def test_tributary(self):
models = [KarthausModel, FluxBasedModel]
steps = [15 * SEC_IN_DAY, None]
flss = [dummy_width_bed(), dummy_width_bed_tributary()]
lens = []
surface_h = []
volume = []
yrs = np.arange(1, 500, 2)
for model, step, fls in zip(models, steps, flss):
mb = LinearMassBalance(2600.)
model = model(fls,
mb_model=mb,
fs=self.fs_old,
glen_a=self.aglen_old,
fixed_dt=step)
length = yrs * 0.
vol = yrs * 0.
for i, y in enumerate(yrs):
model.run_until(y)
assert model.yr == y
length[i] = fls[-1].length_m
vol[i] = np.sum([f.volume_km3 for f in fls])
lens.append(length)
volume.append(vol)
surface_h.append(fls[-1].surface_h.copy())
np.testing.assert_allclose(lens[0][-1], lens[1][-1], atol=101)
np.testing.assert_allclose(volume[0][-1], volume[1][-1], atol=2e-2)
np.testing.assert_allclose(utils.rmsd(lens[0], lens[1]), 0., atol=70)
np.testing.assert_allclose(utils.rmsd(volume[0], volume[1]),
0.,
atol=6e-3)
np.testing.assert_allclose(utils.rmsd(surface_h[0], surface_h[1]),
0.,
atol=5)
if do_plot: # pragma: no cover
plt.plot(lens[0], 'r')
plt.plot(lens[1], 'b')
plt.show()
plt.plot(volume[0], 'r')
plt.plot(volume[1], 'b')
plt.show()
plt.plot(fls[-1].bed_h, 'k')
plt.plot(surface_h[0], 'r')
plt.plot(surface_h[1], 'b')
plt.show()
def test_tributary(self):
models = [KarthausModel, FluxBasedModel]
steps = [15 * SEC_IN_DAY, None]
flss = [dummy_width_bed(), dummy_width_bed_tributary()]
lens = []
surface_h = []
volume = []
yrs = np.arange(1, 500, 2)
for model, step, fls in zip(models, steps, flss):
mb = LinearMassBalance(2600.)
model = model(fls, mb_model=mb, fs=self.fs_old,
glen_a=self.aglen_old,
fixed_dt=step)
length = yrs * 0.
vol = yrs * 0.
for i, y in enumerate(yrs):
model.run_until(y)
length[i] = fls[-1].length_m
vol[i] = np.sum([f.volume_km3 for f in fls])
lens.append(length)
volume.append(vol)
surface_h.append(fls[-1].surface_h.copy())
np.testing.assert_allclose(lens[0][-1], lens[1][-1], atol=101)
np.testing.assert_allclose(volume[0][-1], volume[1][-1], atol=2e-2)
np.testing.assert_allclose(utils.rmsd(lens[0], lens[1]), 0., atol=70)
np.testing.assert_allclose(utils.rmsd(volume[0], volume[1]), 0.,
atol=6e-3)
np.testing.assert_allclose(utils.rmsd(surface_h[0], surface_h[1]), 0.,
atol=5)
if do_plot: # pragma: no cover
plt.plot(lens[0], 'r')
plt.plot(lens[1], 'b')
plt.show()
plt.plot(volume[0], 'r')
plt.plot(volume[1], 'b')
plt.show()
plt.plot(fls[-1].bed_h, 'k')
plt.plot(surface_h[0], 'r')
plt.plot(surface_h[1], 'b')
plt.show()
def test_varying_width(self):
"""This test is for a flowline glacier of variying width, i.e with an
accumulation area twice as wide as the tongue."""
# TODO: @alexjarosch here we should have a look at MUSCLSuperBeeModel
# set do_plot = True to see the plots
models = [KarthausModel, FluxBasedModel, MUSCLSuperBeeModel]
steps = [15 * SEC_IN_DAY, None, None]
lens = []
surface_h = []
volume = []
yrs = np.arange(1, 500, 2)
for model, step in zip(models, steps):
fls = dummy_width_bed()
mb = LinearMassBalance(2600.)
model = model(fls, mb_model=mb, glen_a=self.glen_a, fixed_dt=step)
length = yrs * 0.
vol = yrs * 0.
