From 9f0dd92a14872be521a319f9e370440841011014 Mon Sep 17 00:00:00 2001 From: seimurs Date: Mon, 4 Aug 2025 15:39:57 +0100 Subject: [PATCH 1/6] 1) introducing wave forcing interface adapting fragkouan/thetis_wci. 2) tidal inlet test case in examples. 3) introduction of wave_forcing option for sediments and van Rijn bedload formulation. --- examples/tidalInlet/inlet.py | 1 + examples/tidalInlet/plot_results.py | 272 + .../tidalInlet/tidalInlet_bathymetry_data.msh | 18591 +++++++++++++++ examples/tidalInlet/tidalinlet.msh | 19021 ++++++++++++++++ test/examples/test_examples.py | 1 + thetis/coupled_timeintegrator_2d.py | 5 +- thetis/field_defs.py | 42 + thetis/options.py | 17 +- thetis/radiation_stress.py | 301 + thetis/sediment_model.py | 91 +- thetis/shallowwater_eq.py | 37 + thetis/solver2d.py | 171 +- 12 files changed, 38530 insertions(+), 20 deletions(-) create mode 120000 examples/tidalInlet/inlet.py create mode 100644 examples/tidalInlet/plot_results.py create mode 100644 examples/tidalInlet/tidalInlet_bathymetry_data.msh create mode 100644 examples/tidalInlet/tidalinlet.msh create mode 100644 thetis/radiation_stress.py diff --git a/examples/tidalInlet/inlet.py b/examples/tidalInlet/inlet.py new file mode 120000 index 000000000..f7ddd95a6 --- /dev/null +++ b/examples/tidalInlet/inlet.py @@ -0,0 +1 @@ +/Users/sshirinov/Library/CloudStorage/OneDrive-AlmaMaterStudiorumUniversitàdiBologna/mac/cmcc/shyfem/cases/inlet/thetis/inlet.py \ No newline at end of file diff --git a/examples/tidalInlet/plot_results.py b/examples/tidalInlet/plot_results.py new file mode 100644 index 000000000..60630d313 --- /dev/null +++ b/examples/tidalInlet/plot_results.py @@ -0,0 +1,272 @@ +import os +import sys +import numpy as np +import pyvista as pv +import matplotlib.pyplot as plt +import matplotlib.tri as tri +from matplotlib.cm import get_cmap +import matplotlib.colors as colors +import colorcet as cc # Required if using 'cet_rainbow4' colormap + +# Execution set-up is at the end of this script + +# FUNCTIONS: +# ============================================================================== +def truncate_colormap(cmap, minval=0.0, maxval=1.0, n=100): + return colors.LinearSegmentedColormap.from_list( + f'trunc({cmap.name},{minval:.2f},{maxval:.2f})', + cmap(np.linspace(minval, maxval, n)) + ) + +def plot_combined_view( + timestep_val: int, + coredirout: str, + extension: str, + cmap_obj: plt.cm, + fig_size: tuple = (18, 16), + aspect_equal: bool = True +) -> None: + """ + Plots velocity, sediment, bathymetry, and SSH fields in a 2x2 subplot for a given timestep. + """ + + # Configure the min-max color bar values for the fields + plot_configs = { + 'vel': { + 'VARIABLE_BASE_NAME': 'Velocity2d', + 'FIELD_NAME_IN_VTU': 'Depth averaged velocity', + 'VARIABLE_BASE_DIR': 'Velocity2d', + 'vmin': 0.0, 'vmax': 0.5, + 'is_bathymetry': False, 'is_sediments': False, 'is_ssh': False, + 'title': 'Velocity Magnitude' + }, + 'sed': { + 'VARIABLE_BASE_NAME': 'Sediment2d', + 'FIELD_NAME_IN_VTU': 'Sediment', + 'VARIABLE_BASE_DIR': 'Sediment2d', + 'vmin': 0.0, 'vmax': 0.5, + 'is_bathymetry': False, 'is_sediments': True, 'is_ssh': False, + 'title': 'Sediment Concentration' + }, + 'bathy': { + 'VARIABLE_BASE_NAME': 'Bathymetry2d', + 'FIELD_NAME_IN_VTU': 'Bathymetry', + 'VARIABLE_BASE_DIR': 'Bathymetry2d', + 'vmin': 9.0, 'vmax': 12.0, + 'is_bathymetry': True, 'is_sediments': False, 'is_ssh': False, + 'title': 'Bathymetry Change' + }, + 'ssh': { + 'VARIABLE_BASE_NAME': 'Elevation2d', + 'FIELD_NAME_IN_VTU': 'Elevation', + 'VARIABLE_BASE_DIR': 'Elevation2d', + 'vmin': 0.94, 'vmax': 1.03, + 'is_bathymetry': False, 'is_sediments': False, 'is_ssh': True, + 'title': 'Sea Surface Height (SSH)' + } + } + + def get_data_for_plot(config): + """Helper function to load and process data for a single plot.""" + data_dir = os.path.join(coredirout, config['VARIABLE_BASE_DIR'], config['VARIABLE_BASE_DIR']) + file_name = f"{config['VARIABLE_BASE_NAME']}_{timestep_val}.{extension}" + filepath = os.path.join(data_dir, file_name) + + if not os.path.exists(filepath): + print(f"Warning: File not found for {config['title']} at timestep {timestep_val}. Skipping.") + return None + + try: + mesh = pv.read(filepath) + if config['is_bathymetry']: + originalbathy_mesh = pv.read(os.path.join(data_dir, f"{config['VARIABLE_BASE_NAME']}_{0}.{extension}")) + if config['is_ssh']: + filepath_vel = os.path.join(f'{coredirout}/Velocity2d/Velocity2d', f"Velocity2d_{timestep_val}.{extension}") + mesh_vel = pv.read(filepath_vel) + except Exception as e: + print(f"Error reading mesh for {config['title']}: {e}. Skipping.") + return None + + field_name = config['FIELD_NAME_IN_VTU'] + if field_name in mesh.cell_data: + mesh = mesh.cell_data_to_point_data() + if config['is_bathymetry']: + originalbathy_mesh = originalbathy_mesh.cell_data_to_point_data() + + if field_name not in mesh.point_data: + print(f"Error: Field '{field_name}' not found for {config['title']}. Skipping.") + return None + + raw_field_data = mesh.point_data[field_name] + velocity_x, velocity_y = None, None + + is_vector_field = (field_name == 'Depth averaged velocity' and raw_field_data.ndim > 1 and raw_field_data.shape[-1] >= 2) + + if is_vector_field: + velocity_x, velocity_y = raw_field_data[:, 0], raw_field_data[:, 1] + field_data = np.sqrt(velocity_x**2 + velocity_y**2) + elif config['is_bathymetry']: + raw_field_data_originalbathy = originalbathy_mesh.point_data[field_name] + field_data = (raw_field_data_originalbathy - raw_field_data) + 10 + elif config['is_sediments']: + field_data = raw_field_data * 1024 + elif config['is_ssh']: + field_data = raw_field_data + raw_field_data_vel = mesh_vel.point_data['Depth averaged velocity'] + velocity_x, velocity_y = raw_field_data_vel[:, 0], raw_field_data_vel[:, 1] + else: + field_data = raw_field_data + + # Triangulation + try: + tri_mesh = mesh.extract_surface().extract_all_triangles() + if tri_mesh.n_cells > 0 and tri_mesh.faces.size > 0: + triangle_cells = tri_mesh.faces.reshape(-1, 4)[:, 1:] if tri_mesh.faces[0] == 3 else tri_mesh.faces.reshape(-1, 3) + else: + triangle_cells = mesh.cells.reshape((-1, 4))[:, 1:] + except Exception: + triangle_cells = mesh.cells.reshape((-1, 4))[:, 1:] + + unique_indices = np.unique(triangle_cells.flatten()) + idx_map = np.full(mesh.points.shape[0], -1, dtype=int) + idx_map[unique_indices] = np.arange(len(unique_indices)) + + filtered_points = mesh.points[unique_indices, :2] + filtered_field_data = field_data[unique_indices] + x_coords, y_coords = filtered_points[:, 0], filtered_points[:, 1] + remapped_cells = idx_map[triangle_cells] + triangulation = tri.Triangulation(x_coords, y_coords, remapped_cells) + + return { + 'triangulation': triangulation, + 'filtered_field_data': filtered_field_data, + 'config': config, + 'is_vector_field': is_vector_field or config['is_ssh'], + 'velocity_x': velocity_x[unique_indices] if velocity_x is not None else None, + 'velocity_y': velocity_y[unique_indices] if velocity_y is not None else None, + 'filtered_points': filtered_points + } + + # --- Plotting Setup --- + fig, axes = plt.subplots(2, 2, figsize=fig_size, dpi=200) + fig.suptitle(f"Combined View — Timestep {timestep_val}", fontsize=24) + + plot_order = [('vel', axes[0, 0]), ('sed', axes[0, 1]), + ('bathy', axes[1, 0]), ('ssh', axes[1, 1])] + + for key, ax in plot_order: + plot_data = get_data_for_plot(plot_configs[key]) + if plot_data is None: + ax.text(0.5, 0.5, 'Data not available', ha='center', va='center') + ax.set_title(plot_configs[key]['title']) + continue + + # --- Plotting Logic --- + config = plot_data['config'] + vmin, vmax = config['vmin'], config['vmax'] + contour_step = (vmax - vmin) / NUM_CBARS + levels = np.arange(vmin, vmax + contour_step, contour_step) + + im = ax.tricontourf( + plot_data['triangulation'], + plot_data['filtered_field_data'], + levels=levels, cmap=cmap_obj, extend='both', vmin=vmin, vmax=vmax + ) + + if plot_data['is_vector_field']: + from scipy.interpolate import griddata + xi = np.linspace(plot_data['filtered_points'][:, 0].min(), plot_data['filtered_points'][:, 0].max(), 100) + yi = np.linspace(plot_data['filtered_points'][:, 1].min(), plot_data['filtered_points'][:, 1].max(), 100) + grid_x, grid_y = np.meshgrid(xi, yi) + u_grid = griddata(plot_data['filtered_points'], plot_data['velocity_x'], (grid_x, grid_y), method='linear') + v_grid = griddata(plot_data['filtered_points'], plot_data['velocity_y'], (grid_x, grid_y), method='linear') + ax.streamplot(grid_x, grid_y, u_grid, v_grid, color='k', linewidth=0.8, arrowsize=1.0, density=1.5) + + # --- Formatting --- + ax.set_title(config['title'], fontsize=18) + ax.set_xlabel(r'X, $(km)$', fontsize=16) + ax.set_ylabel(r'Y, $(km)$', fontsize=16) + ax.tick_params(axis='both', labelsize=14) + ax.set_xlim([0, 15000]) + ax.set_ylim([0, 14000]) + ax.grid(True, linestyle='--', alpha=0.7) + + from matplotlib.ticker import FuncFormatter + def to_km(x, pos): return f"{x / 1000:.0f}" + ax.xaxis.set_major_formatter(FuncFormatter(to_km)) + ax.yaxis.set_major_formatter(FuncFormatter(to_km)) + + cbar = fig.colorbar(im, ax=ax, orientation='vertical', aspect=20, pad=0.08) + cbar.set_label(config['FIELD_NAME_IN_VTU'], fontsize=16) + cbar.ax.tick_params(labelsize=14) + + tick_step = contour_step * NUM_CBARS/2 + # cbar.set_ticks(np.arange(vmin, vmax + tick_step, tick_step)) + cbar.set_ticks(np.arange(vmin, vmax + contour_step, contour_step*2)) + + plt.tight_layout(rect=[0, 0, 1, 0.96]) + + if 'SHOW_FIG' in globals() and SHOW_FIG: + plt.show() + + if 'SAVE_FIG' in globals() and SAVE_FIG: + FIGURES_DIR = './figures' + if not os.path.exists(FIGURES_DIR): + os.makedirs(FIGURES_DIR) + + filename = os.path.join(FIGURES_DIR, f"combined_view_{timestep_val}.jpg") + plt.savefig(filename, dpi=300, bbox_inches='tight') + print(f"Figure saved to {filename}") + + plt.close(fig) + + + + +# MAIN execution (combined plot) +# ============================================================================== + +# SET UP parameters below to plot: + +# - time window to plot (in terms of time indicies) +# TIME_WINDOW = np.arange(47, 50, 1) # +# TIME_WINDOW = np.arange(4, 6, 1) # +TIME_WINDOW = np.arange(96, 98, 1) # ~ 48 hours if half-hourly export (t_export = 1800) + +# - output files: +coredirout = './outputs_sed' + +# - color map settings +trunc_cmap_min = 0.1 +trunc_cmap_max = 1.0 + +# - bar plot sections - +NUM_CBARS = 20 + +# - extension for file reading +extension = 'vtu' # for single core +extension = 'pvtu' # for multi-core + +# - figure params +COLORMAP_NAME = 'cet_rainbow4' +FIGURE_SIZE = (9, 8) +PLOT_ASPECT_EQUAL = True +SAVE_FIG = True +SHOW_FIG = False # Set to True to show the plot + +# Execute +if __name__ == "__main__": + try: + selected_colormap = get_cmap(COLORMAP_NAME) + selected_colormap = truncate_colormap(selected_colormap, trunc_cmap_min, trunc_cmap_max) + except ValueError: + print(f"Error: Colormap '{COLORMAP_NAME}' not found. 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+12616 2 2 1 3 6166 429 6263 +12617 2 2 1 3 3633 6171 6243 +12618 2 2 1 3 4435 6169 6257 +12619 2 2 1 3 433 6170 6256 +12620 2 2 1 3 6167 960 6264 +12621 2 2 1 3 4047 6172 6252 +12622 2 2 1 3 4066 6173 6259 +12623 2 2 1 3 4094 6174 6242 +12624 2 2 1 3 6176 3636 6260 +12625 2 2 1 3 6180 450 6237 +12626 2 2 1 3 484 6177 6255 +12627 2 2 1 3 6179 961 6240 +12628 2 2 1 3 4354 6181 6253 +12629 2 2 1 3 6183 5263 6251 +12630 2 2 1 3 6185 3635 6245 +12631 2 2 1 3 439 6182 6261 +12632 2 2 1 3 6187 433 6241 +12633 2 2 1 3 6186 3637 6254 +12634 2 2 1 3 6178 439 6262 +12635 2 2 1 3 6188 965 6244 +12636 2 2 1 3 6189 432 6239 +12637 2 2 1 3 6190 3333 6248 +12638 2 2 1 3 3327 6192 6249 +12639 2 2 1 3 960 6191 6250 +12640 2 2 1 3 3335 6184 6258 +12641 2 2 1 3 3900 6193 6247 +12642 2 2 1 3 1985 6197 6238 +12643 2 2 1 3 6196 3871 6236 +12644 2 2 1 3 3638 6198 6246 +12645 2 2 1 3 6107 2852 6312 +12646 2 2 1 3 6085 3602 6317 +12647 2 2 1 3 315 6107 6312 +12648 2 2 1 3 6141 3772 6325 +12649 2 2 1 3 3934 6140 6326 +12650 2 2 1 3 6118 3642 6316 +12651 2 2 1 3 6203 1909 6326 +12652 2 2 1 3 1903 6204 6325 +12653 2 2 1 3 2222 6115 6313 +12654 2 2 1 3 2805 6093 6331 +12655 2 2 1 3 3735 6153 6319 +12656 2 2 1 3 3729 6152 6318 +12657 2 2 1 3 6124 3649 6314 +12658 2 2 1 3 6135 3969 6320 +12659 2 2 1 3 3618 6127 6321 +12660 2 2 1 3 3667 6159 6330 +12661 2 2 1 3 2282 6231 6321 +12662 2 2 1 3 6231 3618 6321 +12663 2 2 1 3 6161 2805 6331 +12664 2 2 1 3 6199 3655 6329 +12665 2 2 1 3 6200 3660 6327 +12666 2 2 1 3 6283 2066 6333 +12667 2 2 1 3 6284 451 6332 +12668 2 2 1 3 2054 6285 6335 +12669 2 2 1 3 6288 1815 6336 +12670 2 2 1 3 6287 479 6334 +$EndElements diff --git a/test/examples/test_examples.py b/test/examples/test_examples.py index c9ebfe1b8..b8aa9d250 100644 --- a/test/examples/test_examples.py +++ b/test/examples/test_examples.py @@ -52,6 +52,7 @@ 'north_sea/plot_setup.py', 'north_sea/spinup.py', 'north_sea/run.py', + 'tidalInlet/inlet.py', ] cwd = os.path.abspath(os.path.dirname(__file__)) diff --git a/thetis/coupled_timeintegrator_2d.py b/thetis/coupled_timeintegrator_2d.py index a5f10e0a0..518bde275 100644 --- a/thetis/coupled_timeintegrator_2d.py +++ b/thetis/coupled_timeintegrator_2d.py @@ -199,12 +199,11 @@ def initialize(self, solution2d): self.timesteppers.swe2d.initialize(self.fields.solution_2d) if self.nh_options.update_free_surface: self.timesteppers.fs2d.initialize(self.fields.elev_2d) + self.elev_old.assign(self.fields.elev_2d) @PETSc.Log.EventDecorator("thetis.NonHydrostaticTimeIntegrator2D.advance") def advance(self, t, update_forcings=None): """Advances equations for one time step.""" - if self.nh_options.update_free_surface: - self.elev_old.assign(self.fields.elev_2d) if self.serial_advancing: # --- advance in serial --- self.timesteppers.swe2d.advance(t, update_forcings=update_forcings) @@ -214,6 +213,7 @@ def advance(self, t, update_forcings=None): if self.nh_options.update_free_surface: self.fields.elev_2d.assign(self.elev_old) self.timesteppers.fs2d.advance(t, update_forcings=update_forcings) + self.elev_old.assign(self.fields.elev_2d) # update old solution if self.options.swe_timestepper_type == 'SSPIMEX': self.timesteppers.swe2d.erk.solution_old.assign(self.fields.solution_2d) @@ -234,3 +234,4 @@ def advance(self, t, update_forcings=None): elif last_stage: self.fields.elev_2d.assign(self.elev_old) self.timesteppers.fs2d.advance(t, update_forcings=update_forcings) + self.elev_old.assign(self.fields.elev_2d) diff --git a/thetis/field_defs.py b/thetis/field_defs.py index fa0733acc..b454f91f6 100644 --- a/thetis/field_defs.py +++ b/thetis/field_defs.py @@ -250,9 +250,51 @@ 'unit': 'm s-1', 'filename': 'VertVelo2d', } +field_metadata['rad_stress_2d'] = { + 'name': 'Gradient of radiations stress', + 'shortname': 'Grad radiation stress', + 'unit': 'kg m-1 s-2', + 'filename': 'GradRadStress2d', +} +field_metadata['roller_2d'] = { + 'name': 'Roller effects', + 'shortname': 'Roller effects', + 'unit': 'kg m-1 s-2', + 'filename': 'Roller2d', +} field_metadata['turbine_density_2d'] = { 'name': 'Turbine density', 'shortname': 'Turbine density', 'unit': 'm-2', 'filename': 'turbine_density_2d' } +field_metadata['wave_height_2d'] = { + 'name': 'Significant wave height', + 'shortname': 'Hs', + 'unit': 'm', + 'filename': 'WaveHeight2d', +} +field_metadata['wave_peak_freq_2d'] = { + 'name': 'Peak wave frequency', + 'shortname': 'Fp', + 'unit': 's-1', + 'filename': 'WavPeakFreq2d', +} +field_metadata['wave_dir_2d'] = { + 'name': 'Wave direction', + 'shortname': 'Wdir', + 'unit': 'deg (meteo)', + 'filename': 'WaveDir2d', +} +field_metadata['wave_orbital_vel_2d'] = { + 'name': 'Near-bed wave orbital velocity magnitude', + 'shortname': 'Uw', + 'unit': 'm/s', + 'filename': 'WaveOrbVel2d', +} +field_metadata['wave_mean_period_2d'] = { + 'name': 'Mean wave period', + 'shortname': 'Tm', + 'unit': 's', + 'filename': 'WaveMeanPeriod2d', +} diff --git a/thetis/options.py b/thetis/options.py index 943c60b8f..69261c95b 100644 --- a/thetis/options.py +++ b/thetis/options.py @@ -750,6 +750,11 @@ class CommonModelOptions(FrozenConfigurable): help='Name of the exner time integrator').tag(config=True), Instance(TimeStepperOptions, args=()).tag(config=True)) class SedimentModelOptions(FrozenHasTraits): + # seime.turn on waves: + wave_forcing = Bool(False, + help='Activate wave forcing. This implies providing the following wave parameters: orbital velocity, height, direction, frequency, and period.' + ).tag(config=True) + van_Rijn_bedload = Bool(False, help='Use van Rijn (2007) bedload formulation').tag(config=True) solve_exner = Bool(False, help='Solve exner equation for bed morphology').tag(config=True) solve_suspended_sediment = Bool(False, help='Solve suspended sediment transport equation').tag(config=True) use_sediment_conservative_form = Bool(False, help='Solve 2D sediment transport in the conservative form').tag(config=True) @@ -934,7 +939,17 @@ class ModelOptions2d(CommonModelOptions): False, help="Use SUPG stabilisation in tracer advection").tag(config=True) tracer_picard_iterations = PositiveInteger( 1, help="Number of Picard iterations taken for tracer equations.").tag(config=True) - + wave_curr_inter = Bool( + False, help="Enable wave-current interaction").tag(config=True) + use_swan = Bool( + False, help="Use SWAN's gradient of radiation stress").tag(config=True) + use_mellor = Bool( + False, help="Use Mellor's formulation for radiation stress").tag(config=True) + use_roller = Bool( + False, help="Add Roller effects").tag(config=True) + use_monochromatic = Bool( + False, help="Wave conditions are monochromatic").tag(config=True) + def __init__(self, *args, **kwargs): self.tracer = OrderedDict() self.tracer_fields = OrderedDict() diff --git a/thetis/radiation_stress.py b/thetis/radiation_stress.py new file mode 100644 index 000000000..c9a9053b0 --- /dev/null +++ b/thetis/radiation_stress.py @@ -0,0 +1,301 @@ +from firedrake import * +from .utility import * +import numpy as np + +class clrtxt: + purple = '\033[95m' + cyan = '\033[96m' + darkcyan = '\033[36m' + blue = '\033[94m' + green = '\033[92m' + yellow = '\033[93m' + red = '\033[91m' + bold = '\033[1m' + underline = '\033[4m' + end = '\033[0m' + + +class WaveEffectsOnCurrents(object): + """ + Calculates the effects of waves on currents + """ + def __init__(self, mesh2d, solver_options, solver_fields): + """ + """ + self.mesh = mesh2d + self.comm = mesh2d.comm + self.options = solver_options + self.fields = solver_fields + + self.depth = DepthExpression( + self.fields.bathymetry_2d, + use_nonlinear_equations=self.options.use_nonlinear_equations, + use_wetting_and_drying=self.options.use_wetting_and_drying, + wetting_and_drying_alpha=self.options.wetting_and_drying_alpha + ) + + self.rho0 = physical_constants['rho0'] + self.g_grav = physical_constants['g_grav'] + + # Define functionspaces + self.P1_2d = get_functionspace(self.mesh, "CG", 1) + self.P1v_2d = VectorFunctionSpace(self.mesh, "CG", 1) + + + def update(self, grad_rad_stress=None, l_wave=None, dir_wave = None, + h_wave=None, qb=None, c1=1.0): + """ + Update the wave effects on currents + """ + + # If using the gradient of radiation stress as calculated by SWAN + if self.options.use_swan: + message = clrtxt.bold + clrtxt.red + "Terminating program: " +\ + clrtxt.end + "The option to use the gradient of radiation " +\ + "as calculated by SWAN for the Wave Effects On Currents " +\ + "(WEOC) hasn't been implemented yet" + raise SystemExit(message) + + # Use the Mellor (2015) formulation to calculate the gradient of radiation + # stress from waves + else: + # Update the radiation stress formulation by multiplying with the + # ramp coefficient + h_wave.dat.data[:] = h_wave.dat.data[:] * c1 + dir_wave.dat.data[:] = dir_wave.dat.data[:] * c1 + l_wave.dat.data[:] = l_wave.dat.data[:] * c1 + qb.dat.data[:] = qb.dat.data[:] * c1 + + # Multiply with coeff + self.mellor(l_wave, dir_wave, h_wave) + + # Include wave roller effects + if self.options.use_roller: + self.roller_effects(l_wave, dir_wave, h_wave, qb) + + + def swan_results(self, grad_rad_stress): + """ + Not implemented yet. The plan is to use the already calculated SWAN's + radiation stress directly and not calculate it from scratch + + Args: + grad_rad_stress: + + Returns: + """ + + + self.fields.rad_stress_2d.interpolate(Constant(1.)*grad_rad_stress) + + return + + + def mellor(self, l_wave, dir_wave, h_wave): + + """ + Use the formulation found in + Mellor, G. (2015), "A combined derivation of the integrated and \ + vertically resolved, coupled wave-current equations", Journal of \ + Physical Oceanography 45(6), 1453-1463 + $ S_{ij} = E * ( c_g/c * k_i*k_j/k^2 + \delta_ij*(c_g/c - 0.5) ) $ + where + E is the wave energy; + c_g : the group velocity; + c : the phase velocity; + k : the wavenumber; + \delta_ij : the Kronecker delta function (=1 when i=j, else =0); + i,j : the x- or y-direction; + S_ij : the vertically integrated radiation stress + to calculate the gradient of radiation stress and update the relevant + Thetis field + + Note: + It updates the self.fields.rad_stress_2d + + Args: + l_wave: Wavelength [m] + dir_wave : Wave direction [o] + h_wave : Wave height [m] + + Returns: + None + """ + # Define limiters + # Minimum wavelength [m] + l_min = Constant(1.) + # Maximum wavenumber*(total depth) + kh_max = Constant(5.) + + # Apply limiter in the wavelength + l_wave.interpolate(Max(l_wave, l_min)) + + # Calculate the wavenumber + k = Function(self.P1_2d).interpolate(Constant(2*pi)/l_wave) + + #Convert wave direction to radians + dir_wave.interpolate(dir_wave*Constant(pi/180.)) + + # Angle + theta = Function(self.P1_2d).interpolate(dir_wave) + + ## Wavenumber components + # x-component + kx = Function(self.P1_2d).interpolate(k*cos(theta)) + # y-component + ky = Function(self.P1_2d).interpolate(k*sin(theta)) + + #Calculate the wave energy + if self.options.use_monochromatic: + # From Kudale & Bhalerao (2015) : "Design wave height should be + # average of the highest 1/10 of the waves, i.e. H_(1/10), instead + # of just H while representing waves by monochromatic wave trains + # H_(1/10) = 1.27*H + energy = Function(self.P1_2d).interpolate( + Constant(1/8*1.27**2)*self.rho0*self.g_grav*h_wave**2 + ) + else: + energy = Function(self.P1_2d).interpolate( + Constant( 1 / 8 ) * self.rho0 * self.g_grav * h_wave ** 2 + ) + + # Calculate total depth + h_total = self.depth.get_total_depth(self.fields.elev_2d) + #Calculate the (wavenumber)*(total_depth) and apply limiter + kh = Function(self.P1_2d).interpolate( + Min(k*h_total+Constant(10**(-14)), kh_max) + ) + + #Calculate (group velocity)/(phase velocity) + n = Function(self.P1_2d).interpolate( + Constant(0.5)+kh/sinh(Constant(2.)*kh) + ) + + #Calculate radiation stress + sxx = Function(self.P1_2d).interpolate( + energy*(n*(kx**2/k**2+Constant(1.))-Constant(0.5)) + ) + sxy = Function(self.P1_2d).interpolate(energy*(n*(kx*ky/k**2))) + syy = Function(self.P1_2d).interpolate( + energy*(n*(ky**2/k**2+Constant(1.))-Constant(0.5)) + ) + + #Calculate gradient of radiation stress + sxx_dx = Function(self.P1_2d).interpolate(sxx.dx(0)) + syy_dy = Function(self.P1_2d).interpolate(syy.dx(1)) + sxy_dx = Function(self.P1_2d).interpolate(sxy.dx(0)) + sxy_dy = Function(self.P1_2d).interpolate(sxy.dx(1)) + + #Gradient of radiation stress components + s_x = Function(self.P1_2d).interpolate(-sxx_dx-sxy_dy) + s_y = Function(self.P1_2d).interpolate(-syy_dy-sxy_dx) + + # Update field + self.fields.rad_stress_2d.interpolate(as_vector([s_x, s_y])) + + return + + + def roller_effects(self, l_wave, dir_wave, h_wave, qb): + """ + Calculate the gradient of wave roller effects according to Svendsen \ + (1984) and Reniers & Battjes (1987): + $ R_{ij} = 2 * E_r * k_i*k_j/k^2 $ + where + $ E_r = \\rho * g * A_r * \sin{\phi} $ is the energy due to wave \ + roller interface calculate according to Duncan (1981); + $ A_r = 0.9 * H^2 $ is the roller area (Svendsen 1984); + $ \phi$ is the roller angle with $ \tan{phi} ~ 0.1 $ (Reniers & \ + Battjes 1997; Martins et al. 2018) + $ k $ is the wavenumber; + $ i, j$ are the $x-$ and $y-$direction respectively + + Note: + The self.fields.roller_2d is updated + + Args: + l_wave : Wavelength [m] + dir_wave : Wave direction [o] + h_wave : Wave height [m] + qb : Percentage of wave breking [-] + + Returns: + None + """ + # Define limiters + # Minimum wavelength [m] + l_min = Constant(1.) + # Maximum wavenumber*(total depth) + kh_max = Constant(5.) + + # Apply limiter in the wavelength + l_wave.interpolate(Max(l_wave, l_min)) + + # Calculate the wavenumber + k = Function(self.P1_2d).interpolate(Constant(2 * pi) / l_wave) + + # Convert wave direction to radians + dir_wave.interpolate(dir_wave * Constant(pi / 180.)) + + # Angle + theta = Function(self.P1_2d).interpolate(dir_wave) + + ## Wavenumber components + # x-component + kx = Function(self.P1_2d).interpolate(k * cos(theta)) + # y-component + ky = Function(self.P1_2d).interpolate(k * sin(theta)) + + # Define constants + sinb = 0.1 + + if self.options.use_monochromatic: + # Calculate roller wave area according to Svendsen 1984 (see \ + # Martins et al. 2018) + A = Function(self.P1_2d).interpolate( + Constant(0.9 * 1.27 ** 2) * h_wave ** 2 * qb) + else: + A = Function(self.P1_2d).interpolate( + Constant(0.9) * (h_wave) ** 2 * qb + ) + + # Calculate the roller wave energy + # energy = Function(self.P1_2d).interpolate(-self.g_grav*A*cp**2/l_wave) + roller_en = Function(self.P1_2d).interpolate( + -self.rho0 * self.g_grav * A * sinb + ) + # Calculate total depth + h_total = self.depth.get_total_depth(self.fields.elev_2d) + # Calculate the (wavenumber)*(total_depth) and apply limiter + kh = Function(self.P1_2d).interpolate( + Min(k * h_total + Constant(10 ** (-14)), kh_max)) + + # Calculate (group velocity)/(phase velocity) + n = Function(self.P1_2d).interpolate( + Constant(0.5) + kh / sinh(Constant(2.) * kh)) + + sxx = Function(self.P1_2d).interpolate( + Constant(2) * roller_en * kx ** 2 / k ** 2 + ) + sxy = Function(self.P1_2d).interpolate( + Constant(2) * roller_en * kx * ky / k ** 2 + ) + syy = Function(self.P1_2d).interpolate( + Constant(2) * roller_en * ky ** 2 / k ** 2 + ) + + # Calculate gradient of radiation stress + sxx_dx = Function(self.P1_2d).interpolate(sxx.dx(0)) + syy_dy = Function(self.P1_2d).interpolate(syy.dx(1)) + sxy_dx = Function(self.P1_2d).interpolate(sxy.dx(0)) + sxy_dy = Function(self.P1_2d).interpolate(sxy.dx(1)) + + # Gradient of radiation stress components + s_x = Function(self.P1_2d).interpolate(-sxx_dx - sxy_dy) + s_y = Function(self.P1_2d).interpolate(-syy_dy - sxy_dx) + + # Update field + self.fields.roller_2d.interpolate(as_vector([s_x, s_y])) + + return + diff --git a/thetis/sediment_model.py b/thetis/sediment_model.py index 02328cb1e..f74838c5f 100644 --- a/thetis/sediment_model.py +++ b/thetis/sediment_model.py @@ -1,5 +1,6 @@ from .utility import * from .log import warning +# from thetis import solver2d class CorrectiveVelocityFactor: @@ -56,7 +57,10 @@ def update(self): class SedimentModel(object): - def __init__(self, options, mesh2d, uv, elev, depth): + # def __init__(self, options, mesh2d, uv, elev, depth): + def __init__(self, options, mesh2d, uv, elev, depth, + uw=Constant(0), hs=Constant(0), wdir=Constant(0), fp=Constant(0), tm=Constant(0)): + # def __init__(self, options, mesh2d, uv, elev, depth, uw): """ Set up a full morphological model simulation based on provided velocity and elevation functions. @@ -90,6 +94,19 @@ def __init__(self, options, mesh2d, uv, elev, depth): self.use_slope_mag_correction = options.sediment_model_options.use_slope_mag_correction self.use_advective_velocity_correction = options.sediment_model_options.use_advective_velocity_correction self.use_secondary_current = options.sediment_model_options.use_secondary_current + # seime. use this option to activate wave action on sediment transport + self.use_wave_forcing = options.sediment_model_options.wave_forcing + self.use_vanRijn_2007_bedload = options.sediment_model_options.van_Rijn_bedload + + self.uw = uw # near-bed wave-orbital velocity magnitude [m/s] + self.fp = fp # peak wave frequency [s-1] + self.tm = tm # mean wave period [s] + self.wdir = wdir # wave direction [deg] + self.hs = hs # significant wave height [m] + # bedload transport constants, Van Rijn, 2007 + self.eta = Constant(1.0) + self.gamma = Constant(0.5) + self.d_sand = Constant(0.000062) self.mesh2d = mesh2d @@ -119,6 +136,9 @@ def __init__(self, options, mesh2d, uv, elev, depth): kappa = physical_constants['von_karman'] ksp = Function(self.P1_2d).interpolate(3*self.average_size) + + # seime.temp.TidalInlet set-up + # ksp = Function(self.P1_2d).interpolate(Constant(0.0015)) self.a = Function(self.P1_2d).interpolate(self.bed_reference_height/2) if self.options.sediment_model_options.morphological_viscosity is None: @@ -137,12 +157,12 @@ def __init__(self, options, mesh2d, uv, elev, depth): self.R = self.rhos/self.rhow - Constant(1) self.dstar = Function(self.P1_2d).interpolate(self.average_size*((self.g*self.R)/(self.viscosity**2))**(1/3)) - if float(max(self.dstar.dat.data[:])) < 1: - raise ValueError('dstar value less than 1') + # if float(max(self.dstar.dat.data[:])) < 1: + # raise ValueError('dstar value less than 1') self.thetacr = Function(self.P1_2d).interpolate(conditional(self.dstar < 4, 0.24*(self.dstar**(-1)), conditional(self.dstar < 10, 0.14*(self.dstar**(-0.64)), conditional(self.dstar < 20, 0.04*(self.dstar**(-0.1)), - conditional(self.dstar < 150, 0.013*(self.dstar**(0.29)), 0.055))))) + conditional(self.dstar < 150, 0.013*(self.dstar**(0.29)), 0.055))))) # critical bed shear stress self.taucr = Function(self.P1_2d).interpolate((self.rhos-self.rhow)*self.g*self.average_size*self.thetacr) @@ -154,6 +174,9 @@ def __init__(self, options, mesh2d, uv, elev, depth): * (sqrt(1 + 0.01*((self.R*self.g*(self.average_size**3)) / (self.viscosity**2)))-1), 1.1*sqrt(self.g*self.average_size*self.R)))) + # # seime.TidalInlet fixed settling velocity: + # self.settling_velocity = Function(self.P1_2d).interpolate(Constant(0.011)) + # first step: project velocity to CG self.uv_cg = Function(self.P1v_2d).project(self.uv) self.old_bathymetry_2d = Function(self.P1_2d).interpolate(self.depth.bathymetry_2d) @@ -174,15 +197,49 @@ def __init__(self, options, mesh2d, uv, elev, depth): self.mu = conditional(self.qfc > Constant(0), cfactor/self.qfc, Constant(0)) # calculate bed shear stress + + # 1. calculate shear velocity due to currents self.unorm = (self.u**2) + (self.v**2) + ustar_c_norm = Constant(0.5)*self.qfc*self.unorm + ustar_c = sqrt(ustar_c_norm) + + # 2. calculate shear velocity due to waves + if self.use_wave_forcing: + ustar_w_norm = Constant(0.5)*self.qfc*self.uw + ustar_w = sqrt(ustar_w_norm) + # # Angle between waves and currents + # current_dir_rad = atan2(self.v, self.u) + # wave_dir_rad = self.wdir * pi / 180.0 + # phase_shift = wave_dir_rad - current_dir_rad + + # Compute angle between waves and currents (converted to radians) + CDIR = atan2(self.v, self.u)*180.0/pi + WDIR = (90.0 - self.wdir) # convert from meteo format (0deg North) to math system (0deg East) + # WDIR = self.wdir + # smallest angular difference in degrees + diff = abs(CDIR - WDIR) + diff = min_value(diff, + min_value(abs(180.0 - diff), + 360.0 - diff)) + phase_shift = diff * pi/180.0 + # the wave source file has weird wave direction pattern + # so not using it for now. -> perhaps specify as option for sediments? + # ustar_wc_norm = ustar_c**2 + ustar_w**2 + 2.*ustar_c*ustar_w * cos(phase_shift) + + ustar_wc_norm = ustar_c**2 + ustar_w**2 + ustar = sqrt(ustar_wc_norm) + else: + ustar = ustar_c - self.bed_stress = Function(self.P1_2d).interpolate(self.rhow*Constant(0.5)*self.qfc*self.unorm) + # 3. calculate shear velocity + self.ustar = ustar + self.bed_stress = Function(self.P1_2d).interpolate(self.rhow * self.ustar**2) if self.solve_suspended_sediment: # deposition flux - calculating coefficient to account for stronger conc at bed self.B = conditional(self.a > self.depth_tot, Constant(1.0), self.a/self.depth_tot) - ustar = sqrt(Constant(0.5)*self.qfc*self.unorm) - self.rouse_number = (self.settling_velocity/(kappa*ustar)) - Constant(1) + + self.rouse_number = (self.settling_velocity/(kappa*self.ustar)) - Constant(1) self.intermediate_step = conditional(abs(self.rouse_number) > Constant(1e-04), self.B*(Constant(1)-self.B**min_value(self.rouse_number, Constant(3)))/min_value(self.rouse_number, @@ -191,9 +248,9 @@ def __init__(self, options, mesh2d, uv, elev, depth): self.integrated_rouse = max_value(conditional(self.intermediate_step > Constant(1e-12), Constant(1)/self.intermediate_step, Constant(1e12)), Constant(1)) - # erosion flux - above critical velocity bed is eroded - self.transport_stage_param = conditional(self.rhow*Constant(0.5)*self.qfc*self.unorm*self.mu > Constant(0), - (self.rhow*Constant(0.5)*self.qfc*self.unorm*self.mu - self.taucr)/self.taucr, + # erosion flux - above critical velocity bed is eroded\ + self.transport_stage_param = conditional(self.rhow * self.ustar**2 * self.mu > Constant(0), + (self.rhow * self.ustar**2 * self.mu - self.taucr)/self.taucr, Constant(-1)) self.erosion_concentration = Function(self.P1DG_2d).project(Constant(0.015)*(self.average_size/self.a) @@ -202,7 +259,7 @@ def __init__(self, options, mesh2d, uv, elev, depth): if self.use_advective_velocity_correction: self.correction_factor_model = CorrectiveVelocityFactor(self.depth_tot, ksp, - self.settling_velocity, ustar, self.a) + self.settling_velocity, self.ustar, self.a) self.velocity_correction_factor = self.correction_factor_model.velocity_correction_factor self.equilibrium_tracer = Function(self.P1DG_2d).interpolate(self.erosion_concentration/self.integrated_rouse) @@ -212,12 +269,12 @@ def __init__(self, options, mesh2d, uv, elev, depth): if self.use_bedload: # calculate angle of flow - self.calfa = Function(self.P1_2d).interpolate(self.uv_cg[0]/sqrt(self.unorm)) + self.calfa = Function(self.P1_2d).interpolate(self.uv_cg[0]/sqrt(self.unorm)) #seime. consider waves dir and vel here self.salfa = Function(self.P1_2d).interpolate(self.uv_cg[1]/sqrt(self.unorm)) if self.use_angle_correction: # slope effect angle correction due to gravity - self.stress = Function(self.P1DG_2d).interpolate(self.rhow*Constant(0.5)*self.qfc*self.unorm) + self.stress = Function(self.P1DG_2d).interpolate(self.rhow * self.ustar**2) def get_bedload_term(self, bathymetry): """ @@ -255,7 +312,7 @@ def get_bedload_term(self, bathymetry): calfamod = (self.calfa + (tt1*bathymetry.dx(0)))/angle_norm salfamod = (self.salfa + (tt1*bathymetry.dx(1)))/angle_norm - if self.use_secondary_current: + if self.use_secondary_current: # seime. no waves effects here either # accounts for helical flow effect in a curver channel # use z_n1 and equals so can use an implicit method in Exner free_surface_dx = self.depth_tot.dx(0) - bathymetry.dx(0) @@ -285,7 +342,7 @@ def get_bedload_term(self, bathymetry): salfanew = t_2/t4 # implement meyer-peter-muller bedload transport formula - thetaprime = self.mu*(self.rhow*Constant(0.5)*self.qfc*self.unorm)/((self.rhos-self.rhow)*self.g*self.average_size) + thetaprime = self.mu*(self.rhow * self.ustar**2)/((self.rhos-self.rhow)*self.g*self.average_size) # if velocity above a certain critical value then transport occurs phi = conditional(thetaprime < self.thetacr, Constant(0), Constant(8)*(thetaprime-self.thetacr)**1.5) @@ -296,6 +353,10 @@ def get_bedload_term(self, bathymetry): else: qb_total = slopecoef*phi*sqrt(self.g*self.R*self.average_size**3) + if (self.use_vanRijn_2007_bedload): + tauprime = self.rhow * self.ustar**2 + qb_total = self.gamma * self.d_sand * self.dstar**(-0.3) * sqrt(tauprime/self.rhow) * ( (tauprime - self.taucr) / self.taucr )**self.eta + # formulate bedload transport flux with correct angle depending on corrections implemented if self.use_angle_correction and self.use_secondary_current is False: qbx = qb_total*calfamod diff --git a/thetis/shallowwater_eq.py b/thetis/shallowwater_eq.py index 0925ec083..5be8dd9ce 100644 --- a/thetis/shallowwater_eq.py +++ b/thetis/shallowwater_eq.py @@ -197,6 +197,8 @@ 'MomentumSourceTerm', 'WindStressTerm', 'AtmosphericPressureTerm', + 'GradRadStressTerm', + 'WaveRollerTerm', ] g_grav = physical_constants['g_grav'] @@ -649,6 +651,39 @@ def residual(self, uv, eta, uv_old, eta_old, fields, fields_old, bnd_conditions) return f +class GradRadStressTerm(ShallowWaterMomentumTerm): + r""" + Wind stress term, :math:`-\tau_w/(H \rho_0)` + + Here :math:`\tau_w` is a user-defined wind stress :class:`Function`. + """ + def residual(self, uv, eta, uv_old, eta_old, fields, fields_old, bnd_conditions=None): + grad_rad_stress = fields_old.get('rad_stress_2d') + P1_2d = get_functionspace(self.mesh, "CG", 1) + eta0 = Function(P1_2d).assign(Constant(0.)) + total_h = self.depth.get_total_depth(eta_old) + f = 0 + if grad_rad_stress is not None: + f += dot(grad_rad_stress, self.u_test)/total_h/rho_0*self.dx + return f + +class WaveRollerTerm(ShallowWaterMomentumTerm): + r""" + Wind stress term, :math:`-\tau_w/(H \rho_0)` + + Here :math:`\tau_w` is a user-defined wind stress :class:`Function`. + """ + def residual(self, uv, eta, uv_old, eta_old, fields, fields_old, bnd_conditions=None): + roller_stress = fields_old.get('roller_2d') + P1_2d = get_functionspace(self.mesh, "CG", 1) + eta0 = Function(P1_2d).assign(Constant(0.)) + total_h = self.depth.get_total_depth(eta_old) + f = 0 + if roller_stress is not None: + f += dot(roller_stress, self.u_test)/total_h/rho_0*self.dx + return f + + class AtmosphericPressureTerm(ShallowWaterMomentumTerm): r""" Atmospheric pressure term, :math:`\nabla (p_a / \rho_0)` @@ -878,6 +913,8 @@ def add_momentum_terms(self, *args, tidal_farms=None): self.add_term(MomentumSourceTerm(*args), 'source') if tidal_farms: self.add_term(TurbineDragTerm(*args, tidal_farms), 'implicit') + self.add_term(GradRadStressTerm(*args), 'source') + self.add_term(WaveRollerTerm(*args), 'source') def add_continuity_terms(self, *args): self.add_term(HUDivTerm(*args), 'implicit') diff --git a/thetis/solver2d.py b/thetis/solver2d.py index 017b4335c..4bcd20f92 100644 --- a/thetis/solver2d.py +++ b/thetis/solver2d.py @@ -405,7 +405,18 @@ def create_fields(self): use_nonlinear_equations=self.options.use_nonlinear_equations, use_wetting_and_drying=self.options.use_wetting_and_drying, wetting_and_drying_alpha=self.options.wetting_and_drying_alpha) - + self.fields.rad_stress_2d = Function(self.function_spaces.P1v_2d, + name='rad_stress_2d') + self.fields.roller_2d = Function(self.function_spaces.P1v_2d, + name='roller_2d') + + self.fields.wave_height_2d = Function(self.function_spaces.P1_2d,name='wave_height_2d') + self.fields.wave_peak_freq_2d = Function(self.function_spaces.P1_2d,name='wave_peak_freq_2d') + self.fields.wave_dir_2d = Function(self.function_spaces.P1_2d,name='wave_dir_2d') + self.fields.wave_orbital_vel_2d = Function(self.function_spaces.P1_2d,name='wave_orbital_vel_2d') + self.fields.wave_mean_period_2d = Function(self.function_spaces.P1_2d,name='wave_mean_period_2d') + + # Add fields for shallow water modelling self.fields.solution_2d = Function(self.function_spaces.V_2d, name='solution_2d') uv_2d, elev_2d = self.fields.solution_2d.subfunctions # correct treatment of the split 2d functions @@ -507,8 +518,16 @@ def create_equations(self): sediment_options = self.options.sediment_model_options if sediment_options.solve_suspended_sediment or sediment_options.solve_exner: sediment_model_class = self.options.sediment_model_options.sediment_model_class + #seime.passing new fields into sediment model object self.sediment_model = sediment_model_class( - self.options, self.mesh2d, uv_2d, elev_2d, self.depth) + self.options, self.mesh2d, uv_2d, elev_2d, self.depth, + self.fields.wave_orbital_vel_2d, + self.fields.wave_height_2d, + self.fields.wave_dir_2d, + self.fields.wave_peak_freq_2d, + self.fields.wave_mean_period_2d + ) + if sediment_options.solve_suspended_sediment: self.equations.sediment = sediment_eq_2d.SedimentEquation2D( self.function_spaces.Q_2d, self.depth, self.options, self.sediment_model, @@ -555,6 +574,14 @@ def get_swe_timestepper(self, integrator): 'atmospheric_pressure': self.options.atmospheric_pressure, 'momentum_source': self.options.momentum_source_2d, 'volume_source': self.options.volume_source_2d, + 'rad_stress_2d' : self.fields.rad_stress_2d, + "roller_2d" : self.fields.roller_2d, + "wave_height_2d": self.fields.wave_height_2d, + "wave_peak_freq_2d": self.fields.wave_peak_freq_2d, + "wave_dir_2d": self.fields.wave_dir_2d, + "wave_orbital_vel_2d": self.fields.wave_orbital_vel_2d, + "wave_mean_period_2d": self.fields.wave_mean_period_2d + } bnd_conditions = self.bnd_functions['shallow_water'] if self.options.swe_timestepper_type == 'PressureProjectionPicard': @@ -564,6 +591,7 @@ def get_swe_timestepper(self, integrator): self.depth, options=self.options, tidal_farms=self.tidal_farms + ) self.equations.mom.bnd_functions = bnd_conditions return integrator(self.equations.sw, self.equations.mom, self.fields.solution_2d, @@ -1103,3 +1131,142 @@ def create_iterator(self, update_forcings=None, export_func=None): export_func() return self.simulation_time + + + @PETSc.Log.EventDecorator("thetis.FlowSolver2d.iterate_coupled") + def iterate_coupled(self, update_forcings=None, + export_func=None): + """ + Runs the simulation + + Iterates over the time loop until time ``options.simulation_end_time`` is reached. + Exports fields to disk on ``options.simulation_export_time`` intervals. + + :kwarg update_forcings: User-defined function that takes simulation + time as an argument and updates time-dependent boundary conditions + (if any). + :kwarg export_func: User-defined function (with no arguments) that will + be called on every export. + """ + # if not self._initialized: + # self.initialize() + + self.options.use_limiter_for_tracers &= self.options.polynomial_degree > 0 + + t_epsilon = 1.0e-5 + cputimestamp = time_mod.perf_counter() + next_export_t = (self.simulation_time//self.options.simulation_export_time + 1) * self.options.simulation_export_time + + initial_simulation_time = self.simulation_time + internal_iteration = 0 + + while self.simulation_time <= self.options.simulation_end_time - t_epsilon: + self.timestepper.advance(self.simulation_time, update_forcings) + + # Move to next time step + self.iteration += 1 + internal_iteration += 1 + self.simulation_time = initial_simulation_time + internal_iteration * self.dt + + self.callbacks.evaluate(mode='timestep') + + # Write the solution to file + if self.simulation_time >= next_export_t - t_epsilon: + self.i_export += 1 + next_export_t += self.options.simulation_export_time + + cputime = time_mod.perf_counter() - cputimestamp + cputimestamp = time_mod.perf_counter() + self.print_state(cputime) + + self.export() + if export_func is not None: + export_func() + + + @PETSc.Log.EventDecorator("thetis.FlowSolver2d.t0_coupled") + def t0_coupled(self, + export_func=None): + """ + Runs the simulation + + Iterates over the time loop until time ``options.simulation_end_time`` is reached. + Exports fields to disk on ``options.simulation_export_time`` intervals. + + :kwarg update_forcings: User-defined function that takes simulation + time as an argument and updates time-dependent boundary conditions + (if any). + :kwarg export_func: User-defined function (with no arguments) that will + be called on every export. + """ + # TODO I think export function is obsolete as callbacks are in place + if not self._initialized: + self.initialize() + + self.options.use_limiter_for_tracers &= self.options.polynomial_degree > 0 + + t_epsilon = 1.0e-5 + cputimestamp = time_mod.perf_counter() + next_export_t = (self.simulation_time // self.options.simulation_export_time + 1) * self.options.simulation_export_time + + dump_hdf5 = self.options.export_diagnostics and not self.options.no_exports + if self.options.check_volume_conservation_2d: + c = callback.VolumeConservation2DCallback(self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + self.add_callback(c) + + if self.options.check_tracer_conservation: + for label, tracer in self.options.tracer.items(): + if tracer.use_conservative_form: + c = callback.ConservativeTracerMassConservation2DCallback( + label, + self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + else: + c = callback.TracerMassConservation2DCallback(label, + self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + self.add_callback(c, eval_interval='export') + if self.options.sediment_model_options.check_sediment_conservation: + if self.options.sediment_model_options.use_sediment_conservative_form: + c = callback.ConservativeTracerMassConservation2DCallback( + 'sediment_2d', + self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + else: + c = callback.TracerMassConservation2DCallback('sediment_2d', + self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + self.add_callback(c, eval_interval='export') + + if self.options.check_tracer_overshoot: + for label in self.options.tracer: + c = callback.TracerOvershootCallBack(label, + self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + self.add_callback(c, eval_interval='export') + if self.options.sediment_model_options.check_sediment_overshoot: + c = callback.TracerOvershootCallBack('sediment_2d', + self, + export_to_hdf5=dump_hdf5, + append_to_log=True) + self.add_callback(c, eval_interval='export') + + initial_simulation_time = self.simulation_time + internal_iteration = 0 + + # Initial export + self.print_state(0.0, print_header=True) + self.callbacks.evaluate(mode='timestep') + if self.export_initial_state: + self.export() + if export_func is not None: + export_func() + if 'vtk' in self.exporters and isinstance(self.fields.bathymetry_2d, Function): + self.exporters['vtk'].export_bathymetry(self.fields.bathymetry_2d) From 442df59dc548673b2631afe83fc9b15ece906ded Mon Sep 17 00:00:00 2001 From: seimurs Date: Mon, 4 Aug 2025 16:02:56 +0100 Subject: [PATCH 2/6] aligned with thetisproject and added a hard copy of an inlet.py instead of a soft linke. removed comments from unnecessary sediment_model.py --- examples/tidalInlet/inlet.py | 347 +++++++++++++++++++++++++++- examples/tidalInlet/plot_results.py | 0 thetis/coupled_timeintegrator_2d.py | 5 +- thetis/sediment_model.py | 8 +- 4 files changed, 349 insertions(+), 11 deletions(-) mode change 120000 => 100755 examples/tidalInlet/inlet.py mode change 100644 => 100755 examples/tidalInlet/plot_results.py diff --git a/examples/tidalInlet/inlet.py b/examples/tidalInlet/inlet.py deleted file mode 120000 index f7ddd95a6..000000000 --- a/examples/tidalInlet/inlet.py +++ /dev/null @@ -1 +0,0 @@ -/Users/sshirinov/Library/CloudStorage/OneDrive-AlmaMaterStudiorumUniversitàdiBologna/mac/cmcc/shyfem/cases/inlet/thetis/inlet.py \ No newline at end of file diff --git a/examples/tidalInlet/inlet.py b/examples/tidalInlet/inlet.py new file mode 100755 index 000000000..de25c0b35 --- /dev/null +++ b/examples/tidalInlet/inlet.py @@ -0,0 +1,346 @@ +""" +Tidal Inlet +======================= +Simulates the tidal inlet test case from Warner et al. (2008). + +author: Seimur Shirinov +date: June 2025 +""" + +from thetis import * + +import meshio +import numpy as np +from scipy.spatial import cKDTree +import os, sys +import xarray as xr + +# Setup zones +sim_tz = timezone.pytz.utc +coord_system = coordsys.UTMCoordinateSystem(utm_zone=30) + + +op2.init(log_level=INFO) + +# turn OFF reverse Cuthill-McKee reordering to optimize mesh inside Firedrake +# parameters["reorder_meshes"] = False + + +# FUNCTIONS: +def interpolate_at_dt(wavefield, time_array, dt_seconds): + """ + linearly interpolates wave fields to a time step given in seconds + + params: + - wavefield: np.ndarray of shape (n_times, n_nodes) + - time_array: xarray DataArray or np.ndarray of datetime64[ns], shape (n_times,) + - dt_seconds: float, seconds from the first time step (beginning of the simulation) + output: + - wavefield_interp: np.ndarray of shape (n_nodes,) representing interpolated values + """ + + # Convert datetime64[ns] to seconds since the first timestamp + time_seconds = (time_array - time_array[0]) / np.timedelta64(1, 's') + time_seconds = np.asarray(time_seconds) + + # Check if dt matches an existing time exactly + if dt_seconds in time_seconds: + idx = np.where(time_seconds == dt_seconds)[0][0] + return wavefield[idx] + + # otherwise find bounding indices for interpolation + if dt_seconds < time_seconds[0] or dt_seconds > time_seconds[-1]: + raise ValueError("dt is outside the time range of the dataset.") + + idx_before = np.searchsorted(time_seconds, dt_seconds) - 1 + idx_after = idx_before + 1 + + t0 = time_seconds[idx_before] + t1 = time_seconds[idx_after] + w = (dt_seconds - t0) / (t1 - t0) + + # interpolation + wavefield_interp = (1 - w) * wavefield[idx_before] + w * wavefield[idx_after] + return wavefield_interp + + +# MESH +# --------------------------------------------- +# bathymetry data (.msh format): +bathymetry_data='tidalInlet_bathymetry_data.msh' +# mesh with physical groups: +mesh2dfile='tidalinlet.msh' +mesh2d = Mesh(mesh2dfile) + +# define function spaces +# P1_2d = FunctionSpace(mesh2d, 'CG', 1) +P1_2d = FunctionSpace(mesh2d, 'CG', 1) +vectorP1_2d = VectorFunctionSpace(mesh2d, 'DG', 1) + + +# BATHYMETRY +# --------------------------------------------- +# define function space for bathymetry - wrapps P1_2d object +bathymetry_2d = Function(P1_2d, name='Bathymetry') +# bathymetric data at nodes from the mesh itself - added in pre-processing already +mesh = meshio.read(bathymetry_data) +# node coordinates +points = mesh.points # shape: (num_nodes, 3) + +# RE-ALIGN bathymetry with mesh +# --------------------------------------------- +# Given that the mesh verticies numbering gets shaffled by Mesh(), we need to re-align the bathymetry +# using kdtree find nearest neighbors from coords to points and thus re-align them: +tree = cKDTree(points[:, :2]) +distances, indices = tree.query(mesh2d.coordinates.dat.data, k=1) + +# final bathymetry +bathymetry_2d.dat.data[:] = points[indices, 2] + + + +# Wave Fields +# --------------------------------------------- +ww3waves = '/Users/sshirinov/mac/cmcc/shyfem/cases/inlet/tideinlet3/ww3waves.nc' +ds = xr.open_dataset(ww3waves) + +# Extract coordinates and variables +x_nc = ds['x'].values # shape: (node,) +y_nc = ds['y'].values +coords_nc = np.column_stack((x_nc, y_nc)) +sxx = ds['sxx'].values # shape: (time, node) +syy = ds['syy'].values +sxy = ds['sxy'].values +hs_w = ds['hs'].values +dir_w = ds['dir'].values +p_m = ds['t01'].values +f_p = ds['fp'].values +uubr = ds['uubr'].values +vubr = ds['vubr'].values + +mesh_rad = meshio.read(mesh2dfile) + +# Get mesh points and connectivity +points_mesh = mesh_rad.points[:, :2] # only x and y +cells = mesh_rad.cells_dict.get("triangle") +if cells is None: + raise ValueError("Expected triangular mesh cells") + +# match NetCDF nodes to mesh nodes +# using KDTree to find closest matching node +tree = cKDTree(coords_nc) +_, idx_match = tree.query(mesh2d.coordinates.dat.data, k=1) + +# reorder stress fields to match mesh node order +sxx_aligned = sxx[:, idx_match] +syy_aligned = syy[:, idx_match] +sxy_aligned = sxy[:, idx_match] +# similarly with other fields: +hs_w_aligned = hs_w [:,idx_match] +dir_w_aligned = dir_w[:,idx_match] +p_m_aligned = p_m [:,idx_match] +f_p_aligned = f_p [:,idx_match] +uubr_aligned = uubr [:,idx_match] +vubr_aligned = vubr [:,idx_match] +u_mag_aligned = np.sqrt(uubr_aligned**2 + vubr_aligned**2) + +# Create functions for radiation stresses and wave parameters: +rad_stress_2d = Function(vectorP1_2d, name='rad_stress_2d') +wave_height_2d = Function(P1_2d, name = 'wave_height_2d') +wave_peak_freq_2d = Function(P1_2d, name = 'wave_peak_freq_2d') +wave_dir_2d = Function(P1_2d, name = 'wave_dir_2d') +wave_orbital_vel_2d = Function(P1_2d, name = 'wave_orbital_vel_2d') +wave_mean_period_2d = Function(P1_2d, name = 'wave_mean_period_2d') + +# def update_wave_forcing(t_new,rad_stress_2d,P1_2d,vectorP1_2d,solver_obj): +def update_wave_forcing(t_new,P1_2d,solver_obj): + + # # Interpolate + solver_obj.fields.wave_height_2d.dat.data[:] = interpolate_at_dt(hs_w_aligned, ds.time, t_new) + solver_obj.fields.wave_peak_freq_2d.dat.data[:] = interpolate_at_dt(f_p_aligned, ds.time, t_new) + solver_obj.fields.wave_dir_2d.dat.data[:] = interpolate_at_dt(dir_w_aligned, ds.time, t_new) + solver_obj.fields.wave_orbital_vel_2d.dat.data[:] = interpolate_at_dt(u_mag_aligned, ds.time, t_new) + solver_obj.fields.wave_mean_period_2d.dat.data[:] = interpolate_at_dt(p_m_aligned, ds.time, t_new) + + sxx_int = Function(P1_2d, name="sxx_int") + sxy_int = Function(P1_2d, name="sxy_int") + syy_int = Function(P1_2d, name="syy_int") + + sxx_int.dat.data[:] = interpolate_at_dt(sxx_aligned, ds.time, t_new) + sxy_int.dat.data[:] = interpolate_at_dt(sxy_aligned, ds.time, t_new) + syy_int.dat.data[:] = interpolate_at_dt(syy_aligned, ds.time, t_new) + + sxx_dx = Function(P1_2d).interpolate(sxx_int.dx(0)) + syy_dy = Function(P1_2d).interpolate(syy_int.dx(1)) + sxy_dx = Function(P1_2d).interpolate(sxy_int.dx(0)) + sxy_dy = Function(P1_2d).interpolate(sxy_int.dx(1)) + + s_x = Function(P1_2d).interpolate(-sxx_dx - sxy_dy) + s_y = Function(P1_2d).interpolate(-syy_dy - sxy_dx) + + solver_obj.fields.rad_stress_2d.interpolate(as_vector([s_x, s_y])) + + # return rad_stress_2d + return + + +# TIMING +# --------------------------------------------- +# Simulation window: +timestep = 60. # -> time-stepping (if not adaptive) +t_end = 3600 * 49 # -> total run time in sec.: 2 days + 1h +# t_export = 3600.0 # -> export interval in sec. +t_export = 1800.0 # -> export interval in sec. + + +# set-up tides: +# tidal_amplitude = 0.1 +tidal_amplitude = 1.0 +tidal_period = 43200 # 12 hours + +# Copied from other test cases, perhaps not needed here +if os.getenv('THETIS_REGRESSION_TEST') is not None: + # when run as a pytest test, only run 5 timesteps + # and test the gradient + t_end = 5*timestep + test_gradient = True # test gradient using Taylor test (see below) + optimise = False # skip actual gradient based optimisation +else: + test_gradient = False + optimise = True + +print(t_end) + + +# Solver +# --------------------------------------------- +# outputdir = 'outputs_hydro' +outputdir = 'outputs_sed' + +temp_const = 18.0 +salt_ocean = 35.0 +viscosity_hydro = Constant(5*10**(-2)) +# average_size = 2 * 10**(-4) +average_size = 1 * 10**(-4) +ksp = Constant(3*average_size) + + +# # define solver object, passing a mesh and a bathymetry +solver_obj = solver2d.FlowSolver2d(mesh2d, bathymetry_2d) + +options = solver_obj.options +options.output_directory = outputdir +options.simulation_export_time = t_export +options.simulation_end_time = t_end +# options.cfl_2d = Constant(0.8) +options.swe_timestepper_type = 'CrankNicolson' # stable +# options.swe_timestepper_type = 'ForwardEuler' # -> unstable # BackwardEuler - stable +options.check_volume_conservation_2d = True +options.element_family = 'dg-dg' # the stable element family for this test case +# options.element_family = 'rt-dg' # worked too +options.swe_timestepper_options.implicitness_theta = 0.5 +options.swe_timestepper_options.use_semi_implicit_linearization = True +options.fields_to_export = ['uv_2d', 'elev_2d', 'bathymetry_2d','sediment_2d', + 'rad_stress_2d','wave_height_2d','wave_orbital_vel_2d', + 'wave_dir_2d'] # +options.timestep = timestep + + +# Chose only one of the following friction formulations: +# --------------------------------------------- +# # Manning drag coeff: +# manning_2d = Function(P1_2d, name="Manning coefficient") +# manning_2d.assign(5.0e-03) +# options.manning_drag_coefficient = manning_2d + +# # Linear drag coeff: +# options.linear_drag_coefficient = Constant(0.003) +# options.nikuradse_bed_roughness = Constant(ksp) + +# Using quadratic drag coefficient: +quadratic_drag = Function(P1_2d, name="Quadratic drag coefficient") +quadratic_drag.assign(2.5e-03) +options.quadratic_drag_coefficient = quadratic_drag + +# horiz viscosity: +options.horizontal_viscosity = Constant(0.002) +# Wave terms: +options.wave_curr_inter = True + + +# Sediments +# ------------- +# below two options activate wave forcing and the use of van Rijn intra-wave bedload transport formulation +options.sediment_model_options.van_Rijn_bedload = True +options.sediment_model_options.wave_forcing = True +options.sediment_model_options.solve_suspended_sediment = True +options.sediment_model_options.use_bedload = True +options.sediment_model_options.solve_exner = True +options.sediment_model_options.use_angle_correction = True +options.sediment_model_options.use_slope_mag_correction = True +options.sediment_model_options.use_secondary_current = True +# if solve_suspended_sediment is True then correction should be true and backwards +options.sediment_model_options.use_advective_velocity_correction = True # if false leads to Nonetype * Function -> error +options.sediment_model_options.morphological_viscosity = Constant(1e-6) +options.sediment_model_options.average_sediment_size = Constant(average_size) +options.sediment_model_options.bed_reference_height = Constant(0.03) +options.sediment_model_options.morphological_acceleration_factor = Constant(1.0) +options.sediment_model_options.horizontal_diffusivity = Constant(0.002) #< - just like in shyfem + + +# Tidal forcing +# --------------------------------------------- +# tidal_amplitude = 0.5 # meters +tidal_amplitude = 1.0 # meters !! as in the paper ! +tidal_period = 43200 # seconds (12 hours) +phase_seconds = 10800 # seconds +ramp_duration = phase_seconds +ramp_duration = 4 * 3600 # delay in tidal evolution time +# phase_radians = (2 * np.pi / tidal_period) * phase_seconds +phase_radians = (2 * pi / tidal_period) * phase_seconds +t = np.linspace(0, t_end, int(timestep)) # seconds +tidal_elev = Constant(0.0) + + +# Forcing fields at each time step +# --------------------------------------------- +def update_forcings(t_new,): + # print(f" updating forcing at t: {t_new}") + # no ramp-up: + # tidal_elev.assign(tidal_amplitude * sin((2 * pi / tidal_period) * (t_new + phase_seconds))) + # with ramp-up: + tidal_elev.assign(tanh(t_new / ramp_duration) * sin(2*pi/tidal_period * (t_new + phase_seconds)) * tidal_amplitude) + + # update wave forcing: + update_wave_forcing(t_new,P1_2d,solver_obj) + + +# Define the boundary conditions for the SWE +# --------------------------------------------- +# boundary condtitions are defined for each external boundary using their ID. +# Ids taken as physical groups from mesh - predefined +openboundary = 2 +coastline = 3 +domain_surf = 1 +swe_bnd = {} +ocean_salt = Constant(salt_ocean) +bnd_ocean_salt = {'value': ocean_salt} +solver_obj.bnd_functions['salt'] = {domain_surf: bnd_ocean_salt, coastline: bnd_ocean_salt, openboundary: bnd_ocean_salt} + + +freeslip_bc = {'un': Constant(0.0)} +swe_bnd[coastline] = freeslip_bc # this works-> imposes constant norm vel all along the coastline (free slip condition) +# swe_bnd[domain_surf] = freeslip_bc +# swe_bnd[openboundary] = freeslip_bc + +swe_bnd[openboundary] = {'flux': Constant(0.0), 'elev': tidal_elev} + +# BCs are now complete: +solver_obj.bnd_functions['shallow_water'] = swe_bnd + +elev_init = Function(P1_2d) +elev_init.assign(0.0) +solver_obj.assign_initial_conditions(elev=elev_init, uv=as_vector((1e-5, 0.0))) +solver_obj.iterate(update_forcings=update_forcings) + + diff --git a/examples/tidalInlet/plot_results.py b/examples/tidalInlet/plot_results.py old mode 100644 new mode 100755 diff --git a/thetis/coupled_timeintegrator_2d.py b/thetis/coupled_timeintegrator_2d.py index 518bde275..a5f10e0a0 100644 --- a/thetis/coupled_timeintegrator_2d.py +++ b/thetis/coupled_timeintegrator_2d.py @@ -199,11 +199,12 @@ def initialize(self, solution2d): self.timesteppers.swe2d.initialize(self.fields.solution_2d) if self.nh_options.update_free_surface: self.timesteppers.fs2d.initialize(self.fields.elev_2d) - self.elev_old.assign(self.fields.elev_2d) @PETSc.Log.EventDecorator("thetis.NonHydrostaticTimeIntegrator2D.advance") def advance(self, t, update_forcings=None): """Advances equations for one time step.""" + if self.nh_options.update_free_surface: + self.elev_old.assign(self.fields.elev_2d) if self.serial_advancing: # --- advance in serial --- self.timesteppers.swe2d.advance(t, update_forcings=update_forcings) @@ -213,7 +214,6 @@ def advance(self, t, update_forcings=None): if self.nh_options.update_free_surface: self.fields.elev_2d.assign(self.elev_old) self.timesteppers.fs2d.advance(t, update_forcings=update_forcings) - self.elev_old.assign(self.fields.elev_2d) # update old solution if self.options.swe_timestepper_type == 'SSPIMEX': self.timesteppers.swe2d.erk.solution_old.assign(self.fields.solution_2d) @@ -234,4 +234,3 @@ def advance(self, t, update_forcings=None): elif last_stage: self.fields.elev_2d.assign(self.elev_old) self.timesteppers.fs2d.advance(t, update_forcings=update_forcings) - self.elev_old.assign(self.fields.elev_2d) diff --git a/thetis/sediment_model.py b/thetis/sediment_model.py index f74838c5f..897a17d3e 100644 --- a/thetis/sediment_model.py +++ b/thetis/sediment_model.py @@ -1,6 +1,5 @@ from .utility import * from .log import warning -# from thetis import solver2d class CorrectiveVelocityFactor: @@ -137,8 +136,6 @@ def __init__(self, options, mesh2d, uv, elev, depth, ksp = Function(self.P1_2d).interpolate(3*self.average_size) - # seime.temp.TidalInlet set-up - # ksp = Function(self.P1_2d).interpolate(Constant(0.0015)) self.a = Function(self.P1_2d).interpolate(self.bed_reference_height/2) if self.options.sediment_model_options.morphological_viscosity is None: @@ -174,9 +171,6 @@ def __init__(self, options, mesh2d, uv, elev, depth, * (sqrt(1 + 0.01*((self.R*self.g*(self.average_size**3)) / (self.viscosity**2)))-1), 1.1*sqrt(self.g*self.average_size*self.R)))) - # # seime.TidalInlet fixed settling velocity: - # self.settling_velocity = Function(self.P1_2d).interpolate(Constant(0.011)) - # first step: project velocity to CG self.uv_cg = Function(self.P1v_2d).project(self.uv) self.old_bathymetry_2d = Function(self.P1_2d).interpolate(self.depth.bathymetry_2d) @@ -312,7 +306,7 @@ def get_bedload_term(self, bathymetry): calfamod = (self.calfa + (tt1*bathymetry.dx(0)))/angle_norm salfamod = (self.salfa + (tt1*bathymetry.dx(1)))/angle_norm - if self.use_secondary_current: # seime. no waves effects here either + if self.use_secondary_current: # accounts for helical flow effect in a curver channel # use z_n1 and equals so can use an implicit method in Exner free_surface_dx = self.depth_tot.dx(0) - bathymetry.dx(0) From 6c6d6ae385cae99336bac555c1cb5546b8050a12 Mon Sep 17 00:00:00 2001 From: seimurs Date: Mon, 8 Jun 2026 19:07:05 +0200 Subject: [PATCH 3/6] adding .msh generator; dynamic bathymetry gen function; wave forcing (reduced. WW3 instruction to be added) file; removed dependencies on xarray, meshio and pyvista; removed the coupled iteration in solver2d - as unnecessary for the forcing functionality - must be integrated through coupling branch --- examples/tidalInlet/bathymetry_utils.py | 89 + .../tidalInlet/generate_tidalinlet_mesh.py | 172 + examples/tidalInlet/inlet.py | 265 +- examples/tidalInlet/inlet_v1_4.1.msh | 20395 ++++++++++++++++ examples/tidalInlet/plot_results.py | 206 +- .../tidalInlet/tidalInlet_bathymetry_data.msh | 18591 -------------- examples/tidalInlet/tidalinlet.msh | 19021 -------------- examples/tidalInlet/ww3inlet9mc_12h.nc | Bin 0 -> 1229790 bytes pyproject.toml | 5 + test/examples/test_examples.py | 3 + thetis/options.py | 8 +- thetis/radiation_stress.py | 56 +- thetis/sediment_model.py | 27 +- thetis/shallowwater_eq.py | 5 +- thetis/solver2d.py | 170 +- 15 files changed, 20983 insertions(+), 38030 deletions(-) create mode 100644 examples/tidalInlet/bathymetry_utils.py create mode 100644 examples/tidalInlet/generate_tidalinlet_mesh.py create mode 100644 examples/tidalInlet/inlet_v1_4.1.msh delete mode 100644 examples/tidalInlet/tidalInlet_bathymetry_data.msh delete mode 100644 examples/tidalInlet/tidalinlet.msh create mode 100644 examples/tidalInlet/ww3inlet9mc_12h.nc diff --git a/examples/tidalInlet/bathymetry_utils.py b/examples/tidalInlet/bathymetry_utils.py new file mode 100644 index 000000000..f1baccd5b --- /dev/null +++ b/examples/tidalInlet/bathymetry_utils.py @@ -0,0 +1,89 @@ +""" +bathymetry_utils.py +======================= +Replicates the bathymetry for the tidal inlet (10.1016/j.cageo.2008.02.012) +and interpolates onto the Firedrake mesh + +Domain geometry: 15x14 km + +Depth profile: + y = [0, y_shelf] -> h = h_shelf (flat) + y = [y_shelf, y_ocean] -> h = linear (slope) + y > y_ocean -> h = h_ocean (max depth) + +Usage: + pass Mesh and a FunctionSpace to generate_bathymetry() +""" + +import numpy as np + + +def _depth_profile(y_coords, + h_shelf=4.0, + h_ocean=15.0, + y_shelf=6800.0, + y_ocean=14000.0): + """ + Return water depth [m] at each point in y_coords using the piecewise + linear profile of the tidal inlet domain + + Parameters: + y_coords : cross-shore coordinate values [m] (array of node coords) + h_shelf : constant depth over the inner shelf / lagoon [m] + h_ocean : depth at the open-ocean boundary [m] + y_shelf : y-coordinate where the slope begins [m] + y_ocean : y-coordinate of the open boundary [m] + """ + y = np.asarray(y_coords, dtype=float) + depth = np.where( + y <= y_shelf, + h_shelf, # flat shelf + h_shelf + (h_ocean - h_shelf) * (y - y_shelf) / (y_ocean - y_shelf) # linear ramp + ) + # clamp to [h_shelf, h_ocean] + depth = np.clip(depth, h_shelf, h_ocean) + return depth + + +def generate_bathymetry(mesh2d, P1_2d, + h_shelf=4.0, + h_ocean=15.0, + y_shelf=6800.0, + y_ocean=14000.0, + name='Bathymetry'): + """ + Generate the tidal inlet bathymetry + Default values: [h_shelf=4, h_ocean=15, y_shelf=6800.0, y_ocean=14000] + + The depth depends only on the cross-shore coordinate y (uniform + in x): + - flat shelf of h_shelf metres from y = 0 to y = y_shelf + - linear ramp from h_shelf to h_ocean over y = y_shelf to y_ocean + + Parameters: + mesh2d : firedrake.Mesh - The 2-D Firedrake mesh. + P1_2d : firedrake.FunctionSpace - CG1 function space on mesh2d + ---------- + optionals : h_shelf, h_ocean, y_shelf, y_ocean - parameters defining the depth profile + (see _depth_profile) + + Returns + ------- + bathymetry_2d : firedrake.Function aligned regardless of the internal + nodal reordering/optimization + """ + from firedrake import Function + + # mesh2d.coordinates.dat.data has shape (n_nodes, 2): columns are (x, y) + mesh_coords = mesh2d.coordinates.dat.data + y_nodes = mesh_coords[:, 1] # cross-shore coordinate + + bathy_values = _depth_profile(y_nodes, + h_shelf=h_shelf, + h_ocean=h_ocean, + y_shelf=y_shelf, + y_ocean=y_ocean) + + bathymetry_2d = Function(P1_2d, name=name) + bathymetry_2d.dat.data[:] = bathy_values + return bathymetry_2d diff --git a/examples/tidalInlet/generate_tidalinlet_mesh.py b/examples/tidalInlet/generate_tidalinlet_mesh.py new file mode 100644 index 000000000..66906fd1e --- /dev/null +++ b/examples/tidalInlet/generate_tidalinlet_mesh.py @@ -0,0 +1,172 @@ +import gmsh +import sys + +gmsh.initialize() +gmsh.model.add("Tidal Inlet") + +# Parameters +length_x = 15e3 # 15 km +length_y = 14e3 # 14 km +meshSize = 230 # approximate element size + +NumPointsPerCurve = 6000 # arbitrary set, not really necessary + +# Wall y-location +y_start = 6600 +y_end = 6800 + +# Wall segments +x_left = 6500 +x_right = 8500 + +HR = True # high–resolution flag for inlet walls (l3, l9) +hrfactor = 0.3 # factor of meshSize for HR segments +maxdistfactor = 5.0 # factor to multiply meshSize for max distance in Threshold field + + +# Add points +# -------------------------------- +# Define basin corners (counter-clockwise) +p1 = gmsh.model.geo.addPoint(0, 0, 0, meshSize) # lower left corner +p2 = gmsh.model.geo.addPoint(length_x, 0, 0, meshSize) # lower right corner + +p21 = gmsh.model.geo.addPoint(length_x, y_start, 0, meshSize) # right side complications +p22 = gmsh.model.geo.addPoint(x_right, y_start, 0, meshSize) +p23 = gmsh.model.geo.addPoint(x_right, y_end, 0, meshSize) +p24 = gmsh.model.geo.addPoint(length_x, y_end, 0, meshSize) + +p3 = gmsh.model.geo.addPoint(length_x, length_y, 0, meshSize) # upper right corner +p4 = gmsh.model.geo.addPoint(0, length_y, 0, meshSize) # upper left corner + +p41 = gmsh.model.geo.addPoint(0, y_end, 0, meshSize) # left side complications +p42 = gmsh.model.geo.addPoint(x_left, y_end, 0, meshSize) +p43 = gmsh.model.geo.addPoint(x_left, y_start, 0, meshSize) +p44 = gmsh.model.geo.addPoint(0, y_start, 0, meshSize) + +# make lines +# -------------------------------- +l1 = gmsh.model.geo.addLine(p4, p41) +l2 = gmsh.model.geo.addLine(p41, p42) +l3 = gmsh.model.geo.addLine(p42, p43) +l4 = gmsh.model.geo.addLine(p43, p44) +l5 = gmsh.model.geo.addLine(p44, p1) +l6 = gmsh.model.geo.addLine(p1, p2) +l7 = gmsh.model.geo.addLine(p2, p21) +l8 = gmsh.model.geo.addLine(p21, p22) +l9 = gmsh.model.geo.addLine(p22, p23) +l10 = gmsh.model.geo.addLine(p23, p24) +l11 = gmsh.model.geo.addLine(p24, p3) +l12 = gmsh.model.geo.addLine(p3, p4) # closes the outer loop - the open boundary line + + +# Define line groups for physical boundaries +# -------------------------------- +openboundary_lines = [l12] +coastline_lines = [l1, l2, l3, l4, l5, l6, l7, l8, l9, l10, l11] + +# Create ONLY the full domain surface (single closed loop) +# -------------------------------- +outer_loop_lines = [l1, l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12] +outer_loop = gmsh.model.geo.addCurveLoop(outer_loop_lines) +domain_surface = gmsh.model.geo.addPlaneSurface([outer_loop]) + +# physical groups/curves +# -------------------------------- +gmsh.model.geo.synchronize() +gmsh.model.addPhysicalGroup(2, [domain_surface], 1) # Physical Surface +gmsh.model.setPhysicalName(2, 1, "Fluid_Domain") + +gmsh.model.addPhysicalGroup(1, openboundary_lines, 2) # Open boundary +gmsh.model.setPhysicalName(1, 2, "openboundary") + +gmsh.model.addPhysicalGroup(1, coastline_lines, 3) +gmsh.model.setPhysicalName(1, 3, "coastline") + +# mesh