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#!/usr/bin/env python
from __future__ import print_function
import cmor
import numpy
def main():
cmor.setup(inpath='/git/cmip5-cmor-tables/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',
parent_experiment_rip='N/A',
branch_time=0,
contact='brian clough')
table = 'CMIP5_Oclim'
cmor.load_table(table)
axes = [{'table_entry': 'time2',
'units': 'days since 1850-01-01 00:00:00',
'coord_vals': [15.5, 45, 74.5, 105, 135.5, 166, 196.5, 227.5, 258, 288.5, 319, 349.5],
'cell_bounds': [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334, 365],
},
{'table_entry': 'depth_coord',
'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:', axis)
axis_id = cmor.axis(**axis)
axis_ids.append(axis_id)
for var, units, value in (('difvso', 'm2 s-1', 274.),):
values = numpy.ones(map(lambda x: len(x["coord_vals"]), axes)) * value
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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