def __test():
"""
Test "model()" with a benchmark dataset.
"""
# Init x and y wind components
x_wind = zeros((3,12,10))
y_wind = zeros((3,12,10))
# Upper left corner blows from N with "Stiv kuling"
y_wind[:,6:12,0:5] = -14.0
# Upper right corner blows from SE with "Orkan"
x_wind[:,6:12,5:10] = -32.0
y_wind[:,6:12,5:10] = 32.0
# Lower left corner blows from W with "Svak wind"
x_wind[:,0:6,0:5] = 2.0
# Lower right corner blows from NW with "Full storm"
x_wind[:,0:6,5:10] = 20.0
y_wind[:,0:6,5:10] = -20.0
total_wind_avg, max_wind, wind_dir_cat = model(x_wind, y_wind)
print total_wind_avg.shape, max_wind.shape, wind_dir_cat.shape
total_wind_avg = nan2fill(total_wind_avg)
max_wind = nan2fill(max_wind)
wind_dir_cat = nan2fill(wind_dir_cat)
testdir = r'Z:\tmp\wind_10m_daily'
writePNG(total_wind_avg, os.path.join(testdir, 'test_avg'),
os.path.join(testdir, 'avg_wind_speed_10_no.clt'))
writePNG(max_wind, os.path.join(testdir, 'test_max'),
os.path.join(testdir, 'max_wind_speed_10_no.clt'))
writePNG(wind_dir_cat, os.path.join(testdir, 'test_dir'),
os.path.join(testdir, 'wind_direction_10_no.clt'))
def main():
"""
Loads and verifies input data, calls the model, and controls the output stream.
Command line usage::
python //~HOME/pysenorge/themes/wind_10m_daily.py YYYY-MM-DD [options]
"""
# Theme variables
themedir1 = 'wind_speed_avg_10m'
themedir2 = 'wind_speed_max_10m'
# Setup input parser
usage = "usage: python //~HOME/pysenorge/theme_layers/average_windspeed_daily.py YYYY-MM-DD [options]"
parser = OptionParser(usage=usage)
parser.add_option("-t", "--timerange",
action="store", dest="timerange", type="string",
default="[7,31]",
help='''Time-range as "[6,30]"''')
parser.add_option("--no-bil",
action="store_false", dest="bil", default=True,
help="Set to suppress output in BIL format")
parser.add_option("--nc",
action="store_true", dest="nc", default=False,
help="Set to store output in netCDF format")
parser.add_option("--png",
action="store_true", dest="png", default=False,
help="Set to store output as PNG image")
# Comment to suppress help
# parser.print_help()
(options, args) = parser.parse_args()
# Verify input parameters
if len(args) != 1:
parser.error("Please provide the date in ISO format YYYY-MM-DD!")
parser.print_help()
# get current datetime
cdt = iso2datetime(args[0]+" 06:00:00")
ncfilename = "UM4_sf00_%s.nc" % datetime2BILdate(cdt-timedelta(days=1))
if len(args) != 1:
parser.error("Please provide an input file!")
else:
# Add full path to the filename
ncfile = os.path.join(netCDFin, str(cdt.year), ncfilename)
timerange = eval(options.timerange)
print 'Time-range', timerange
if not os.path.exists(ncfile):
parser.error("%s does not exist!" % ncfile)
else:
if timerange == None:
# Load wind data from prognosis (netCDF file) for entire time-range
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][:]
x_wind = ds.variables['x_wind'][:,:,:]
y_wind = ds.variables['y_wind'][:,:,:]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
else:
# Load wind data from prognosis (netCDF file) for selected time-range
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][timerange[0]:timerange[1]]
x_wind = ds.variables['x_wind'][timerange[0]:timerange[1],:,:]
y_wind = ds.variables['y_wind'][timerange[0]:timerange[1],:,:]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
# from netCDF4 import num2date
# for t in wind_time:
# print num2date(t, "seconds since 1970-01-01 00:00:00 +00:00")
print "Using input data from file %s" % ncfilename
# Setup outputs
_tstart = time.gmtime(wind_time[0])
tstruct = time.gmtime(wind_time[-1]) # or -1 if it should be the average until that date
print "For the period %s-%s-%s:%s - %s-%s-%s:%s" % (str(_tstart.tm_year).zfill(4),
str(_tstart.tm_mon).zfill(2),
str(_tstart.tm_mday).zfill(2),
str(_tstart.tm_hour).zfill(2),
str(tstruct.tm_year).zfill(4),
str(tstruct.tm_mon).zfill(2),
str(tstruct.tm_mday).zfill(2),
str(tstruct.tm_hour).zfill(2))
outfile1 = '%s_%s_%s_%s' % (themedir1, str(tstruct.tm_year).zfill(4),
str(tstruct.tm_mon).zfill(2),
str(tstruct.tm_mday).zfill(2))
outfile2 = '%s_%s_%s_%s' % (themedir2, str(tstruct.tm_year).zfill(4),
str(tstruct.tm_mon).zfill(2),
str(tstruct.tm_mday).zfill(2))
outdir1 = os.path.join(BILout, themedir1, str(get_hydroyear(cdt)))
if not os.path.exists(outdir1):
if not os.path.exists(os.path.join(BILout, themedir1)):
os.chdir(BILout)
os.system('mkdir %s' % themedir1)
os.chdir(os.path.join(BILout, themedir1))
os.system('mkdir %s' % str(get_hydroyear(cdt)))
outdir2 = os.path.join(BILout, themedir2, str(get_hydroyear(cdt)))
if not os.path.exists(outdir2):
if not os.path.exists(os.path.join(BILout, themedir2)):
os.chdir(BILout)
os.system('mkdir %s' % themedir2)
os.chdir(os.path.join(BILout, themedir2))
os.system('mkdir %s' % str(get_hydroyear(cdt)))
# Calculate the wind speed vector - using model()
total_wind_avg, max_wind, wind_dir = model(x_wind, y_wind)
# interpolate total average wind speed to seNorge grid
total_wind_avg_intp = interpolate(rlon, rlat, total_wind_avg)
max_wind_intp = interpolate(rlon, rlat, max_wind)
wind_dir_intp = interpolate(rlon, rlat, wind_dir)
