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#!/usr/bin/env python
from __future__ import print_function
import cmor
import numpy
def main():
cmor.setup(inpath='Tables',
netcdf_file_action=cmor.CMOR_REPLACE_3)
cmor.dataset_json("Test/CMOR_input_example.json")
table = 'CMIP6_Amon.json'
cmor.load_table(table)
axes = [{'table_entry': 'time',
'units': 'days since 2000-01-01 00:00:00',
},
{'table_entry': 'plev19',
'units': 'Pa',
'coord_vals': map(float, '100000. 92500. 85000. 70000. 60000. 50000. 40000. 30000. 25000. 20000. 15000. 10000. 7000. 5000. 3000. 2000. 1000. 500. 100.'.split(' '))},
{'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:', axis)
axis_id = cmor.axis(**axis)
axis_ids.append(axis_id)
for var, units, value in (('ta', 'K', 274), ('ua', 'm s-1', 10)):
values = numpy.array([value, ] *
len(axes[1]['coord_vals']), numpy.float32)
varid = cmor.variable(var,
units,
axis_ids,
history='variable history',
missing_value=-99
)
cmor.set_variable_attribute(varid, 'cell_measures', '')
cmor.write(varid, values, time_vals=[15], time_bnds=[[0, 30]])
cmor.close()
if __name__ == '__main__':
main()
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