def flowlaw_test():
ctx = PISM.context_from_options(PISM.PETSc.COMM_WORLD, "flowlaw_test")
EC = ctx.enthalpy_converter()
ff = PISM.FlowLawFactory("sia_", ctx.config(), EC)
law = ff.create()
TpaC = [-30, -5, 0, 0]
depth = 2000
gs = 1e-3
omega = [0.0, 0.0, 0.0, 0.005]
sigma = [1e4, 5e4, 1e5, 1.5e5]
p = EC.pressure(depth)
Tm = EC.melting_temperature(p)
print "flow law: \"%s\"" % law.name()
print "pressure = %9.3e Pa = (hydrostatic at depth %7.2f m)" % (p, depth)
print "flowtable:"
print " (dev stress) (abs temp) (liq frac) = (flow)"
for i in range(4):
for j in range(4):
T = Tm + TpaC[j]
E = EC.enthalpy(T, omega[j], p)
flowcoeff = law.flow(sigma[i], E, p, gs)
print " %10.2e %10.3f %9.3f = %10.6e" % (sigma[i], T,
omega[j], flowcoeff)
def flowlaw_test():
data = {}
data["arr"] = [
3.91729503e-18, 6.42803396e-17, 1.05746828e-16, 1.05746828e-16,
9.79323757e-17, 1.60700849e-15, 2.64367070e-15, 2.64367070e-15,
3.91729503e-16, 6.42803396e-15, 1.05746828e-14, 1.05746828e-14,
8.81391381e-16, 1.44630764e-14, 2.37930363e-14, 2.37930363e-14
]
data["arrwarm"] = [
1.59798478e-19, 1.04360343e-16, 3.30653997e-16, 3.30653997e-16,
3.99496194e-18, 2.60900856e-15, 8.26634991e-15, 8.26634991e-15,
1.59798478e-17, 1.04360343e-14, 3.30653997e-14, 3.30653997e-14,
3.59546574e-17, 2.34810771e-14, 7.43971492e-14, 7.43971492e-14
]
data["gk"] = [
7.32439717e-17, 5.49629815e-15, 2.41713799e-14, 2.41713799e-14,
2.16360102e-16, 1.93446849e-14, 9.04428380e-14, 9.04428380e-14,
4.06191746e-16, 3.39770143e-14, 1.60574708e-13, 1.60574708e-13,
6.68976826e-16, 4.80704753e-14, 2.27816175e-13, 2.27816175e-13
]
data["gpbld"] = [
4.65791754e-18, 1.45114704e-16, 4.54299921e-16, 8.66009225e-16,
1.16447938e-16, 3.62786761e-15, 1.13574980e-14, 2.16502306e-14,
4.65791754e-16, 1.45114704e-14, 4.54299921e-14, 8.66009225e-14,
1.04803145e-15, 3.26508084e-14, 1.02217482e-13, 1.94852076e-13
]
data["hooke"] = [
5.26775897e-18, 2.12325906e-16, 5.32397091e-15, 5.32397091e-15,
1.31693974e-16, 5.30814764e-15, 1.33099273e-13, 1.33099273e-13,
5.26775897e-16, 2.12325906e-14, 5.32397091e-13, 5.32397091e-13,
1.18524577e-15, 4.77733287e-14, 1.19789346e-12, 1.19789346e-12
]
data["isothermal_glen"] = [
3.16890000e-16, 3.16890000e-16, 3.16890000e-16, 3.16890000e-16,
7.92225000e-15, 7.92225000e-15, 7.92225000e-15, 7.92225000e-15,
3.16890000e-14, 3.16890000e-14, 3.16890000e-14, 3.16890000e-14,
7.13002500e-14, 7.13002500e-14, 7.13002500e-14, 7.13002500e-14
]
data["pb"] = [
4.65791754e-18, 1.45114704e-16, 4.54299921e-16, 4.54299921e-16,
1.16447938e-16, 3.62786761e-15, 1.13574980e-14, 1.13574980e-14,
4.65791754e-16, 1.45114704e-14, 4.54299921e-14, 4.54299921e-14,
1.04803145e-15, 3.26508084e-14, 1.02217482e-13, 1.02217482e-13
]
data["gpbld3"] = [
4.65791754e-18, 1.45114704e-16, 4.54299921e-16, 8.66009225e-16,
1.16447938e-16, 3.62786761e-15, 1.13574980e-14, 2.16502306e-14,
4.65791754e-16, 1.45114704e-14, 4.54299921e-14, 8.66009225e-14,
1.04803145e-15, 3.26508084e-14, 1.02217482e-13, 1.94852076e-13
]
ctx = PISM.context_from_options(PISM.PETSc.COMM_WORLD, "flowlaw_test")
EC = ctx.enthalpy_converter()
factory = PISM.FlowLawFactory("stress_balance.sia.", ctx.config(), EC)
for flow_law_name, data in data.iteritems():
check_flow_law(factory, flow_law_name, EC, np.array(data))
def flowlaw_test():
data = {}
data["arr"] = [
3.91729503e-18, 6.42803396e-17, 1.05746828e-16, 1.05746828e-16,