# Replace NaN values with the appropriate FillValue
total_wind_avg_intp = nan2fill(total_wind_avg_intp)
max_wind_intp = nan2fill(max_wind_intp)
wind_dir_intp = nan2fill(wind_dir_intp)
if options.bil:
from pysenorge.grid import senorge_mask
mask = senorge_mask()
# Write to BIL file
# avg wind
bil_avg_wind = flipud(uint16(total_wind_avg_intp*10.0))
bil_avg_wind[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir1,
outfile1+'.bil'),
datatype='uint16')
biltext = bilfile.write(bil_avg_wind.flatten()) # collapsed into one dimension
print biltext
# max wind
bil_max_wind = flipud(uint16(max_wind_intp*10.0))
bil_max_wind[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir2,
outfile2+'.bil'),
datatype='uint16')
biltext = bilfile.write(bil_max_wind.flatten())
print biltext
# # wind direction
# bil_dir_wind = flipud(uint16(wind_dir_intp))
# bil_dir_wind[mask] = UintFillValue
# bilfile = BILdata(os.path.join(outdir,
## 'wind_direction_10m'+'_'+dtstr+'.bil'),
# outfile+'.bil'),
# datatype='uint16')
# biltext = bilfile.write(bil_dir_wind.flatten())
# print biltext
if options.nc:
# Write to NC file
ncfile = NCdata(os.path.join(outdir1, outfile1+'.nc'))
# ncfile.rootgrp.info = themename
ncfile.new(wind_time[-1])
ncfile.add_variable('avg_wind_speed', total_wind_avg.dtype.str, "m s-1",
'Average wind speed last 24h', total_wind_avg_intp)
ncfile.add_variable('max_wind_speed', max_wind.dtype.str, "m s-1",
'Maximum wind gust last 24h', max_wind_intp)
ncfile.add_variable('wind_direction', wind_dir.dtype.str,
"cardinal direction",
'Prevailing wind direction last 24h', wind_dir_intp)
ncfile.close()
if options.png:
# Write to PNG file
writePNG(total_wind_avg_intp[0,:,:],
os.path.join(outdir1, outfile1),
cltfile=r"Z:\tmp\wind_10m_daily\avg_wind_speed_10_no.clt"
)
writePNG(max_wind_intp[0,:,:],
os.path.join(outdir2, outfile2),
cltfile=r"Z:\tmp\wind_10m_daily\max_wind_speed_10_no.clt"
)
# writePNG(wind_dir_intp[0,:,:],
# os.path.join(outdir, 'wind_direction'+'_'+dt),
# cltfile=r"Z:\tmp\wind_10m_daily\wind_direction_10_no.clt"
# )
# At last - cross fingers it all worked out!
print "\n*** Finished successfully ***\n"
def main():
# Theme variables
themedir = 'awsd'
themename = 'Average wind speed 24h'
# Setup input parser
usage = "usage: python //~HOME/pysenorge/theme_layers/average_windspeed_daily.py YYYY-MM-DD [options]"
parser = OptionParser(usage=usage)
parser.add_option(
"-o",
"--outdir",
action="store",
dest="outdir",
type="string",
default=os.path.join(netCDFout, themedir),
help="Output directory for netCDF file - default: $netCDFout/%s/$YEAR"
% themedir)
parser.add_option("-t",
"--timerange",
action="store",
dest="timerange",
type="string",
default="None",
help='''Time-range as "[6,30]"''')
# Comment to suppress help
parser.print_help()
(options, args) = parser.parse_args()
# Verify input parameters
if len(args) != 1:
parser.error("Please provide the date in ISO format YYYY-MM-DD!")
parser.print_help()
# get current datetime
cdt = iso2datetime(args[0] + " 06:00:00")
ncfilename = "UM4_sf_%s.nc" % datetime2BILdate(
cdt) # e.g. UM4_sf_2010_11_28.nc
if len(args) != 1:
parser.error("Please provide an input file!")
else:
# Add full path to the filename
ncfile = os.path.join(netCDFin, str(cdt.year), ncfilename)
timerange = eval(options.timerange)
if not os.path.exists(ncfile):
parser.error("%s does not exist!" % ncfile)
else:
if timerange == None:
# Load wind data from prognosis (netCDF file) for full timerange
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][:]
x_wind = ds.variables['x_wind'][:, :, :]
y_wind = ds.variables['y_wind'][:, :, :]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
print "xwind-shape", x_wind.shape
else:
# Load wind data from prognosis (netCDF file) for selected timerange
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][timerange[0]:timerange[1]]
x_wind = ds.variables['x_wind'][timerange[0]:timerange[1], :, :]
y_wind = ds.variables['y_wind'][timerange[0]:timerange[1], :, :]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
print "xwind-shape", x_wind.shape
# Setup outputs
tstruct = time.gmtime(
wind_time[-1]) # or -1 if it should be the average until that date
outfile = '%s_%s_%s_%s' % (themedir, str(
tstruct.tm_year).zfill(4), str(
tstruct.tm_mon).zfill(2), str(tstruct.tm_mday).zfill(2))
outdir = os.path.join(options.outdir, str(cdt.year))
if not os.path.exists(outdir):
if not os.path.exists(options.outdir):
os.chdir(netCDFout)
os.system('mkdir %s' % themedir)
os.chdir(options.outdir)
os.system('mkdir %s' % str(cdt.year))
# Calculate the wind speed vector - using model()
total_wind = model(x_wind, y_wind)
# average over 24h
total_wind_avg = mean(total_wind, axis=0)
# interpolate total average wind speed to seNorge grid
total_wind_avg_intp = interpolate(rlon, rlat, total_wind_avg)
# Replace NaN values with the appropriate FillValue
total_wind_avg_intp = nan2fill(total_wind_avg_intp)
# Write to NC file
ncfile = NCdata(os.path.join(outdir, outfile + '.nc'))
ncfile.new(wind_time[0])
ncfile.add_variable(themedir, total_wind_avg.dtype.str, "m s-1", themename,
total_wind_avg_intp)
ncfile.close()
