def test_sp_discharges_new(): input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = 5 ncols = 5 dx = inputs.read_float('dx') dt = inputs.read_float('dt') mg = RasterModelGrid(nrows, ncols, dx) mg.add_zeros('topographic__elevation', at='node') z = np.array([ 5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4., 4., 5., 5., 5., 5., 5., 5. ]) mg['node']['topographic__elevation'] = z fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) # perform the loop (once!) for i in range(1): fr.route_flow() sp.run_one_step(dt) z_tg = np.array([ 5., 5., 0., 5., 5., 5., 1.47759225, 0.43050087, 1.47759225, 5., 5., 2.32883687, 1.21525044, 2.32883687, 5., 5., 3.27261262, 3.07175015, 3.27261262, 5., 5., 5., 5., 5., 5. ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_storms(): input_file_string = os.path.join(_THIS_DIR, 'drive_sp_params_storms.txt') inputs = ModelParameterDictionary(input_file_string) nrows = inputs.read_int('nrows') ncols = inputs.read_int('ncols') dx = inputs.read_float('dx') dt = inputs.read_float('dt') time_to_run = inputs.read_float('run_time') uplift = inputs.read_float('uplift_rate') mg = RasterModelGrid(nrows, ncols, dx) mg.add_zeros('topographic__elevation', at='node') z = mg.zeros(at='node') mg['node']['topographic__elevation'] = z + np.random.rand(len(z)) / 1000. mg.add_zeros('water__unit_flux_in', at='node') precip = PrecipitationDistribution(input_file=input_file_string) fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) for (interval_duration, rainfall_rate) in \ precip.yield_storm_interstorm_duration_intensity(): if rainfall_rate != 0.: mg.at_node['water__unit_flux_in'].fill(rainfall_rate) mg = fr.route_flow() sp.run_one_step(dt) mg.at_node['topographic__elevation'][ mg.core_nodes] += uplift * interval_duration
def test_sp_discharges_new(): input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt') inputs = ModelParameterDictionary(input_str) nrows = 5 ncols = 5 dx = inputs.read_float('dx') dt = inputs.read_float('dt') mg = RasterModelGrid(nrows, ncols, dx) mg.add_zeros('topographic__elevation', at='node') z = np.array([ 5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4., 4., 5., 5., 5., 5., 5., 5. ]) mg['node']['topographic__elevation'] = z fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) # perform the loop (once!) for i in range(1): fr.route_flow() sp.run_one_step(dt) z_tg = np.array([ 5.00000000e+00, 5.00000000e+00, 0.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 1.29289322e+00, 1.00000000e-06, 1.29289322e+00, 5.00000000e+00, 5.00000000e+00, 2.29289322e+00, 1.00000000e+00, 2.29289322e+00, 5.00000000e+00, 5.00000000e+00, 3.29289322e+00, 3.00000000e+00, 3.29289322e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00 ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_discharges_new(): input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = 5 ncols = 5 dx = inputs.read_float('dx') dt = inputs.read_float('dt') mg = RasterModelGrid(nrows, ncols, dx) mg.add_zeros('topographic__elevation', at='node') z = np.array([5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4., 4., 5., 5., 5., 5., 5., 5.]) mg['node']['topographic__elevation'] = z fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) # perform the loop (once!) for i in range(1): fr.route_flow() sp.run_one_step(dt) z_tg = np.array([5. , 5. , 0. , 5. , 5. , 5. , 1.47759225, 0.43050087, 1.47759225, 5. , 5. , 2.32883687, 1.21525044, 2.32883687, 5. , 5. , 3.27261262, 3.07175015, 3.27261262, 5. , 5. , 5. , 5. , 5. , 5. ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_new(): """ Tests new style component instantiation and run. """ input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = inputs.read_int('nrows') ncols = inputs.read_int('ncols') dx = inputs.read_float('dx') dt = inputs.read_float('dt') time_to_run = inputs.read_float('run_time') uplift = inputs.read_float('uplift_rate') init_elev = inputs.read_float('init_elev') mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx)) mg.set_closed_boundaries_at_grid_edges(False, False, True, True) mg.add_zeros('topographic__elevation', at='node') z = mg.zeros(at='node') + init_elev numpy.random.seed(0) mg['node']['topographic__elevation'] = z + \ numpy.random.rand(len(z)) / 1000. fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) elapsed_time = 0. while elapsed_time < time_to_run: if elapsed_time + dt > time_to_run: dt = time_to_run - elapsed_time fr.route_flow() sp.run_one_step(dt) mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt elapsed_time += dt z_trg = numpy.array([5.48813504e-04, 7.15189366e-04, 6.02763376e-04, 5.44883183e-04, 4.23654799e-04, 6.45894113e-04, 1.01830760e-02, 9.58036770e-03, 6.55865452e-03, 3.83441519e-04, 7.91725038e-04, 1.00142749e-02, 8.80798884e-03, 5.78387585e-03, 7.10360582e-05, 8.71292997e-05, 9.81911417e-03, 9.52243406e-03, 7.55093226e-03, 8.70012148e-04, 9.78618342e-04, 1.00629755e-02, 8.49253798e-03, 5.33216680e-03, 1.18274426e-04, 6.39921021e-04, 9.88956320e-03, 9.47119567e-03, 6.43790696e-03, 4.14661940e-04, 2.64555612e-04, 1.00450743e-02, 8.37262908e-03, 5.21540904e-03, 1.87898004e-05, 6.17635497e-04, 9.21286940e-03, 9.34022513e-03, 7.51114450e-03, 6.81820299e-04, 3.59507901e-04, 6.19166921e-03, 7.10456176e-03, 6.62585507e-03, 6.66766715e-04, 6.70637870e-04, 2.10382561e-04, 1.28926298e-04, 3.15428351e-04, 3.63710771e-04]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_sp_new(): """ Tests new style component instantiation and run. """ input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = inputs.read_int('nrows') ncols = inputs.read_int('ncols') dx = inputs.read_float('dx') dt = inputs.read_float('dt') time_to_run = inputs.read_float('run_time') uplift = inputs.read_float('uplift_rate') init_elev = inputs.read_float('init_elev') mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx)) mg.set_closed_boundaries_at_grid_edges(False, False, True, True) mg.add_zeros('topographic__elevation', at='node') z = mg.zeros(at='node') + init_elev numpy.random.seed(0) mg['node']['topographic__elevation'] = z + \ numpy.random.rand(len(z)) / 1000. fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) elapsed_time = 0. while elapsed_time < time_to_run: if elapsed_time + dt > time_to_run: dt = time_to_run - elapsed_time fr.route_flow() sp.run_one_step(dt) mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt elapsed_time += dt z_trg = numpy.array([5.48813504e-04, 7.15189366e-04, 6.02763376e-04, 5.44883183e-04, 4.23654799e-04, 6.45894113e-04, 1.02783376e-02, 9.66667235e-03, 6.15060782e-03, 3.83441519e-04, 7.91725038e-04, 1.00905776e-02, 8.98955843e-03, 5.32836181e-03, 7.10360582e-05, 8.71292997e-05, 9.96377080e-03, 9.63738797e-03, 7.31213677e-03, 8.70012148e-04, 9.78618342e-04, 1.02124693e-02, 8.78386002e-03, 4.88161060e-03, 1.18274426e-04, 6.39921021e-04, 1.00377580e-02, 9.54340293e-03, 6.05173814e-03, 4.14661940e-04, 2.64555612e-04, 1.02160196e-02, 8.61600088e-03, 4.77005225e-03, 1.87898004e-05, 6.17635497e-04, 9.30445558e-03, 9.48713993e-03, 7.25689742e-03, 6.81820299e-04, 3.59507901e-04, 5.79161813e-03, 6.83777542e-03, 6.18063842e-03, 