9.79323757e-17, 1.60700849e-15, 2.64367070e-15, 2.64367070e-15,
3.91729503e-16, 6.42803396e-15, 1.05746828e-14, 1.05746828e-14,
8.81391381e-16, 1.44630764e-14, 2.37930363e-14, 2.37930363e-14
]
data["arrwarm"] = [
1.59798478e-19, 1.04360343e-16, 3.30653997e-16, 3.30653997e-16,
3.99496194e-18, 2.60900856e-15, 8.26634991e-15, 8.26634991e-15,
1.59798478e-17, 1.04360343e-14, 3.30653997e-14, 3.30653997e-14,
3.59546574e-17, 2.34810771e-14, 7.43971492e-14, 7.43971492e-14
]
data["gk"] = [
1.1636334595808724e-16, 6.217445758362754e-15, 2.5309103327753672e-14,
2.5309103327753672e-14, 2.5947947614616463e-16, 2.0065832524499375e-14,
9.158056141786197e-14, 9.158056141786197e-14, 4.493111202368685e-16,
3.469816186746473e-14, 1.6171243121742907e-13, 1.6171243121742907e-13,
7.12096200221403e-16, 4.879162291119208e-14, 2.2895389865988545e-13,
2.2895389865988545e-13
]
data["gpbld"] = [
4.65791754e-18, 1.45114704e-16, 4.54299921e-16, 8.66009225e-16,
1.16447938e-16, 3.62786761e-15, 1.13574980e-14, 2.16502306e-14,
4.65791754e-16, 1.45114704e-14, 4.54299921e-14, 8.66009225e-14,
1.04803145e-15, 3.26508084e-14, 1.02217482e-13, 1.94852076e-13
]
data["hooke"] = [
5.26775897e-18, 2.12325906e-16, 5.32397091e-15, 5.32397091e-15,
1.31693974e-16, 5.30814764e-15, 1.33099273e-13, 1.33099273e-13,
5.26775897e-16, 2.12325906e-14, 5.32397091e-13, 5.32397091e-13,
1.18524577e-15, 4.77733287e-14, 1.19789346e-12, 1.19789346e-12
]
data["isothermal_glen"] = [
3.16890000e-16, 3.16890000e-16, 3.16890000e-16, 3.16890000e-16,
7.92225000e-15, 7.92225000e-15, 7.92225000e-15, 7.92225000e-15,
3.16890000e-14, 3.16890000e-14, 3.16890000e-14, 3.16890000e-14,
7.13002500e-14, 7.13002500e-14, 7.13002500e-14, 7.13002500e-14
]
data["pb"] = [
4.65791754e-18, 1.45114704e-16, 4.54299921e-16, 4.54299921e-16,
1.16447938e-16, 3.62786761e-15, 1.13574980e-14, 1.13574980e-14,
4.65791754e-16, 1.45114704e-14, 4.54299921e-14, 4.54299921e-14,
1.04803145e-15, 3.26508084e-14, 1.02217482e-13, 1.02217482e-13
]
ctx = PISM.context_from_options(PISM.PETSc.COMM_WORLD, "flowlaw_test")
EC = ctx.enthalpy_converter()
factory = PISM.FlowLawFactory("stress_balance.sia.", ctx.config(), EC)
for flow_law_name, data in data.items():
check_flow_law(factory, flow_law_name, EC, np.array(data))
ctx = PISM.Context()
filename = ctx.config.get_string("input.file")
# create the grid using the input file
grid = PISM.IceGrid.FromFile(ctx.ctx, filename, ["thk"], PISM.CELL_CENTER)
# initialize geometric data
geometry = PISM.Geometry(grid)
geometry.ice_thickness.regrid(filename)
geometry.bed_elevation.regrid(filename)
geometry.sea_level_elevation.set(0.0)
geometry.ensure_consistency(0)
# allocate the fracture density model
flow_law = PISM.FlowLawFactory("stress_balance.ssa.", ctx.config,
ctx.enthalpy_converter).create()
fracture = PISM.FractureDensity(grid, flow_law)
# initialize it using zero fracture age and density
fracture.initialize()
# read in the velocity field
velocity = PISM.IceModelVec2V(grid, "_ssa_bc", PISM.WITHOUT_GHOSTS)
velocity.set_attrs("", "x-component of the ice velocity", "m s-1", "m s-1", "",
0)
velocity.set_attrs("", "y-component of the ice velocity", "m s-1", "m s-1", "",
1)
velocity.regrid(filename)
# find the longest time step we can take with this velocity field
data = PISM.max_timestep_cfl_2d(geometry.ice_thickness, geometry.cell_type,