# At last - cross fingers it all worked out!
print "\n*** Finished successfully ***\n"
def main():
# Theme variables
themedir = 'awsd'
themename = 'Average wind speed 24h'
# Setup input parser
usage = "usage: python //~HOME/pysenorge/theme_layers/average_windspeed_daily.py YYYY-MM-DD [options]"
parser = OptionParser(usage=usage)
parser.add_option("-o", "--outdir",
action="store", dest="outdir", type="string",
default=os.path.join(netCDFout, themedir),
help="Output directory for netCDF file - default: $netCDFout/%s/$YEAR" % themedir)
parser.add_option("-t", "--timerange",
action="store", dest="timerange", type="string",
default="None",
help='''Time-range as "[6,30]"''')
# Comment to suppress help
parser.print_help()
(options, args) = parser.parse_args()
# Verify input parameters
if len(args) != 1:
parser.error("Please provide the date in ISO format YYYY-MM-DD!")
parser.print_help()
# get current datetime
cdt = iso2datetime(args[0]+" 06:00:00")
ncfilename = "UM4_sf_%s.nc" % datetime2BILdate(cdt) # e.g. UM4_sf_2010_11_28.nc
if len(args) != 1:
parser.error("Please provide an input file!")
else:
# Add full path to the filename
ncfile = os.path.join(netCDFin, str(cdt.year), ncfilename)
timerange = eval(options.timerange)
if not os.path.exists(ncfile):
parser.error("%s does not exist!" % ncfile)
else:
if timerange == None:
# Load wind data from prognosis (netCDF file) for full timerange
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][:]
x_wind = ds.variables['x_wind'][:,:,:]
y_wind = ds.variables['y_wind'][:,:,:]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
print "xwind-shape", x_wind.shape
else:
# Load wind data from prognosis (netCDF file) for selected timerange
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][timerange[0]:timerange[1]]
x_wind = ds.variables['x_wind'][timerange[0]:timerange[1],:,:]
y_wind = ds.variables['y_wind'][timerange[0]:timerange[1],:,:]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
print "xwind-shape", x_wind.shape
# Setup outputs
tstruct = time.gmtime(wind_time[-1]) # or -1 if it should be the average until that date
outfile = '%s_%s_%s_%s' % (themedir, str(tstruct.tm_year).zfill(4),
str(tstruct.tm_mon).zfill(2),
str(tstruct.tm_mday).zfill(2))
outdir = os.path.join(options.outdir, str(cdt.year))
if not os.path.exists(outdir):
if not os.path.exists(options.outdir):
os.chdir(netCDFout)
os.system('mkdir %s' % themedir)
os.chdir(options.outdir)
os.system('mkdir %s' % str(cdt.year))
# Calculate the wind speed vector - using model()
total_wind = model(x_wind, y_wind)
# average over 24h
total_wind_avg = mean(total_wind, axis=0)
# interpolate total average wind speed to seNorge grid
total_wind_avg_intp = interpolate(rlon, rlat, total_wind_avg)
# Replace NaN values with the appropriate FillValue
total_wind_avg_intp = nan2fill(total_wind_avg_intp)
# Write to NC file
ncfile = NCdata(os.path.join(outdir, outfile+'.nc'))
ncfile.new(wind_time[0])
ncfile.add_variable(themedir, total_wind_avg.dtype.str, "m s-1", themename, total_wind_avg_intp)
ncfile.close()
# At last - cross fingers it all worked out!
print "\n*** Finished successfully ***\n"
def main():
"""
Loads and verifies input data, calls the model, and controls the output stream.
"""
# Theme variables
themedir1 = 'wind_speed_avg_1500m'
themedir2 = 'wind_speed_max_1500m'
today = datetime.date.today().strftime("%Y_%m_%d")
tomorrow = (datetime.date.today() +
datetime.timedelta(days=1)).strftime("%Y_%m_%d")
# Setup input parser
usage = "usage: python //~HOME/pysenorge/theme_layers/ \
average_windspeed_daily.py YYYY-MM-DD NC-File-Describtion [options]"
#---------------------------------------------------------
#add options with parser module
parser = OptionParser(usage=usage)
#create no bil
parser.add_option("--no-bil",
action="store_false",
dest="bil",
default=True,
help="Set to suppress output in BIL format")
#create netCDF
parser.add_option("--nc",
action="store_true",
dest="nc",
default=False,
help="Set to store output in netCDF format")
#create png
parser.add_option("--png",
action="store_true",
dest="png",
default=False,
help="Set to store output as PNG image")
# Comment to suppress help
# parser.print_help()
(options, args) = parser.parse_args()
# Verify input parameters
if len(args) != 2:
parser.error(
"Please provide the date in ISO format YYYY-MM-DD and the timenc!")