6.66766715e-04, 6.70637870e-04, 2.10382561e-04, 1.28926298e-04, 3.15428351e-04, 3.63710771e-04]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_sp_new(): """ Tests new style component instantiation and run. """ input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = inputs.read_int('nrows') ncols = inputs.read_int('ncols') dx = inputs.read_float('dx') dt = inputs.read_float('dt') time_to_run = inputs.read_float('run_time') uplift = inputs.read_float('uplift_rate') init_elev = inputs.read_float('init_elev') mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx)) mg.set_closed_boundaries_at_grid_edges(False, False, True, True) mg.add_zeros('topographic__elevation', at='node') z = mg.zeros(at='node') + init_elev numpy.random.seed(0) mg['node']['topographic__elevation'] = z + \ numpy.random.rand(len(z)) / 1000. fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) elapsed_time = 0. while elapsed_time < time_to_run: if elapsed_time + dt > time_to_run: dt = time_to_run - elapsed_time fr.route_flow() sp.run_one_step(dt) mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt elapsed_time += dt z_trg = numpy.array([ 5.48813504e-04, 7.15189366e-04, 6.02763376e-04, 5.44883183e-04, 4.23654799e-04, 6.45894113e-04, 1.02783376e-02, 9.66667235e-03, 6.15060782e-03, 3.83441519e-04, 7.91725038e-04, 1.00905776e-02, 8.98955843e-03, 5.32836181e-03, 7.10360582e-05, 8.71292997e-05, 9.96377080e-03, 9.63738797e-03, 7.31213677e-03, 8.70012148e-04, 9.78618342e-04, 1.02124693e-02, 8.78386002e-03, 4.88161060e-03, 1.18274426e-04, 6.39921021e-04, 1.00377580e-02, 9.54340293e-03, 6.05173814e-03, 4.14661940e-04, 2.64555612e-04, 1.02160196e-02, 8.61600088e-03, 4.77005225e-03, 1.87898004e-05, 6.17635497e-04, 9.30445558e-03, 9.48713993e-03, 7.25689742e-03, 6.81820299e-04, 3.59507901e-04, 5.79161813e-03, 6.83777542e-03, 6.18063842e-03, 6.66766715e-04, 6.70637870e-04, 2.10382561e-04, 1.28926298e-04, 3.15428351e-04, 3.63710771e-04 ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_sp_new(): """ Tests new style component instantiation and run. """ input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = inputs.read_int('nrows') ncols = inputs.read_int('ncols') dx = inputs.read_float('dx') dt = inputs.read_float('dt') time_to_run = inputs.read_float('run_time') uplift = inputs.read_float('uplift_rate') init_elev = inputs.read_float('init_elev') mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx)) mg.set_closed_boundaries_at_grid_edges(False, False, True, True) mg.add_zeros('topographic__elevation', at='node') z = mg.zeros(at='node') + init_elev numpy.random.seed(0) mg['node']['topographic__elevation'] = z + \ numpy.random.rand(len(z)) / 1000. fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) elapsed_time = 0. while elapsed_time < time_to_run: if elapsed_time + dt > time_to_run: dt = time_to_run - elapsed_time fr.route_flow() sp.run_one_step(dt) mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt elapsed_time += dt z_trg = numpy.array([ 5.48813504e-04, 7.15189366e-04, 6.02763376e-04, 5.44883183e-04, 4.23654799e-04, 6.45894113e-04, 1.01830760e-02, 9.58036770e-03, 6.55865452e-03, 3.83441519e-04, 7.91725038e-04, 1.00142749e-02, 8.80798884e-03, 5.78387585e-03, 7.10360582e-05, 8.71292997e-05, 9.81911417e-03, 9.52243406e-03, 7.55093226e-03, 8.70012148e-04, 9.78618342e-04, 1.00629755e-02, 8.49253798e-03, 5.33216680e-03, 1.18274426e-04, 6.39921021e-04, 9.88956320e-03, 9.47119567e-03, 6.43790696e-03, 4.14661940e-04, 2.64555612e-04, 1.00450743e-02, 8.37262908e-03, 5.21540904e-03, 1.87898004e-05, 6.17635497e-04, 9.21286940e-03, 9.34022513e-03, 7.51114450e-03, 6.81820299e-04, 3.59507901e-04, 6.19166921e-03, 7.10456176e-03, 6.62585507e-03, 6.66766715e-04, 6.70637870e-04, 2.10382561e-04, 1.28926298e-04, 3.15428351e-04, 3.63710771e-04 ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_sp_widths(): input_str = os.path.join(_THIS_DIR, 'test_sp_params_widths.