From 2031e2d1e1115ef1d601b516af25e10d152be170 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 15:33:38 +0000 Subject: [PATCH 01/11] Initial plan From bc8d640aad32cea7e4f99da963dcd44d4f4d2fb0 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 15:40:43 +0000 Subject: [PATCH 02/11] Fix ustars0 and ustarn0 initialization bug in wind.py Fixed bug where ustars0 and ustarn0 were incorrectly set to ustar magnitude instead of their respective directional components ustars and ustarn. Co-authored-by: Sierd <14054272+Sierd@users.noreply.github.com> --- aeolis/tests/test_wind.py | 165 ++++++++++++++++++++++++++++++++++++++ aeolis/wind.py | 4 +- 2 files changed, 167 insertions(+), 2 deletions(-) create mode 100644 aeolis/tests/test_wind.py diff --git a/aeolis/tests/test_wind.py b/aeolis/tests/test_wind.py new file mode 100644 index 00000000..cc5a3757 --- /dev/null +++ b/aeolis/tests/test_wind.py @@ -0,0 +1,165 @@ +""" +This file is part of AeoLiS test suite. It uses the Pytest framework. + +Tests for wind module functionality, specifically for wind shear velocity components. +""" + +import numpy as np +import pytest + + +class TestWindShearVelocityComponents: + """Test wind shear velocity component calculations""" + + def test_ustars0_ustarn0_components_pure_s_direction(self): + """Test that ustars0 and ustarn0 correctly represent directional components. + + For wind from 270 degrees (nautical, wind from west) with alfa=0: + - Wind should be in pure s-direction (eastward) + - ustars should be positive + - ustarn should be 0 + - ustars0 should equal ustars (not the magnitude ustar) + - ustarn0 should equal ustarn (which is 0, not the magnitude ustar) + """ + from aeolis.wind import interpolate, initialize + from aeolis.model import ModelState + + # Create minimal model state + s = ModelState() + + # Grid setup - simple 2x2 grid + nx, ny = 3, 3 + s['x'] = np.zeros((ny, nx)) + s['y'] = np.zeros((ny, nx)) + s['zb'] = np.zeros((ny, nx)) + s['uw'] = np.zeros((ny, nx)) + s['udir'] = np.zeros((ny, nx)) + s['uws'] = np.zeros((ny, nx)) + s['uwn'] = np.zeros((ny, nx)) + s['ustars'] = np.zeros((ny, nx)) + s['ustarn'] = np.zeros((ny, nx)) + s['ustar'] = np.zeros((ny, nx)) + s['ustars0'] = np.zeros((ny, nx)) + s['ustarn0'] = np.zeros((ny, nx)) + s['ustar0'] = np.zeros((ny, nx)) + s['tau'] = np.zeros((ny, nx)) + s['taus'] = np.zeros((ny, nx)) + s['taun'] = np.zeros((ny, nx)) + s['tau0'] = np.zeros((ny, nx)) + s['taus0'] = np.zeros((ny, nx)) + s['taun0'] = np.zeros((ny, nx)) + s['hveg'] = np.zeros((ny, nx)) + + # Parameters + p = {} + p['alfa'] = 0.0 # Grid orientation (0 = aligned with north) + p['kappa'] = 0.4 # von Karman constant + p['z'] = 10.0 # Reference height (m) + p['k'] = 0.001 # Roughness length (m) + p['method_roughness'] = 'constant' + p['rhoa'] = 1.25 # Air density (kg/m³) + p['process_wind'] = False # We'll set wind manually + p['wind_file'] = None + + # Set constant wind from 270 degrees (from west, blowing east) + # In nautical convention: 270° means wind FROM the west + s['uw'][:, :] = 15.0 # 15 m/s + s['udir'][:, :] = 270.0 # degrees nautical + + # Run wind interpolation (which calculates ustars, ustarn, etc.) + s = interpolate(s, p, t=0.0) + + # For wind from 270° with alfa=0: + # uws = -uw * sin((-alfa + udir) * pi/180) = -15 * sin(270°) = -15 * (-1) = 15 + # uwn = -uw * cos((-alfa + udir) * pi/180) = -15 * cos(270°) = -15 * 0 = 0 + + # Therefore: + # ustars should be positive (proportional to uws) + # ustarn should be 0 (proportional to uwn) + + # Check that ustars is positive and ustarn is approximately 0 + assert np.all(s['ustars'] > 0), "ustars should be positive for wind from 270°" + assert np.allclose(s['ustarn'], 0, atol=1e-10), "ustarn should be 0 for wind from 270°" + + # The key test: ustars0 should equal ustars, not ustar + # and ustarn0 should equal ustarn (0), not ustar + assert np.allclose(s['ustars0'], s['ustars'], rtol=1e-10), \ + "ustars0 should equal ustars, not ustar magnitude" + assert np.allclose(s['ustarn0'], s['ustarn'], rtol=1e-10), \ + "ustarn0 should equal ustarn (0), not ustar magnitude" + + # Verify that ustar (magnitude) is not zero + assert np.all(s['ustar'] > 0), "ustar magnitude should be positive" + + # Verify that ustarn0 is NOT equal to ustar (the bug we're fixing) + assert not np.allclose(s['ustarn0'], s['ustar'], rtol=1e-10), \ + "ustarn0 should NOT equal ustar magnitude (this was the bug)" + + def test_ustars0_ustarn0_components_pure_n_direction(self): + """Test ustars0 and ustarn0 for wind purely in n-direction. + + For wind from 0/360 degrees (nautical, wind from north) with alfa=0: + - Wind should be in pure n-direction (southward) + - ustars should be 0 + - ustarn should be positive + """ + from aeolis.wind import interpolate + from aeolis.model import ModelState + + # Create minimal model state + s = ModelState() + + # Grid setup + nx, ny = 3, 3 + s['x'] = np.zeros((ny, nx)) + s['y'] = np.zeros((ny, nx)) + s['zb'] = np.zeros((ny, nx)) + s['uw'] = np.zeros((ny, nx)) + s['udir'] = np.zeros((ny, nx)) + s['uws'] = np.zeros((ny, nx)) + s['uwn'] = np.zeros((ny, nx)) + s['ustars'] = np.zeros((ny, nx)) + s['ustarn'] = np.zeros((ny, nx)) + s['ustar'] = np.zeros((ny, nx)) + s['ustars0'] = np.zeros((ny, nx)) + s['ustarn0'] = np.zeros((ny, nx)) + s['ustar0'] = np.zeros((ny, nx)) + s['tau'] = np.zeros((ny, nx)) + s['taus'] = np.zeros((ny, nx)) + s['taun'] = np.zeros((ny, nx)) + s['tau0'] = np.zeros((ny, nx)) + s['taus0'] = np.zeros((ny, nx)) + s['taun0'] = np.zeros((ny, nx)) + s['hveg'] = np.zeros((ny, nx)) + + # Parameters + p = {} + p['alfa'] = 0.0 + p['kappa'] = 0.4 + p['z'] = 10.0 + p['k'] = 0.001 + p['method_roughness'] = 'constant' + p['rhoa'] = 1.25 + p['process_wind'] = False + p['wind_file'] = None + + # Set wind from 0/360 degrees (from north, blowing south) + s['uw'][:, :] = 15.0 + s['udir'][:, :] = 0.0 # or 360.0 + + # Run wind interpolation + s = interpolate(s, p, t=0.0) + + # For wind from 0° with alfa=0: + # uws = -uw * sin(0) = 0 + # uwn = -uw * cos(0) = -15 + + # Check components + assert np.allclose(s['ustars'], 0, atol=1e-10), "ustars should be 0 for wind from 0°" + assert np.all(s['ustarn'] < 0), "ustarn should be negative for wind from 0°" + + # Check that the 0 components are preserved + assert np.allclose(s['ustars0'], s['ustars'], rtol=1e-10), \ + "ustars0 should equal ustars (0)" + assert np.allclose(s['ustarn0'], s['ustarn'], rtol=1e-10), \ + "ustarn0 should equal ustarn" diff --git a/aeolis/wind.py b/aeolis/wind.py index 43ad78a2..db82c030 100644 --- a/aeolis/wind.py +++ b/aeolis/wind.py @@ -148,8 +148,8 @@ def interpolate(s, p, t): s = velocity_stress(s,p) s['ustar0'] = s['ustar'].copy() - s['ustars0'] = s['ustar'].copy() - s['ustarn0'] = s['ustar'].copy() + s['ustars0'] = s['ustars'].copy() + s['ustarn0'] = s['ustarn'].copy() s['tau0'] = s['tau'].copy() s['taus0'] = s['taus'].copy() From 6892d5aa1f2f76fb9428b9d6a9a5761a930d3a26 Mon Sep 17 00:00:00 2001 From: Sierd Date: Mon, 10 Nov 2025 19:04:33 +0100 Subject: [PATCH 03/11] input files for debugging --- wind_test/LIDAR_2D_X.txt | 200 ++++++++++++++++++++++++++++++++++ wind_test/LIDAR_2D_Y.txt | 200 ++++++++++++++++++++++++++++++++++ wind_test/LIDAR_2D_Z.txt | 200 ++++++++++++++++++++++++++++++++++ wind_test/Wind_U15_D270.txt | 2 + wind_test/aeolis_U15_D270.txt | 177 ++++++++++++++++++++++++++++++ 5 files changed, 779 insertions(+) create mode 100644 wind_test/LIDAR_2D_X.txt create mode 100644 wind_test/LIDAR_2D_Y.txt create mode 100644 wind_test/LIDAR_2D_Z.txt create mode 100644 wind_test/Wind_U15_D270.txt create mode 100644 wind_test/aeolis_U15_D270.txt diff --git a/wind_test/LIDAR_2D_X.txt b/wind_test/LIDAR_2D_X.txt new file mode 100644 index 00000000..08b1442c --- /dev/null +++ b/wind_test/LIDAR_2D_X.txt @@ -0,0 +1,200 @@ +0.000000000000000000e+00 1.000000000000000000e+00 2.000000000000000000e+00 3.000000000000000000e+00 4.000000000000000000e+00 5.000000000000000000e+00 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2020-04-22 12:26:11 %% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%% -------------------- [Timing] ----------------------------- %% +dt = 3600.000 % [s] Timeinterval between timesteps +tstart = 0 % [s] Starting time of the simulation +tstop = 1209600.000 % [s] End time of the simulation +restart = None % [s] Interval for which to write restart files +refdate = 2020-01-01 00:00 % [-] Reference datetime in netCDF output + +%% -------------------- [Grid files *.grd] ------------------- %% +xgrid_file = LIDAR_2D_X.txt % Filename of ASCII file with x-coordinates of grid cells +ygrid_file = LIDAR_2D_Y.txt % Filename of ASCII file with y-coordinates of grid cells +bed_file = LIDAR_2D_Z.txt % Filename of ASCII file with bed level heights of grid cells +ne_file = None % Filename of ASCII file with non-erodible layer +veg_file = None % Filename of ASCII file with initial vegetation density +threshold_file = None % Filename of ASCII file with shear velocity threshold +fence_file = None % Filename of ASCII file with sand fence location/height (above the bed) +wave_mask = None % Filename of ASCII file with mask for wave height +tide_mask = None % Filename of ASCII file with mask for tidal elevation +threshold_mask = None % Filename of ASCII file with mask for the shear velocity threshold + +%% -------------------- [Time series *.txt] ------------------ %% +tide_file = None % Filename of ASCII file with time series of water levels +wave_file = None % Filename of ASCII file with time series of wave heights (and periods) +wind_file = Wind_U15_D270.txt % Filename of ASCII file with time series of wind velocity and direction +bedcomp_file = None % Filename of ASCII file with initial bed composition +meteo_file = None % Filename of ASCII file with time series of meteorlogical conditions + +%% -------------------- [Output] ----------------------------- %% +output_times = 86400.000 % [s] Timeinterval [s] between *.nc output file +output_file = None % [-] Name of the *.nc output file +output_vars = zb dzb zs ustar ustarn ustars uth zsep Cu Ct u us un u0 rhoveg hveg % [-] List of output variables for in *.nc output file + +%% -------------------- [Flags Processes] -------------------- %% +process_wind = T % [T/F] Enable the process of wind +process_shear = T % [T/F] Enable the process of wind shear +process_tide = F % [T/F] Enable the process of tides +process_wave = F % [T/F] Enable the process of waves +process_runup = F % [T/F] Enable the process of wave runup +process_moist = F % [T/F] Enable the process of moist +process_mixtoplayer = F % [T/F] Enable the process of mixing +process_threshold = T % [T/F] Enable the process of threshold +process_transport = T % [T/F] Enable the process of transport +process_bedupdate = T % [T/F] Enable the process of bed updating +process_meteo = F % [T/F] Enable the process of meteo +process_salt = F % [T/F] Enable the process of salt +process_humidity = F % [T/F] Enable the process of humidity +process_avalanche = T % [T/F] Enable the process of avalanching +process_inertia = F % [T/F] NEW (???) +process_separation = T % [T/F] Enable the including of separation bubble +process_vegetation = F % [T/F] Enable the process of vegetation +process_fences = F % [T/F] Enable the process of sand fencing +process_dune_erosion = F % [T/F] Enable the process of wave-driven dune erosion + +%% -------------------- [Flags Threshold] -------------------- %% +th_grainsize = T % [T/F] Enable wind velocity threshold based on grainsize +th_bedslope = F % [T/F] Enable wind velocity threshold based on bedslope +th_moisture = F % [T/F] Enable wind velocity threshold based on moisture +th_drylayer = F % [T/F] Enable wind velocity threshold based on drying of layer +th_humidity = F % [T/F] Enable wind velocity threshold based on humidity +th_salt = F % [T/F] Enable wind velocity threshold based on salt +th_roughness = F % [T/F] Enable wind velocity threshold based on roughness +th_nelayer = T % [T/F] Enable wind velocity threshold based on a non-erodible layer + +%% -------------------- [General physics] -------------------- %% +g = 9.81 % [m/s^2] Gravitational constant +v = 0.000015 % [m^2/s] Air viscosity +rhoa = 1.225 % [kg/m^3] Air density +rhog = 2650.0 % [kg/m^3] Grain density +rhow = 1025.0 % [kg/m^3] Water density +porosity = 0.4 % [-] Sediment porosity +cpair = 0.0010035 % [MJ/kg/oC] Specific heat capacity air + +%% -------------------- [Sediment] --------------------------- %% +nlayers = 1 % [-] Number of bed layers +layer_thickness = 0.05000 % [m] Thickness of bed layers +nfractions = 1 % [-] Number of sediment fractions +grain_dist = 1.0 % [-] Initial distribution of sediment fractions +grain_size = 0.00025 % [m] Average grain size of each sediment fraction + +%% -------------------- [Wind and shear] --------------------- %% +wind_convention = nautical % [-] Convention used for the wind direction in the input files (cartesian or nautical) +alfa = 0 % [deg] Real-world grid cell orientation wrt the North (clockwise) +k = 0.001 % [m] Bed roughness +z = 10. % [m] Measurement height of wind velocity +kappa = 0.41 % [-] Von Kármán constant +h = None % [m] Representative height of saltation layer +L = 100. % [m] Typical length scale of dune feature (perturbation) +l = 1. % [m] Inner layer height (perturbation) +m = 1. % [-] Factor to account for difference between average and maximum shear stress + +%% -------------------- [Transport] -------------------------- %% +bi = 0.50000 % [-] Bed interaction factor +method_transport = bagnold % [-] Name of method to compute equilibrium sediment transport rate +method_grainspeed = duran_full % [-] Name of method to assume/compute grainspeed +Aa = 0.085 % [-] Constant in formulation for wind velocity threshold based on grain size +Cb = 1.5 % [-] Constant in bagnold formulation for equilibrium sediment concentration +Ck = 2.78 % [-] Constant in kawamura formulation for equilibrium sediment concentration +Cl = 6.7 % [-] Constant in lettau formulation for equilibrium sediment concentration +Cdk = 5. % [-] Constant in DK formulation for equilibrium sediment concentration + +%% -------------------- [Solver] ----------------------------- %% +T = 1. % [s] Adaptation time scale in advection equation ( +solver = steadystate % [-] Numerical solver of advection scheme (pieter is more computationnally costy) +CFL = 1. % [-] CFL number to determine time step in explicit scheme +accfac = 1. % [-] Numerical acceleration factor +scheme = euler_backward % [-] Name of numerical scheme (euler_forward, euler_backward or crank_nicolson) +max_error = 0.000001 % [-] Maximum error at which to quit iterative solution in implicit numerical schemes +max_iter = 1000 % [-] Maximum number of iterations at which to quit iterative solution in implicit numerical schemes +max_bedlevel_change = 0.02 % [m] Maximum bedlevel change after one timestep. Next timestep dt will be modified (use 999. if not used) + +%% -------------------- [Boundary conditions] ---------------- %% +boundary_onshore = constant % [-] Name of onshore boundary conditions (flux, constant, uniform, gradient) +boundary_lateral = circular % [-] Name of lateral boundary conditions (circular, constant ==noflux) +boundary_offshore = flux % [-] Name of offshore boundary conditions (flux, constant, uniform, gradient) +offshore_flux = 0.13 % [-] Factor to determine offshore boundary flux as a function of Q0 (= 1 for saturated flux , = 0 for noflux) +constant_offshore_flux = 0. % [kg/m/s] Constant input flux at offshore boundary +onshore_flux = 0. % [-] Factor to determine onshore boundary flux as a function of Q0 (= 1 for saturated flux , = 0 for noflux) +constant_onshore_flux = 0. % [kg/m/s] Constant input flux at offshore boundary +lateral_flux = 0. % [-] Factor to determine lateral boundary flux as a function of Q0 (= 1 for saturated flux , = 0 for noflux) +sedimentinput = 0. % [-] Constant boundary sediment influx (only used in solve_pieter) + +%% -------------------- [Rotating shear-grid] ---------------- %% +dx = 1.0 % [m] Size of dimension of the computational grid that is generated for a rotating shear computation in x-direction +dy = 1.0 % [m] Size of dimension of the computational grid that is generated for a rotating shear computation in x-direction +buffer_width = 20.0 % [m] Width of the bufferzone around the rotational grid for wind perturbation + +%% -------------------- [Vegetation] ------------------------- %% +sigma = 4.2 % [-] Ratio between basal area and frontal area of roughness elements +beta = 130.000000 % [-] Ratio between drag coefficient of roughness elements and bare surface +gamma_vegshear = 16. % [-] Roughness factor for the shear stress reduction by vegetation +avg_time = 3600. % [s] Indication of the time period over which the bed level change is averaged for vegetation growth +dzb_interval = 3600. % [s] Interval used for calcuation of vegetation growth +hveg_max = 1. % [m] Max height of vegetation +dzb_opt = 0. % [m/year] Sediment burial for optimal growth +V_ver = 0. % [m/year] Vertical growth +V_lat = 0. % [m/year] Lateral growth +germinate = 0. % [1/year] Possibility of germination per year +lateral = 0. % [1/year] Posibility of lateral expension per year +veg_gamma = 1. % [-] Constant on influence of sediment burial +veg_sigma = 0.8 % [-] Sigma in gaussian distrubtion of vegetation cover filter +vegshear_type = raupach % [-] Choose the Raupach grid based solver (1D or 2D) or the Okin approach (1D only) +okin_c1_veg = 0.48 % [-] x/h spatial reduction factor in Okin model for use with vegetation +okin_initialred_veg = 0.32 % [-] initial shear reduction factor in Okin model for use with vegetation + +%% -------------------- [Fences] ----------------------------- %% +okin_c1_fence = 0.48 % [-] x/h spatial reduction factor in Okin model for use with sand fence module +okin_initialred_fence = 0.32 % [-] initial shear reduction factor in Okin model for use with sand fence module + +%% -------------------- [Seperation] ------------------------- %% +c_b = 0.2 % [-] Slope at the leeside of the separation bubble # c = 0.2 according to Durán 2010 (Sauermann 2001: c = 0.25 for 14 degrees) +mu_b = 20. % [deg] Minimum required slope for the start of flow separation +sep_filter_iterations = 0 % [-] Number of filter iterations on the separation bubble (0 = no filtering) +zsep_y_filter = F % [T/F] Boolean for turning on/off the filtering of the separation bubble height in y-direction + +%% -------------------- [Soil moisture] ---------------------- %% +Tdry = 7200.000 % [s] Adaptation time scale for soil drying +eps = 0.001 % [m] Minimum water depth to consider a cell "flooded" +method_moist = belly_johnson % [-] Name of method to compute wind velocity threshold based on soil moisture content + +%% -------------------- [Salt] ------------------------------- %% +Tsalt = 2592000.000 % [s] Adaptation time scale for salinitation +csalt = 0.0035 % [-] Maximum salt concentration in bed surface layer + +%% -------------------- [Waves] ------------------------------ %% +Tbedreset = 86400. % [s] Adaptation time for resetting morphology in the Swash-zone +xi = .3 % [-] Surf similarity parameter +facDOD = .1 % [-] Ratio between depth of disturbance and local wave height + +%% -------------------- [Avalanching] ------------------------ %% +theta_dyn = 33. % [degrees] Initial Dynamic angle of repose, critical dynamic slope for avalanching +theta_stat = 34. % [degrees] Initial Static angle of repose, critical static slope for avalanching +max_iter_ava = 1000 % [-] Maximum number of iterations at which to quit iterative solution in avalanching calculation +visualization = F \ No newline at end of file From 1992889eb39269167ee64aa4c14d88d4e2429690 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 18:11:01 +0000 Subject: [PATCH 04/11] Fix missing division in dtauy FFT shear calculation The dtauy_t formula in the FFT shear method was missing the division by sc_kv(0., 2.*sqrt(2.)