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import cmor
import numpy
error_flag = cmor.setup(inpath='Test', netcdf_file_action=cmor.CMOR_REPLACE)
error_flag = cmor.dataset_json("Test/CMOR_input_example.json")
# creates 1 degree grid
nlat = 18
nlon = 36
alats = numpy.arange(180) - 89.5
bnds_lat = numpy.arange(181) - 90
alons = numpy.arange(360) + .5
bnds_lon = numpy.arange(361)
cmor.load_table("Tables/CMIP6_Amon.json")
ilat = cmor.axis(
table_entry='latitude',
units='degrees_north',
length=nlat,
coord_vals=alats,
cell_bounds=bnds_lat)
ilon = cmor.axis(
table_entry='longitude',
length=nlon,
units='degrees_east',
coord_vals=alons,
cell_bounds=bnds_lon)
ntimes = 12
plevs = numpy.array([100000., 92500, 85000, 70000, 60000, 50000, 40000, 30000, 25000,
20000, 15000, 10000, 7000, 5000, 3000, 2000, 1000, 999, 998, 997, 996,
995, 994, 500, 100])
itim = cmor.axis(
table_entry='time',
units='months since 2030-1-1',
length=ntimes,
interval='1 month')
ilev = cmor.axis(
table_entry='plev19',
units='Pa',
coord_vals=plevs,
cell_bounds=None)
var3d_ids = cmor.variable(
table_entry='ta',
units='K',
axis_ids=numpy.array((ilev, ilon, ilat, itim)),
missing_value=numpy.array([1.0e28, ], dtype=numpy.float32)[0],
original_name='cloud')
for it in range(ntimes):
time = numpy.array((it))
bnds_time = numpy.array((it, it + 1))
data3d = numpy.random.random((len(plevs), nlon, nlat)) * 30. + 265.
data3d = data3d.astype('f')
error_flag = cmor.write(
var_id=var3d_ids,
data=data3d,
ntimes_passed=1,
time_vals=time,
time_bnds=bnds_time)
error_flag = cmor.close()
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