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test2base.py
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test2base.py
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import pygrib
from mpl_toolkits.basemap import Basemap, cm, shiftgrid
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
import numpy as np
import os
import time
import pygrib
import datetime
utc = 0
# plot the diagram of 10m wind + 2m T + MSLPz
def plotWTP(file):
#read in files
grbs = pygrib.open('rawfile/' + file)
# extract data from grib file
Temperature = grbs.select(name='2 metre temperature')[0]
wind10m_u = grbs.select(name='10 metre U wind component')[0]
wind10m_v = grbs.select(name='10 metre V wind component')[0]
MSLP = grbs.select(name='MSLP (Eta model reduction)')[0]
# define longitude and latitude
lats, lons = Temperature.latlons()
lats = (lats.T)[0]
lons = lons[0]
# define the initial forecast hour
analysistime = Temperature.analDate
fcit = analysistime.timetuple() # time.struct_time
formatfcit = time.strftime('%Hz %m %d %Y', fcit) # formatted initial time
timestampfcit = time.mktime(fcit) # timestamp of initial time
fcst = Temperature.forecastTime # integer
formatvalid = time.strftime('%Hz %m %d %Y', time.localtime(timestampfcit + fcst * 60 * 60)) # formatted validtime
# extract each data
subT = Temperature.values - 273.15
subWU = wind10m_u.values
subWV = wind10m_v.values
subMSLP = MSLP.values / 100.0
# delete unnecessary variables
del Temperature
del wind10m_u
del wind10m_v
del MSLP
del grbs
# generatre basemap
m = Basemap(llcrnrlon=77,llcrnrlat=13,urcrnrlon=145,urcrnrlat=52,projection='lcc',lat_0=30, lon_0=105,resolution ='l',area_thresh=1)
lon, lat = np.meshgrid(lons, lats)
x, y = m(lon, lat)
fig = plt.figure(figsize=(10,7), dpi=100)
ax = plt.gca()
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('none')
ax.spines['bottom'].set_color('none')
ax.spines['top'].set_color('none')
# generate legend
TT = {'red': ((0, 246/255, 246/255),
(20/110, 241/255, 241/255),#CDG-81
(35/110, 188/255, 188/255),#CMG-80.9
(40/110, 123/255, 123/255),#CMG-76
(45/110, 183/255, 183/255),#LG-63.9
(50/110, 76/255, 76/255),#LG-54
(55/110, 44/255, 44/255),#MG-53.9
(599/1100, 4/255, 4/255),#MG-42
(60/110, 109/255, 109/255),#DG-41.9
(67/110, 21/255, 21/255),#DG-31
(75/110, 253/255, 253/255),#OW-30.9
(85/110, 191/255, 191/255),#OW+9
(90/110, 159/255, 159/255),#WMG+9
(100/110, 246/255, 246/255),#WMG+9
(105/110, 118/255, 118/255),#WMG+9
(1.0, 145/255, 145/255)),
'green':((0, 183/255, 183/255),
(20/110, 18/255, 18/255),#CDG-81
(35/110, 114/255, 114/255),#CMG-80.9
(40/110, 81/255, 81/255),#CMG-76
(45/110, 184/255, 184/255),#LG-63.9
(50/110, 73/255, 73/255),#LG-54
(55/110, 144/255, 144/255),#MG-53.9
(599/1100, 255/255, 255/255),#MG-42
(60/110, 231/255, 231/255),#DG-41.9
(67/110, 167/255, 167/255),#DG-31
(75/110, 235/255, 235/255),#OW-30.9
(85/110, 31/255, 31/255),#OW+9
(90/110, 32/255, 32/255),#WMG+9
(100/110, 183/255, 183/255),#WMG+9
(105/110, 114/255, 114/255),#WMG+9
(1.0, 40/255, 40/255)),
'blue': ((0, 244/255, 244/255),
(20/110, 134/255, 134/255),#CDG-81
(35/110, 199/255, 199/255),#CMG-80.9
(40/110, 169/255, 169/255),#CMG-76
(45/110, 226/255, 226/255),#LG-63.9
(50/110, 182/255, 182/255),#LG-54
(55/110, 254/255, 254/255),#MG-53.9
(599/1100, 255/255, 255/255),#MG-42
(60/110, 153/255, 153/255),#DG-41.9
(67/110, 31/255, 31/255),#DG-31
(75/110, 118/255, 118/255),#OW-30.9
(85/110, 17/255, 17/255),#OW+9
(90/110, 51/255, 51/255),#WMG+9
(100/110, 244/255, 244/255),#WMG+9
(105/110, 199/255, 199/255),#WMG+9
(1.0, 139/255, 139/255))}
my_cmap = mpl.colors.LinearSegmentedColormap('my_colormap',TT,256)
norm=mpl.colors.Normalize(-60, 50)
#c=plt.contourf(x, y, rt, 750, cmap=my_cmap, norm=norm)
m.contourf(x, y, subT, 110, cmap=my_cmap, norm=norm)#,norm=norm cmaps.temp_19lev NCV_jaisnd
