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import cmor
import numpy
def main():
cmor.setup(inpath='Tables',
netcdf_file_action=cmor.CMOR_REPLACE)
cmor.dataset_json("Test/CMOR_input_example.json")
table = 'CMIP6_Omon.json'
cmor.load_table(table)
axes = [{'table_entry': 'time',
'units': 'days since 1850-01-01 00:00:00',
'coord_vals': [15.5, 45, ],
'cell_bounds':[[0, 31], [31, 62]]
},
{'table_entry': 'depth_coord_half',
'units': 'm',
'coord_vals': [5000., 3000., 2000., 1000.],
'cell_bounds': [5000., 3000., 2000., 1000., 0]},
{'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]},
]
axis_ids = list()
for axis in axes:
print('doing: {}'.format(axis))
axis_id = cmor.axis(**axis)
axis_ids.append(axis_id)
for var, units, value in (('zhalfo', 'm', 274.),):
values = numpy.ones(map(lambda x: len(x["coord_vals"]), axes)) * value
values = values.astype("f")
varid = cmor.variable(var,
units,
axis_ids,
history='variable history',
missing_value=-99
)
cmor.write(varid, values)
cmor.close()
if __name__ == '__main__':
main()
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