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makegefsshearcsv.py
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makegefsshearcsv.py
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#!/bin/usr/env python
import pygrib
import csv
import datetime
import ncepy
import numpy as np
import matplotlib
import math
import subprocess
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from scipy import interpolate
import sys
ymdh = str(sys.argv[1])
slist=[]
slats=[]
slons=[]
with open('gfsxstations.txt','r') as f:
for row in f:
x=row.split(',')
slist.append(x[0])
slats.append(float(x[1]))
slons.append(float(x[2]))
members=['time','date','c00','p01','p02','p03','p04','p05','p06','p07','p08','p09','p10','p11','p12','p13','p14','p15','p16','p17','p18','p19','p20','p21','p22','p23','p24','p25','p26','p27','p28','p29','p30','GFS']
fhours=[]
preciptotal=[]
amount=1.0
fhour=60
closest=0 #starting range of forecast hour
furthest=195 #3 hours more than the actual ending forecast hour you want
ymd=ymdh[0:8]
year=int(ymdh[0:4])
month=int(ymdh[4:6])
day=int(ymdh[6:8])
hour=int(ymdh[8:10])
print(year, month , day, hour)
dtime=datetime.datetime(year,month,day,hour,0)
date_list = [dtime + datetime.timedelta(hours=x) for x in range(closest,furthest,3)]
firstdate=dtime - datetime.timedelta(hours=fhour)
fhours1=list(range(closest,furthest,3))
nmbtotal=np.empty((len(slist),len(fhours1),len(members)+1),dtype='object')
print(nmbtotal.shape)
for i in range(len(members)):
print(members[i])
ptotal=0
for j in range(len(fhours1)):
if i==0:
nmbtotal[:,j,i]=fhours1[j]
elif i==1:
nmbtotal[:,j,i]=date_list[j].strftime("%m-%d-%Y:%H")
elif i>1 and members[i]!='GFS':
grbs = pygrib.open('/gpfs/dell4/nco/ops/com/gefs/prod/gefs.'+str(ymd)+'/'+str(hour).zfill(2)+'/atmos/pgrb2ap5/ge'+members[i]+'.t'+str(hour).zfill(2)+'z.pgrb2a.0p50.f'+str(fhours1[j]).zfill(3))
#for grb in grbs:
if j==0:
uwind=grbs[66].values*1.94
vwind=grbs[67].values*1.94
uwind500=grbs[34].values*1.94
vwind500=grbs[35].values*1.94
precip=((uwind500-uwind)**2+(vwind500-vwind)**2)**.5
precip=np.asarray(precip[::-1,:])
elif j==1:
uwind=grbs[67].values*1.94
vwind=grbs[68].values*1.94
uwind500=grbs[34].values*1.94
vwind500=grbs[35].values*1.94
precip=((uwind500-uwind)**2+(vwind500-vwind)**2)**.5
precip=np.asarray(precip[::-1,:])
else:
uwind=grbs[67].values*1.94
vwind=grbs[68].values*1.94
uwind500=grbs[34].values*1.94
vwind500=grbs[35].values*1.94
precip=((uwind500-uwind)**2+(vwind500-vwind)**2)**.5
precip=np.asarray(precip[::-1,:])
lats,lons = grbs[31].latlons()
latlist=lats[::-1,0]
lonlist=lons[0,:]
lonlist=np.asarray(lonlist)
latlist=np.asarray(latlist)
f=interpolate.interp2d(lonlist,latlist,precip,kind='linear')
for k in range(len(slats)):
znew=np.round(f((360+slons[k]),slats[k]),3)
nmbtotal[k,j,i]=znew
else:
grbs = pygrib.open('/gpfs/dell1/nco/ops/com/gfs/prod/gfs.'+str(ymd)+'/'+str(hour).zfill(2)+'/atmos/gfs.t'+str(hour).zfill(2)+'z.pgrb2.0p50.f'+str(fhours1[j]).zfill(3))
#for grb in grbs:
if j==0:
uwind=grbs[585].values*1.94
vwind=grbs[586].values*1.94
uwind500=grbs[356].values*1.94
vwind500=grbs[357].values*1.94
precip=((uwind500-uwind)**2+(vwind500-vwind)**2)**.5
precip=np.asarray(precip[::-1,:])
elif j==1:
uwind=grbs[588].values*1.94
vwind=grbs[589].values*1.94
uwind500=grbs[356].values*1.94
vwind500=grbs[357].values*1.94
precip=((uwind500-uwind)**2+(vwind500-vwind)**2)**.5
precip=np.asarray(precip[::-1,:])
else:
uwind=grbs[588].values*1.94
vwind=grbs[589].values*1.94
uwind500=grbs[356].values*1.94
vwind500=grbs[357].values*1.94
precip=((uwind500-uwind)**2+(vwind500-vwind)**2)**.5
precip=np.asarray(precip[::-1,:])
lats,lons = grbs[31].latlons()
latlist=lats[::-1,0]
lonlist=lons[0,:]
lonlist=np.asarray(lonlist)
latlist=np.asarray(latlist)
f=interpolate.interp2d(lonlist,latlist,precip,kind='linear')
for k in range(len(slats)):
znew=np.round(f((360+slons[k]),slats[k]),3)
nmbtotal[k,j,34]=znew
for k in range(len(slats)):
for j in range(len(fhours1)):
nmbtotal[k,j,33]=np.round(np.sum(nmbtotal[k,j,2:33])/31.0,3)
for k in range(len(slats)):
f = open("GEFS"+slist[k]+ymdh+"shear.csv","wt")
try:
writer = csv.writer(f)
writer.writerow(('time','date','c0','p1','p2','p3','p4','p5','p6','p7','p8','p9','p10','p11','p12','p13','p14','p15','p16','p17','p18','p19','p20','p21','p22','p23','p24','p25','p26','p27','p28','p29','p30','mean','GFS'))
for i in range(nmbtotal.shape[1]):
writer.writerow((str(m).replace("[","")).replace("]","") for m in nmbtotal[k,i,:])
finally:
f.close()