parser.print_help()
#Select which date
yr = str(args[0].split("-")[0])
mon = str(args[0].split("-")[1])
day = str(args[0].split("-")[2])
#Select which nc-file
timearg = args[1]
load_date = "%s_%s_%s" % (yr, mon, day)
ncfilename = "AROME_WIND_850_NVE_%s_%s.nc" % (timearg, load_date)
ncfile = os.path.join(netCDFin, "2013", ncfilename)
#Test if path of the netCDF file exists
if not os.path.exists(ncfile):
parser.error("%s does not exist!" % ncfile)
else:
# Load wind data from prognosis (netCDF file) for entire time-range
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][:]
x_wind = ds.variables['x_wind_850hpa'][:, :, :]
y_wind = ds.variables['y_wind_850hpa'][:, :, :]
ds.close()
print "Using input data from file %s" % ncfile
#Get timenc and control if the time is right
ob_time = time.strftime("%H", time.gmtime(wind_time[0]))
data_timenc = _time_fun(ob_time)
if timearg == data_timenc:
pass
else:
print "The given input parameter and time value of the netCDF are not the same"
timenc = data_timenc
#---------------------------------------------------------
#Output paths, output filenames and timerange
begin_time = time.strftime("%d-%m-%Y-%H:%M:%S", time.gmtime(wind_time[0]))
end_time = time.strftime("%d-%m-%Y-%H:%M:%S", time.gmtime(wind_time[24]))
print "For the period from the", begin_time, "to", end_time
outfile1 = '%s_%s' % (themedir1, today)
outfile2 = '%s_%s' % (themedir2, today)
cdt = iso2datetime(args[0] + " 06:00:00")
#---------------------------------------------------------
#Output path 1
outdir1 = os.path.join(BILout, themedir1, str(get_hydroyear(cdt)))
if not os.path.exists(outdir1):
if not os.path.exists(os.path.join(BILout, themedir1)):
os.chdir(BILout)
os.system('mkdir %s' % themedir1)
os.chdir(os.path.join(BILout, themedir1))
os.system('mkdir %s' % str(get_hydroyear(cdt)))
#Output path 2
outdir2 = os.path.join(BILout, themedir2, str(get_hydroyear(cdt)))
if not os.path.exists(outdir2):
if not os.path.exists(os.path.join(BILout, themedir2)):
os.chdir(BILout)
os.system('mkdir %s' % themedir2)
os.chdir(os.path.join(BILout, themedir2))
os.system('mkdir %s' % str(get_hydroyear(cdt)))
#Output path for wind_00 til wind _18
if timenc == "00":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date,
"00")
elif timenc == "06":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date,
"06")
elif timenc == "12":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date,
"12")
elif timenc == "18":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date,
"18")
if not os.path.exists(outdir_hour):
if not os.path.exists(os.path.join(BILout, str(get_hydroyear(cdt)))):
os.chdir(BILout)
os.system('mkdir %s' % str(get_hydroyear(cdt)))
os.chdir(os.path.join(BILout, str(get_hydroyear(cdt))))
os.makedirs('%s/%s/' % (load_date, timenc))
#---------------------------------------------------------
# Calculate the wind speed vector - using model()
total_wind_avg, max_wind, total_wind, wind_dir_cat, \
hour_wind = model(x_wind, y_wind)
# interpolate total average wind speed to seNorge grid
total_wind_avg_intp = interpolate_new(total_wind_avg)
max_wind_intp = interpolate_new(max_wind)
wind_dir_intp = interpolate_new(wind_dir_cat)
#dom_wind_tab_intp = interpolate_new(dom_wind_tab)
# Replace NaN values with the appropriate FillValue
total_wind_avg_intp = nan2fill(total_wind_avg_intp)
max_wind_intp = nan2fill(max_wind_intp)
wind_dir_intp = nan2fill(wind_dir_intp)
#dom_wind_tab_intp = nan2fill(dom_wind_tab_intp)
#--------------------------------------------------------
#Hourly wind forecast based on the recent AROME input file
if timenc == "18":
#at 01:00
wind_18 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[0, :, :])
#at 07:00
wind_00 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[6, :, :])
#at 13:00
wind_06 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[12, :, :])
#at 19:00
wind_12 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_18_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_00_1500m", today)
outfile5 = '%s_%s' % ("wind_speed_06_1500m", today)
outfile6 = '%s_%s' % ("wind_speed_12_1500m", today)
elif timenc == "00":
#at 07:00
wind_00 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[0, :, :])
#at 13:00
wind_06 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[6, :, :])
#at 19:00
wind_12 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[12, :, :])
#next day at 01:00
wind_18 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_00_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_06_1500m", today)
outfile5 = '%s_%s' % ("wind_speed_12_1500m", today)
outfile6 = '%s_%s' % ("wind_speed_18_1500m", tomorrow)
elif timenc == "06":
#at 13:00
wind_06 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[0, :, :])
#at 19:00
wind_12 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[6, :, :])
#next day 01:00
wind_18 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[12, :, :])
#next day 07:00
wind_00 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_06_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_12_1500m", today)
outfile5 = '%s_%s' % ("wind_speed_18_1500m", tomorrow)
outfile6 = '%s_%s' % ("wind_speed_00_1500m", tomorrow)
elif timenc == "12":
#at 19:00
wind_12 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[0, :, :])
#next day 01:00
wind_18 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[6, :, :])
#next day 07:00
wind_00 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[12, :, :])
#next day 13:00
