python_scripts/interpolate_data.py.bak at master · subond/python_scripts · GitHub

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import numpy as np
import os
from isca import IscaCodeBase, Experiment, GFDL_BASE
from isca.util import interpolate_output
import subprocess
from data_handling_updates import time_means
#from data_handling import join_files

#cb = IscaCodeBase.from_directory(GFDL_BASE)

#exp = Experiment('ss_91.000')
#for i in range(61, 248):
#     exp.runinterp(i,'atmos_pentad.nc','plev_pentad.nc', p_levs='EVEN')


for run in ["rt_0.750_15", "rt_1.250_15"]:
    print run
    for i in range(121,481):
        print i
        infile = '/scratch/rg419/Data_moist/' + run + '/run%04d/atmos_pentad.nc' % i
        outfile = '/scratch/rg419/Data_moist/' + run + '/run%04d/plev_pentad.nc' % i
        interpolate_output(infile, outfile, p_levs='EVEN', var_names=['slp', 'height'])

        infile = '/scratch/rg419/Data_moist/' + run + '/run%04d/atmos_daily.nc' % i
        outfile = '/scratch/rg419/Data_moist/' + run + '/run%04d/plev_daily.nc' % i
        interpolate_output(infile, outfile, p_levs='EVEN')

test=time_means('rt_0.750_15', [121,481], filename='plev_pentad', timeav='pentad', write_netcdf=True)
test=time_means('rt_1.250_15', [121,481], filename='plev_pentad', timeav='pentad', write_netcdf=True)


        #infile = '/scratch/rg419/Data_moist/' + run + '/run%04d/atmos_daily_mean.nc' % i
        #outfile = '/scratch/rg419/Data_moist/' + run + '/run%04d/plev_daily_mean.nc' % i
        #interpolate_output(infile, outfile, p_levs='EVEN')


#for run in ["sine_sst_10m_ss_100", "sine_sst_10m_ss_110", "sine_sst_10m_ss_120", "sine_sst_10m_ss_130",
#            "sine_sst_10m_ss_140", "sine_sst_10m_ss_150", "sine_sst_10m_ss_160", "sine_sst_10m_ss_170", "sine_sst_10m_ss_180"]:
#    exp = Experiment(run, codebase=cb)
#    for i in range(61, 181):
#        runinterp(exp, i,'atmos_pentad.nc','plev_pentad.nc', p_levs='EVEN', var_names='-a slp height')
#        runinterp(exp, i,'atmos_daily.nc','plev_daily.nc', p_levs='EVEN')