def test_mixed_bed(self):
models = [KarthausModel, FluxBasedModel]
flss = [dummy_constant_bed(), dummy_mixed_bed()]
lens = []
surface_h = []
volume = []
widths = []
yrs = np.arange(1, 700, 2)
# yrs = np.arange(1, 100, 2)
for model, fls in zip(models, flss):
mb = LinearMassBalance(2800.)
model = model(fls,
mb_model=mb,
fs=self.fs_old,
glen_a=self.aglen_old,
fixed_dt=14 * SEC_IN_DAY)
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] = fls[-1].volume_km3
lens.append(length)
volume.append(vol)
widths.append(fls[-1].widths_m.copy())
surface_h.append(fls[-1].surface_h.copy())
np.testing.assert_allclose(volume[0][-1], volume[1][-1], atol=2e-2)
if do_plot: # pragma: no cover
plt.plot(lens[0], 'r', label='normal')
plt.plot(lens[1], 'b', label='mixed')
plt.legend()
plt.show()
plt.plot(volume[0], 'r', label='normal')
plt.plot(volume[1], 'b', label='mixed')
plt.legend()
plt.show()
plt.plot(fls[-1].bed_h, 'k')
plt.plot(surface_h[0], 'r', label='normal')
plt.plot(surface_h[1], 'b', label='mixed')
plt.legend()
plt.show()
plt.plot(widths[0], 'r', label='normal')
plt.plot(widths[1], 'b', label='mixed')
plt.legend()
plt.show()
def test_mixed_bed(self):
models = [KarthausModel, FluxBasedModel]
flss = [dummy_constant_bed(), dummy_mixed_bed()]
lens = []
surface_h = []
volume = []
widths = []
yrs = np.arange(1, 700, 2)
# yrs = np.arange(1, 100, 2)
for model, fls in zip(models, flss):
mb = LinearMassBalance(2800.)
model = model(fls, mb_model=mb, fs=self.fs_old,
glen_a=self.aglen_old,
fixed_dt=14 * SEC_IN_DAY)
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)
widths.append(fls[-1].widths_m.copy())
surface_h.append(fls[-1].surface_h.copy())
np.testing.assert_allclose(volume[0][-1], volume[1][-1], atol=2e-2)
if do_plot: # pragma: no cover
plt.plot(lens[0], 'r', label='normal')
plt.plot(lens[1], 'b', label='mixed')
plt.legend()
plt.show()
plt.plot(volume[0], 'r', label='normal')
plt.plot(volume[1], 'b', label='mixed')
plt.legend()
plt.show()
plt.plot(fls[-1].bed_h, 'k')
plt.plot(surface_h[0], 'r', label='normal')
plt.plot(surface_h[1], 'b', label='mixed')
plt.legend()
plt.show()
plt.plot(widths[0], 'r', label='normal')
plt.plot(widths[1], 'b', label='mixed')
plt.legend()
plt.show()
def test_simple_flux_gate(self):
mb = ScalarMassBalance()
model = FluxBasedModel(dummy_constant_bed(), mb_model=mb,
flux_gate_thickness=150, flux_gate_build_up=50)
model.run_until(1000)
assert_allclose(model.volume_m3, model.flux_gate_m3_since_y0)
model = FluxBasedModel(dummy_mixed_bed(), mb_model=mb,
flux_gate_thickness=150, flux_gate_build_up=50)
model.run_until(1000)
assert_allclose(model.volume_m3, model.flux_gate_m3_since_y0)
# Make sure that we cover the types of beds
beds = np.unique(model.fls[0].shape_str[model.fls[0].thick > 0])
assert len(beds) == 2
if do_plot: # pragma: no cover
plt.plot(model.fls[-1].bed_h, 'k')
plt.plot(model.fls[-1].surface_h, 'b')
plt.show()