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Remove duplicates of timesteps in netcdf files
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```python | |
from netCDF4 import Dataset, datetime, date2num,num2date | |
import numpy as np | |
import os | |
from subprocess import call | |
__author__ = 'Trond Kristiansen' | |
__email__ = 'trond.kristiansen@niva.no' | |
__created__ = datetime(2017, 2, 1) | |
__modified__ = datetime(2017, 2, 1) | |
__version__ = "1.0" | |
__status__ = "Development, modified on 01.02.2015, 06.04.2017" | |
# NOTE!: To make this wortk you have to type into command window prior to execution: | |
# export SKIP_SAME_TIME=1 | |
# Then you can run | |
# python mergetime.py | |
myprefix='A20' | |
outprefix='A20' | |
myvars=['Pair','Uwind','Vwind','cloud','Tair','Qair','rain'] | |
myvars=['swrad','lwrad'] | |
years=[year for year in xrange(1980,2015,1)] | |
command = "export SKIP_SAME_TIME=1" | |
call(command,shell=True) | |
for myvar in myvars: | |
newfilename="%s_%s_%s_%s.nc"%(outprefix,myvar,years[0],years[-1]) | |
mylistoffiles=[] | |
if os.path.exists(newfilename): os.remove(newfilename) | |
for year in years: | |
filename="%s_%s_%s.nc"%(myprefix,myvar,year) | |
mylistoffiles.append(filename) | |
if len(mylistoffiles)>0: | |
options="" | |
for f in mylistoffiles: | |
options=options+"%s "%(f) | |
options=options+newfilename | |
command = "cdo mergetime %s"%(options) | |
# print "%s"%(command) | |
call(command,shell=True) | |
print "Result written to file: %s"%(newfilename) | |
print "\nFinished with %s -----"%(myvar) | |
``` |
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