init_elev = inputs.read_float("init_elev")
uplift_perstep = inputs.read_float("uplift_rate") * dt
rock_stress_param = inputs.read_float("rock_density") * 9.81
mg = RasterModelGrid(nrows, ncols, dx)
# create the fields in the grid
mg.add_zeros("topographic__elevation", at="node")
z = mg.zeros(at="node") + init_elev
mg["node"]["topographic__elevation"] = z + np.random.rand(len(z)) / 1000.
# make some surface load stresses in a field to test
mg.at_node["surface_load__stress"] = np.zeros(nrows * ncols, dtype=float)
# instantiate:
gf = gFlex(mg, "./coupled_SP_gflex_params.txt")
fsp = FastscapeEroder(mg, "./coupled_SP_gflex_params.txt")
sp = StreamPowerEroder(mg, "./coupled_SP_gflex_params.txt")
fr = FlowAccumulator(mg, flow_director="D8")
# perform the loop:
elapsed_time = 0. # total time in simulation
while elapsed_time < time_to_run:
print(elapsed_time)
if elapsed_time + dt > time_to_run:
print("Short step!")
dt = time_to_run - elapsed_time
mg = fr.run_one_step()
# mg = fsp.erode(mg)
mg, _, _ = sp.erode(
mg,
init_elev = inputs.read_float('init_elev')
uplift_perstep = inputs.read_float('uplift_rate')*dt
rock_stress_param = inputs.read_float('rock_density')*9.81
mg = RasterModelGrid(nrows, ncols, dx)
#create the fields in the grid
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node') + init_elev
mg['node'][ 'topographic__elevation'] = z + np.random.rand(len(z))/1000.
#make some surface load stresses in a field to test
mg.at_node['surface_load__stress'] = np.zeros(nrows*ncols, dtype=float)
#instantiate:
gf = gFlex(mg, './coupled_SP_gflex_params.txt')
fsp = FastscapeEroder(mg, './coupled_SP_gflex_params.txt')
sp = StreamPowerEroder(mg, './coupled_SP_gflex_params.txt')
fr = FlowRouter(mg)
#perform the loop:
elapsed_time = 0. #total time in simulation
while elapsed_time < time_to_run:
print(elapsed_time)
if elapsed_time+dt>time_to_run:
print("Short step!")
dt = time_to_run - elapsed_time
mg = fr.route_flow()
#mg = fsp.erode(mg)
mg,_,_ = sp.erode(mg, dt, node_drainage_areas='drainage_area', slopes_at_nodes='topographic__steepest_slope')
mg.at_node['surface_load__stress'] = (mg.at_node['topographic__elevation']+1000)*rock_stress_param
init_elev = inputs.read_float("init_elev")
uplift_perstep = inputs.read_float("uplift_rate") * dt
rock_stress_param = inputs.read_float("rock_density") * 9.81
mg = RasterModelGrid((nrows, ncols), xy_spacing=dx)
# create the fields in the grid
mg.add_zeros("topographic__elevation", at="node")
z = mg.zeros(at="node") + init_elev
mg["node"]["topographic__elevation"] = z + np.random.rand(len(z)) / 1000.
# make some surface load stresses in a field to test
mg.at_node["surface_load__stress"] = np.zeros(nrows * ncols, dtype=float)
# instantiate:
gf = gFlex(mg, "./coupled_SP_gflex_params.txt")
fsp = FastscapeEroder(mg, "./coupled_SP_gflex_params.txt")
sp = StreamPowerEroder(mg, "./coupled_SP_gflex_params.txt")
fr = FlowAccumulator(mg, flow_director="D8")
# perform the loop:
elapsed_time = 0. # total time in simulation
while elapsed_time < time_to_run:
print(elapsed_time)
if elapsed_time + dt > time_to_run:
print("Short step!")
dt = time_to_run - elapsed_time
mg = fr.run_one_step()
# mg = fsp.erode(mg)
mg, _, _ = sp.erode(
mg,
init_elev = inputs.read_float('init_elev')
mg = RasterModelGrid(nrows, ncols, dx)
#create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
z = mg.create_node_array_zeros() + init_elev
mg['node']['topographic__elevation'] = z + np.random.rand(len(z)) / 1000.
#make some surface load stresses in a field to test
mg.at_node['surface_load__stress'] = np.zeros(nrows * ncols, dtype=float)
square_qs = mg.at_node['surface_load__stress'].view().reshape((nrows, ncols))
square_qs[10:40, 10:40] += 1.e6
#instantiate:
gf = gFlex(mg, './AW_gflex_params.txt')
#perform the loop:
elapsed_time = 0. #total time in simulation
while elapsed_time < time_to_run:
print elapsed_time
if elapsed_time + dt > time_to_run:
print "Short step!"
dt = time_to_run - elapsed_time
gf.flex_lithosphere()
elapsed_time += dt
pylab.figure(1)
im = imshow_node_grid(mg, 'topographic__elevation') # display a colored image
pylab.figure(2)
init_elev = inputs.read_float('init_elev')
mg = RasterModelGrid(nrows, ncols, dx)
#create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
z = mg.create_node_array_zeros() + init_elev
mg['node'][ 'topographic__elevation'] = z + np.random.rand(len(z))/1000.
#make some surface load stresses in a field to test
mg.at_node['surface_load__stress'] = np.zeros(nrows*ncols, dtype=float)
square_qs = mg.at_node['surface_load__stress'].view().reshape((nrows,ncols))
square_qs[10:40, 10:40] += 1.e6
#instantiate:
gf = gFlex(mg, './AW_gflex_params.txt')
#perform the loop:
elapsed_time = 0. #total time in simulation
while elapsed_time < time_to_run:
print elapsed_time
if elapsed_time+dt>time_to_run:
print "Short step!"
dt = time_to_run - elapsed_time
gf.flex_lithosphere()
elapsed_time += dt
pylab.figure(1)
im = imshow_node_grid(mg, 'topographic__elevation') # display a colored image
pylab.figure(2)