wind_06 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_12_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_18_1500m", tomorrow)
outfile5 = '%s_%s' % ("wind_speed_00_1500m", tomorrow)
outfile6 = '%s_%s' % ("wind_speed_06_1500m", tomorrow)
#---------------------------------------------------------
#Option --bil: Multiplied by 10 to store data as integer
if options.bil:
from pysenorge.grid import senorge_mask
mask = senorge_mask()
#Avg wind
bil_avg_wind = flipud(uint16(total_wind_avg_intp * 10.0))
bil_avg_wind[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir1, outfile1 + '.bil'),
datatype='uint16')
#Colapse into one dimension
biltext = bilfile.write(bil_avg_wind.flatten())
print biltext
# Max wind
bil_max_wind = flipud(uint16(max_wind_intp * 10.0))
bil_max_wind[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir2, outfile2 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_max_wind.flatten())
print biltext
# bil wind at 00
bil_wind_00 = flipud(uint16(wind_00 * 10.0))
bil_wind_00[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour, outfile3 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_00.flatten())
print biltext
# bil wind at 06
bil_wind_06 = flipud(uint16(wind_06 * 10.0))
bil_wind_06[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour, outfile4 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_06.flatten())
print biltext
#bil wind at 12
bil_wind_12 = flipud(uint16(wind_12 * 10.0))
bil_wind_12[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour, outfile5 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_12.flatten())
print biltext
#bil wind at 18
bil_wind_18 = flipud(uint16(wind_18 * 10.0))
bil_wind_18[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour, outfile6 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_18.flatten())
print biltext
#---------------------------------------------------------
#Option --nc: write a nc file
if options.nc:
ncfile = NCdata(os.path.join(outdir1, outfile1 + '.nc'))
ncfile.new(wind_time[-1])
ncfile.add_variable('avg_wind_speed', total_wind_avg.dtype.str,
"m s-1", 'Average wind speed last 24h',
total_wind_avg_intp)
ncfile.add_variable('max_wind_speed', max_wind.dtype.str, "m s-1",
'Maximum wind gust last 24h', max_wind_intp)
ncfile.add_variable('wind_direction', wind_dir_cat.dtype.str,
"cardinal direction",
'Prevailing wind direction last 24h',
wind_dir_intp)
ncfile.add_variable('wind_00', wind_00.dtype.str, "m s-1",
'Wind forecast 01:00', wind_00)
ncfile.add_variable('wind_06', wind_06.dtype.str, "m s-1",
'Wind forecast 07:00', wind_06)
ncfile.add_variable('wind_12', wind_12.dtype.str, "m s-1",
'Wind forecast 13:00', wind_12)
ncfile.add_variable('wind_18', wind_18.dtype.str, "m s-1",
'Wind forecast 19:00', wind_18)
ncfile.close()
#---------------------------------------------------------
#Option --png: Write a PNG files
if options.png:
avg_clt_file_path = "/home/ralf/Dokumente/summerjob/data/avg_wind_speed_10_no.clt"
max_clt_file_path = "/home/ralf/Dokumente/summerjob/data/max_wind_speed_10_no.clt"
direction_clt_file_path = "/home/ralf/Dokumente/summerjob/data/wind_direction_10_no.clt"
#Creates png file wind average
writePNG(total_wind_avg_intp[:, :],
os.path.join(outdir1, outfile1),
cltfile=avg_clt_file_path)
#Creates png file wind max
writePNG(max_wind_intp[:, :],
os.path.join(outdir2, outfile2),
cltfile=max_clt_file_path)
#Hourly wind speed maps
writePNG(wind_00,
os.path.join(outdir_hour, outfile3),
cltfile=avg_clt_file_path)
writePNG(wind_06,
os.path.join(outdir_hour, outfile4),
cltfile=avg_clt_file_path)
writePNG(wind_12,
os.path.join(outdir_hour, outfile5),
cltfile=avg_clt_file_path)
writePNG(wind_18,
os.path.join(outdir_hour, outfile6),
cltfile=avg_clt_file_path)
#Wind direction
writePNG(wind_dir_intp[:, :],
os.path.join(outdir1, 'wind_direction'),
cltfile=direction_clt_file_path)
#Hourly wind directions
writePNG(hour_wind_intp_00[:, :],
os.path.join(outdir1, 'wind_direction_hour_00'),
cltfile=direction_clt_file_path)
writePNG(hour_wind_intp_06[:, :],
os.path.join(outdir1, 'wind_direction_hour_06'),
cltfile=direction_clt_file_path)
writePNG(hour_wind_intp_12[:, :],
os.path.join(outdir1, 'wind_direction_hour_12'),
cltfile=direction_clt_file_path)
writePNG(hour_wind_intp_18[:, :],
os.path.join(outdir1, 'wind_direction_hour_18'),
cltfile=direction_clt_file_path)
#Maximal dominate wind speed
#writePNG(dom_wind_tab_intp[:, :],
# os.path.join(outdir1, today, 'wind_direction_dom_wind_tab'),
# cltfile=direction_clt_file_path
# )
# At last - cross fingers* it all worked out! *and toes !!!
print "\n***Finished successfully***\n"
def main():
# Theme variables
themedir = 'net_radiative_flux'
themename = 'Daily avg. net radiation flux'
# Setup input parser
usage = "usage: python //~HOME/pysenorge/theme_layers/net_radiative_flux.py YYYY-MM-DD [options]"
parser = OptionParser(usage=usage)
parser.add_option("-t", "--timerange",
action="store", dest="timerange", type="string",
default="[7,31]",
help='''Time-range as "[7,31]"''')
parser.add_option("--no-bil",
action="store_false", dest="bil", default=True,
help="Set to suppress output in BIL format")
parser.add_option("--nc",
action="store_true", dest="nc", default=False,
help="Set to store output in netCDF format")
parser.add_option("--png",
action="store_true", dest="png", default=False,
help="Set to store output as PNG image")
# Comment to suppress help
# parser.print_help()
(options, args) = parser.parse_args()
# Verify input parameters
if len(args) != 1:
parser.error("Please provide the date in ISO format YYYY-MM-DD!")