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = 5 ncols = 5 dx = inputs.read_float('dx') dt = inputs.read_float('dt') mg = RasterModelGrid(nrows, ncols, dx) widths = np.ones(mg.number_of_nodes, dtype=float) mg.add_zeros('topographic__elevation', at='node') z = np.array([5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4., 4., 5., 5., 5., 5., 5., 5.]) mg['node']['topographic__elevation'] = z fr = FlowRouter(mg) sp = StreamPowerEroder(mg, use_W=widths, **inputs) # perform the loop (once!) for i in range(1): fr.route_flow() sqrt_A = mg.at_node['drainage_area']**0.5 widths[mg.core_nodes] = sqrt_A[mg.core_nodes]/sqrt_A[ mg.core_nodes].mean() # so widths has mean=1. # note the issue with drainage_area not defined at perimeter => nans # if not careful... sp.run_one_step(dt) z_tg = np.array([ 5. , 5. , 0. , 5. , 5. , 5. , 1.37222369, 0.36876358, 1.37222369, 5. , 5. , 2.17408606, 1.07986038, 2.17408606, 5. , 5. , 3.08340277, 2.85288049, 3.08340277, 5. , 5. , 5. , 5. , 5. , 5. ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_widths(): input_str = os.path.join(_THIS_DIR, 'test_sp_params_widths.txt') inputs = ModelParameterDictionary(input_str, auto_type=True) nrows = 5 ncols = 5 dx = inputs.read_float('dx') dt = inputs.read_float('dt') mg = RasterModelGrid(nrows, ncols, dx) widths = np.ones(mg.number_of_nodes, dtype=float) mg.add_zeros('topographic__elevation', at='node') z = np.array([ 5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4., 4., 5., 5., 5., 5., 5., 5. ]) mg['node']['topographic__elevation'] = z fr = FlowRouter(mg) sp = StreamPowerEroder(mg, use_W=widths, **inputs) # perform the loop (once!) for i in range(1): fr.route_flow() sqrt_A = mg.at_node['drainage_area']**0.5 widths[mg.core_nodes] = sqrt_A[mg.core_nodes] / sqrt_A[ mg.core_nodes].mean() # so widths has mean=1. # note the issue with drainage_area not defined at perimeter => nans # if not careful... sp.run_one_step(dt) z_tg = np.array([ 5., 5., 0., 5., 5., 5., 1.37222369, 0.36876358, 1.37222369, 5., 5., 2.17408606, 1.07986038, 2.17408606, 5., 5., 3.08340277, 2.85288049, 3.08340277, 5., 5., 5., 5., 5., 5. ]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_discharges_new(): input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt') inputs = ModelParameterDictionary(input_str) nrows = 5 ncols = 5 dx = inputs.read_float('dx') dt = inputs.read_float('dt') mg = RasterModelGrid(nrows, ncols, dx) mg.add_zeros('topographic__elevation', at='node') z = np.array([5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4., 4., 5., 5., 5., 5., 5., 5.]) mg['node']['topographic__elevation'] = z fr = FlowRouter(mg) sp = StreamPowerEroder(mg, **inputs) # perform the loop (once!) for i in range(1): fr.route_flow() sp.run_one_step(dt) z_tg = np.array([5.00000000e+00, 5.00000000e+00, 0.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 1.29289322e+00, 1.00000000e-06, 1.29289322e+00, 5.00000000e+00, 5.00000000e+00, 2.29289322e+00, 1.00000000e+00, 2.29289322e+00, 5.00000000e+00, 5.00000000e+00, 3.29289322e+00, 3.00000000e+00, 3.29289322e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00]) assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)