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makegefscsv.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:
nmbtotal[:,j,i]=0.0
continue
elif j==1:
precip=grbs[69].values*.03937
precip=np.asarray(precip[::-1,:])
elif (j%2)==0:
grbsprev = 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-1]).zfill(3))
#for grb in grbsprev:
print(grbs[69])
precipnewc=grbs[69].values*.03937
precipnewc=np.asarray(precipnewc[::-1,:])
precipnewp=grbsprev[69].values*.03937
precipnewp=np.asarray(precipnewp[::-1,:])
precipnew=precipnewc-precipnewp
precip=precip+precipnew
else:
print(grbs[69])
precipnew=grbs[69].values*.03937
precipnew=np.asarray(precipnew[::-1,:])
precip=precip+precipnew
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]),5)
if j>0:
if nmbtotal[k,j-1,i]>znew:
nmbtotal[k,j-1,i]=znew
nmbtotal[k,j,i]=znew
else:
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))
if j==0:
nmbtotal[:,j,34]=0.0
continue
elif j==1:
#for grb in grbs:
precip=grbs[596].values*.03937
precip=np.asarray(precip[::-1,:])
elif (j%2)==0:
grbsprev = 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-1]).zfill(3))
precipnewc=grbs[596].values*.03937
precipnewc=np.asarray(precipnewc[::-1,:])
precipnewp=grbsprev[596].values*.03937
precipnewp=np.asarray(precipnewp[::-1,:])
precipnew=precipnewc-precipnewp
precip=precip+precipnew
else:
precipnew=grbs[596].values*.03937
precipnew=np.asarray(precipnew[::-1,:])
precip=precip+precipnew
lats,lons = grbs[31].latlons()
latlist=lats[::-1,0]
lonlist=lons[0,:]
lonlist=np.asarray(lonlist)
latlist=np.asarray(latlist)
f2=interpolate.interp2d(lonlist,latlist,precip,kind='linear')
for k in range(len(slats)):
znew=np.round(f2((360+slons[k]),slats[k]),5)
if j>0:
if nmbtotal[k,j-1,34]>znew:
nmbtotal[k,j-1,34]=znew
nmbtotal[k,j,34]=znew
else:
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])/31.0,5)
for k in range(len(slats)):
f = open("GEFS"+slist[k]+ymdh+"qpf.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()