parser.print_help()
# get current datetime
cdt = iso2datetime(args[0]+" 06:00:00")
ncfilename = "UM4_sf00_%s.nc" % datetime2BILdate(cdt)
if len(args) != 1:
parser.error("Please provide an input file!")
else:
# Add full path to the filename
ncfile = os.path.join(netCDFin, str(cdt.year), ncfilename)
timerange = eval(options.timerange)
if not os.path.exists(ncfile):
parser.error("%s does not exist!" % ncfile)
else:
if timerange == None:
# Load wind data from prognosis (netCDF file) for entire time-range
ds = Dataset(ncfile, 'r')
_time = ds.variables['time'][:]
SWnet = ds.variables['net_sw_surface'][:,:,:]
LWnet = ds.variables['net_lw_surface'][:,:,:]
Hs = ds.variables['sensible_heat_surface'][:,:,:]
Hl = ds.variables['latent_heat_surface'][:,:,:]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
else:
# Load wind data from prognosis (netCDF file) for selected time-range
ds = Dataset(ncfile, 'r')
_time = ds.variables['time'][timerange[0]:timerange[1]]
SWnet = ds.variables['net_sw_surface'][timerange[0]:timerange[1],:,:]
LWnet = ds.variables['net_lw_surface'][timerange[0]:timerange[1],:,:]
Hs = ds.variables['sensible_heat_surface'][timerange[0]:timerange[1],:,:]
Hl = ds.variables['latent_heat_surface'][timerange[0]:timerange[1],:,:]
rlon = ds.variables['rlon'][:]
rlat = ds.variables['rlat'][:]
ds.close()
from netCDF4 import num2date
for t in _time:
print num2date(t, "seconds since 1970-01-01 00:00:00 +00:00")
# Setup outputs
tstruct = time.gmtime(_time[-1]) # or -1 if it should be the average until that date
outfile = '%s_%s_%s_%s' % (themedir, str(tstruct.tm_year).zfill(4),
str(tstruct.tm_mon).zfill(2),
str(tstruct.tm_mday).zfill(2))
print outfile
outdir = os.path.join(BILout, themedir, str(cdt.year))
if not os.path.exists(outdir):
if not os.path.exists(os.path.join(BILout, themedir)):
os.chdir(BILout)
os.system('mkdir %s' % themedir)
os.chdir(os.path.join(BILout, themedir))
os.system('mkdir %s' % str(cdt.year))
# Calculate the wind speed vector - using model()
Rnet = model(SWnet, LWnet, Hs, Hl)
# interpolate total average wind speed to seNorge grid
Rnet_intp = interpolate(rlon, rlat, Rnet)
# Replace NaN values with the appropriate FillValue
Rnet_intp = nan2fill(Rnet_intp)
# # Set no-data values to IntFillValue
# mask = senorge_mask()
# tgss[mask] = IntFillValue
#
# if options.bil:
# # Write to BIL file
# bilfile = BILdata(os.path.join(outdir, outfile+'.bil'),
# datatype='int16')
# biltext = bilfile.write(tgss)
# print biltext
if options.nc:
# Prepare data
# Change array order
ncRnet = (Rnet_intp)
# Write to NC file
ncfile = NCdata(os.path.join(outdir, outfile+'.nc'))
ncfile.new(_time[-1])
ncfile.add_variable(themedir, ncRnet.dtype.str, "W m-2",
themename, ncRnet)
ncfile.close()
# if options.png:
# from pysenorge.io.png import writePNG
# # Write to PNG file
# writePNG(flipud(Rnet_intp), os.path.join(outdir, outfile),
# cltfile=os.path.join(BILout, themedir, "tgss.clt")
# )
# At last - cross fingers it all worked out!
print "\n*** Finished successfully ***\n"
def main():
"""
Loads and verifies input data, calls the model, and controls the output stream.
"""
# Theme variables
themedir1 = 'wind_speed_avg_1500m'
themedir2 = 'wind_speed_max_1500m'
today = datetime.date.today().strftime("%Y_%m_%d")
tomorrow = (datetime.date.today() + datetime.timedelta(days=1)).strftime("%Y_%m_%d")
# Setup input parser
usage = "usage: python //~HOME/pysenorge/theme_layers/ \
average_windspeed_daily.py YYYY-MM-DD NC-File-Describtion [options]"
#---------------------------------------------------------
#add options with parser module
parser = OptionParser(usage=usage)
#create no bil
parser.add_option("--no-bil",
action="store_false", dest="bil", default=True,
help="Set to suppress output in BIL format")
#create netCDF
parser.add_option("--nc",
action="store_true", dest="nc", default=False,
help="Set to store output in netCDF format")
#create png
parser.add_option("--png",
action="store_true", dest="png", default=False,
help="Set to store output as PNG image")
# Comment to suppress help
# parser.print_help()
(options, args) = parser.parse_args()
# Verify input parameters
if len(args) != 2:
parser.error("Please provide the date in ISO format YYYY-MM-DD and the timenc!")
