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#!/usr/bin/env python
import cmor
import numpy
def main():
cmor.setup(inpath='Tables',
netcdf_file_action=cmor.CMOR_REPLACE_3)
cmor.dataset('pre-industrial control', 'ukmo', 'HadCM3', '360_day',
institute_id='ukmo',
model_id='HadCM3',
history='some global history',
forcing='N/A',
parent_experiment_id='N/A',
branch_time=0.,
contact='bob')
table = 'CMIP5_3hr'
cmor.load_table(table)
axes = [{'table_entry': 'time1',
'units': 'hours since 2000-01-01 00:00:00',
},
{'table_entry': 'latitude',
'units': 'degrees_north',
'coord_vals': [0],
'cell_bounds': [-1, 1]},
{'table_entry': 'longitude',
'units': 'degrees_east',
'coord_vals': [90],
'cell_bounds': [89, 91]},
]
values = numpy.array([1.], numpy.float32) + 200
axis_ids = list()
for axis in axes:
axis_id = cmor.axis(**axis)
axis_ids.append(axis_id)
varid = cmor.variable('tas',
'K',
axis_ids,
history='variable history',
missing_value=-99,
)
cmor.write(varid, values, time_vals=[0.], time_bnds=[[0, 3.]])
cmor.close()
if __name__ == '__main__':
main()
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