import cmocean # noqa: F401
import matplotlib.pyplot as plt
import numpy as np
import xarray as xr
from mpas_tools.ocean.viz.transect import compute_transect, plot_transect
from polaris.mpas import time_since_start
from polaris.ocean.model import OceanIOStep
from polaris.viz import use_mplstyle
[docs]
class Viz(OceanIOStep):
"""
A step for visualizing the output of the default merry-go-round test case
"""
[docs]
def __init__(self, component, dependencies, taskdir):
"""
Create the step
Parameters
----------
component : polaris.Component
The component the step belongs to
dependencies : dict of polaris.steps
the dependencies of this step must be given as separate keys in the
dict:
mesh : polaris.step
must have the attribute `path`, the path to `base_mesh.nc`
for the default resolution
init : polaris.step
must have the attribute `path`, the path to
`initial_state.nc` for the default resolution
forward : dict of polaris.steps
must have the attribute `path`, the path to `forward.nc`
for the default resolution
taskdir : str
The subdirectory that the task belongs to
"""
super().__init__(component=component, name='viz', indir=taskdir)
self.dependencies_dict = dependencies
self.add_output_file('merry_go_round_section.png')
[docs]
def setup(self):
"""
Add input files, which are dependent on the config options values
"""
super().setup()
dependencies = self.dependencies_dict
base_mesh = dependencies['mesh']
init = dependencies['init']
forward = dependencies['forward']
self.add_input_file(
filename='mesh.nc',
work_dir_target=f'{base_mesh.path}/culled_mesh.nc',
)
self.add_input_file(
filename='init.nc',
work_dir_target=f'{init.path}/initial_state.nc',
)
self.add_input_file(
filename='output.nc',
work_dir_target=f'{forward.path}/output.nc',
)
[docs]
def run(self):
"""
Run this step of the test case
"""
plt.switch_backend('Agg')
config = self.config
model = config.get('ocean', 'model')
section = config['merry_go_round']
use_mplstyle()
fig, axes = plt.subplots(
nrows=2,
ncols=2,
figsize=(8, 5),
constrained_layout=True,
sharex=True,
sharey=True,
)
section = config['convergence']
eval_time = section.getfloat('convergence_eval_time')
s_per_hour = 3600.0
time = eval_time * s_per_hour
ds_mesh = self.open_model_dataset('mesh.nc')
ds_init = self.open_model_dataset('init.nc')
ds = self.open_model_dataset('output.nc', decode_times=False)
x_min = ds_mesh.xVertex.min().values
x_max = ds_mesh.xVertex.max().values
y_mid = ds_mesh.yCell.median().values
x = xr.DataArray(data=np.linspace(x_min, x_max, 2), dims=('nPoints',))
y = y_mid * xr.ones_like(x)
if model == 'mpas-o':
dt = time_since_start(ds.xtime.values)
else:
# time is seconds since the start of the simulation in Omega
dt = ds.Time.values
tidx = np.argmin(np.abs(dt - time))
ds_transect = compute_transect(
x=x,
y=y,
ds_horiz_mesh=ds_mesh,
layer_thickness=ds_init.layerThickness.isel(Time=0),
bottom_depth=ds_init.bottomDepth,
min_level_cell=ds_init.minLevelCell - 1,
max_level_cell=ds_init.maxLevelCell - 1,
spherical=False,
)
horz_velocity = ds.velocityX.isel(Time=tidx)
vert_velocity = ds.vertVelocityTop.isel(Time=tidx)
tracer_exact = ds_init.tracer1.isel(Time=0)
tracer_model = ds.tracer1.isel(Time=tidx)
tracer_error = tracer_model - tracer_exact
data_min = np.min(np.abs(tracer_exact.values))
data_max = np.max(np.abs(tracer_exact.values))
error_range = np.max(np.abs(tracer_error.values))
plot_transect(
ds_transect=ds_transect,
mpas_field=horz_velocity,
ax=axes[0, 0],
vmin=-0.008,
vmax=0.008,
cmap='cmo.balance',
colorbar_label='horizontal velocity',
color_start_and_end=False,
)
plot_transect(
ds_transect=ds_transect,
mpas_field=vert_velocity,
ax=axes[0, 1],
vmin=-0.02,
vmax=0.02,
cmap='cmo.balance',
colorbar_label='vertical velocity',
color_start_and_end=False,
)
plot_transect(
ds_transect=ds_transect,
mpas_field=tracer_exact,
ax=axes[1, 0],
vmin=data_min,
vmax=data_max,
cmap='cmo.thermal',
colorbar_label='tracer1 at t=0',
color_start_and_end=False,
)
plot_transect(
ds_transect=ds_transect,
mpas_field=tracer_error,
ax=axes[1, 1],
vmin=-error_range,
vmax=error_range,
cmap='cmo.curl',
colorbar_label=f'delta(tracer1) at t={eval_time:g}h',
color_start_and_end=False,
)
axes[0, 0].set_xlabel(None)
axes[0, 1].set_xlabel(None)
axes[0, 1].set_ylabel(None)
axes[1, 1].set_ylabel(None)
fig.savefig(
'merry_go_round_section.png', bbox_inches='tight', pad_inches=0.1
)