parser.print_help()
#Select which date
yr = str(args[0].split("-")[0])
mon = str(args[0].split("-")[1])
day = str(args[0].split("-")[2])
#Select which nc-file
timearg = args[1]
load_date = "%s_%s_%s" % (yr, mon, day)
ncfilename = "AROME_WIND_850_NVE_%s_%s.nc" % (timearg, load_date)
ncfile = os.path.join(netCDFin, "2013", ncfilename)
#Test if path of the netCDF file exists
if not os.path.exists(ncfile):
parser.error("%s does not exist!" % ncfile)
else:
# Load wind data from prognosis (netCDF file) for entire time-range
ds = Dataset(ncfile, 'r')
wind_time = ds.variables['time'][:]
x_wind = ds.variables['x_wind_850hpa'][:, :, :]
y_wind = ds.variables['y_wind_850hpa'][:, :, :]
ds.close()
print "Using input data from file %s" % ncfile
#Get timenc and control if the time is right
ob_time = time.strftime("%H", time.gmtime(wind_time[0]))
data_timenc = _time_fun(ob_time)
if timearg == data_timenc:
pass
else:
print "The given input parameter and time value of the netCDF are not the same"
timenc = data_timenc
#---------------------------------------------------------
#Output paths, output filenames and timerange
begin_time = time.strftime("%d-%m-%Y-%H:%M:%S", time.gmtime(wind_time[0]))
end_time = time.strftime("%d-%m-%Y-%H:%M:%S", time.gmtime(wind_time[24]))
print "For the period from the", begin_time, "to", end_time
outfile1 = '%s_%s' % (themedir1, today)
outfile2 = '%s_%s' % (themedir2, today)
cdt = iso2datetime(args[0] + " 06:00:00")
#---------------------------------------------------------
#Output path 1
outdir1 = os.path.join(BILout, themedir1, str(get_hydroyear(cdt)))
if not os.path.exists(outdir1):
if not os.path.exists(os.path.join(BILout, themedir1)):
os.chdir(BILout)
os.system('mkdir %s' % themedir1)
os.chdir(os.path.join(BILout, themedir1))
os.system('mkdir %s' % str(get_hydroyear(cdt)))
#Output path 2
outdir2 = os.path.join(BILout, themedir2, str(get_hydroyear(cdt)))
if not os.path.exists(outdir2):
if not os.path.exists(os.path.join(BILout, themedir2)):
os.chdir(BILout)
os.system('mkdir %s' % themedir2)
os.chdir(os.path.join(BILout, themedir2))
os.system('mkdir %s' % str(get_hydroyear(cdt)))
#Output path for wind_00 til wind _18
if timenc == "00":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date, "00")
elif timenc == "06":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date, "06")
elif timenc == "12":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date, "12")
elif timenc == "18":
outdir_hour = os.path.join(BILout, str(get_hydroyear(cdt)), load_date, "18")
if not os.path.exists(outdir_hour):
if not os.path.exists(os.path.join(BILout, str(get_hydroyear(cdt)))):
os.chdir(BILout)
os.system('mkdir %s' % str(get_hydroyear(cdt)))
os.chdir(os.path.join(BILout, str(get_hydroyear(cdt))))
os.makedirs('%s/%s/' % (load_date, timenc))
#---------------------------------------------------------
# Calculate the wind speed vector - using model()
total_wind_avg, max_wind, total_wind, wind_dir_cat, \
hour_wind = model(x_wind, y_wind)
# interpolate total average wind speed to seNorge grid
total_wind_avg_intp = interpolate_new(total_wind_avg)
max_wind_intp = interpolate_new(max_wind)
wind_dir_intp = interpolate_new(wind_dir_cat)
#dom_wind_tab_intp = interpolate_new(dom_wind_tab)
# Replace NaN values with the appropriate FillValue
total_wind_avg_intp = nan2fill(total_wind_avg_intp)
max_wind_intp = nan2fill(max_wind_intp)
wind_dir_intp = nan2fill(wind_dir_intp)
#dom_wind_tab_intp = nan2fill(dom_wind_tab_intp)
#--------------------------------------------------------
#Hourly wind forecast based on the recent AROME input file
if timenc == "18":
#at 01:00
wind_18 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[0, :, :])
#at 07:00
wind_00 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[6, :, :])
#at 13:00
wind_06 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[12, :, :])
#at 19:00
wind_12 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_18_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_00_1500m", today)
outfile5 = '%s_%s' % ("wind_speed_06_1500m", today)
outfile6 = '%s_%s' % ("wind_speed_12_1500m", today)
elif timenc == "00":
#at 07:00
wind_00 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[0, :, :])
#at 13:00
wind_06 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[6, :, :])
#at 19:00
wind_12 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[12, :, :])
#next day at 01:00
wind_18 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_00_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_06_1500m", today)
outfile5 = '%s_%s' % ("wind_speed_12_1500m", today)
outfile6 = '%s_%s' % ("wind_speed_18_1500m", tomorrow)
elif timenc == "06":
#at 13:00
wind_06 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[0, :, :])
#at 19:00
wind_12 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[6, :, :])
#next day 01:00
wind_18 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[12, :, :])
#next day 07:00
wind_00 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_06_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_12_1500m", today)
outfile5 = '%s_%s' % ("wind_speed_18_1500m", tomorrow)