for i, y in enumerate(yrs):
model.run_until(y)
length[i] = fls[-1].length_m
vol[i] = fls[-1].volume_km3
lens.append(length)
volume.append(vol)
surface_h.append(fls[-1].surface_h.copy())
if do_plot: # pragma: no cover
plt.figure()
plt.plot(yrs, lens[0], 'r')
plt.plot(yrs, lens[1], 'b')
plt.plot(yrs, lens[2], 'g')
plt.title('Compare Length')
plt.xlabel('years')
plt.ylabel('[m]')
plt.legend(['Karthaus', 'Flux', 'MUSCL-SuperBee'], loc=2)
plt.figure()
plt.plot(yrs, volume[0], 'r')
plt.plot(yrs, volume[1], 'b')
plt.plot(yrs, volume[2], 'g')
plt.title('Compare Volume')
plt.xlabel('years')
plt.ylabel('[km^3]')
plt.legend(['Karthaus', 'Flux', 'MUSCL-SuperBee'], loc=2)
plt.figure()
plt.plot(fls[-1].bed_h, 'k')
plt.plot(surface_h[0], 'r')
plt.plot(surface_h[1], 'b')
plt.plot(surface_h[2], 'g')
plt.title('Compare Shape')
plt.xlabel('[m]')
plt.ylabel('Elevation [m]')
plt.legend(['Bed', 'Karthaus', 'Flux', 'MUSCL-SuperBee'], loc=3)
plt.show()
np.testing.assert_almost_equal(lens[0][-1], lens[1][-1])
np.testing.assert_allclose(volume[0][-1], volume[1][-1], atol=2e-2)
np.testing.assert_allclose(utils.rmsd(lens[0], lens[1]), 0., atol=70)
np.testing.assert_allclose(utils.rmsd(volume[0], volume[1]),
0.,
atol=1e-2)
np.testing.assert_allclose(utils.rmsd(surface_h[0], surface_h[1]),
0.,
atol=5)
def test_varying_width(self):
"""This test is for a flowline glacier of variying width, i.e with an
accumulation area twice as wide as the tongue."""
# TODO: @alexjarosch here we should have a look at MUSCLSuperBeeModel
# set do_plot = True to see the plots
models = [KarthausModel, FluxBasedModel, MUSCLSuperBeeModel]
steps = [15 * SEC_IN_DAY, None, None]
lens = []
surface_h = []
volume = []
yrs = np.arange(1, 500, 2)
for model, step in zip(models, steps):
fls = dummy_width_bed()
mb = LinearMassBalance(2600.)
model = model(fls, mb_model=mb, glen_a=self.glen_a, fixed_dt=step)
length = yrs * 0.
vol = yrs * 0.
for i, y in enumerate(yrs):
model.run_until(y)
length[i] = fls[-1].length_m
vol[i] = fls[-1].volume_km3
lens.append(length)
volume.append(vol)
surface_h.append(fls[-1].surface_h.copy())
if do_plot: # pragma: no cover
plt.figure()
plt.plot(yrs, lens[0], 'r')
plt.plot(yrs, lens[1], 'b')
plt.plot(yrs, lens[2], 'g')
plt.title('Compare Length')
plt.xlabel('years')
plt.ylabel('[m]')
plt.legend(['Karthaus', 'Flux', 'MUSCL-SuperBee'], loc=2)
plt.figure()
plt.plot(yrs, volume[0], 'r')
plt.plot(yrs, volume[1], 'b')
plt.plot(yrs, volume[2], 'g')
plt.title('Compare Volume')
plt.xlabel('years')
plt.ylabel('[km^3]')
plt.legend(['Karthaus', 'Flux', 'MUSCL-SuperBee'], loc=2)
plt.figure()
plt.plot(fls[-1].bed_h, 'k')
plt.plot(surface_h[0], 'r')
plt.plot(surface_h[1], 'b')
plt.plot(surface_h[2], 'g')
plt.title('Compare Shape')
plt.xlabel('[m]')
plt.ylabel('Elevation [m]')
plt.legend(['Bed', 'Karthaus', 'Flux', 'MUSCL-SuperBee'], loc=3)
plt.show()
np.testing.assert_almost_equal(lens[0][-1], lens[1][-1])
np.testing.assert_allclose(volume[0][-1], volume[1][-1], atol=2e-2)
np.testing.assert_allclose(utils.rmsd(lens[0], lens[1]), 0., atol=70)
np.testing.assert_allclose(utils.rmsd(volume[0], volume[1]), 0.,
atol=1e-2)
np.testing.assert_allclose(utils.rmsd(surface_h[0], surface_h[1]), 0.,
atol=5)