y_season = np.empty((itime, 20, 72, 109))
y_season[:] = np.nan
for a, y in enumerate(ltime):
data_all, seaccum, monaccum, seamean, monmean, \
lats, lons = post.PostModel(fcst_month, ntrimetres[i], y,
model='RSM97')
# Faz o acumulado da estação
r = 31 * len(ntrimetres[i])
data_all = np.nansum(np.swapaxes(data_all, 1, 2) \
.reshape(r, 20, 72, 109), axis=0)
y_season[a, :] = data_all[:]
y_season = np.swapaxes(y_season, 0, 1)
# Usado no hindcast
# fname = 'pcp-seasonacc-rsm97-hind8110-{0}-8110-{1}.nc' \
# .format(fcst_month, tri.upper())
# writenc4(y_season, lats, lons, fname, itime)
# Usado no forecast
fname = 'pcp-seasonacc-rsm97-hind8110-{0}{2}_{2}{1}.nc' \
.format(fcst_month, tri.upper(), y)
writenc4(y_season, lats, lons, fname, itime)
# raw_input()
# -*- coding: utf-8 -*-
__author__ = "Marcelo Rodrigues"
__license__ = "GPL"
__version__ = "1.0"
__email__ = "*****@*****.**"
__date__ = "01/02/2016"
from nc4rsm97 import writenc4
from PyFuncemeClimateTools import PostPlevMonRSM97 as post
import numpy as np
namevar = "h"
t_mon = range(1, 9)
for y in range(1981, 2016):
lat, lon, mydata = post.PostModel(fcst_month="jan", target_months=t_mon, fcst_years=y, nvar=namevar)
mydata = np.swapaxes(mydata, 0, 1)
print mydata.shape
filename='{0}-1000hpa-mon-rsm97-hind8110-jan-{1}.nc'.format(namevar, y)
writenc4(mydata[:, :, 0, :, :], lat, lon, filename, len(t_mon), namevar)
from PyFuncemeClimateTools import PostModels as post
from nc4rsm97 import writenc4
fcst_month = 'jan' # MES DA PREVISAO
nyear = range(1981, 2017) # QTD DE ANOS
ntrimetres = range(1, 9)
itime = 31 * len(ntrimetres)
for year in nyear:
data_all, seaccum, monaccum, seamean, monmean, \
lats, lons = post.PostModel(fcst_month, ntrimetres, year,
model='RSM97')
# Faz o acumulado da estação
data_all = np.swapaxes(data_all, 1, 2).reshape(itime, 20, 72, 109)
# Remove valores nan
daily = data_all[~np.isnan(data_all[:, 0, 0, 0]), :, :, :]
daily = np.swapaxes(daily, 0, 1)
print daily.shape
# Usado no forecast
fname = 'pcp.daily.rsm97.hind8110.{0}{1}.{1}01-{1}08.nc' \
.format(fcst_month, year)
writenc4(daily, lats, lons, fname, daily.shape[1], year)