*sigma), causing incorrect y-direction shear stress perturbations. This resulted in non-zero ustarn values even when the bed had no y-direction variability. The formula now matches the structure of dtaux_t calculation. Co-authored-by: Sierd <14054272+Sierd@users.noreply.github.com> --- aeolis/shear.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index fb3f7485..6c837c7b 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -589,7 +589,7 @@ def compute_shear(self, u0, nfilter=(1., 2.)): dtauy_t = hs * kx * ky / k * 2 / ul**2 * \ - 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) + 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) / sc_kv(0., 2. * np.sqrt(2.) * sigma) gc['dtaux'] = np.real(np.fft.ifft2(dtaux_t)) From 31bd01c8660d14e34b6bfed4c2c274ccd5625806 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 19:07:31 +0000 Subject: [PATCH 05/11] Fix frequency array alignment in FFT shear calculation The kx and ky frequency arrays were misaligned with the FFT output. The code was creating frequency arrays with fftfreq(n+1)[1:] which skips the DC component, but the FFT includes all frequencies. This caused incorrect mapping between frequencies and FFT coefficients, leading to wrong shear perturbations. Fixed by using fftfreq(n) which properly matches the FFT output dimensions and includes the DC component at the correct index. Co-authored-by: Sierd <14054272+Sierd@users.noreply.github.com> --- aeolis/shear.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index 6c837c7b..4203f796 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -544,8 +544,8 @@ def compute_shear(self, u0, nfilter=(1., 2.)): return ny, nx = gc['z'].shape - kx, ky = np.meshgrid(2. * np.pi * np.fft.fftfreq(nx+1, gc['dx'])[1:], - 2. * np.pi * np.fft.fftfreq(ny+1, gc['dy'])[1:]) + kx, ky = np.meshgrid(2. * np.pi * np.fft.fftfreq(nx, gc['dx']), + 2. * np.pi * np.fft.fftfreq(ny, gc['dy'])) hs = np.fft.fft2(gc['z']) hs = self.filter_highfrequenies(kx, ky, hs, nfilter) From faa36e79a35e4ad4a55451e04ef5d624a84c073f Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 19:25:05 +0000 Subject: [PATCH 06/11] Handle division by zero at DC component in FFT shear The previous fix included the DC component (kx=0, ky=0) in the frequency arrays, which caused division by zero errors in the shear calculations. Fixed by: - Using safe division with np.where to replace zeros with 1.0 temporarily - Explicitly setting DC component of perturbations to 0 after calculation - Applying same fix to filter_highfrequencies function The DC component represents the mean value and doesn't contribute to perturbations, so setting it to zero is physically correct. Co-authored-by: Sierd <14054272+Sierd@users.noreply.github.com> --- aeolis/shear.py | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index 4203f796..f5b3a671 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -582,15 +582,22 @@ def compute_shear(self, u0, nfilter=(1., 2.)): time_start_perturbation = time.time() # Shear stress perturbation + # Avoid division by zero at DC component (kx=0, ky=0) + # Set a small value to avoid division by zero, then set DC to 0 after calculation + k_safe = np.where(k == 0, 1.0, k) + kx_safe = np.where(kx == 0, 1.0, kx) - dtaux_t = hs * kx**2 / k * 2 / ul**2 * \ - (-1. + (2. * np.log(l/z0new) + k**2/kx**2) * sigma * \ + dtaux_t = hs * kx**2 / k_safe * 2 / ul**2 * \ + (-1. + (2. * np.log(l/z0new) + k**2/kx_safe**2) * sigma * \ sc_kv(1., 2. * sigma) / sc_kv(0., 2. * sigma)) - dtauy_t = hs * kx * ky / k * 2 / ul**2 * \ + dtauy_t = hs * kx * ky / k_safe * 2 / ul**2 * \ 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) / sc_kv(0., 2. * np.sqrt(2.) * sigma) + # Set DC component to zero (no perturbation at zero frequency) + dtaux_t[k == 0] = 0. + dtauy_t[k == 0] = 0. gc['dtaux'] = np.real(np.fft.ifft2(dtaux_t)) gc['dtauy'] = np.real(np.fft.ifft2(dtauy_t)) @@ -668,8 +675,11 @@ def filter_highfrequenies(self, kx, ky, hs, nfilter=(1, 2)): if nfilter is not None: n1 = np.min(nfilter) n2 = np.max(nfilter) - px = 2 * np.pi / self.cgrid['dx'] / np.abs(kx) - py = 2 * np.pi / self.cgrid['dy'] / np.abs(ky) + # Avoid division by zero at DC component (kx=0, ky=0) + kx_safe = np.where(kx == 0, 1.0, kx) + ky_safe = np.where(ky == 0, 1.0, ky) + px = 2 * np.pi / self.cgrid['dx'] / np.abs(kx_safe) + py = 2 * np.pi / self.cgrid['dy'] / np.abs(ky_safe) s1 = n1 / np.log(1. / .01 - 1.) s2 = -n2 / np.log(1. / .99 - 1.) f1 = 1. / (1. + np.exp(-(px + n1 - n2) / s1)) From b38b349d54a6b21a29856542345b55f7b29b589c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 19:38:05 +0000 Subject: [PATCH 07/11] Use masked computation to avoid invalid values in FFT shear MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The previous fix still allowed invalid values when kx=0 (but ky≠0) because sigma depends on kx. When kx=0, sigma=0 which causes issues in Bessel function ratios. New approach: - Create a mask for valid computations: (k > 0) & (abs(kx) > 0) - Initialize perturbation arrays with zeros - Only compute perturbations for valid frequency combinations - All invalid combinations (kx=0 or k=0) automatically get zero perturbation This is physically correct: perturbations at kx=0 (pure y-direction frequencies) should be zero for the x-direction flow formulation. Co-authored-by: Sierd <14054272+Sierd@users.noreply.github.com> --- aeolis/shear.py | 44 ++++++++++++++++++++++++++++---------------- 1 file changed, 28 insertions(+), 16 deletions(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index f5b3a671..daa09eab 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -582,22 +582,34 @@ def compute_shear(self, u0, nfilter=(1., 2.)): time_start_perturbation = time.time() # Shear stress perturbation - # Avoid division by zero at DC component (kx=0, ky=0) - # Set a small value to avoid division by zero, then set DC to 0 after calculation - k_safe = np.where(k == 0, 1.0, k) - kx_safe = np.where(kx == 0, 1.0, kx) - - dtaux_t = hs * kx**2 / k_safe * 2 / ul**2 * \ - (-1. + (2. * np.log(l/z0new) + k**2/kx_safe**2) * sigma * \ - sc_kv(1., 2. * sigma) / sc_kv(0., 2. * sigma)) - - - dtauy_t = hs * kx * ky / k_safe * 2 / ul**2 * \ - 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) / sc_kv(0., 2. * np.sqrt(2.) * sigma) - - # Set DC component to zero (no perturbation at zero frequency) - dtaux_t[k == 0] = 0. - dtauy_t[k == 0] = 0. + # Avoid division by zero and invalid values + # When kx=0 or ky=0 or k=0, set perturbations to zero + + # Create masks for valid computations + valid_mask = (k > 0) & (np.abs(kx) > 0) + + # Initialize perturbation arrays with zeros + dtaux_t = np.zeros_like(hs, dtype=complex) + dtauy_t = np.zeros_like(hs, dtype=complex) + + # Only compute where we have valid frequencies + if np.any(valid_mask): + # Safe division for valid regions only + k_valid = k[valid_mask] + kx_valid = kx[valid_mask] + ky_valid = ky[valid_mask] + hs_valid = hs[valid_mask] + sigma_valid = sigma[valid_mask] + ul2_valid = ul**2 + + # Compute dtaux for valid regions + dtaux_t[valid_mask] = hs_valid * kx_valid**2 / k_valid * 2 / ul2_valid * \ + (-1. + (2. * np.log(l/z0new) + k_valid**2/kx_valid**2) * sigma_valid * \ + sc_kv(1., 2. * sigma_valid) / sc_kv(0., 2. * sigma_valid)) + + # Compute dtauy for valid regions + dtauy_t[valid_mask] = hs_valid * kx_valid * ky_valid / k_valid * 2 / ul2_valid * \ + 2. * np.sqrt(2.) * sigma_valid * sc_kv(1., 2. * np.sqrt(2.) * sigma_valid) / sc_kv(0., 2. * np.sqrt(2.) * sigma_valid) gc['dtaux'] = np.real(np.fft.ifft2(dtaux_t)) gc['dtauy'] = np.real(np.fft.ifft2(dtauy_t)) From 891257351779bcdba01a2bced0ba77e7dfa44a15 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 10 Nov 2025 19:59:39 +0000 Subject: [PATCH 08/11] Simplify FFT shear edge case handling Simplified the masked computation approach to a cleaner implementation: - Use np.where for safe division (replace zeros with 1.0 temporarily) - Compute formulas normally with safe arrays - Apply invalid_mask at the end to zero out problematic regions This achieves the same result with much simpler, more readable code. Co-authored-by: Sierd <14054272+Sierd@users.noreply.github.com> --- aeolis/shear.py | 43 +++++++++++++++---------------------------- 1 file changed, 15 insertions(+), 28 deletions(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index daa09eab..c695ee56 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -582,34 +582,21 @@ def compute_shear(self, u0, nfilter=(1., 2.)): time_start_perturbation = time.time() # Shear stress perturbation - # Avoid division by zero and invalid values - # When kx=0 or ky=0 or k=0, set perturbations to zero - - # Create masks for valid computations - valid_mask = (k > 0) & (np.abs(kx) > 0) - - # Initialize perturbation arrays with zeros - dtaux_t = np.zeros_like(hs, dtype=complex) - dtauy_t = np.zeros_like(hs, dtype=complex) - - # Only compute where we have valid frequencies - if np.any(valid_mask): - # Safe division for valid regions only - k_valid = k[valid_mask] - kx_valid = kx[valid_mask] - ky_valid = ky[valid_mask] - hs_valid = hs[valid_mask] - sigma_valid = sigma[valid_mask] - ul2_valid = ul**2 - - # Compute dtaux for valid regions - dtaux_t[valid_mask] = hs_valid * kx_valid**2 / k_valid * 2 / ul2_valid * \ - (-1. + (2. * np.log(l/z0new) + k_valid**2/kx_valid**2) * sigma_valid * \ - sc_kv(1., 2. * sigma_valid) / sc_kv(0., 2. * sigma_valid)) - - # Compute dtauy for valid regions - dtauy_t[valid_mask] = hs_valid * kx_valid * ky_valid / k_valid * 2 / ul2_valid * \ - 2. * np.sqrt(2.) * sigma_valid * sc_kv(1., 2. * np.sqrt(2.) * sigma_valid) / sc_kv(0., 2. * np.sqrt(2.) * sigma_valid) + # Use safe division to avoid zero/invalid values at kx=0 or k=0 + k_safe = np.where(k == 0, 1.0, k) + kx_safe = np.where(kx == 0, 1.0, kx) + + dtaux_t = hs * kx**2 / k_safe * 2 / ul**2 * \ + (-1. + (2. * np.log(l/z0new) + k**2/kx_safe**2) * sigma * \ + sc_kv(1., 2. * sigma) / sc_kv(0., 2. * sigma)) + + dtauy_t = hs * kx * ky / k_safe * 2 / ul**2 * \ + 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) / sc_kv(0., 2. * np.sqrt(2.) * sigma) + + # Zero out invalid regions (kx=0 or k=0) where formulation is not valid + invalid_mask = (k == 0) | (kx == 0) + dtaux_t[invalid_mask] = 0. + dtauy_t[invalid_mask] = 0. gc['dtaux'] = np.real(np.fft.ifft2(dtaux_t)) gc['dtauy'] = np.real(np.fft.ifft2(dtauy_t)) From 80c73595fa72462872b2376aa3eb32fb2a4b4417 Mon Sep 17 00:00:00 2001 From: Sierd de Vries Date: Thu, 13 Nov 2025 17:20:31 +0100 Subject: [PATCH 09/11] Update shear.py reverted the suggested division in dtauy_t calculation --- aeolis/shear.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index c695ee56..136ab0d7 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -591,7 +591,7 @@ def compute_shear(self, u0, nfilter=(1., 2.)): sc_kv(1., 2. * sigma) / sc_kv(0., 2. * sigma)) dtauy_t = hs * kx * ky / k_safe * 2 / ul**2 * \ - 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) / sc_kv(0., 2. * np.sqrt(2.) * sigma) + 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) # Zero out invalid regions (kx=0 or k=0) where formulation is not valid invalid_mask = (k == 0) | (kx == 0) @@ -891,4 +891,4 @@ def interpolate(self, x, y, z, xi, yi, z0): - \ No newline at end of file + From 8b2e09c9f8035436cf7a07a31656f8255a95d05b Mon Sep 17 00:00:00 2001 From: Sierd Date: Thu, 13 Nov 2025 17:26:36 +0100 Subject: [PATCH 10/11] deleted wind tests --- aeolis/tests/test_wind.py | 165 ---------------------------- wind_test/LIDAR_2D_X.txt | 200 ---------------------------------- wind_test/LIDAR_2D_Y.txt | 200 ---------------------------------- wind_test/LIDAR_2D_Z.txt | 200 ---------------------------------- wind_test/Wind_U15_D270.txt | 2 - wind_test/aeolis_U15_D270.txt | 177 ------------------------------ 6 files changed, 944 deletions(-) delete mode 100644 aeolis/tests/test_wind.py delete mode 100644 wind_test/LIDAR_2D_X.txt delete mode 100644 wind_test/LIDAR_2D_Y.txt delete mode 100644 wind_test/LIDAR_2D_Z.txt delete mode 100644 wind_test/Wind_U15_D270.txt delete mode 100644 wind_test/aeolis_U15_D270.txt diff --git a/aeolis/tests/test_wind.py b/aeolis/tests/test_wind.py deleted file mode 100644 index cc5a3757..00000000 --- a/aeolis/tests/test_wind.py +++ /dev/null @@ -1,165 +0,0 @@ -""" -This file is part of AeoLiS test suite. It uses the Pytest framework. - -Tests for wind module functionality, specifically for wind shear velocity components. -""" - -import numpy as np -import pytest - - -class TestWindShearVelocityComponents: - """Test wind shear velocity component calculations""" - - def test_ustars0_ustarn0_components_pure_s_direction(self): - """Test that ustars0 and ustarn0 correctly represent directional components. - - For wind from 270 degrees (nautical, wind from west) with alfa=0: - - Wind should be in pure s-direction (eastward) - - ustars should be positive - - ustarn should be 0 - - ustars0 should equal ustars (not the magnitude ustar) - - ustarn0 should equal ustarn (which is 0, not the magnitude ustar) - """ - from aeolis.wind import interpolate, initialize - from aeolis.model import ModelState - - # Create minimal model state - s = ModelState() - - # Grid setup - simple 2x2 grid - nx, ny = 3, 3 - s['x'] = np.zeros((ny, nx)) - s['y'] = np.zeros((ny, nx)) - s['zb'] = np.zeros((ny, nx)) - s['uw'] = np.zeros((ny, nx)) - s['udir'] = np.zeros((ny, nx)) - s['uws'] = np.zeros((ny, nx)) - s['uwn'] = np.zeros((ny, nx)) - s['ustars'] = np.zeros((ny, nx)) - s['ustarn'] = np.zeros((ny, nx)) - s['ustar'] = np.zeros((ny, nx)) - s['ustars0'] = np.zeros((ny, nx)) - s['ustarn0'] = np.zeros((ny, nx)) - s['ustar0'] = np.zeros((ny, nx)) - s['tau'] = np.zeros((ny, nx)) - s['taus'] = np.zeros((ny, nx)) - s['taun'] = np.zeros((ny, nx)) - s['tau0'] = np.zeros((ny, nx)) - s['taus0'] = np.zeros((ny, nx)) - s['taun0'] = np.zeros((ny, nx)) - s['hveg'] = np.zeros((ny, nx)) - - # Parameters - p = {} - p['alfa'] = 0.0 # Grid orientation (0 = aligned with north) - p['kappa'] = 0.4 # von Karman constant - p['z'] = 10.0 # Reference height (m) - p['k'] = 0.001 # Roughness length (m) - p['method_roughness'] = 'constant' - p['rhoa'] = 1.25 # Air density (kg/m³) - p['process_wind'] = False # We'll set wind manually - p['wind_file'] = None - - # Set constant wind from 270 degrees (from west, blowing east) - # In nautical convention: 270° means wind FROM the west - s['uw'][:, :] = 15.0 # 15 m/s - s['udir'][:, :] = 270.0 # degrees nautical - - # Run wind interpolation (which calculates ustars, ustarn, etc.) - s = interpolate(s, p, t=0.0) - - # For wind from 270° with alfa=0: - # uws = -uw * sin((-alfa + udir) * pi/180) = -15 * sin(270°) = -15 * (-1) = 15 - # uwn = -uw * cos((-alfa + udir) * pi/180) = -15 * cos(270°) = -15 * 0 = 0 - - # Therefore: - # ustars should be positive (proportional to uws) - # ustarn should be 0 (proportional to uwn) - - # Check that ustars is positive and ustarn is approximately 0 - assert np.all(s['ustars'] > 0), "ustars should be positive for wind from 270°" - assert np.allclose(s['ustarn'], 0, atol=1e-10), "ustarn should be 0 for wind from 270°" - - # The key test: ustars0 should equal ustars, not ustar - # and ustarn0 should equal ustarn (0), not ustar - assert np.allclose(s['ustars0'], s['ustars'], rtol=1e-10), \ - "ustars0 should equal ustars, not ustar magnitude" - assert np.allclose(s['ustarn0'], s['ustarn'], rtol=1e-10), \ - "ustarn0 should equal ustarn (0), not ustar magnitude" - - # Verify that ustar (magnitude) is not zero - assert np.all(s['ustar'] > 0), "ustar magnitude should be positive" - - # Verify that ustarn0 is NOT equal to ustar (the bug we're fixing) - assert not np.allclose(s['ustarn0'], s['ustar'], rtol=1e-10), \ - "ustarn0 should NOT equal ustar magnitude (this was the bug)" - - def test_ustars0_ustarn0_components_pure_n_direction(self): - """Test ustars0 and ustarn0 for wind purely in n-direction. - - For wind from 0/360 degrees (nautical, wind from north) with alfa=0: - - Wind should be in pure n-direction (southward) - - ustars should be 0 - - ustarn should be positive - """ - from aeolis.wind import interpolate - from aeolis.model import ModelState - - # Create minimal model state - s = ModelState() - - # Grid setup - nx, ny = 3, 3 - s['x'] = np.zeros((ny, nx)) - s['y'] = np.zeros((ny, nx)) - s['zb'] = np.zeros((ny, nx)) - s['uw'] = np.zeros((ny, nx)) - s['udir'] = np.zeros((ny, nx)) - s['uws'] = np.zeros((ny, nx)) - s['uwn'] = np.zeros((ny, nx)) - s['ustars'] = np.zeros((ny, nx)) - s['ustarn'] = np.zeros((ny, nx)) - s['ustar'] = np.zeros((ny, nx)) - s['ustars0'] = np.zeros((ny, nx)) - s['ustarn0'] = np.zeros((ny, nx)) - s['ustar0'] = np.zeros((ny, nx)) - s['tau'] = np.zeros((ny, nx)) - s['taus'] = np.zeros((ny, nx)) - s['taun'] = np.zeros((ny, nx)) - s['tau0'] = np.zeros((ny, nx)) - s['taus0'] = np.zeros((ny, nx)) - s['taun0'] = np.zeros((ny, nx)) - s['hveg'] = np.zeros((ny, nx)) - - # Parameters - p = {} - p['alfa'] = 0.0 - p['kappa'] = 0.4 - p['z'] = 10.0 - p['k'] = 0.001 - p['method_roughness'] = 'constant' - p['rhoa'] = 1.25 - p['process_wind'] = False - p['wind_file'] = None - - # Set wind from 0/360 degrees (from north, blowing south) - s['uw'][:, :] = 15.0 - s['udir'][:, :] = 0.0 # or 360.0 - - # Run wind interpolation - s = interpolate(s, p, t=0.0) - - # For wind from 0° with alfa=0: - # uws = -uw * sin(0) = 0 - # uwn = -uw * cos(0) = -15 - - # Check components - assert np.allclose(s['ustars'], 0, atol=1e-10), "ustars should be 0 for wind from 0°" - assert np.all(s['ustarn'] < 0), "ustarn should be negative for wind from 0°" - - # Check that the 0 components are preserved - assert np.allclose(s['ustars0'], s['ustars'], rtol=1e-10), \ - "ustars0 should equal ustars (0)" - assert np.allclose(s['ustarn0'], s['ustarn'], rtol=1e-10), \ - "ustarn0 should equal ustarn" diff --git a/wind_test/LIDAR_2D_X.txt b/wind_test/LIDAR_2D_X.txt deleted file mode 100644 index 08b1442c..00000000 --- a/wind_test/LIDAR_2D_X.txt +++ /dev/null @@ -1,200 +0,0 @@ -0.000000000000000000e+00 1.000000000000000000e+00 2.000000000000000000e+00 3.000000000000000000e+00 4.000000000000000000e+00 5.000000000000000000e+00 6.000000000000000000e+00 7.000000000000000000e+00 8.000000000000000000e+00 9.000000000000000000e+00 1.000000000000000000e+01 1.100000000000000000e+01 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8.640967708547838910e+00 8.699999809265136719e+00 8.701374634282911913e+00 8.727903104704802573e+00 8.848817573284383897e+00 8.836739856923442105e+00 8.810000419616699219e+00 8.821632256468939559e+00 8.942395903944737157e+00 8.972108498322132419e+00 9.001820215200542208e+00 9.031531980786683178e+00 9.061244602631679967e+00 9.088087788347495533e+00 diff --git a/wind_test/Wind_U15_D270.txt b/wind_test/Wind_U15_D270.txt deleted file mode 100644 index 97e31b48..00000000 --- a/wind_test/Wind_U15_D270.txt +++ /dev/null @@ -1,2 +0,0 @@ -0.000000 15.000000 270.000000 -1209600.0 15.000000 270.000000 diff --git a/wind_test/aeolis_U15_D270.txt b/wind_test/aeolis_U15_D270.txt deleted file mode 100644 index c66a53ae..00000000 --- a/wind_test/aeolis_U15_D270.txt +++ /dev/null @@ -1,177 +0,0 @@ -%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -%% AeoLiS model configuration %% -%% Date: 2020-04-22 12:26:11 %% -%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% - -%% -------------------- [Timing] ----------------------------- %% -dt = 3600.000 % [s] Timeinterval between timesteps -tstart = 0 % [s] Starting time of the simulation -tstop = 1209600.000 % [s] End time of the simulation -restart = None % [s] Interval for which to write restart files -refdate = 2020-01-01 00:00 % [-] Reference datetime in netCDF output - -%% -------------------- [Grid files *.grd] ------------------- %% -xgrid_file = LIDAR_2D_X.txt % Filename of ASCII file with x-coordinates of grid cells -ygrid_file = LIDAR_2D_Y.txt % Filename of ASCII file with y-coordinates of grid cells -bed_file = LIDAR_2D_Z.txt % Filename of ASCII file with bed level heights of grid cells -ne_file = None % Filename of ASCII file with non-erodible layer -veg_file = None % Filename of ASCII file with initial vegetation density -threshold_file = None % Filename of ASCII file with shear velocity threshold -fence_file = None % Filename of ASCII file with sand fence location/height (above the bed) -wave_mask = None % Filename of ASCII file with mask for wave height -tide_mask = None % Filename of ASCII file with mask for tidal elevation -threshold_mask = None % Filename of ASCII file with mask for the shear velocity threshold - -%% -------------------- [Time series *.txt] ------------------ %% -tide_file = None % Filename of ASCII file with time series of water levels -wave_file = None % Filename of ASCII file with time series of wave heights (and periods) -wind_file = Wind_U15_D270.txt % Filename of ASCII file with time series of wind velocity and direction -bedcomp_file = None % Filename of ASCII file with initial bed composition -meteo_file = None % Filename of ASCII file with time series of meteorlogical conditions - -%% -------------------- [Output] ----------------------------- %% -output_times = 86400.000 % [s] Timeinterval [s] between *.nc output file -output_file = None % [-] Name of the *.nc output file -output_vars = zb dzb zs ustar ustarn ustars uth zsep Cu Ct u us un u0 rhoveg hveg % [-] List of output variables for in *.nc output file - -%% -------------------- [Flags Processes] -------------------- %% -process_wind = T % [T/F] Enable the process of wind -process_shear = T % [T/F] Enable the process of wind shear -process_tide = F % [T/F] Enable the process of tides -process_wave = F % [T/F] Enable the process of waves -process_runup = F % [T/F] Enable the process of wave runup -process_moist = F % [T/F] Enable the process of moist -process_mixtoplayer = F % [T/F] Enable the process of mixing -process_threshold = T % [T/F] Enable the process of threshold -process_transport = T % [T/F] Enable the process of transport -process_bedupdate = T % [T/F] Enable the process of bed updating -process_meteo = F % [T/F] Enable the process of meteo -process_salt = F % [T/F] Enable the process of salt -process_humidity = F % [T/F] Enable the process of humidity -process_avalanche = T % [T/F] Enable the process of avalanching -process_inertia = F % [T/F] NEW (???) -process_separation = T % [T/F] Enable the including of separation bubble -process_vegetation = F % [T/F] Enable the process of vegetation -process_fences = F % [T/F] Enable the process of sand fencing -process_dune_erosion = F % [T/F] Enable the process of wave-driven dune erosion - -%% -------------------- [Flags Threshold] -------------------- %% -th_grainsize = T % [T/F] Enable wind velocity threshold based on grainsize -th_bedslope = F % [T/F] Enable wind velocity threshold based on bedslope -th_moisture = F % [T/F] Enable wind velocity threshold based on moisture -th_drylayer = F % [T/F] Enable wind velocity threshold based on drying of layer -th_humidity = F % [T/F] Enable wind velocity threshold based on humidity -th_salt = F % [T/F] Enable wind velocity threshold based on salt -th_roughness = F % [T/F] Enable wind velocity threshold based on roughness -th_nelayer = T % [T/F] Enable wind velocity threshold based on a non-erodible layer - -%% -------------------- [General physics] -------------------- %% -g = 9.81 % [m/s^2] Gravitational constant -v = 0.000015 % [m^2/s] Air viscosity -rhoa = 1.225 % [kg/m^3] Air density -rhog = 2650.0 % [kg/m^3] Grain density -rhow = 1025.0 % [kg/m^3] Water density -porosity = 0.4 % [-] Sediment porosity -cpair = 0.0010035 % [MJ/kg/oC] Specific heat capacity air - -%% -------------------- [Sediment] --------------------------- %% -nlayers = 1 % [-] Number of bed layers -layer_thickness = 0.05000 % [m] Thickness of bed layers -nfractions = 1 % [-] Number of sediment fractions -grain_dist = 1.0 % [-] Initial distribution of sediment fractions -grain_size = 0.00025 % [m] Average grain size of each sediment fraction - -%% -------------------- [Wind and shear] --------------------- %% -wind_convention = nautical % [-] Convention used for the wind direction in the input files (cartesian or nautical) -alfa = 0 % [deg] Real-world grid cell orientation wrt the North (clockwise) -k = 0.001 % [m] Bed roughness -z = 10. % [m] Measurement height of wind velocity -kappa = 0.41 % [-] Von Kármán constant -h = None % [m] Representative height of saltation layer -L = 100. % [m] Typical length scale of dune feature (perturbation) -l = 1. % [m] Inner layer height (perturbation) -m = 1. % [-] Factor to account for difference between average and maximum shear stress - -%% -------------------- [Transport] -------------------------- %% -bi = 0.50000 % [-] Bed interaction factor -method_transport = bagnold % [-] Name of method to compute equilibrium sediment transport rate -method_grainspeed = duran_full % [-] Name of method to assume/compute grainspeed -Aa = 0.085 % [-] Constant in formulation for wind velocity threshold based on grain size -Cb = 1.5 % [-] Constant in bagnold formulation for equilibrium sediment concentration -Ck = 2.78 % [-] Constant in kawamura formulation for equilibrium sediment concentration -Cl = 6.7 % [-] Constant in lettau formulation for equilibrium sediment concentration -Cdk = 5. % [-] Constant in DK formulation for equilibrium sediment concentration - -%% -------------------- [Solver] ----------------------------- %% -T = 1. % [s] Adaptation time scale in advection equation ( -solver = steadystate % [-] Numerical solver of advection scheme (pieter is more computationnally costy) -CFL = 1. % [-] CFL number to determine time step in explicit scheme -accfac = 1. % [-] Numerical acceleration factor -scheme = euler_backward % [-] Name of numerical scheme (euler_forward, euler_backward or crank_nicolson) -max_error = 0.000001 % [-] Maximum error at which to quit iterative solution in implicit numerical schemes -max_iter = 1000 % [-] Maximum number of iterations at which to quit iterative solution in implicit numerical schemes -max_bedlevel_change = 0.02 % [m] Maximum bedlevel change after one timestep. Next timestep dt will be modified (use 999. if not used) - -%% -------------------- [Boundary conditions] ---------------- %% -boundary_onshore = constant % [-] Name of onshore boundary conditions (flux, constant, uniform, gradient) -boundary_lateral = circular % [-] Name of lateral boundary conditions (circular, constant ==noflux) -boundary_offshore = flux % [-] Name of offshore boundary conditions (flux, constant, uniform, gradient) -offshore_flux = 0.13 % [-] Factor to determine offshore boundary flux as a function of Q0 (= 1 for saturated flux , = 0 for noflux) -constant_offshore_flux = 0. % [kg/m/s] Constant input flux at offshore boundary -onshore_flux = 0. % [-] Factor to determine onshore boundary flux as a function of Q0 (= 1 for saturated flux , = 0 for noflux) -constant_onshore_flux = 0. % [kg/m/s] Constant input flux at offshore boundary -lateral_flux = 0. % [-] Factor to