def config(self, step):
'''Generates a config file containing flags and parameters
for a particular experiment and step.
This takes care of flags and parameters that *cannot* be set using
command-line options. (We try to use command-line options whenever we can.)
'''
filename = "MISMIP_conf_%s_A%s.nc" % (self.experiment, step)
nc = NC(filename, 'w', format="NETCDF3_CLASSIC")
var = nc.createVariable("pism_overrides", 'i')
attrs = {
"is_dry_simulation": "no",
"include_bmr_in_continuity": "no",
"compute_surf_grad_inward_ssa": "no",
"ice_softness": MISMIP.A(self.experiment, step),
"ice_density": MISMIP.rho_i(),
"sea_water_density": MISMIP.rho_w(),
"bootstrapping_geothermal_flux_value_no_var": 0.0,
"Glen_exponent": MISMIP.n(),
"standard_gravity": MISMIP.g(),
"ocean_sub_shelf_heat_flux_into_ice": 0.0,
"bed_smoother_range": 0.0,
}
for name, value in attrs.iteritems():
var.setncattr(name, value)
nc.close()
return filename
def config(self, step):
'''Generates a config file containing flags and parameters
for a particular experiment and step.
This takes care of flags and parameters that *cannot* be set using
command-line options. (We try to use command-line options whenever we can.)
'''
filename = "MISMIP_conf_%s_A%s.nc" % (self.experiment, step)
nc = NC(filename, 'w', format="NETCDF3_CLASSIC")
var = nc.createVariable("pism_overrides", 'i')
attrs = {"is_dry_simulation": "no",
"include_bmr_in_continuity": "no",
"compute_surf_grad_inward_ssa": "no",
"ice_softness": MISMIP.A(self.experiment, step),
"ice_density": MISMIP.rho_i(),
"sea_water_density": MISMIP.rho_w(),
"bootstrapping_geothermal_flux_value_no_var": 0.0,
"Glen_exponent": MISMIP.n(),
"standard_gravity": MISMIP.g(),
"ocean_sub_shelf_heat_flux_into_ice": 0.0,
}
if self.model != 1:
attrs["bed_smoother_range"] = 0.0
for name, value in attrs.iteritems():
var.setncattr(name, value)
nc.close()
return filename
def plot_profile(in_file, out_file):
print(
"Reading %s to plot geometry profile for model %s, experiment %s, grid mode %s, step %s"
% (in_file, model, experiment, mode, step))
if out_file is None:
out_file = os.path.splitext(in_file)[0] + "-profile.pdf"
mask = read(in_file, 'mask')
usurf = read(in_file, 'usurf')
topg = read(in_file, 'topg')
thk = read(in_file, 'thk')
x = read(in_file, 'x')
# theoretical grounding line position
xg = MISMIP.x_g(experiment, step)
# modeled grounding line position
xg_PISM = find_grounding_line(x, topg, thk, mask)
# mask out ice-free areas
usurf = np.ma.array(usurf, mask=mask == 4)
# compute the lower surface elevation
lsrf = topg.copy()
lsrf[mask == 3] = -MISMIP.rho_i() / MISMIP.rho_w() * thk[mask == 3]
lsrf = np.ma.array(lsrf, mask=mask == 4)
# convert x to kilometers
x /= 1e3
figure(1)
ax = subplot(111)
hold(True)
plot(x, np.zeros_like(x), ls='dotted', color='red')
plot(x, topg, color='black')
plot(x, usurf, 'o', color='blue', markersize=4)
plot(x, lsrf, 'o', color='blue', markersize=4)
xlabel('distance from the divide, km')
ylabel('elevation, m')
title("MISMIP experiment %s, step %d" % (experiment, step))
text(0.6,
0.9,
"$x_g$ (model) = %4.0f km" % (xg_PISM / 1e3),
color='r',
transform=ax.transAxes)
text(0.6,
0.85,
"$x_g$ (theory) = %4.0f km" % (xg / 1e3),
color='black',
transform=ax.transAxes)
_, _, ymin, ymax = axis(xmin=0, xmax=x.max())
vlines(xg / 1e3, ymin, ymax, linestyles='dashed', color='black')
vlines(xg_PISM / 1e3, ymin, ymax, linestyles='dashed', color='red')
print("Saving '%s'...\n" % out_file)
savefig(out_file)
def plot_profile(in_file, out_file):
print("Reading %s to plot geometry profile for model %s, experiment %s, grid mode %s, step %s" % (
in_file, model, experiment, mode, step))
if out_file is None:
out_file = os.path.splitext(in_file)[0] + "-profile.pdf"
mask = read(in_file, 'mask')
usurf = read(in_file, 'usurf')
topg = read(in_file, 'topg')
thk = read(in_file, 'thk')
x = read(in_file, 'x')
# theoretical grounding line position
xg = MISMIP.x_g(experiment, step)
# modeled grounding line position
xg_PISM = find_grounding_line(x, topg, thk, mask)
# mask out ice-free areas
usurf = np.ma.array(usurf, mask=mask == 4)
# compute the lower surface elevation
lsrf = topg.copy()
lsrf[mask == 3] = -MISMIP.rho_i() / MISMIP.rho_w() * thk[mask == 3]
lsrf = np.ma.array(lsrf, mask=mask == 4)
# convert x to kilometers
x /= 1e3
figure(1)
ax = subplot(111)
hold(True)
plot(x, np.zeros_like(x), ls='dotted', color='red')
plot(x, topg, color='black')
plot(x, usurf, 'o', color='blue', markersize=4)
plot(x, lsrf, 'o', color='blue', markersize=4)
xlabel('distance from the divide, km')
ylabel('elevation, m')
title("MISMIP experiment %s, step %d" % (experiment, step))
text(0.6, 0.9, "$x_g$ (model) = %4.0f km" % (xg_PISM / 1e3), color='r',
transform=ax.transAxes)
text(0.6, 0.85, "$x_g$ (theory) = %4.0f km" % (xg / 1e3), color='black',
transform=ax.transAxes)
_, _, ymin, ymax = axis(xmin=0, xmax=x.max())
vlines(xg / 1e3, ymin, ymax, linestyles='dashed', color='black')
vlines(xg_PISM / 1e3, ymin, ymax, linestyles='dashed', color='red')
print("Saving '%s'...\n" % out_file)
savefig(out_file)
def config(self, step):
'''Generates a config file containing flags and parameters
for a particular experiment and step.
