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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_4)
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': [100000., 92500., 85000., 70000., 60000., 50000., 40000., 30000., 25000., 20000., 15000., 10000., 7000., 5000., 3000., 2000., 1000., 500., 100.]},
{'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', 'BLABLABLA')
cmor.write(varid, values, time_vals=[15], time_bnds=[[0, 30]])
cmor.close()
if __name__ == '__main__':
main()
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