mg.create_node_array_zeros('topographic_elevation')
z = mg.create_node_array_zeros() + leftmost_elev
z += initial_slope * np.amax(mg.node_y) - initial_slope * mg.node_y
#put these values plus roughness into that field
mg.at_node['topographic_elevation'] = z + np.random.rand(len(z)) / 100000.
#set up grid's boundary conditions (bottom, right, top, left is inactive)
mg.set_closed_boundaries_at_grid_edges(False, True, False, True)
# Display a message
print 'Running ...'
#instantiate the components:
fr = FlowRouter(mg)
sp = SPEroder(mg, input_file)
diffuse = PerronNLDiffuse(mg, input_file)
lin_diffuse = DiffusionComponent(grid=mg, input_stream=input_file)
#perform the loops:
for i in xrange(nt):
#note the input arguments here are not totally standardized between modules
#mg = diffuse.diffuse(mg, i*dt)
mg = lin_diffuse.diffuse(mg, dt)
mg = fr.route_flow(grid=mg)
mg = sp.erode(mg)
##plot long profiles along channels
pylab.figure(6)
profile_IDs = prf.channel_nodes(mg, mg.at_node['steepest_slope'],
mg.at_node['drainage_area'],
mg.at_node['upstream_ID_order'],
mg = RasterModelGrid(nrows, ncols, dx)
# mg.set_looped_boundaries(True, True)
mg.set_closed_boundaries_at_grid_edges(True, True, True, True)
#create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
z = mg.create_node_array_zeros() + init_elev
mg.at_node['topographic__elevation'] = z + numpy.random.rand(len(z)) / 1000.
# Display a message
print('Running ...')
start_time = time.time()
#instantiate the component:
diffusion_component = PerronNLDiffuse(mg, './drive_perron_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:
diffusion_component.input_timestep(dt)
mg.at_node['topographic__elevation'][mg.active_nodes[:(
mg.active_nodes.shape[0] // 2.)]] += uplift * dt #half block uplift
mg = diffusion_component.diffuse(mg, elapsed_time)
elapsed_time += dt
print('Total run time = ' + str(time.time() - start_time) + ' seconds.')