outfile6 = '%s_%s' % ("wind_speed_00_1500m", tomorrow)
elif timenc == "12":
#at 19:00
wind_12 = interpolate_new(total_wind[0, :, :])
hour_wind_intp_12 = interpolate_new(hour_wind[0, :, :])
#next day 01:00
wind_18 = interpolate_new(total_wind[6, :, :])
hour_wind_intp_18 = interpolate_new(hour_wind[6, :, :])
#next day 07:00
wind_00 = interpolate_new(total_wind[12, :, :])
hour_wind_intp_00 = interpolate_new(hour_wind[12, :, :])
#next day 13:00
wind_06 = interpolate_new(total_wind[18, :, :])
hour_wind_intp_06 = interpolate_new(hour_wind[18, :, :])
outfile3 = '%s_%s' % ("wind_speed_12_1500m", today)
outfile4 = '%s_%s' % ("wind_speed_18_1500m", tomorrow)
outfile5 = '%s_%s' % ("wind_speed_00_1500m", tomorrow)
outfile6 = '%s_%s' % ("wind_speed_06_1500m", tomorrow)
#---------------------------------------------------------
#Option --bil: Multiplied by 10 to store data as integer
if options.bil:
from pysenorge.grid import senorge_mask
mask = senorge_mask()
#Avg wind
bil_avg_wind = flipud(uint16(total_wind_avg_intp * 10.0))
bil_avg_wind[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir1,
outfile1 + '.bil'),
datatype='uint16')
#Colapse into one dimension
biltext = bilfile.write(bil_avg_wind.flatten())
print biltext
# Max wind
bil_max_wind = flipud(uint16(max_wind_intp * 10.0))
bil_max_wind[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir2,
outfile2 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_max_wind.flatten())
print biltext
# bil wind at 00
bil_wind_00 = flipud(uint16(wind_00 * 10.0))
bil_wind_00[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour,
outfile3 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_00.flatten())
print biltext
# bil wind at 06
bil_wind_06 = flipud(uint16(wind_06 * 10.0))
bil_wind_06[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour,
outfile4 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_06.flatten())
print biltext
#bil wind at 12
bil_wind_12 = flipud(uint16(wind_12 * 10.0))
bil_wind_12[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour,
outfile5 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_12.flatten())
print biltext
#bil wind at 18
bil_wind_18 = flipud(uint16(wind_18 * 10.0))
bil_wind_18[mask] = UintFillValue
bilfile = BILdata(os.path.join(outdir_hour,
outfile6 + '.bil'),
datatype='uint16')
biltext = bilfile.write(bil_wind_18.flatten())
print biltext
#---------------------------------------------------------
#Option --nc: write a nc file
if options.nc:
ncfile = NCdata(os.path.join(outdir1, outfile1 + '.nc'))
ncfile.new(wind_time[-1])
ncfile.add_variable('avg_wind_speed', total_wind_avg.dtype.str, "m s-1",
'Average wind speed last 24h', total_wind_avg_intp)
ncfile.add_variable('max_wind_speed', max_wind.dtype.str, "m s-1",
'Maximum wind gust last 24h', max_wind_intp)
ncfile.add_variable('wind_direction', wind_dir_cat.dtype.str,
"cardinal direction",
'Prevailing wind direction last 24h', wind_dir_intp)
ncfile.add_variable('wind_00', wind_00.dtype.str, "m s-1",
'Wind forecast 01:00', wind_00)
ncfile.add_variable('wind_06', wind_06.dtype.str, "m s-1",
'Wind forecast 07:00', wind_06)
ncfile.add_variable('wind_12', wind_12.dtype.str, "m s-1",
'Wind forecast 13:00', wind_12)
ncfile.add_variable('wind_18', wind_18.dtype.str, "m s-1",
'Wind forecast 19:00', wind_18)
ncfile.close()
#---------------------------------------------------------
#Option --png: Write a PNG files
if options.png:
avg_clt_file_path = "/home/ralf/Dokumente/summerjob/data/avg_wind_speed_10_no.clt"
max_clt_file_path = "/home/ralf/Dokumente/summerjob/data/max_wind_speed_10_no.clt"
direction_clt_file_path = "/home/ralf/Dokumente/summerjob/data/wind_direction_10_no.clt"
#Creates png file wind average
writePNG(total_wind_avg_intp[:, :],
os.path.join(outdir1, outfile1),
cltfile=avg_clt_file_path
)
#Creates png file wind max
writePNG(max_wind_intp[:, :],
os.path.join(outdir2, outfile2),
cltfile=max_clt_file_path
)
#Hourly wind speed maps
writePNG(wind_00,
os.path.join(outdir_hour, outfile3),
cltfile=avg_clt_file_path
)
writePNG(wind_06,
os.path.join(outdir_hour, outfile4),
cltfile=avg_clt_file_path
)
writePNG(wind_12,
os.path.join(outdir_hour, outfile5),
cltfile=avg_clt_file_path
)
writePNG(wind_18,
os.path.join(outdir_hour, outfile6),
cltfile=avg_clt_file_path
)
#Wind direction
writePNG(wind_dir_intp[:, :],
os.path.join(outdir1, 'wind_direction'),
cltfile=direction_clt_file_path
)
#Hourly wind directions
writePNG(hour_wind_intp_00[:, :],
os.path.join(outdir1, 'wind_direction_hour_00'),
cltfile=direction_clt_file_path
)
writePNG(hour_wind_intp_06[:, :],
os.path.join(outdir1, 'wind_direction_hour_06'),
cltfile=direction_clt_file_path
)
writePNG(hour_wind_intp_12[:, :],
os.path.join(outdir1, 'wind_direction_hour_12'),
cltfile=direction_clt_file_path
)
writePNG(hour_wind_intp_18[:, :],
os.path.join(outdir1, 'wind_direction_hour_18'),
cltfile=direction_clt_file_path
)
#Maximal dominate wind speed
#writePNG(dom_wind_tab_intp[:, :],
# os.path.join(outdir1, today, 'wind_direction_dom_wind_tab'),
# cltfile=direction_clt_file_path
# )
# At last - cross fingers* it all worked out! *and toes !!!
print "\n***Finished successfully***\n"
