import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
from compass.step import Step
[docs]class Analysis(Step):
"""
A step for plotting the results of the default General Ocean Turbulence
Model (GOTM) test case
"""
[docs] def __init__(self, test_case):
"""
Create a new test case
Parameters
----------
test_case : compass.ocean.tests.gotm.default.Default
The test case this step belongs to
"""
super().__init__(test_case=test_case, name='analysis', cores=1,
min_cores=1, threads=1)
self.add_input_file(filename='output.nc',
target='../forward/output.nc')
self.add_output_file(filename='velocity_profile.png')
self.add_output_file(filename='viscosity_profile.png')
[docs] def run(self):
"""
Run this step of the test case
"""
# render statically by default
plt.switch_backend('agg')
# constants
kappa = 0.4
z0b = 1.5e-3
gssh = 1e-5
g = 9.81
h = 15
# load output
ds = xr.open_dataset('output.nc')
# velocity
u = ds.velocityZonal.isel(Time=-1, nCells=0).values
# viscosity
nu = ds.vertViscTopOfCell.isel(Time=-1, nCells=0).values
# depth
bottom_depth = ds.refBottomDepth.values
z = np.zeros_like(bottom_depth)
z[0] = -0.5*bottom_depth[0]
z[1:] = -0.5*(bottom_depth[0:-1]+bottom_depth[1:])
zi = np.zeros(bottom_depth.size+1)
zi[0] = 0.0
zi[1:] = -bottom_depth[0:]
# analytical solution
ustarb = np.sqrt(g*h*gssh)
u_a = ustarb/kappa*np.log((z0b+z+h)/z0b)
nu_a = -ustarb/h*kappa*(z0b+z+h)*z
# infered drag coefficient
cd = ustarb**2/u_a[-1]**2
self.logger.info('C_d = {:6.4g}'.format(cd))
# plot velocity
plt.figure()
plt.plot(u_a, z, 'k--', label='Analytical')
plt.plot(u, z, 'k-', label='GOTM')
plt.xlabel('Velocity (m/s)')
plt.ylabel('Depth (m)')
plt.legend()
plt.savefig('velocity_profile.png')
# plot viscosity
plt.figure()
plt.plot(nu_a, z, 'k--', label='Analytical')
plt.plot(nu, zi, 'k-', label='GOTM')
plt.xlabel('Viscosity (m$^2$/s)')
plt.ylabel('Depth (m)')
plt.legend()
plt.savefig('viscosity_profile.png')