from compass.model import run_model
from compass.step import Step
[docs]
class Forward(Step):
"""
A step for performing forward MPAS-Ocean runs as part of baroclinic
channel test cases.
Attributes
----------
resolution : str
The resolution of the test case
"""
[docs]
def __init__(self, test_case, resolution, name='forward', subdir=None,
ntasks=1, min_tasks=None, openmp_threads=1, nu=None):
"""
Create a new test case
Parameters
----------
test_case : compass.TestCase
The test case this step belongs to
resolution : str
The resolution of the test case
name : str
the name of the test case
subdir : str, optional
the subdirectory for the step. The default is ``name``
ntasks : int, optional
the number of tasks the step would ideally use. If fewer tasks
are available on the system, the step will run on all available
tasks as long as this is not below ``min_tasks``
min_tasks : int, optional
the number of tasks the step requires. If the system has fewer
than this number of tasks, the step will fail
openmp_threads : int, optional
the number of OpenMP threads the step will use
nu : float, optional
the viscosity (if different from the default for the test group)
"""
self.resolution = resolution
if min_tasks is None:
min_tasks = ntasks
super().__init__(test_case=test_case, name=name, subdir=subdir,
ntasks=ntasks, min_tasks=min_tasks,
openmp_threads=openmp_threads)
self.add_namelist_file('compass.ocean.tests.baroclinic_channel',
'namelist.forward')
self.add_namelist_file('compass.ocean.tests.baroclinic_channel',
'namelist.{}.forward'.format(resolution))
if nu is not None:
# update the viscosity to the requested value
options = {'config_mom_del2': '{}'.format(nu)}
self.add_namelist_options(options)
# make sure output is double precision
self.add_streams_file('compass.ocean.streams', 'streams.output')
self.add_streams_file('compass.ocean.tests.baroclinic_channel',
'streams.forward')
self.add_input_file(filename='init.nc',
target='../initial_state/ocean.nc')
self.add_input_file(filename='graph.info',
target='../initial_state/culled_graph.info')
self.add_model_as_input()
self.add_output_file(filename='output.nc')
# no setup() is needed
[docs]
def run(self):
"""
Run this step of the test case
"""
run_model(self)