gen +# -------------------------------- + +# Allow smaller sizes (must be <= desired refined size) +gmsh.option.setNumber("Mesh.CharacteristicLengthMin", meshSize * hrfactor) +gmsh.option.setNumber("Mesh.CharacteristicLengthMax", meshSize) + +gmsh.option.setNumber("Mesh.Optimize", 2) +gmsh.option.setNumber("Mesh.OptimizeNetgen", 1) +gmsh.option.setNumber("Mesh.Smoothing", 10) +gmsh.option.setNumber("Mesh.MeshSizeExtendFromBoundary", 0) +gmsh.option.setNumber("Mesh.MeshSizeFromCurvature", 0) + +if HR: + # High‑resolution segment similar to coastline_hr_tag logic in rimini.py + hr_lines = [l3, l9] + + gmsh.model.mesh.field.add("Distance", 1) + gmsh.model.mesh.field.setNumbers(1, "CurvesList", hr_lines) + gmsh.model.mesh.field.setNumber(1, "NumPointsPerCurve", NumPointsPerCurve) + + gmsh.model.mesh.field.add("Threshold", 2) + gmsh.model.mesh.field.setNumber(2, "InField", 1) + gmsh.model.mesh.field.setNumber(2, "SizeMin", meshSize * hrfactor) # target half size + gmsh.model.mesh.field.setNumber(2, "SizeMax", meshSize) + gmsh.model.mesh.field.setNumber(2, "DistMin", 0) + gmsh.model.mesh.field.setNumber(2, "DistMax", meshSize * maxdistfactor) # transition over ~1 base element + + gmsh.model.mesh.field.setAsBackgroundMesh(2) + +gmsh.option.setNumber("Mesh.Algorithm", 6) + +gmsh.model.mesh.generate(2) + + +# ------------------------- +# Remove unused (0D) points +# ------------------------- +# Find point entities not referenced by any line and remove them from the model +points = gmsh.model.getEntities(0) # list of (0, tag) +lines = gmsh.model.getEntities(1) # list of (1, tag) + +used_point_tags = set() +for (_, ltag) in lines: + # getBoundary returns a list of (dim, tag) tuples for entities on the boundary + bnds = gmsh.model.getBoundary([(1, ltag)], oriented=False) + for (bdim, btag) in bnds: + if bdim == 0: + used_point_tags.add(btag) + +unused = [(0, ptag) for (_, ptag) in points if ptag not in used_point_tags] + +if unused: + print(f"Removing {len(unused)} unused point(s): {[t for (_, t) in unused]}") + # Try removing with OCC first; fall back to GEO if needed + removed = False + try: + gmsh.model.occ.remove(unused) + gmsh.model.occ.synchronize() + removed = True + except Exception: + try: + gmsh.model.geo.remove(unused) + gmsh.model.geo.synchronize() + removed = True + except Exception as e: + print("Warning: failed to remove unused points:", e) + if removed: + # If geometry changed, update mesh entity mapping (safe to regenerate surface mesh) + # regenerate mesh nodes/elements to reflect geometry cleanup + gmsh.model.mesh.generate(2) + +# save +gmsh.write("inlet_v1.msh") +# gmsh.write("inlet_v1.vtk") # for visualization in Paraview + +# Verify physical groups +print("\n--- Physical Groups ---") +for dim in [1, 2]: + groups = gmsh.model.getPhysicalGroups(dim) + for tag_dim, tag in groups: + name = gmsh.model.getPhysicalName(tag_dim, tag) + entities = gmsh.model.getEntitiesForPhysicalGroup(tag_dim, tag) + print(f"Dim {tag_dim}, Tag {tag}: '{name}' -> entities {entities}") + +if "-nopopup" not in sys.argv: + gmsh.fltk.run() +gmsh.finalize() diff --git a/examples/tidalInlet/inlet.py b/examples/tidalInlet/inlet.py index de25c0b35..90c603f03 100755 --- a/examples/tidalInlet/inlet.py +++ b/examples/tidalInlet/inlet.py @@ -1,7 +1,32 @@ """ Tidal Inlet ======================= -Simulates the tidal inlet test case from Warner et al. (2008). +Simulates the tidal inlet test case from Warner et al. (2008) [https://doi.org/10.1016/j.cageo.2008.02.012]. + +Description: + This example demonstrates the use of wave-current forcing in the sediment transport module. + It tests the implmentation of Leo Van Rijn, 2007 [10.1061/(ASCE)0733-9429(2007)133:6(649)] + bedload transport formulation for combined wave-current flows, + if the following options are set to True: + use_vanRijn_2007_bedload = True (if false, fallws back to default Meyer-Peter Müller - only currents) + wave_curr_inter = True (this will activate the excess momentum flux terms in momentum eq.) + +Usage: + The inlet.py can be run given the presence of the mesh and wave forcing files as: + mpirun -n python inlet.py + Reusults visualization: + python plot_results.py + + If the mesh file is not present, run (required gmsh): + python generate_tidalinlet_mesh.py + -> export in 4.1 .msh format to handle physical groups (default save format) + If wave frocing is not present, or a different wave forcing is desired, + the WW3 model can be set-up and run using v6.07.1 version: + [https://github.com/NOAA-EMC/WW3/releases/tag/6.07.1] + + requirements: switch file (physics namelist) with the following settings: + + author: Seimur Shirinov date: June 2025 @@ -9,11 +34,11 @@ from thetis import * -import meshio import numpy as np from scipy.spatial import cKDTree -import os, sys -import xarray as xr +import os +import netCDF4 as nc +from bathymetry_utils import generate_bathymetry # Setup zones sim_tz = timezone.pytz.utc @@ -66,67 +91,50 @@ def interpolate_at_dt(wavefield, time_array, dt_seconds): # MESH # --------------------------------------------- -# bathymetry data (.msh format): -bathymetry_data='tidalInlet_bathymetry_data.msh' -# mesh with physical groups: -mesh2dfile='tidalinlet.msh' +# mesh2dfile = './inlet_v1_2.2.msh' +mesh2dfile = 'inlet_v1_4.1.msh' mesh2d = Mesh(mesh2dfile) # define function spaces -# P1_2d = FunctionSpace(mesh2d, 'CG', 1) P1_2d = FunctionSpace(mesh2d, 'CG', 1) vectorP1_2d = VectorFunctionSpace(mesh2d, 'DG', 1) # BATHYMETRY # --------------------------------------------- -# define function space for bathymetry - wrapps P1_2d object +# Replicates the Warner et al. (2008) tidal inlet profile: +# flat shelf h=4 m for y ≤ 6800 m, then linear ramp to h=15 m at y=14000 m bathymetry_2d = Function(P1_2d, name='Bathymetry') -# bathymetric data at nodes from the mesh itself - added in pre-processing already -mesh = meshio.read(bathymetry_data) -# node coordinates -points = mesh.points # shape: (num_nodes, 3) - -# RE-ALIGN bathymetry with mesh -# --------------------------------------------- -# Given that the mesh verticies numbering gets shaffled by Mesh(), we need to re-align the bathymetry -# using kdtree find nearest neighbors from coords to points and thus re-align them: -tree = cKDTree(points[:, :2]) -distances, indices = tree.query(mesh2d.coordinates.dat.data, k=1) - -# final bathymetry -bathymetry_2d.dat.data[:] = points[indices, 2] - - +bathymetry_2d.dat.data[:] = generate_bathymetry(mesh2d, P1_2d).dat.data[:] # Wave Fields # --------------------------------------------- -ww3waves = '/Users/sshirinov/mac/cmcc/shyfem/cases/inlet/tideinlet3/ww3waves.nc' -ds = xr.open_dataset(ww3waves) +ww3waves = 'ww3inlet9mc_12h.nc' +_ds = nc.Dataset(ww3waves) -# Extract coordinates and variables -x_nc = ds['x'].values # shape: (node,) -y_nc = ds['y'].values +# Extract coordinates and variables as plain numpy arrays +x_nc = _ds.variables['x'][:] +y_nc = _ds.variables['y'][:] coords_nc = np.column_stack((x_nc, y_nc)) -sxx = ds['sxx'].values # shape: (time, node) -syy = ds['syy'].values -sxy = ds['sxy'].values -hs_w = ds['hs'].values -dir_w = ds['dir'].values -p_m = ds['t01'].values -f_p = ds['fp'].values -uubr = ds['uubr'].values -vubr = ds['vubr'].values - -mesh_rad = meshio.read(mesh2dfile) - -# Get mesh points and connectivity -points_mesh = mesh_rad.points[:, :2] # only x and y -cells = mesh_rad.cells_dict.get("triangle") -if cells is None: - raise ValueError("Expected triangular mesh cells") - -# match NetCDF nodes to mesh nodes +sxx = _ds.variables['sxx'][:] +syy = _ds.variables['syy'][:] +sxy = _ds.variables['sxy'][:] +hs_w = _ds.variables['hs'][:] +dir_w = _ds.variables['dir'][:] +p_m = _ds.variables['t01'][:] +f_p = _ds.variables['fp'][:] +uubr = _ds.variables['uubr'][:] +vubr = _ds.variables['vubr'][:] + +# Convert CF time to numpy datetime64 (same dtype as xarray, so interpolate_at_dt is unchanged) +_tv = _ds.variables['time'] +wave_time = np.array([ + np.datetime64(t.isoformat()) + for t in nc.num2date(_tv[:], _tv.units, getattr(_tv, 'calendar', 'standard')) +]) + + +# match NetCDF nodes to mesh nodes # using KDTree to find closest matching node tree = cKDTree(coords_nc) _, idx_match = tree.query(mesh2d.coordinates.dat.data, k=1) @@ -136,39 +144,41 @@ def interpolate_at_dt(wavefield, time_array, dt_seconds): syy_aligned = syy[:, idx_match] sxy_aligned = sxy[:, idx_match] # similarly with other fields: -hs_w_aligned = hs_w [:,idx_match] -dir_w_aligned = dir_w[:,idx_match] -p_m_aligned = p_m [:,idx_match] -f_p_aligned = f_p [:,idx_match] -uubr_aligned = uubr [:,idx_match] -vubr_aligned = vubr [:,idx_match] -u_mag_aligned = np.sqrt(uubr_aligned**2 + vubr_aligned**2) +hs_w_aligned = hs_w[:, idx_match] +dir_w_aligned = dir_w[:, idx_match] +p_m_aligned = p_m[:, idx_match] +f_p_aligned = f_p[:, idx_match] +uubr_aligned = uubr[:, idx_match] +vubr_aligned = vubr[:, idx_match] +u_mag_aligned = np.sqrt(uubr_aligned**2 + vubr_aligned**2) # Create functions for radiation stresses and wave parameters: rad_stress_2d = Function(vectorP1_2d, name='rad_stress_2d') -wave_height_2d = Function(P1_2d, name = 'wave_height_2d') -wave_peak_freq_2d = Function(P1_2d, name = 'wave_peak_freq_2d') -wave_dir_2d = Function(P1_2d, name = 'wave_dir_2d') -wave_orbital_vel_2d = Function(P1_2d, name = 'wave_orbital_vel_2d') -wave_mean_period_2d = Function(P1_2d, name = 'wave_mean_period_2d') +wave_height_2d = Function(P1_2d, name='wave_height_2d') +wave_peak_freq_2d = Function(P1_2d, name='wave_peak_freq_2d') +wave_dir_2d = Function(P1_2d, name='wave_dir_2d') +wave_orbital_vel_2d = Function(P1_2d, name='wave_orbital_vel_2d') +wave_mean_period_2d = Function(P1_2d, name='wave_mean_period_2d') # def update_wave_forcing(t_new,rad_stress_2d,P1_2d,vectorP1_2d,solver_obj): -def update_wave_forcing(t_new,P1_2d,solver_obj): + + +def update_wave_forcing(t_new, P1_2d, solver_obj): # # Interpolate - solver_obj.fields.wave_height_2d.dat.data[:] = interpolate_at_dt(hs_w_aligned, ds.time, t_new) - solver_obj.fields.wave_peak_freq_2d.dat.data[:] = interpolate_at_dt(f_p_aligned, ds.time, t_new) - solver_obj.fields.wave_dir_2d.dat.data[:] = interpolate_at_dt(dir_w_aligned, ds.time, t_new) - solver_obj.fields.wave_orbital_vel_2d.dat.data[:] = interpolate_at_dt(u_mag_aligned, ds.time, t_new) - solver_obj.fields.wave_mean_period_2d.dat.data[:] = interpolate_at_dt(p_m_aligned, ds.time, t_new) + solver_obj.fields.wave_height_2d.dat.data[:] = interpolate_at_dt(hs_w_aligned, wave_time, t_new) + solver_obj.fields.wave_peak_freq_2d.dat.data[:] = interpolate_at_dt(f_p_aligned, wave_time, t_new) + solver_obj.fields.wave_dir_2d.dat.data[:] = interpolate_at_dt(dir_w_aligned, wave_time, t_new) + solver_obj.fields.wave_orbital_vel_2d.dat.data[:] = interpolate_at_dt(u_mag_aligned, wave_time, t_new) + solver_obj.fields.wave_mean_period_2d.dat.data[:] = interpolate_at_dt(p_m_aligned, wave_time, t_new) sxx_int = Function(P1_2d, name="sxx_int") sxy_int = Function(P1_2d, name="sxy_int") syy_int = Function(P1_2d, name="syy_int") - sxx_int.dat.data[:] = interpolate_at_dt(sxx_aligned, ds.time, t_new) - sxy_int.dat.data[:] = interpolate_at_dt(sxy_aligned, ds.time, t_new) - syy_int.dat.data[:] = interpolate_at_dt(syy_aligned, ds.time, t_new) + sxx_int.dat.data[:] = interpolate_at_dt(sxx_aligned, wave_time, t_new) + sxy_int.dat.data[:] = interpolate_at_dt(sxy_aligned, wave_time, t_new) + syy_int.dat.data[:] = interpolate_at_dt(syy_aligned, wave_time, t_new) sxx_dx = Function(P1_2d).interpolate(sxx_int.dx(0)) syy_dy = Function(P1_2d).interpolate(syy_int.dx(1)) @@ -187,40 +197,27 @@ def update_wave_forcing(t_new,P1_2d,solver_obj): # TIMING # --------------------------------------------- # Simulation window: -timestep = 60. # -> time-stepping (if not adaptive) -t_end = 3600 * 49 # -> total run time in sec.: 2 days + 1h -# t_export = 3600.0 # -> export interval in sec. -t_export = 1800.0 # -> export interval in sec. - +timestep = 20 # -> time-stepping (if not adaptive) +t_end = 3600 * 48 # -> total run time in sec.: 2 days +t_export = 600 # -> export interval in sec: every 10min -# set-up tides: -# tidal_amplitude = 0.1 -tidal_amplitude = 1.0 -tidal_period = 43200 # 12 hours # Copied from other test cases, perhaps not needed here if os.getenv('THETIS_REGRESSION_TEST') is not None: # when run as a pytest test, only run 5 timesteps # and test the gradient t_end = 5*timestep - test_gradient = True # test gradient using Taylor test (see below) - optimise = False # skip actual gradient based optimisation -else: - test_gradient = False - optimise = True print(t_end) # Solver # --------------------------------------------- -# outputdir = 'outputs_hydro' -outputdir = 'outputs_sed' +outputdir = f'outputs_sed_{t_export}s' temp_const = 18.0 salt_ocean = 35.0 viscosity_hydro = Constant(5*10**(-2)) -# average_size = 2 * 10**(-4) average_size = 1 * 10**(-4) ksp = Constant(3*average_size) @@ -232,21 +229,29 @@ def update_wave_forcing(t_new,P1_2d,solver_obj): options.output_directory = outputdir options.simulation_export_time = t_export options.simulation_end_time = t_end -# options.cfl_2d = Constant(0.8) -options.swe_timestepper_type = 'CrankNicolson' # stable -# options.swe_timestepper_type = 'ForwardEuler' # -> unstable # BackwardEuler - stable +options.swe_timestepper_type = 'CrankNicolson' # stable +# options.swe_timestepper_type = 'BackwardEuler' # 'ForwardEuler' # -> unstable # BackwardEuler - stable +# options.swe_timestepper_type = 'SSPRK33' +# options.swe_timestepper_type = 'DIRK22' options.check_volume_conservation_2d = True -options.element_family = 'dg-dg' # the stable element family for this test case +options.element_family = 'dg-dg' # the stable element family for this test case # options.element_family = 'rt-dg' # worked too options.swe_timestepper_options.implicitness_theta = 0.5 options.swe_timestepper_options.use_semi_implicit_linearization = True -options.fields_to_export = ['uv_2d', 'elev_2d', 'bathymetry_2d','sediment_2d', - 'rad_stress_2d','wave_height_2d','wave_orbital_vel_2d', - 'wave_dir_2d'] # +options.fields_to_export = ['uv_2d', 'elev_2d', 'bathymetry_2d', 'sediment_2d', + 'rad_stress_2d', 'wave_height_2d', 'wave_orbital_vel_2d', + 'wave_dir_2d'] options.timestep = timestep +# options.swe_timestepper_options.use_automatic_timestep = True +# options.set_timestepper_type('CrankNicolson', implicitness_theta=1.0) +# Many schemes do not have automatic timestepping mech. +if hasattr(options.swe_timestepper_options, 'use_automatic_timestep'): + options.swe_timestepper_options.use_automatic_timestep = True -# Chose only one of the following friction formulations: +# options.swe_timestepper_options.use_semi_implicit_linearization = False # this is forbidden if automatic timestepper = True + +# Chose (uncomment) only one of the following friction formulations: # --------------------------------------------- # # Manning drag coeff: # manning_2d = Function(P1_2d, name="Manning coefficient") @@ -257,19 +262,22 @@ def update_wave_forcing(t_new,P1_2d,solver_obj): # options.linear_drag_coefficient = Constant(0.003) # options.nikuradse_bed_roughness = Constant(ksp) -# Using quadratic drag coefficient: +# Quadratic drag coefficient: quadratic_drag = Function(P1_2d, name="Quadratic drag coefficient") quadratic_drag.assign(2.5e-03) options.quadratic_drag_coefficient = quadratic_drag # horiz viscosity: -options.horizontal_viscosity = Constant(0.002) +options.horizontal_viscosity = Constant(0.002) +# options.use_smagorinsky_viscosity = False + # Wave terms: options.wave_curr_inter = True # Sediments # ------------- +MORPHOFAC = 1.0 # below two options activate wave forcing and the use of van Rijn intra-wave bedload transport formulation options.sediment_model_options.van_Rijn_bedload = True options.sediment_model_options.wave_forcing = True @@ -278,47 +286,58 @@ def update_wave_forcing(t_new,P1_2d,solver_obj): options.sediment_model_options.solve_exner = True options.sediment_model_options.use_angle_correction = True options.sediment_model_options.use_slope_mag_correction = True -options.sediment_model_options.use_secondary_current = True +options.sediment_model_options.use_secondary_current = False # if true will not use van_Rijn_bedload # if solve_suspended_sediment is True then correction should be true and backwards -options.sediment_model_options.use_advective_velocity_correction = True # if false leads to Nonetype * Function -> error -options.sediment_model_options.morphological_viscosity = Constant(1e-6) +options.sediment_model_options.use_advective_velocity_correction = True # if false leads to Nonetype * Function -> error +options.sediment_model_options.morphological_viscosity = Constant(1e-6) options.sediment_model_options.average_sediment_size = Constant(average_size) +# options.sediment_model_options.bed_reference_height = Constant(average_size*2.5) options.sediment_model_options.bed_reference_height = Constant(0.03) -options.sediment_model_options.morphological_acceleration_factor = Constant(1.0) -options.sediment_model_options.horizontal_diffusivity = Constant(0.002) #< - just like in shyfem +options.sediment_model_options.morphological_acceleration_factor = Constant(MORPHOFAC) +options.sediment_model_options.horizontal_diffusivity = Constant(0.002) # < - just like in shyfem +# options.sediment_model_options.sediment_timestepper_options.use_automatic_timestep = True +# options.sediment_model_options.exner_timestepper_options.use_automatic_timestep = True # Tidal forcing # --------------------------------------------- -# tidal_amplitude = 0.5 # meters -tidal_amplitude = 1.0 # meters !! as in the paper ! -tidal_period = 43200 # seconds (12 hours) -phase_seconds = 10800 # seconds +tidal_amplitude = 1.03 # meters +tidal_period = 43200 # seconds +phase_seconds = 10800 # seconds ramp_duration = phase_seconds -ramp_duration = 4 * 3600 # delay in tidal evolution time -# phase_radians = (2 * np.pi / tidal_period) * phase_seconds +ramp_duration = 4 * 3600 # delay in tidal evolution time +# ramp_duration = 1.0 phase_radians = (2 * pi / tidal_period) * phase_seconds t = np.linspace(0, t_end, int(timestep)) # seconds tidal_elev = Constant(0.0) +RAMPUP = False # Forcing fields at each time step # --------------------------------------------- + + def update_forcings(t_new,): - # print(f" updating forcing at t: {t_new}") - # no ramp-up: - # tidal_elev.assign(tidal_amplitude * sin((2 * pi / tidal_period) * (t_new + phase_seconds))) - # with ramp-up: - tidal_elev.assign(tanh(t_new / ramp_duration) * sin(2*pi/tidal_period * (t_new + phase_seconds)) * tidal_amplitude) + + if RAMPUP: + # Ramp-up: + tidal_elev.assign(tanh(t_new / ramp_duration) * sin(2*pi/tidal_period * (t_new + phase_seconds)) * tidal_amplitude) + else: + # No ramp-up: + # offset -> to align with shyfem tidal signal output + offset = 1600 + tidal_elev.assign(tidal_amplitude * sin(2 * pi * (t_new + phase_seconds + offset) / tidal_period)) + + # zval = zref+ampli*sin(2.d0*pi*(rit+phase)/period) # update wave forcing: - update_wave_forcing(t_new,P1_2d,solver_obj) + update_wave_forcing(t_new, P1_2d, solver_obj) # Define the boundary conditions for the SWE # --------------------------------------------- -# boundary condtitions are defined for each external boundary using their ID. -# Ids taken as physical groups from mesh - predefined +# boundary condtitions are defined for each external boundary using their ID. +# Ids taken as physical groups from mesh - predefined in gmsh openboundary = 2 coastline = 3 domain_surf = 1 @@ -329,18 +348,20 @@ def update_forcings(t_new,): freeslip_bc = {'un': Constant(0.0)} -swe_bnd[coastline] = freeslip_bc # this works-> imposes constant norm vel all along the coastline (free slip condition) +swe_bnd[coastline] = freeslip_bc # imposes constant norm vel all along the coastline # swe_bnd[domain_surf] = freeslip_bc # swe_bnd[openboundary] = freeslip_bc +# OB coundition swe_bnd[openboundary] = {'flux': Constant(0.0), 'elev': tidal_elev} -# BCs are now complete: +# pass BCs to the solver: solver_obj.bnd_functions['shallow_water'] = swe_bnd elev_init = Function(P1_2d) -elev_init.assign(0.0) +if RAMPUP: + elev_init.assign(0.0) +else: + elev_init.assign(tidal_amplitude) solver_obj.assign_initial_conditions(elev=elev_init, uv=as_vector((1e-5, 0.0))) solver_obj.iterate(update_forcings=update_forcings) - - diff --git a/examples/tidalInlet/inlet_v1_4.1.msh b/examples/tidalInlet/inlet_v1_4.1.msh new file mode 100644 index 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5039 +10139 324 4907 4981 +10140 3471 4985 5020 +10141 3711 4961 5035 +10142 4982 4648 4987 +10143 4983 4647 4988 +10144 2940 4983 4988 +10145 2939 4982 4987 +10146 4952 419 5051 +10147 3864 5023 5069 +10148 4931 2996 5025 +10149 2154 4992 5062 +10150 4992 2945 5062 +10151 4985 1590 5020 +10152 858 4987 5066 +10153 857 4988 5067 +10154 4987 4648 5066 +10155 4988 4647 5067 +10156 5023 1653 5069 +$EndElements diff --git a/examples/tidalInlet/plot_results.py b/examples/tidalInlet/plot_results.py index 60630d313..a2c5d3fec 100755 --- a/examples/tidalInlet/plot_results.py +++ b/examples/tidalInlet/plot_results.py @@ -1,60 +1,93 @@ import os -import sys +import glob import numpy as np -import pyvista as pv +import vtkmodules.vtkIOXML as _vtkio +import vtkmodules.util.numpy_support as _vnp import matplotlib.pyplot as plt import matplotlib.tri as tri -from matplotlib.cm import get_cmap +from matplotlib.cm import get_cmap import matplotlib.colors as colors -import colorcet as cc # Required if using 'cet_rainbow4' colormap +# import colorcet as cc # Required if using 'cet_rainbow4' colormap + + +def read_mesh(filepath): + """ + Read a .vtu or .pvtu file using the vtk library already present in the firedrake env. + Returns (points (N,3), tri_cells (M,3), point_data {name: ndarray}). + """ + if filepath.endswith('.pvtu'): + reader = _vtkio.vtkXMLPUnstructuredGridReader() + else: + reader = _vtkio.vtkXMLUnstructuredGridReader() + reader.SetFileName(filepath) + reader.Update() + ug = reader.GetOutput() + + points = _vnp.vtk_to_numpy(ug.GetPoints().GetData()) # (N, 3) + connectivity = _vnp.vtk_to_numpy(ug.GetCells().GetConnectivityArray()) + tri_cells = connectivity.reshape(-1, 3).astype(np.int32) # pure triangle mesh + + pd = ug.GetPointData() + point_data = {pd.GetArrayName(i): _vnp.vtk_to_numpy(pd.GetArray(i)) + for i in range(pd.GetNumberOfArrays())} + return points, tri_cells, point_data # Execution set-up is at the end of this script # FUNCTIONS: # ============================================================================== + + def truncate_colormap(cmap, minval=0.0, maxval=1.0, n=100): return colors.LinearSegmentedColormap.from_list( f'trunc({cmap.name},{minval:.2f},{maxval:.2f})', cmap(np.linspace(minval, maxval, n)) ) + def plot_combined_view( timestep_val: int, coredirout: str, extension: str, cmap_obj: plt.cm, - fig_size: tuple = (18, 16), + fig_size: tuple = (16, 15), aspect_equal: bool = True ) -> None: """ Plots velocity, sediment, bathymetry, and SSH fields in a 2x2 subplot for a given timestep. """ - + # Configure the min-max color bar values for the fields plot_configs = { 'vel': { 'VARIABLE_BASE_NAME': 'Velocity2d', 'FIELD_NAME_IN_VTU': 'Depth averaged velocity', 'VARIABLE_BASE_DIR': 'Velocity2d', - 'vmin': 0.0, 'vmax': 0.5, + 'vmin': 0.0, 'vmax': 1.0, 'is_bathymetry': False, 'is_sediments': False, 'is_ssh': False, - 'title': 'Velocity Magnitude' + 'title': 'Velocity Magnitude', + 'units': 'm/s', + 'cmap': 'jet' }, 'sed': { 'VARIABLE_BASE_NAME': 'Sediment2d', 'FIELD_NAME_IN_VTU': 'Sediment', 'VARIABLE_BASE_DIR': 'Sediment2d', - 'vmin': 0.0, 'vmax': 0.5, + 'vmin': 0.0, 'vmax': 1.0, 'is_bathymetry': False, 'is_sediments': True, 'is_ssh': False, - 'title': 'Sediment Concentration' + 'title': 'Sediment Concentration', + 'units': '-', + 'cmap': 'viridis' }, 'bathy': { 'VARIABLE_BASE_NAME': 'Bathymetry2d', 'FIELD_NAME_IN_VTU': 'Bathymetry', 'VARIABLE_BASE_DIR': 'Bathymetry2d', - 'vmin': 9.0, 'vmax': 12.0, + 'vmin': -1.0, 'vmax': 1.0, 'is_bathymetry': True, 'is_sediments': False, 'is_ssh': False, - 'title': 'Bathymetry Change' + 'title': 'Bathymetry Change', + 'units': 'm', + 'cmap': 'RdBu_r' }, 'ssh': { 'VARIABLE_BASE_NAME': 'Elevation2d', @@ -62,96 +95,75 @@ def plot_combined_view( 'VARIABLE_BASE_DIR': 'Elevation2d', 'vmin': 0.94, 'vmax': 1.03, 'is_bathymetry': False, 'is_sediments': False, 'is_ssh': True, - 'title': 'Sea Surface Height (SSH)' + 'title': 'Sea Surface Height (SSH)', + 'units': 'm', + 'cmap': 'RdYlBu_r' } } def get_data_for_plot(config): - """Helper function to load and process data for a single plot.""" + """Load and process mesh + field data for a single subplot.""" data_dir = os.path.join(coredirout, config['VARIABLE_BASE_DIR'], config['VARIABLE_BASE_DIR']) - file_name = f"{config['VARIABLE_BASE_NAME']}_{timestep_val}.{extension}" - filepath = os.path.join(data_dir, file_name) + filepath = os.path.join(data_dir, f"{config['VARIABLE_BASE_NAME']}_{timestep_val}.{extension}") if not os.path.exists(filepath): print(f"Warning: File not found for {config['title']} at timestep {timestep_val}. Skipping.") return None try: - mesh = pv.read(filepath) + points, tri_cells, pdata = read_mesh(filepath) if config['is_bathymetry']: - originalbathy_mesh = pv.read(os.path.join(data_dir, f"{config['VARIABLE_BASE_NAME']}_{0}.{extension}")) + _, _, pdata_bathy0 = read_mesh( + os.path.join(data_dir, f"{config['VARIABLE_BASE_NAME']}_0.{extension}")) if config['is_ssh']: - filepath_vel = os.path.join(f'{coredirout}/Velocity2d/Velocity2d', f"Velocity2d_{timestep_val}.{extension}") - mesh_vel = pv.read(filepath_vel) + _, _, pdata_vel = read_mesh( + os.path.join(coredirout, 'Velocity2d', 'Velocity2d', + f"Velocity2d_{timestep_val}.{extension}")) except Exception as e: print(f"Error reading mesh for {config['title']}: {e}. Skipping.") return None field_name = config['FIELD_NAME_IN_VTU'] - if field_name in mesh.cell_data: - mesh = mesh.cell_data_to_point_data() - if config['is_bathymetry']: - originalbathy_mesh = originalbathy_mesh.cell_data_to_point_data() - - if field_name not in mesh.point_data: + raw = pdata.get(field_name) + if raw is None: print(f"Error: Field '{field_name}' not found for {config['title']}. Skipping.") return None - raw_field_data = mesh.point_data[field_name] velocity_x, velocity_y = None, None - - is_vector_field = (field_name == 'Depth averaged velocity' and raw_field_data.ndim > 1 and raw_field_data.shape[-1] >= 2) + is_vector_field = (field_name == 'Depth averaged velocity' + and raw.ndim > 1 and raw.shape[-1] >= 2) if is_vector_field: - velocity_x, velocity_y = raw_field_data[:, 0], raw_field_data[:, 1] + velocity_x, velocity_y = raw[:, 0], raw[:, 1] field_data = np.sqrt(velocity_x**2 + velocity_y**2) elif config['is_bathymetry']: - raw_field_data_originalbathy = originalbathy_mesh.point_data[field_name] - field_data = (raw_field_data_originalbathy - raw_field_data) + 10 + field_data = pdata_bathy0.get(field_name) - raw elif config['is_sediments']: - field_data = raw_field_data * 1024 + field_data = raw * 1024 elif config['is_ssh']: - field_data = raw_field_data - raw_field_data_vel = mesh_vel.point_data['Depth averaged velocity'] - velocity_x, velocity_y = raw_field_data_vel[:, 0], raw_field_data_vel[:, 1] + field_data = raw + vel_raw = pdata_vel.get('Depth averaged velocity') + velocity_x, velocity_y = vel_raw[:, 0], vel_raw[:, 1] else: - field_data = raw_field_data + field_data = raw - # Triangulation - try: - tri_mesh = mesh.extract_surface().extract_all_triangles() - if tri_mesh.n_cells > 0 and tri_mesh.faces.size > 0: - triangle_cells = tri_mesh.faces.reshape(-1, 4)[:, 1:] if tri_mesh.faces[0] == 3 else tri_mesh.faces.reshape(-1, 3) - else: - triangle_cells = mesh.cells.reshape((-1, 4))[:, 1:] - except Exception: - triangle_cells = mesh.cells.reshape((-1, 4))[:, 1:] - - unique_indices = np.unique(triangle_cells.flatten()) - idx_map = np.full(mesh.points.shape[0], -1, dtype=int) - idx_map[unique_indices] = np.arange(len(unique_indices)) - - filtered_points = mesh.points[unique_indices, :2] - filtered_field_data = field_data[unique_indices] - x_coords, y_coords = filtered_points[:, 0], filtered_points[:, 1] - remapped_cells = idx_map[triangle_cells] - triangulation = tri.Triangulation(x_coords, y_coords, remapped_cells) + triangulation = tri.Triangulation(points[:, 0], points[:, 1], tri_cells) return { 'triangulation': triangulation, - 'filtered_field_data': filtered_field_data, + 'filtered_field_data': field_data, 'config': config, 'is_vector_field': is_vector_field or config['is_ssh'], - 'velocity_x': velocity_x[unique_indices] if velocity_x is not None else None, - 'velocity_y': velocity_y[unique_indices] if velocity_y is not None else None, - 'filtered_points': filtered_points + 'velocity_x': velocity_x, + 'velocity_y': velocity_y, + 'filtered_points': points[:, :2], } # --- Plotting Setup --- fig, axes = plt.subplots(2, 2, figsize=fig_size, dpi=200) fig.suptitle(f"Combined View — Timestep {timestep_val}", fontsize=24) - - plot_order = [('vel', axes[0, 0]), ('sed', axes[0, 1]), + + plot_order = [('vel', axes[0, 0]), ('sed', axes[0, 1]), ('bathy', axes[1, 0]), ('ssh', axes[1, 1])] for key, ax in plot_order: @@ -166,11 +178,13 @@ def get_data_for_plot(config): vmin, vmax = config['vmin'], config['vmax'] contour_step = (vmax - vmin) / NUM_CBARS levels = np.arange(vmin, vmax + contour_step, contour_step) - + im = ax.tricontourf( - plot_data['triangulation'], + plot_data['triangulation'], plot_data['filtered_field_data'], - levels=levels, cmap=cmap_obj, extend='both', vmin=vmin, vmax=vmax + levels=levels, cmap=config['cmap'], extend='both', + extendrect=False, + vmin=vmin, vmax=vmax ) if plot_data['is_vector_field']: @@ -190,70 +204,79 @@ def get_data_for_plot(config): ax.set_xlim([0, 15000]) ax.set_ylim([0, 14000]) ax.grid(True, linestyle='--', alpha=0.7) - + from matplotlib.ticker import FuncFormatter - def to_km(x, pos): return f"{x / 1000:.0f}" + + def to_km(x, pos): + return f"{x / 1000:.0f}" ax.xaxis.set_major_formatter(FuncFormatter(to_km)) ax.yaxis.set_major_formatter(FuncFormatter(to_km)) cbar = fig.colorbar(im, ax=ax, orientation='vertical', aspect=20, pad=0.08) - cbar.set_label(config['FIELD_NAME_IN_VTU'], fontsize=16) + cbar.set_label(f"{config['FIELD_NAME_IN_VTU']} [{config['units']}]", fontsize=16) cbar.ax.tick_params(labelsize=14) - - tick_step = contour_step * NUM_CBARS/2 - # cbar.set_ticks(np.arange(vmin, vmax + tick_step, tick_step)) - cbar.set_ticks(np.arange(vmin, vmax + contour_step, contour_step*2)) + + cbar.set_ticks(np.arange(vmin, vmax + contour_step, contour_step * 2)) plt.tight_layout(rect=[0, 0, 1, 0.96]) if 'SHOW_FIG' in globals() and SHOW_FIG: plt.show() - + if 'SAVE_FIG' in globals() and SAVE_FIG: FIGURES_DIR = './figures' if not os.path.exists(FIGURES_DIR): os.makedirs(FIGURES_DIR) - + filename = os.path.join(FIGURES_DIR, f"combined_view_{timestep_val}.jpg") - plt.savefig(filename, dpi=300, bbox_inches='tight') + plt.savefig(filename, dpi=200, bbox_inches='tight') print(f"Figure saved to {filename}") plt.close(fig) - - -# MAIN execution (combined plot) +# MAIN execution # ============================================================================== - # SET UP parameters below to plot: - # - time window to plot (in terms of time indicies) -# TIME_WINDOW = np.arange(47, 50, 1) # -# TIME_WINDOW = np.arange(4, 6, 1) # TIME_WINDOW = np.arange(96, 98, 1) # ~ 48 hours if half-hourly export (t_export = 1800) +LAST_FRAME = True + # - output files: coredirout = './outputs_sed' +coredirout = './outputs_sed_600s_bkp' -# - color map settings +# - color map settings trunc_cmap_min = 0.1 trunc_cmap_max = 1.0 # - bar plot sections - NUM_CBARS = 20 -# - extension for file reading -extension = 'vtu' # for single core -extension = 'pvtu' # for multi-core +# - extension for file reading +extension = 'vtu' # for single core +extension = 'pvtu' # for multi-core # - figure params -COLORMAP_NAME = 'cet_rainbow4' +# COLORMAP_NAME = 'cet_rainbow4' +COLORMAP_NAME = 'jet' FIGURE_SIZE = (9, 8) PLOT_ASPECT_EQUAL = True SAVE_FIG = True SHOW_FIG = False # Set to True to show the plot + +def get_last_timestep(coredirout, extension): + """Return the highest timestep index found in the Velocity2d output directory.""" + pattern = os.path.join(coredirout, 'Velocity2d', 'Velocity2d', f'Velocity2d_*.{extension}') + files = glob.glob(pattern) + if not files: + raise FileNotFoundError(f'No output files found matching: {pattern}') + indices = [int(os.path.splitext(os.path.basename(f))[0].split('_')[-1]) for f in files] + return max(indices) + + # Execute if __name__ == "__main__": try: @@ -263,7 +286,14 @@ def to_km(x, pos): return f"{x / 1000:.0f}" print(f"Error: Colormap '{COLORMAP_NAME}' not found. Using 'viridis'.") selected_colormap = get_cmap('viridis') - for ts in TIME_WINDOW: + if LAST_FRAME: + last_ts = get_last_timestep(coredirout, extension) + print(f'LAST_FRAME=True: plotting timestep {last_ts}') + ts_range = [last_ts] + else: + ts_range = TIME_WINDOW + + for ts in ts_range: plot_combined_view( timestep_val=ts, coredirout=coredirout, diff --git a/examples/tidalInlet/tidalInlet_bathymetry_data.msh b/examples/tidalInlet/tidalInlet_bathymetry_data.msh deleted file mode 100644 index 935357add..000000000 --- a/examples/tidalInlet/tidalInlet_bathymetry_data.msh +++ /dev/null @@ -1,18591 +0,0 @@ -$MeshFormat -2.2 0 8 -$EndMeshFormat -$Nodes -6336 -1 15200.000000 14000.000000 14.92500 -2 15000.000000 14000.000000 14.92500 -3 15053.589844 13853.589844 14.77617 -4 15200.000000 13800.000000 14.82400 -5 0.000000 14000.000000 14.82400 -6 14800.000000 14000.000000 14.90400 -7 14887.342773 13811.973633 14.71263 -8 15031.982422 13699.152344 14.54030 -9 15200.000000 13600.000000 14.38800 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4434 4467 -2259 2 2 1 3 5961 2546 5972 -2260 2 2 1 3 1070 1067 3986 -2261 2 2 1 3 1389 4074 5259 -2262 2 2 1 3 4067 2011 4068 -2263 2 2 1 3 2182 2757 4268 -2264 2 2 1 3 2279 2276 5600 -2265 2 2 1 3 2385 2656 4184 -2266 2 2 1 3 2451 2946 4187 -2267 2 2 1 3 2521 4136 4137 -2268 2 2 1 3 2699 4148 4149 -2269 2 2 1 3 4066 2834 5721 -2270 2 2 1 3 2937 3091 5389 -2271 2 2 1 3 2941 4528 5206 -2272 2 2 1 3 5635 4127 5656 -2273 2 2 1 3 4188 4189 5426 -2274 2 2 1 3 4237 3692 4616 -2275 2 2 1 3 4056 3381 4057 -2276 2 2 1 3 2680 1734 5460 -2277 2 2 1 3 2671 4729 5155 -2278 2 2 1 3 2833 2834 4065 -2279 2 2 1 3 1624 1623 4677 -2280 2 2 1 3 3905 2824 4313 -2281 2 2 1 3 1571 1573 4338 -2282 2 2 1 3 1231 1082 4185 -2283 2 2 1 3 3393 5085 5607 -2284 2 2 1 3 3378 5001 5204 -2285 2 2 1 3 3929 3366 4272 -2286 2 2 1 3 4177 3408 5044 -2287 2 2 1 3 2443 1074 4413 -2288 2 2 1 3 3181 4478 4479 -2289 2 2 1 3 5774 3448 5811 -2290 2 2 1 3 4458 4072 5696 -2291 2 2 1 3 1368 1498 4604 -2292 2 2 1 3 4085 1360 5578 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2738 3024 5449 -9981 2 2 1 3 5103 3491 5358 -9982 2 2 1 3 5290 5524 5551 -9983 2 2 1 3 5556 3930 5777 -9984 2 2 1 3 1261 2715 5203 -9985 2 2 1 3 1577 1824 5552 -9986 2 2 1 3 3700 4605 5661 -9987 2 2 1 3 2319 2846 5311 -9988 2 2 1 3 403 404 5286 -9989 2 2 1 3 1976 415 