d=m.contour(x, y, subT, 110, colors = 'red', linewidths=0.6, levels=0)
d1=m.contour(x, y, subMSLP, 70, colors = 'whitesmoke', linewidths=0.5)#, alpha=0.6
plt.clabel(d, inline = True, fmt='%.0f', fontsize=2)
plt.clabel(d1, inline = True, fmt='%.0f', colors='whitesmoke', fontsize=2)#alpha=0.6,
skip=slice(None,None,5)
#m.streamplot(x, y, u, v, linewidth=0.25, density=4, color='black', arrowsize=0.4, arrowstyle='->')
m.barbs(x[skip,skip], y[skip,skip], subWU[skip,skip], subWV[skip,skip], length=3.5,
sizes=dict(emptybarb=0, spacing=0.2, height=0.5),barb_increments=dict(half=2, full=4, flag=20 ),
linewidth=0.2, color='black')
plt.title('GFS 10m Wind & 2m Air Temperature & MSLP\nlnit:' + formatfcit + ' Forecast Hour[' + str(fcst) + '] valid at ' + formatvalid + '\n@myyd & Louis-He',
loc='left', fontsize=11)
m.drawparallels(np.arange(0, 65, 10), labels=[1,0,0,0], fontsize=8, linewidth=0.5,color='dimgrey',dashes=[1,1])
m.drawmeridians(np.arange(65., 180., 10), labels=[0,0,0,1], fontsize=8, linewidth=0.5,color='dimgrey',dashes=[1,1])
m.drawcoastlines(linewidth=0.5)
m.drawstates(linewidth=0.4,color='dimgrey')
#m.readshapefile('D:\\shp\\provinces', 'states', drawbounds=True, linewidth=0.5, color='black')
ax2 = fig.add_axes([0.88, 0.11, 0.018, 0.77])
cbar=mpl.colorbar.ColorbarBase(ax2, cmap=my_cmap, norm=norm, orientation='vertical', drawedges=False)
cbar.set_ticks(np.linspace(-60,50,23))
cbar.ax.set_ylabel('Temperature(℃)', size=8)#Temperature(℃)
cbar.ax.tick_params(labelsize=8)
#Temperature(℃)
#GFS 10m Wind and 2m Air Temperature\nlnit:00z Nov 04 2017 Forecast Hour[36] valid at 12z Sun,Nov 05 2017 6-hour #ERA Interim 850hpa Wind speed and Temperature & 500hpa Geopotential Height#Streamlines
plt.savefig('product/WTP/' + file + '.png', bbox_inches='tight')
# delete plot for memory
del fig
plt.cla
plt.clf()
plt.close(0)
del subMSLP, subWU, subWV, subT, m, lon, lat, lons, lats, TT, my_cmap, norm, d, d1, cbar, ax, ax2, x, y, skip, analysistime, fcit, formatfcit, timestampfcit, fcst, formatvalid
# run at the beginning of the program
def initialize():
os.system('rm -rf product/')
print('['+time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time() + utc * 60 * 60))+']'+'Erase expired product')
os.system('mkdir product')
os.system('mkdir product/WTP')
print('[' + time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time() + utc * 60 * 60)) + ']' + 'Create product folder')
f = open('/root/GFS/sysreport/plotreport.txt', 'w+')
f.close()
print('[' + time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time() + utc * 60 * 60)) + ']' + 'Create system report file...')
f = open('/root/GFS/sysreport/errreport.txt', 'w+')
f.close()
print('[' + time.strftime('%Y-%m-%d %H:%M:%S',
time.localtime(time.time() + utc * 60 * 60)) + ']' + 'Create system error report file...')
print('[' + time.strftime('%Y-%m-%d %H:%M:%S',
time.localtime(time.time() + utc * 60 * 60)) + ']' + 'Start to plot...')
initialize()
path = 'rawfile/'
files= os.listdir(path)
print(files)
for file in files:
if file[0:3] == 'gfs':
try:
plotWTP(file)
print('[Compele Plotting] File:' + file)
f = open('/root/GFS/sysreport/plotreport.txt', 'a+')
f.write('[' + time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time() + utc * 60 * 60)) + ']' + '\t' +
file + ' PLOT SUCCESS\n')
f.close()
del f
except:
print('[ERR:unknown] File:' + file)
f = open('/root/GFS/sysreport/plotreport.txt', 'a+')
f.write('[' + time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time() + utc * 60 * 60)) + ']' + '\t' +
file + ' PLOT FAILED! PLEASE CHECK\n')
f.close()
f = open('/root/GFS/sysreport/errreport.txt', 'a+')
f.write('[' + time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time() + utc * 60 * 60)) + ']' + '\t' +
file + ' PLOT FAILED! PLEASE CHECK!\n')
f.close()
del f