dt = 0.5
g = mg.calculate_gradients_at_active_links(mg.at_node['topographic__elevation'])
map_link_end_node_max_value_to_link(mg, 'water__volume_flux_magnitude')
kd_link = 1.e6*mg.at_link['water__volume_flux_magnitude'][mg.active_links]
qs = -kd_link*g
dqsdx = mg.calculate_flux_divergence_at_nodes(qs)
dzdt = -dqsdx
mg.at_node['topographic__elevation'][interior_nodes] += dzdt[interior_nodes]*dt
if i%50==0:
print('loop '+str(i))
section_downfan.append(mg.node_vector_to_raster(mg.at_node['topographic__elevation'])[1:,section_col].copy())
for i in xrange(3000):
mg.at_node['topographic__elevation'][section_col] = mg.at_node['topographic__elevation'][inlet_node]+1.
#now pull down hard on the BL:
mg.at_node['topographic__elevation'][mg.top_edge_node_ids()[mg.number_of_node_columns//2]] =- 10.
pfr.route_flow(route_on_diagonals=True)
kd = mg.at_node['water__volume_flux_magnitude'] # 0.01 m2 per year
# dt = np.nanmin(0.2*mg.dx*mg.dx/kd) # CFL condition
dt = 0.5
g = mg.calculate_gradients_at_active_links(mg.at_node['topographic__elevation'])
map_link_end_node_max_value_to_link(mg, 'water__volume_flux_magnitude')
kd_link = 1.e6*mg.at_link['water__volume_flux_magnitude'][mg.active_links]
qs = -kd_link*g
dqsdx = mg.calculate_flux_divergence_at_nodes(qs)
dzdt = -dqsdx
mg.at_node['topographic__elevation'][interior_nodes] += dzdt[interior_nodes]*dt
if i%50==0:
print('loop '+str(i))
section_downfan.append(mg.node_vector_to_raster(mg.at_node['topographic__elevation'])[1:,section_col].copy())