This takes care of flags and parameters that *cannot* be set using
command-line options. (We try to use command-line options whenever we can.)
'''
filename = "MISMIP_conf_%s_A%s.nc" % (self.experiment, step)
nc = NC(filename, 'w', format="NETCDF3_CLASSIC")
var = nc.createVariable("pism_overrides", 'i')
attrs = {
"ocean.always_grounded":
"no",
"geometry.update.use_basal_melt_rate":
"no",
"stress_balance.ssa.compute_surface_gradient_inward":
"no",
"flow_law.isothermal_Glen.ice_softness":
MISMIP.A(self.experiment, step),
"constants.ice.density":
MISMIP.rho_i(),
"constants.sea_water.density":
MISMIP.rho_w(),
"bootstrapping.defaults.geothermal_flux":
0.0,
"stress_balance.ssa.Glen_exponent":
MISMIP.n(),
"constants.standard_gravity":
MISMIP.g(),
"ocean.sub_shelf_heat_flux_into_ice":
0.0,
}
if self.model != 1:
attrs["stress_balance.sia.bed_smoother.range"] = 0.0
for name, value in attrs.items():
var.setncattr(name, value)
nc.close()
return filename
def thickness(x, step, Q0, H0, calving_front=1750e3, perturbation='default'):
# we expect x to have an odd number of grid points so that one of them is
# at 0
if x.size % 2 != 1:
raise ValueError("x has to have an odd number of points, got %d",
x.size)
dx = x[1] - x[0]
A0 = MISMIP.A('1a', step)
print(A0, A0**(-1.0 / 3.0))
B0 = A0**(-1.0 / MISMIP.n())
#C = (900.0*9.8/(4.0*B0)*(1.0-900.0/1000.0))**3.0
C = (MISMIP.rho_i() * MISMIP.g() / (4.0 * B0) *
(1.0 - MISMIP.rho_i() / MISMIP.rho_w()))**MISMIP.n()
thk = (4.0 * C * np.maximum(x - 100e3, eps) / Q0 + H0**(-4.0))**(-0.25)
#thk = (x-100e3)*(-1e-4) + 800.0
thk[x < 100e3] = 800.0
thk[0] = 0.0
if perturbation == 'p1':
#perturbation i
thk[x > calving_front - 1 * dx] -= 50.0
elif perturbation == 'p2':
#perutbation i-1
thk[x > calving_front - 2 * dx] -= 50.0
thk[x > calving_front - 1 * dx] += 50.0
elif perturbation == 'p3':
#perutbation i-2
thk[x > calving_front - 3 * dx] -= 50.0
thk[x > calving_front - 2 * dx] += 50.0
#perutbation gli+1
#thk[ x > 100e3 + 0.5*dx ] -= 200.0
#thk[ x > 100e3+1.5*dx ] += 200.0
#perutbation gli+2
#thk[ x > 100e3 + 1.5*dx ] -= 200.0
#thk[ x > 100e3+2.5*dx ] += 200.0
thk[x > calving_front] = 0.0
return np.tile(thk, (3, 1))
def f(j):
"See equation (7) in Pattyn et al, 'Role of transition zones in marine ice sheet dynamics', 2005."
z_sl = 0
return (z_sl - topg[j]) * MISMIP.rho_w() / (MISMIP.rho_i() * thk[j])
def f(j):
"See equation (7) in Pattyn et al, 'Role of transition zones in marine ice sheet dynamics', 2005."
z_sl = 0
return (z_sl - topg[j]) * MISMIP.rho_w() / (MISMIP.rho_i() * thk[j])