determine lateral boundary flux as a function of Q0 (= 1 for saturated flux , = 0 for noflux) -sedimentinput = 0. % [-] Constant boundary sediment influx (only used in solve_pieter) - -%% -------------------- [Rotating shear-grid] ---------------- %% -dx = 1.0 % [m] Size of dimension of the computational grid that is generated for a rotating shear computation in x-direction -dy = 1.0 % [m] Size of dimension of the computational grid that is generated for a rotating shear computation in x-direction -buffer_width = 20.0 % [m] Width of the bufferzone around the rotational grid for wind perturbation - -%% -------------------- [Vegetation] ------------------------- %% -sigma = 4.2 % [-] Ratio between basal area and frontal area of roughness elements -beta = 130.000000 % [-] Ratio between drag coefficient of roughness elements and bare surface -gamma_vegshear = 16. % [-] Roughness factor for the shear stress reduction by vegetation -avg_time = 3600. % [s] Indication of the time period over which the bed level change is averaged for vegetation growth -dzb_interval = 3600. % [s] Interval used for calcuation of vegetation growth -hveg_max = 1. % [m] Max height of vegetation -dzb_opt = 0. % [m/year] Sediment burial for optimal growth -V_ver = 0. % [m/year] Vertical growth -V_lat = 0. % [m/year] Lateral growth -germinate = 0. % [1/year] Possibility of germination per year -lateral = 0. % [1/year] Posibility of lateral expension per year -veg_gamma = 1. % [-] Constant on influence of sediment burial -veg_sigma = 0.8 % [-] Sigma in gaussian distrubtion of vegetation cover filter -vegshear_type = raupach % [-] Choose the Raupach grid based solver (1D or 2D) or the Okin approach (1D only) -okin_c1_veg = 0.48 % [-] x/h spatial reduction factor in Okin model for use with vegetation -okin_initialred_veg = 0.32 % [-] initial shear reduction factor in Okin model for use with vegetation - -%% -------------------- [Fences] ----------------------------- %% -okin_c1_fence = 0.48 % [-] x/h spatial reduction factor in Okin model for use with sand fence module -okin_initialred_fence = 0.32 % [-] initial shear reduction factor in Okin model for use with sand fence module - -%% -------------------- [Seperation] ------------------------- %% -c_b = 0.2 % [-] Slope at the leeside of the separation bubble # c = 0.2 according to Durán 2010 (Sauermann 2001: c = 0.25 for 14 degrees) -mu_b = 20. % [deg] Minimum required slope for the start of flow separation -sep_filter_iterations = 0 % [-] Number of filter iterations on the separation bubble (0 = no filtering) -zsep_y_filter = F % [T/F] Boolean for turning on/off the filtering of the separation bubble height in y-direction - -%% -------------------- [Soil moisture] ---------------------- %% -Tdry = 7200.000 % [s] Adaptation time scale for soil drying -eps = 0.001 % [m] Minimum water depth to consider a cell "flooded" -method_moist = belly_johnson % [-] Name of method to compute wind velocity threshold based on soil moisture content - -%% -------------------- [Salt] ------------------------------- %% -Tsalt = 2592000.000 % [s] Adaptation time scale for salinitation -csalt = 0.0035 % [-] Maximum salt concentration in bed surface layer - -%% -------------------- [Waves] ------------------------------ %% -Tbedreset = 86400. % [s] Adaptation time for resetting morphology in the Swash-zone -xi = .3 % [-] Surf similarity parameter -facDOD = .1 % [-] Ratio between depth of disturbance and local wave height - -%% -------------------- [Avalanching] ------------------------ %% -theta_dyn = 33. % [degrees] Initial Dynamic angle of repose, critical dynamic slope for avalanching -theta_stat = 34. % [degrees] Initial Static angle of repose, critical static slope for avalanching -max_iter_ava = 1000 % [-] Maximum number of iterations at which to quit iterative solution in avalanching calculation -visualization = F \ No newline at end of file From bff670ec72403dd345d5afd3246a3401067ed99e Mon Sep 17 00:00:00 2001 From: Sierd Date: Fri, 14 Nov 2025 13:33:11 +0100 Subject: [PATCH 11/11] shear patch --- aeolis/shear.py | 59 +++++++++++++++++++++++++++++++++++-------------- 1 file changed, 43 insertions(+), 16 deletions(-) diff --git a/aeolis/shear.py b/aeolis/shear.py index 136ab0d7..5b2ae4e0 100644 --- a/aeolis/shear.py +++ b/aeolis/shear.py @@ -576,31 +576,58 @@ def compute_shear(self, u0, nfilter=(1., 2.)): # Arrays in Fourier k = np.sqrt(kx**2 + ky**2) - sigma = np.sqrt(1j * L * kx * z0new /l) time_start_perturbation = time.time() - + + # Shear stress perturbation - # Use safe division to avoid zero/invalid values at kx=0 or k=0 - k_safe = np.where(k == 0, 1.0, k) - kx_safe = np.where(kx == 0, 1.0, kx) - - dtaux_t = hs * kx**2 / k_safe * 2 / ul**2 * \ - (-1. + (2. * np.log(l/z0new) + k**2/kx_safe**2) * sigma * \ - sc_kv(1., 2. * sigma) / sc_kv(0., 2. * sigma)) + # Use masked computation to avoid division by zero and invalid special-function calls. + # Build boolean mask for valid Fourier modes where formula is defined. + valid = (k != 0) & (kx != 0) + + # Pre-allocate zero arrays for Fourier-domain shear perturbations + dtaux_t = np.zeros_like(hs, dtype=complex) + dtauy_t = np.zeros_like(hs, dtype=complex) + + if np.any(valid): + # Extract valid-mode arrays + k_v = k[valid] + kx_v = kx[valid] + ky_v = ky[valid] + hs_v = hs[valid] + + # z0new can be scalar or array; index accordingly + if np.size(z0new) == 1: + z0_v = z0new + else: + z0_v = z0new[valid] - dtauy_t = hs * kx * ky / k_safe * 2 / ul**2 * \ - 2. * np.sqrt(2.) * sigma * sc_kv(1., 2. * np.sqrt(2.) * sigma) + # compute sigma on valid modes + sigma_v = np.sqrt(1j * L * kx_v * z0_v / l) - # Zero out invalid regions (kx=0 or k=0) where formulation is not valid - invalid_mask = (k == 0) | (kx == 0) - dtaux_t[invalid_mask] = 0. - dtauy_t[invalid_mask] = 0. - + # Evaluate Bessel K functions on valid arguments only + kv0 = sc_kv(0., 2. * sigma_v) + kv1 = sc_kv(1., 2. * sigma_v) + + # main x-direction perturbation (vectorized on valid indices) + term_x = -1. + (2. * np.log(l / z0_v) + (k_v**2) / (kx_v**2)) * sigma_v * (kv1 / kv0) + dtaux_v = hs_v * (kx_v**2) / k_v * 2. / ul**2 * term_x + + # y-direction perturbation (also vectorized) + kv1_y = sc_kv(1., 2. * np.sqrt(2.) * sigma_v) + dtauy_v = hs_v * (kx_v * ky_v) / k_v * 2. / ul**2 * 2. * np.sqrt(2.) * sigma_v * (kv1_y) + + # store back into full arrays (other entries remain zero) + dtaux_t[valid] = dtaux_v + dtauy_t[valid] = dtauy_v + + # invalid modes remain 0 (physically reasonable for k=0 or kx=0) gc['dtaux'] = np.real(np.fft.ifft2(dtaux_t)) gc['dtauy'] = np.real(np.fft.ifft2(dtauy_t)) + + def separation_shear(self, hsep): '''Reduces the computed wind shear perturbation below the