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import cmor
import numpy
def cmor_initialisation():
cmor.setup(inpath='Tables',
netcdf_file_action=cmor.CMOR_REPLACE_3,
create_subdirectories=0)
cmor.dataset_json("Test/CMOR_input_example.json")
def setup_data():
coord_vals = numpy.array(range(2), dtype=numpy.float64) + 0.5
axes = [{'table_entry': 'time1',
'units': 'days since 2000-01-01 00:00:00',
},
{'table_entry': 'site',
'units': '',
'coord_vals': [0]},
{'table_entry': 'hybrid_height',
'units': 'm',
'coord_vals': coord_vals,
'cell_bounds': [[x - 0.5, x + 0.5] for x in coord_vals],
},
]
values = numpy.array([0.5, 0.5], numpy.float32)
return values, axes
def cmor_define_and_write(values, axes):
table = 'CMIP6_CFsubhr.json'
cmor.load_table(table)
axis_ids = list()
for axis in axes:
axis_id = cmor.axis(**axis)
axis_ids.append(axis_id)
igrid = cmor.grid([axis_ids[1]], [0.], [0.])
cmor.zfactor(axis_ids[2], 'b', axis_ids=[axis_ids[2]],
zfactor_values=numpy.array(range(2), dtype=numpy.float64),
zfactor_bounds=[[x - 0.5, x + 0.5] for x in range(2)])
cmor.zfactor(axis_ids[2], 'orog', 'm', axis_ids=[igrid],
zfactor_values=[0.] )
ids_for_var = [axis_ids[0], igrid, axis_ids[2]]
varid = cmor.variable('tnhus',
's-1',
ids_for_var,
history='variable history',
missing_value=-99,
)
for time in [x * 1800. / 86400 for x in range(48)]:
cmor.write(varid, values, time_vals=[time])
return varid
def main():
cmor_initialisation()
values, axes = setup_data()
varid = cmor_define_and_write(values, axes)
fname = cmor.close(varid, file_name=True)
cmor.close()
if __name__ == '__main__':
main()
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