def test_adams_bashforth_requires_same_timestep(mock_prognostic_call):
"""Test that the Asselin filter is being correctly applied"""
mock_prognostic_call.return_value = ({'air_temperature': 0.}, {})
state = {'air_temperature': 273.}
time_stepper = AdamsBashforth([MockPrognostic()])
state = time_stepper.__call__(state, timedelta(seconds=1.))
try:
time_stepper.__call__(state, timedelta(seconds=2.))
except ValueError:
pass
except Exception as err:
raise err
else:
raise AssertionError(
'AdamsBashforth must require timestep to be constant')
def plot_function(fig, state):
ax = fig.add_subplot(1, 1, 1)
ax.plot(
state['air_temperature'].values.flatten(),
state['air_pressure'].values.flatten(), '-o')
ax.axes.invert_yaxis()
ax.set_yscale('log')
ax.set_ylim(1e5, 100.)
ax.set_xlabel('Kelvin')
ax.set_ylabel('Pa')
ax.set_title('Radiative equilibrium in a Grey Gas atmosphere')
monitor = PlotFunctionMonitor(plot_function)
diagnostic = Frierson06LongwaveOpticalDepth()
radiation = GrayLongwaveRadiation()
time_stepper = AdamsBashforth([radiation])
timestep = timedelta(hours=4)
state = get_default_state([radiation, diagnostic])
for i in range(6*7*4*10):
state.update(diagnostic(state))
diagnostics, new_state = time_stepper.__call__(state, timestep)
state.update(diagnostics)
if i % 5 == 0:
monitor.store(state)
state.update(new_state)
