def test_cat_experiments(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
data = ctt.sha(ens)
return data
def test_cat_experiments(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
data = ctt.sha(ens)
return data
def process_local_cmip5_data(var):
"""time-merge
"""
# 2. Join the time-slices
# First build a cmipdata ensemble object
filepattern = var + '*.nc'
ens = cd.mkensemble(filepattern)
# Join the time-slices and limit to years between 1880 and 2012
ens = cd.cat_experiments(ens, var, 'historical', 'rcp45')
ens = cd.time_slice(ens, '1881-01-01', '2012-12-31')
def test_my_operator(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
my_cdo_str = "cdo remapdis,r1x180 -zonmean -seldate,1950-01-01,2000-12-31\
-sub {infile} -timmean -seldate,1950-01-01,2000-12-31 {infile}\
{outfile}"
ens = cd.my_operator(ens, my_cdo_str, output_prefix="test_", delete=True)
data = ctt.sha(ens)
return data
def test_my_operator(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
my_cdo_str = 'cdo remapdis,r1x180 -zonmean -seldate,1950-01-01,2000-12-31\
-sub {infile} -timmean -seldate,1950-01-01,2000-12-31 {infile}\
{outfile}'
ens = cd.my_operator(ens, my_cdo_str, output_prefix='test_', delete=True)
data = ctt.sha(ens)
return data
