon = np.logical_and(majour,minor)
else:
dLon = np.logical_or(majour,minor)
idx = np.logical_and(dLat,dLon)
datar=data[idx]
return datar.max()
def extract_grib_data(gribfile):
grbs=pygrib.open(gribfile)
grb = grbs.message(1)
data = grb.data()[0]
lat = grb.data()[1]
lon = grb.data()[2]
grbs.close()
return data,lat,lon
## --- PLOT DATA YEARLY
fend=filend[0]
grib=folder[0:-1]+fend
data,lat,lon = extract_grib_data(grib)
print('year ',data.max())
for zone in zones.keys():
figname='Yearly/'+zone+'.png'
title='Lightning intensity year'
#maxvalue = 80
year_maxvalue[zone] = find_local_max(data,lat,lon,zones[zone])
plot_map(data=data,lon=lon,lat=lat,corners=zones[zone],
savename=figname,titleplot=title,topvalue=year_maxvalue[zone])
#year_maxvalue[zone] = find_local_max(data,lat,lon,zones[zone])
dataN = data/year_maxvalue[zone]
plot_map(data=dataN,lon=lon,lat=lat,corners=zones[zone],
savename='Yearly/'+zone+'NORM.png',
titleplot=title,
colorlabel='Relative frequency to year max',
topvalue=1.0)
#%%
## --- PLOT DATA MONTHLY
file_list = glob(folder+'??'+fend)
for grib in file_list:
cut1 = len(folder)
cut2 = len(fend)
mm = grib[cut1:-cut2]
data,lat,lon = extract_grib_data(grib)
print(mm,data.max())
maxvalue = 16
for zone in zones.keys():
maxv = find_local_max(data,lat,lon,zones[zone])
figname='Zones_monthly/'+mm+zone+'.png'
title='Lightning intensity '+zone+' '+months[mm]
plot_map(data=data,lon=lon,lat=lat,corners=zones[zone],
savename=figname,titleplot=title,topvalue=maxv)
data_norm = data/maxv
plot_map(data=data_norm,lon=lon,lat=lat,corners=zones[zone],
savename='Zones_monthly/'+mm+zone+'NormMonth.png',
titleplot=title,
colorlabel='Relative frequency to month max',
topvalue=1.0)
data_nory = data/year_maxvalue[zone]
plot_map(data=data_nory,lon=lon,lat=lat,corners=zones[zone],
savename='Zones_monthly/'+mm+zone+'NormYear.png',
titleplot=title,
colorlabel='Relative frequency to year max',
topvalue=maxv/year_maxvalue[zone])
## --- PLOT DATA USA YEARLY
USA_corners=[15,55,-125,-60]
fend=filend[1]
grib=folder[0:-1]+fend[1:]
data,lat,lon = extract_grib_data(grib)
print('year ',data.max())
title='Lightning intensity USA yearly'
figname='Yearly/USAyearly.png'
maxvalue = 3000
maxUSA = find_local_max(data,lat,lon,USA_corners)
plot_map(data=data,lon=lon,lat=lat,corners=USA_corners,
savename=figname,titleplot=title,topvalue=maxUSA)
dataN = data/maxUSA
plot_map(data=dataN,lon=lon,lat=lat,corners=USA_corners,
savename='Yearly/USAyearlyNORM.png',
titleplot='Normalized '+title,
colorlabel='Relative frequency',
topvalue=1.0)
## --- PLOT DATA USA MONTHLY
file_list = glob(folder+'??'+fend)
for grib in file_list:
cut1 = len(folder)
cut2 = len(fend)
mm = grib[cut1:-cut2]
print(mm)
data,lat,lon = extract_grib_data(grib)
figname='USA_monthly/USA'+mm+'.png'
title='Lightning intensity USA '+months[mm]
maxvalue = 900
maxv = find_local_max(data,lat,lon,USA_corners)
plot_map(data=data,lon=lon,lat=lat,corners=USA_corners,
savename=figname,titleplot=title,topvalue=maxv)
data_norm = data/maxv
plot_map(data=data_norm,lon=lon,lat=lat,corners=USA_corners,
savename='USA_monthly/USA'+mm+'NormMonth.png',
titleplot='Norm Month'+title,
colorlabel='Relative frequency',
topvalue=1.0)
data_nory = data/maxUSA
plot_map(data=data_nory,lon=lon,lat=lat,corners=USA_corners,
savename='USA_monthly/USA'+mm+'NormYear.png',
titleplot='Norm Year '+title,
colorlabel='Relative frequency',
topvalue=maxv/maxUSA)