5288 -9990 2 2 1 3 5186 4940 5308 -9991 2 2 1 3 540 539 4930 -9992 2 2 1 3 5248 3108 5313 -9993 2 2 1 3 890 887 4175 -9994 2 2 1 3 3071 1015 5218 -9995 2 2 1 3 4650 4651 5603 -9996 2 2 1 3 477 382 5116 -9997 2 2 1 3 5165 5452 5523 -9998 2 2 1 3 843 845 4660 -9999 2 2 1 3 2098 1691 5415 -10000 2 2 1 3 5866 4030 5910 -10001 2 2 1 3 5087 5421 5439 -10002 2 2 1 3 5595 4552 5612 -10003 2 2 1 3 539 589 4930 -10004 2 2 1 3 701 912 5095 -10005 2 2 1 3 1447 1272 5743 -10006 2 2 1 3 1417 5307 5502 -10007 2 2 1 3 1940 1549 5184 -10008 2 2 1 3 5569 1613 5576 -10009 2 2 1 3 1623 1784 4677 -10010 2 2 1 3 1634 2015 5068 -10011 2 2 1 3 1677 4909 5386 -10012 2 2 1 3 1766 2009 4482 -10013 2 2 1 3 1986 2238 5229 -10014 2 2 1 3 5147 2173 5409 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'tidalInlet/plot_results.py', + 'tidalInlet/generate_tidalinlet_mesh.py', + 'tidalInlet/bathymetry_utils.py', ] cwd = os.path.abspath(os.path.dirname(__file__)) diff --git a/thetis/options.py b/thetis/options.py index 6760d590f..21a565ca7 100644 --- a/thetis/options.py +++ b/thetis/options.py @@ -760,8 +760,8 @@ class CommonModelOptions(FrozenConfigurable): class SedimentModelOptions(FrozenHasTraits): # seime.turn on waves: wave_forcing = Bool(False, - help='Activate wave forcing. This implies providing the following wave parameters: orbital velocity, height, direction, frequency, and period.' - ).tag(config=True) + help='Activate wave forcing. This implies providing the following wave parameters: orbital velocity, height, direction, frequency, and period.' + ).tag(config=True) van_Rijn_bedload = Bool(False, help='Use van Rijn (2007) bedload formulation').tag(config=True) solve_exner = Bool(False, help='Solve exner equation for bed morphology').tag(config=True) solve_suspended_sediment = Bool(False, help='Solve suspended sediment transport equation').tag(config=True) @@ -951,13 +951,13 @@ class ModelOptions2d(CommonModelOptions): False, help="Enable wave-current interaction").tag(config=True) use_swan = Bool( False, help="Use SWAN's gradient of radiation stress").tag(config=True) - use_mellor = Bool( + use_mellor = Bool( False, help="Use Mellor's formulation for radiation stress").tag(config=True) use_roller = Bool( False, help="Add Roller effects").tag(config=True) use_monochromatic = Bool( False, help="Wave conditions are monochromatic").tag(config=True) - + def __init__(self, *args, **kwargs): self.tracer = OrderedDict() self.tracer_fields = OrderedDict() diff --git a/thetis/radiation_stress.py b/thetis/radiation_stress.py index c9a9053b0..f4f51fb44 100644 --- a/thetis/radiation_stress.py +++ b/thetis/radiation_stress.py @@ -1,6 +1,6 @@ from firedrake import * from .utility import * -import numpy as np + class clrtxt: purple = '\033[95m' @@ -19,6 +19,7 @@ class WaveEffectsOnCurrents(object): """ Calculates the effects of waves on currents """ + def __init__(self, mesh2d, solver_options, solver_fields): """ """ @@ -41,9 +42,8 @@ def __init__(self, mesh2d, solver_options, solver_fields): self.P1_2d = get_functionspace(self.mesh, "CG", 1) self.P1v_2d = VectorFunctionSpace(self.mesh, "CG", 1) - - def update(self, grad_rad_stress=None, l_wave=None, dir_wave = None, - h_wave=None, qb=None, c1=1.0): + def update(self, grad_rad_stress=None, l_wave=None, dir_wave=None, + h_wave=None, qb=None, c1=1.0): """ Update the wave effects on currents """ @@ -73,7 +73,6 @@ def update(self, grad_rad_stress=None, l_wave=None, dir_wave = None, if self.options.use_roller: self.roller_effects(l_wave, dir_wave, h_wave, qb) - def swan_results(self, grad_rad_stress): """ Not implemented yet. The plan is to use the already calculated SWAN's @@ -85,26 +84,23 @@ def swan_results(self, grad_rad_stress): Returns: """ - self.fields.rad_stress_2d.interpolate(Constant(1.)*grad_rad_stress) return - def mellor(self, l_wave, dir_wave, h_wave): - """ Use the formulation found in Mellor, G. (2015), "A combined derivation of the integrated and \ vertically resolved, coupled wave-current equations", Journal of \ Physical Oceanography 45(6), 1453-1463 - $ S_{ij} = E * ( c_g/c * k_i*k_j/k^2 + \delta_ij*(c_g/c - 0.5) ) $ + $ S_{ij} = E * ( c_g/c * k_i*k_j/k^2 + \\delta_ij*(c_g/c - 0.5) ) $ where E is the wave energy; c_g : the group velocity; c : the phase velocity; k : the wavenumber; - \delta_ij : the Kronecker delta function (=1 when i=j, else =0); + \\delta_ij : the Kronecker delta function (=1 when i=j, else =0); i,j : the x- or y-direction; S_ij : the vertically integrated radiation stress to calculate the gradient of radiation stress and update the relevant @@ -133,19 +129,19 @@ def mellor(self, l_wave, dir_wave, h_wave): # Calculate the wavenumber k = Function(self.P1_2d).interpolate(Constant(2*pi)/l_wave) - #Convert wave direction to radians + # Convert wave direction to radians dir_wave.interpolate(dir_wave*Constant(pi/180.)) # Angle theta = Function(self.P1_2d).interpolate(dir_wave) - ## Wavenumber components + # Wavenumber components # x-component kx = Function(self.P1_2d).interpolate(k*cos(theta)) # y-component ky = Function(self.P1_2d).interpolate(k*sin(theta)) - #Calculate the wave energy + # Calculate the wave energy if self.options.use_monochromatic: # From Kudale & Bhalerao (2015) : "Design wave height should be # average of the highest 1/10 of the waves, i.e. H_(1/10), instead @@ -156,22 +152,22 @@ def mellor(self, l_wave, dir_wave, h_wave): ) else: energy = Function(self.P1_2d).interpolate( - Constant( 1 / 8 ) * self.rho0 * self.g_grav * h_wave ** 2 + Constant(1 / 8) * self.rho0 * self.g_grav * h_wave ** 2 ) # Calculate total depth h_total = self.depth.get_total_depth(self.fields.elev_2d) - #Calculate the (wavenumber)*(total_depth) and apply limiter + # Calculate the (wavenumber)*(total_depth) and apply limiter kh = Function(self.P1_2d).interpolate( Min(k*h_total+Constant(10**(-14)), kh_max) ) - #Calculate (group velocity)/(phase velocity) + # Calculate (group velocity)/(phase velocity) n = Function(self.P1_2d).interpolate( Constant(0.5)+kh/sinh(Constant(2.)*kh) ) - #Calculate radiation stress + # Calculate radiation stress sxx = Function(self.P1_2d).interpolate( energy*(n*(kx**2/k**2+Constant(1.))-Constant(0.5)) ) @@ -180,21 +176,20 @@ def mellor(self, l_wave, dir_wave, h_wave): energy*(n*(ky**2/k**2+Constant(1.))-Constant(0.5)) ) - #Calculate gradient of radiation stress + # Calculate gradient of radiation stress sxx_dx = Function(self.P1_2d).interpolate(sxx.dx(0)) syy_dy = Function(self.P1_2d).interpolate(syy.dx(1)) sxy_dx = Function(self.P1_2d).interpolate(sxy.dx(0)) sxy_dy = Function(self.P1_2d).interpolate(sxy.dx(1)) - #Gradient of radiation stress components + # Gradient of radiation stress components s_x = Function(self.P1_2d).interpolate(-sxx_dx-sxy_dy) s_y = Function(self.P1_2d).interpolate(-syy_dy-sxy_dx) # Update field self.fields.rad_stress_2d.interpolate(as_vector([s_x, s_y])) - - return + return def roller_effects(self, l_wave, dir_wave, h_wave, qb): """ @@ -202,10 +197,10 @@ def roller_effects(self, l_wave, dir_wave, h_wave, qb): (1984) and Reniers & Battjes (1987): $ R_{ij} = 2 * E_r * k_i*k_j/k^2 $ where - $ E_r = \\rho * g * A_r * \sin{\phi} $ is the energy due to wave \ + $ E_r = \\rho * g * A_r * \\sin{\\phi} $ is the energy due to wave \ roller interface calculate according to Duncan (1981); $ A_r = 0.9 * H^2 $ is the roller area (Svendsen 1984); - $ \phi$ is the roller angle with $ \tan{phi} ~ 0.1 $ (Reniers & \ + $ \\phi$ is the roller angle with $ \tan{phi} ~ 0.1 $ (Reniers & \ Battjes 1997; Martins et al. 2018) $ k $ is the wavenumber; $ i, j$ are the $x-$ and $y-$direction respectively @@ -226,7 +221,7 @@ def roller_effects(self, l_wave, dir_wave, h_wave, qb): # Minimum wavelength [m] l_min = Constant(1.) # Maximum wavenumber*(total depth) - kh_max = Constant(5.) + # kh_max = Constant(5.) # Apply limiter in the wavelength l_wave.interpolate(Max(l_wave, l_min)) @@ -240,7 +235,7 @@ def roller_effects(self, l_wave, dir_wave, h_wave, qb): # Angle theta = Function(self.P1_2d).interpolate(dir_wave) - ## Wavenumber components + # Wavenumber components # x-component kx = Function(self.P1_2d).interpolate(k * cos(theta)) # y-component @@ -265,14 +260,14 @@ def roller_effects(self, l_wave, dir_wave, h_wave, qb): -self.rho0 * self.g_grav * A * sinb ) # Calculate total depth - h_total = self.depth.get_total_depth(self.fields.elev_2d) + # h_total = self.depth.get_total_depth(self.fields.elev_2d) # Calculate the (wavenumber)*(total_depth) and apply limiter - kh = Function(self.P1_2d).interpolate( - Min(k * h_total + Constant(10 ** (-14)), kh_max)) + # kh = Function(self.P1_2d).interpolate( + # Min(k * h_total + Constant(10 ** (-14)), kh_max)) # Calculate (group velocity)/(phase velocity) - n = Function(self.P1_2d).interpolate( - Constant(0.5) + kh / sinh(Constant(2.) * kh)) + # n = Function(self.P1_2d).interpolate( + # Constant(0.5) + kh / sinh(Constant(2.) * kh)) sxx = Function(self.P1_2d).interpolate( Constant(2) * roller_en * kx ** 2 / k ** 2 @@ -298,4 +293,3 @@ def roller_effects(self, l_wave, dir_wave, h_wave, qb): self.fields.roller_2d.interpolate(as_vector([s_x, s_y])) return - diff --git a/thetis/sediment_model.py b/thetis/sediment_model.py index 897a17d3e..8b16ee06a 100644 --- a/thetis/sediment_model.py +++ b/thetis/sediment_model.py @@ -57,10 +57,9 @@ def update(self): class SedimentModel(object): # def __init__(self, options, mesh2d, uv, elev, depth): - def __init__(self, options, mesh2d, uv, elev, depth, + def __init__(self, options, mesh2d, uv, elev, depth, uw=Constant(0), hs=Constant(0), wdir=Constant(0), fp=Constant(0), tm=Constant(0)): - # def __init__(self, options, mesh2d, uv, elev, depth, uw): - + # def __init__(self, options, mesh2d, uv, elev, depth, uw): """ Set up a full morphological model simulation based on provided velocity and elevation functions. @@ -97,11 +96,11 @@ def __init__(self, options, mesh2d, uv, elev, depth, self.use_wave_forcing = options.sediment_model_options.wave_forcing self.use_vanRijn_2007_bedload = options.sediment_model_options.van_Rijn_bedload - self.uw = uw # near-bed wave-orbital velocity magnitude [m/s] - self.fp = fp # peak wave frequency [s-1] - self.tm = tm # mean wave period [s] - self.wdir = wdir # wave direction [deg] - self.hs = hs # significant wave height [m] + self.uw = uw # near-bed wave-orbital velocity magnitude [m/s] + self.fp = fp # peak wave frequency [s-1] + self.tm = tm # mean wave period [s] + self.wdir = wdir # wave direction [deg] + self.hs = hs # significant wave height [m] # bedload transport constants, Van Rijn, 2007 self.eta = Constant(1.0) self.gamma = Constant(0.5) @@ -159,7 +158,7 @@ def __init__(self, options, mesh2d, uv, elev, depth, self.thetacr = Function(self.P1_2d).interpolate(conditional(self.dstar < 4, 0.24*(self.dstar**(-1)), conditional(self.dstar < 10, 0.14*(self.dstar**(-0.64)), conditional(self.dstar < 20, 0.04*(self.dstar**(-0.1)), - conditional(self.dstar < 150, 0.013*(self.dstar**(0.29)), 0.055))))) + conditional(self.dstar < 150, 0.013*(self.dstar**(0.29)), 0.055))))) # critical bed shear stress self.taucr = Function(self.P1_2d).interpolate((self.rhos-self.rhow)*self.g*self.average_size*self.thetacr) @@ -208,14 +207,14 @@ def __init__(self, options, mesh2d, uv, elev, depth, # Compute angle between waves and currents (converted to radians) CDIR = atan2(self.v, self.u)*180.0/pi - WDIR = (90.0 - self.wdir) # convert from meteo format (0deg North) to math system (0deg East) + WDIR = (90.0 - self.wdir) # convert from meteo format (0deg North) to math system (0deg East) # WDIR = self.wdir # smallest angular difference in degrees diff = abs(CDIR - WDIR) diff = min_value(diff, min_value(abs(180.0 - diff), 360.0 - diff)) - phase_shift = diff * pi/180.0 + # phase_shift = diff * pi/180.0 # the wave source file has weird wave direction pattern # so not using it for now. -> perhaps specify as option for sediments? # ustar_wc_norm = ustar_c**2 + ustar_w**2 + 2.*ustar_c*ustar_w * cos(phase_shift) @@ -263,7 +262,7 @@ def __init__(self, options, mesh2d, uv, elev, depth, if self.use_bedload: # calculate angle of flow - self.calfa = Function(self.P1_2d).interpolate(self.uv_cg[0]/sqrt(self.unorm)) #seime. consider waves dir and vel here + self.calfa = Function(self.P1_2d).interpolate(self.uv_cg[0]/sqrt(self.unorm)) # seime. consider waves dir and vel here self.salfa = Function(self.P1_2d).interpolate(self.uv_cg[1]/sqrt(self.unorm)) if self.use_angle_correction: @@ -348,8 +347,8 @@ def get_bedload_term(self, bathymetry): qb_total = slopecoef*phi*sqrt(self.g*self.R*self.average_size**3) if (self.use_vanRijn_2007_bedload): - tauprime = self.rhow * self.ustar**2 - qb_total = self.gamma * self.d_sand * self.dstar**(-0.3) * sqrt(tauprime/self.rhow) * ( (tauprime - self.taucr) / self.taucr )**self.eta + tauprime = self.rhow * self.ustar**2 + qb_total = self.gamma * self.d_sand * self.dstar**(-0.3) * sqrt(tauprime/self.rhow) * ((tauprime - self.taucr) / self.taucr)**self.eta # formulate bedload transport flux with correct angle depending on corrections implemented if self.use_angle_correction and self.use_secondary_current is False: diff --git a/thetis/shallowwater_eq.py b/thetis/shallowwater_eq.py index 07c8ff2dc..5b451b841 100644 --- a/thetis/shallowwater_eq.py +++ b/thetis/shallowwater_eq.py @@ -659,14 +659,13 @@ class GradRadStressTerm(ShallowWaterMomentumTerm): """ def residual(self, uv, eta, uv_old, eta_old, fields, fields_old, bnd_conditions=None): grad_rad_stress = fields_old.get('rad_stress_2d') - P1_2d = get_functionspace(self.mesh, "CG", 1) - eta0 = Function(P1_2d).assign(Constant(0.)) total_h = self.depth.get_total_depth(eta_old) f = 0 if grad_rad_stress is not None: f += dot(grad_rad_stress, self.u_test)/total_h/rho_0*self.dx return f + class WaveRollerTerm(ShallowWaterMomentumTerm): r""" Wind stress term, :math:`-\tau_w/(H \rho_0)` @@ -675,8 +674,6 @@ class WaveRollerTerm(ShallowWaterMomentumTerm): """ def residual(self, uv, eta, uv_old, eta_old, fields, fields_old, bnd_conditions=None): roller_stress = fields_old.get('roller_2d') - P1_2d = get_functionspace(self.mesh, "CG", 1) - eta0 = Function(P1_2d).assign(Constant(0.)) total_h = self.depth.get_total_depth(eta_old) f = 0 if roller_stress is not None: diff --git a/thetis/solver2d.py b/thetis/solver2d.py index 469b49235..9639ed502 100644 --- a/thetis/solver2d.py +++ b/thetis/solver2d.py @@ -406,17 +406,16 @@ def create_fields(self): use_wetting_and_drying=self.options.use_wetting_and_drying, wetting_and_drying_alpha=self.options.wetting_and_drying_alpha) self.fields.rad_stress_2d = Function(self.function_spaces.P1v_2d, - name='rad_stress_2d') + name='rad_stress_2d') self.fields.roller_2d = Function(self.function_spaces.P1v_2d, - name='roller_2d') - - self.fields.wave_height_2d = Function(self.function_spaces.P1_2d,name='wave_height_2d') - self.fields.wave_peak_freq_2d = Function(self.function_spaces.P1_2d,name='wave_peak_freq_2d') - self.fields.wave_dir_2d = Function(self.function_spaces.P1_2d,name='wave_dir_2d') - self.fields.wave_orbital_vel_2d = Function(self.function_spaces.P1_2d,name='wave_orbital_vel_2d') - self.fields.wave_mean_period_2d = Function(self.function_spaces.P1_2d,name='wave_mean_period_2d') - - + name='roller_2d') + + self.fields.wave_height_2d = Function(self.function_spaces.P1_2d, name='wave_height_2d') + self.fields.wave_peak_freq_2d = Function(self.function_spaces.P1_2d, name='wave_peak_freq_2d') + self.fields.wave_dir_2d = Function(self.function_spaces.P1_2d, name='wave_dir_2d') + self.fields.wave_orbital_vel_2d = Function(self.function_spaces.P1_2d, name='wave_orbital_vel_2d') + self.fields.wave_mean_period_2d = Function(self.function_spaces.P1_2d, name='wave_mean_period_2d') + # Add fields for shallow water modelling self.fields.solution_2d = Function(self.function_spaces.V_2d, name='solution_2d') uv_2d, elev_2d = self.fields.solution_2d.subfunctions # correct treatment of the split 2d functions @@ -518,7 +517,7 @@ def create_equations(self): sediment_options = self.options.sediment_model_options if sediment_options.solve_suspended_sediment or sediment_options.solve_exner: sediment_model_class = self.options.sediment_model_options.sediment_model_class - #seime.passing new fields into sediment model object + # seime.passing new fields into sediment model object self.sediment_model = sediment_model_class( self.options, self.mesh2d, uv_2d, elev_2d, self.depth, self.fields.wave_orbital_vel_2d, @@ -526,8 +525,8 @@ def create_equations(self): self.fields.wave_dir_2d, self.fields.wave_peak_freq_2d, self.fields.wave_mean_period_2d - ) - + ) + if sediment_options.solve_suspended_sediment: self.equations.sediment = sediment_eq_2d.SedimentEquation2D( self.function_spaces.Q_2d, self.depth, self.options, self.sediment_model, @@ -574,8 +573,8 @@ def get_swe_timestepper(self, integrator): 'atmospheric_pressure': self.options.atmospheric_pressure, 'momentum_source': self.options.momentum_source_2d, 'volume_source': self.options.volume_source_2d, - 'rad_stress_2d' : self.fields.rad_stress_2d, - "roller_2d" : self.fields.roller_2d, + 'rad_stress_2d': self.fields.rad_stress_2d, + "roller_2d": self.fields.roller_2d, "wave_height_2d": self.fields.wave_height_2d, "wave_peak_freq_2d": self.fields.wave_peak_freq_2d, "wave_dir_2d": self.fields.wave_dir_2d, @@ -591,7 +590,7 @@ def get_swe_timestepper(self, integrator): self.depth, options=self.options, tidal_farms=self.tidal_farms - + ) self.equations.mom.bnd_functions = bnd_conditions return integrator(self.equations.sw, self.equations.mom, self.fields.solution_2d, @@ -1170,142 +1169,3 @@ def create_iterator(self, update_forcings=None, export_func=None, adj_timesteppe export_func() return self.simulation_time - - - @PETSc.Log.EventDecorator("thetis.FlowSolver2d.iterate_coupled") - def iterate_coupled(self, update_forcings=None, - export_func=None): - """ - Runs the simulation - - Iterates over the time loop until time ``options.simulation_end_time`` is reached. - Exports fields to disk on ``options.simulation_export_time`` intervals. - - :kwarg update_forcings: User-defined function that takes simulation - time as an argument and updates time-dependent boundary conditions - (if any). - :kwarg export_func: User-defined function (with no arguments) that will - be called on every export. - """ - # if not self._initialized: - # self.initialize() - - self.options.use_limiter_for_tracers &= self.options.polynomial_degree > 0 - - t_epsilon = 1.0e-5 - cputimestamp = time_mod.perf_counter() - next_export_t = (self.simulation_time//self.options.simulation_export_time + 1) * self.options.simulation_export_time - - initial_simulation_time = self.simulation_time - internal_iteration = 0 - - while self.simulation_time <= self.options.simulation_end_time - t_epsilon: - self.timestepper.advance(self.simulation_time, update_forcings) - - # Move to next time step - self.iteration += 1 - internal_iteration += 1 - self.simulation_time = initial_simulation_time + internal_iteration * self.dt - - self.callbacks.evaluate(mode='timestep') - - # Write the solution to file - if self.simulation_time >= next_export_t - t_epsilon: - self.i_export += 1 - next_export_t += self.options.simulation_export_time - - cputime = time_mod.perf_counter() - cputimestamp - cputimestamp = time_mod.perf_counter() - self.print_state(cputime) - - self.export() - if export_func is not None: - export_func() - - - @PETSc.Log.EventDecorator("thetis.FlowSolver2d.t0_coupled") - def t0_coupled(self, - export_func=None): - """ - Runs the simulation - - Iterates over the time loop until time ``options.simulation_end_time`` is reached. - Exports fields to disk on ``options.simulation_export_time`` intervals. - - :kwarg update_forcings: User-defined function that takes simulation - time as an argument and updates time-dependent boundary conditions - (if any). - :kwarg export_func: User-defined function (with no arguments) that will - be called on every export. - """ - # TODO I think export function is obsolete as callbacks are in place - if not self._initialized: - self.initialize() - - self.options.use_limiter_for_tracers &= self.options.polynomial_degree > 0 - - t_epsilon = 1.0e-5 - cputimestamp = time_mod.perf_counter() - next_export_t = (self.simulation_time // self.options.simulation_export_time + 1) * self.options.simulation_export_time - - dump_hdf5 = self.options.export_diagnostics and not self.options.no_exports - if self.options.check_volume_conservation_2d: - c = callback.VolumeConservation2DCallback(self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - self.add_callback(c) - - if self.options.check_tracer_conservation: - for label, tracer in self.options.tracer.items(): - if tracer.use_conservative_form: - c = callback.ConservativeTracerMassConservation2DCallback( - label, - self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - else: - c = callback.TracerMassConservation2DCallback(label, - self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - self.add_callback(c, eval_interval='export') - if self.options.sediment_model_options.check_sediment_conservation: - if self.options.sediment_model_options.use_sediment_conservative_form: - c = callback.ConservativeTracerMassConservation2DCallback( - 'sediment_2d', - self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - else: - c = callback.TracerMassConservation2DCallback('sediment_2d', - self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - self.add_callback(c, eval_interval='export') - - if self.options.check_tracer_overshoot: - for label in self.options.tracer: - c = callback.TracerOvershootCallBack(label, - self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - self.add_callback(c, eval_interval='export') - if self.options.sediment_model_options.check_sediment_overshoot: - c = callback.TracerOvershootCallBack('sediment_2d', - self, - export_to_hdf5=dump_hdf5, - append_to_log=True) - self.add_callback(c, eval_interval='export') - - initial_simulation_time = self.simulation_time - internal_iteration = 0 - - # Initial export - self.print_state(0.0, print_header=True) - self.callbacks.evaluate(mode='timestep') - if self.export_initial_state: - self.export() - if export_func is not None: - export_func() - if 'vtk' in self.exporters and isinstance(self.fields.bathymetry_2d, Function): - self.exporters['vtk'].export_bathymetry(self.fields.bathymetry_2d) From ad1b76ac1e8a0770122ec19886319f2e97a9d260 Mon Sep 17 00:00:00 2001 From: seimurs Date: Thu, 11 Jun 2026 13:55:18 +0200 Subject: [PATCH 4/6] README file with experiment details + wave field reconstruction example with template files --- examples/tidalInlet/README.md | 221 + examples/tidalInlet/bathymetry_utils.py | 0 examples/tidalInlet/inlet.py | 39 +- .../{ => mesh}/generate_tidalinlet_mesh.py | 0 .../tidalInlet/{ => mesh}/inlet_v1_4.1.msh | 0 examples/tidalInlet/plot_results.py | 7 +- .../tidalInlet/waves/gen_ww3_bc_spectra.py | 400 + .../tidalInlet/waves/harmonics/ww3_bounc.inp | 18 + examples/tidalInlet/waves/switch_tidalinlet | 1 + examples/tidalInlet/waves/tidalinlet.msh | 14856 ++++++++++++++++ examples/tidalInlet/waves/ww3_bounc.inp | 15 + examples/tidalInlet/waves/ww3_grid.inp | 136 + examples/tidalInlet/waves/ww3_ounf.inp | 49 + examples/tidalInlet/waves/ww3_shel.inp | 30 + .../tidalInlet/{ => waves}/ww3inlet9mc_12h.nc | Bin test/examples/test_examples.py | 3 +- 16 files changed, 15747 insertions(+), 28 deletions(-) create mode 100644 examples/tidalInlet/README.md mode change 100644 => 100755 examples/tidalInlet/bathymetry_utils.py rename examples/tidalInlet/{ => mesh}/generate_tidalinlet_mesh.py (100%) mode change 100644 => 100755 rename examples/tidalInlet/{ => mesh}/inlet_v1_4.1.msh (100%) create mode 100755 examples/tidalInlet/waves/gen_ww3_bc_spectra.py create mode 100644 examples/tidalInlet/waves/harmonics/ww3_bounc.inp create mode 100644 examples/tidalInlet/waves/switch_tidalinlet create mode 100644 examples/tidalInlet/waves/tidalinlet.msh create mode 100644 examples/tidalInlet/waves/ww3_bounc.inp create mode 100644 examples/tidalInlet/waves/ww3_grid.inp create mode 100644 examples/tidalInlet/waves/ww3_ounf.inp create mode 100644 examples/tidalInlet/waves/ww3_shel.inp rename examples/tidalInlet/{ => waves}/ww3inlet9mc_12h.nc (100%) diff --git a/examples/tidalInlet/README.md b/examples/tidalInlet/README.md new file mode 100644 index 000000000..60402cd32 --- /dev/null +++ b/examples/tidalInlet/README.md @@ -0,0 +1,221 @@ +# Tidal Inlet + +This example reproduces the idealised **tidal inlet** test case of +[Warner et al. (2008)](https://doi.org/10.1016/j.cageo.2008.02.012) (also used in other studies, e.g. [Wu et al., 2011](https://doi.org/10.1007/s11802-011-1788-3); [Bosboom et al., 2020](https://doi.org/10.1016/j.coastaleng.2020.103662)) and uses it +to demonstrate **combined wave–current sediment transport** in Thetis. In +particular, it exercises the [Van Rijn (2007)](https://doi.org/10.1061/(ASCE)0733-9429(2007)133:6(649)) +intra-wave bedload formulation for combined wave–current flows, together with +radiation-stress (wave excess-momentum) forcing in the shallow-water momentum +equations. + +The waves themselves are not solved by Thetis, but are pre-computed offline +with the **WAVEWATCH III (WW3)** spectral wave model and supplied to Thetis as a +time series of wave fields on the same mesh. A ready-to-use forcing file +(`ww3inlet9mc_12h.nc` with 4 records only) is shipped with the example, and the rest +explains how to regenerate it from scratch if need to change the wave +conditions or run a different experiment. + +## The experiment + +The domain is a rectangular basin **15 km wide × 14 km long**. A thin +land barrier runs across the middle of the domain and is cut by a single +narrow **inlet channel** (of 2 km wide). The barrier separates an open-ocean +region from a shallow basin, and water exchanges between the two +only through the inlet — the classic geometry for studying ebb/flood deltas and +inlet morphodynamics. + +- **Bathymetry** (see `bathymetry_utils.py`): a flat 4 m shelf over the inner + basin (`y ≤ 6800 m`) that ramps linearly down to 15 m at the open boundary + (`y = 14000 m`) at the northern end. +- **Tidal forcing**: a single semi-diurnal (M2-like) constituent imposed as an + elevation boundary condition at the open ocean boundary + (amplitude ≈ 1 m, period 12 h). +- **Wave forcing**: significant wave height, peak frequency, mean period, + direction, near-bed orbital velocity and the radiation-stress tensor, read + from the WW3 output and interpolated in time at every Thetis step. +- **Sediment transport**: suspended load + bedload with bed evolution (Exner), + using the Van Rijn (2007) bedload closure so that the waves actively reshape + the inlet and its deltas. + +The mesh (`inlet_v1_4.1.msh`, Gmsh format 4.1, 5079 nodes) carries +physical groups that Thetis can use for boundary conditioning: +`openboundary` (tag 2) - north edge, `coastline` (tag 3) and `Fluid_Domain` (tag 1). + +## Files in this example + +| File | Purpose | +| ------------------------------- | -------------------------------------------------------------------------------- | +| `inlet.py` | Main Thetis runner: bathymetry, tide, wave forcing, sediment model and time loop | +| `bathymetry_utils.py` | Analytical Warner et al. (2008) bathymetry profile | +| `generate_tidalinlet_mesh.py` | Builds `inlet_v1_4.1.msh` with Gmsh (run only if the mesh is missing) | +| `plot_results.py` | Post-processing / visualisation of the output results | +| `inlet_v1_4.1.msh` | The computational mesh. | +| `ww3inlet9mc_12h.nc` | Pre-computed WW3 wave forcing read by `inlet.py` | + +## Running the Thetis simulation + +If the mesh is not present, generate it first (requires `gmsh`): + +```bash +python generate_tidalinlet_mesh.py +``` + +Then run the model (in parallel with MPI, or drop `mpirun` for serial): + +```bash +mpirun -n 4 python inlet.py +python plot_results.py +``` + +By default `inlet.py` reads the bundled `ww3inlet9mc_12h.nc`. To use your own +wave forcing, point the `ww3waves` variable near the top of `inlet.py` at the +NetCDF file you produced with the workflow below or by any other approach reproducing wave fields (e.g. SWAN)) + +--- + +## Reproducing the WW3 wave dataset + +The wave forcing is generated with **WAVEWATCH III v6.07.1**. The whole process +is: build the model -> generate boundary spectra -> run the WW3 +pre-processors, solver, and then post-process and concatenate the output into a +single NetCDF file that Thetis reads. + +### 1. Build WW3 v6.07.1 + +Download the source from the official release: +[https://github.com/NOAA-EMC/WW3/releases/tag/6.07.1](https://github.com/NOAA-EMC/WW3/releases/tag/6.07.1). + +WW3 is configured through a **switch file** (the physics/parallelism namelist). +Create `model/bin/switch_tidalinlet` containing exactly: + +``` +F90 NOGRB NC4 DIST MPI PR3 UQ FLX0 LN1 ST0 NL0 BT1 DB1 TR0 BS0 IC0 IS0 REF0 XX0 WNT1 WNX1 CRT1 CRX1 TRKNC O0 O1 O2 O4 O5 O6 O7 +``` + +The important choices here are `NC4` (NetCDF output, required by the +pre/post-processors), `MPI`/`DIST` (parallel build), and the unstructured-grid +propagation scheme (`PR3 UQ`). `ST0 NL0 REF0` switch the source terms off for a +clean, prescribed-spectrum boundary experiment; use e.g. `ST4 NL1 REF1` if need +to activate wind input, nonlinear interactions and reflection, and more (see WW3 manual) + +From `model/bin`, build with the standard WW3 helper scripts: + +```bash +cd WW3/model/bin +./w3_clean # clean-up, only if a previous build exists +./w3_setup -c Gnu -s tidalinlet ../ # compiler = Gnu, switch = tidalinlet +./w3_automake # compiles the dependency libs + executables +``` + +After a successful build the executables (`ww3_grid`, `ww3_bounc`, `ww3_shel`, +`ww3_ounf`, …) are generated in `model/exe`, and templates `.inp` can be found +in `model/inp`. + +> Compiler/MPI/NetCDF paths are platform specific. Use whatever Fortran +> compiler key the machine requires (`-c Gnu`, `-c Intel`, …) ensuring a +> NetCDF-enabled `mpif90` is on the `PATH` before running `w3_automake`. + +### 2. Generate the boundary spectra + +The open-boundary forcing is a set of per-node JONSWAP directional spectra +written in WW3 BOUNC NetCDF format by `gen_ww3_bc_spectra.py` (in the `waves/` +directory of the case): + +```bash +python gen_ww3_bc_spectra.py +``` + +This writes one `id__spec.nc` file per boundary point into `harmonics/`, +plus a matching `ww3_bounc.inp` that lists them. Edit the configuration block at +the bottom of the script to change the number of spectra, the significant wave +height / peak period, the mean direction, or to switch on a tidal modulation of +the wave height (`TIDAL_SIGNAL = True`). Make sure that the resulting wave direction is southward. + +> **Mesh format note:** WW3 v6.07.1 reads Gmsh **v2.2** meshes, whereas Thetis +> uses the v4.1 mesh in this experiment. Export/convert the mesh to v2.2 for the WW3 grid step +> (e.g. open in Gmsh → *Export* → *Version 2 ASCII*). The boundary node IDs +> listed in `ww3_grid.inp` correspond to this v2.2 mesh (manually extracted using Blender/Gmsh node ids) + +### 3. Set up a run directory + +Create a run folder (e.g. `examples/tidalInlet/waves/runner`) and copy the four input +templates into it, alongside the v2.2 mesh and the `harmonics/` spectra: + +``` +waves/ +├── runner/ +│ ├── ww3_grid.inp # grid + boundary-point definition +│ ├── ww3_bounc.inp # assembles the spectra into the nest file +│ ├── ww3_shel.inp # run controls (times, output fields) +│ ├── ww3_ounf.inp # NetCDF field post-processing +│ └── tidalinlet.msh # v2.2 mesh referenced by ww3_grid.inp +└── harmonics/ # id_*_spec.nc produced in step 2 +``` + +`ww3_bounc.inp` references the spectra as `../harmonics/id_*_spec.nc`, so run the +WW3 executables from inside `runner/`. Ready-to-edit copies of all four `.inp` +files are provided with the case under `waves/runner/`. + +### 4. Run the WW3 workflow + +From the run directory, execute the steps in order (assuming the `exe/` folder +is on your `PATH`, or call the binaries by full path): + +```bash +# 1. Build the model-definition file (grid, spectral discretisation, BC points) +ww3_grid # -> mod_def.ww3 + +# 2. Process the boundary spectra into the nesting file +ww3_bounc # -> nest.ww3 + # ensure that ww3_bounc.inp path to spectral files is correct relative to running directory + +# 3. Run the wave model (parallel) +mpirun -n 4 ww3_shel # ...or simply `ww3_shel` for a serial run + # -> out_grd.ww3, restart*.ww3, log.ww3 + +# 4. Convert the gridded output to NetCDF +ww3_ounf # -> ww3.YYYYMMDD.nc (one file per output day - this format + # is defined in ww3_ounf.inp) +``` + +`ww3_shel.inp` controls the simulated period, time step and the list of output +fields. For this case it requests +`SXY HS DIR T01 T02 UBR FP DEP` — i.e. the radiation-stress tensor, significant +wave height, direction, mean periods, near-bed orbital velocity, peak frequency +and depth, which provide necessary fields for `inlet.py` needs. + +### 5. Concatenate and supply to Thetis + +`If ww3_ounf` writes one NetCDF file per day (`ww3.20180101.nc`, `ww3.20180102.nc`, +…). Merge them along the time axis into a single file with +[NCO](https://nco.sourceforge.net/)'s `ncrcat`: + +```bash +ncrcat -h ww3.2018010*.nc ww3inlet.nc +``` + +Finally, point the `ww3waves` variable in `inlet.py` at the resulting file and +re-run the Thetis simulation. The KD-tree node matching in `inlet.py` maps the +WW3 fields onto the Thetis mesh automatically, so no further alignment is +needed. + +## References + +1. Warner, J.C., Sherwood, C.R., Signell, R.P., Harris, C.K., Arango, H.G. + (2008). *Development of a three-dimensional, regional, coupled wave, + current, and sediment-transport model.* Computers & Geosciences, 34(10), + 1284–1306. [https://doi.org/10.1016/j.cageo.2008.02.012](https://doi.org/10.1016/j.cageo.2008.02.012) +2. van Rijn, L.C. (2007). *Unified View of Sediment Transport by Currents and + Waves. II: Suspended Transport.* Journal of Hydraulic Engineering, 133(6), + 649–667. [https://doi.org/10.1061/(ASCE)0733-9429(2007)133:6(649)](https://doi.org/10.1061/(ASCE)0733-9429(2007)133:6(649)) +3. The WAVEWATCH III® Development Group (2019). *User manual and system + documentation of WAVEWATCH III version 6.07.* NOAA/NWS/NCEP/MMAB. + [https://github.com/NOAA-EMC/WW3/releases/tag/6.07.1](https://github.com/NOAA-EMC/WW3/releases/tag/6.07.1) +4. Wu, L., Chen, C., Guo, P., Shi, M., Qi, J., and Ge, J. (2011). *A FVCOM-based + unstructured grid wave, current, sediment transport model, I. Model description + and validation.* Journal of Ocean University of China, 10, 1–8. + [https://doi.org/10.1007/s11802-011-1788-3](https://doi.org/10.1007/s11802-011-1788-3) +5. Bosboom, J., Mol, M., Reniers, A., Stive, M., and de Valk, C. (2020). *Optimal + sediment transport for morphodynamic model validation.* Coastal Engineering, + 158, 103662. + [https://doi.org/10.1016/j.coastaleng.2020.103662](https://doi.org/10.1016/j.coastaleng.2020.103662) diff --git a/examples/tidalInlet/bathymetry_utils.py b/examples/tidalInlet/bathymetry_utils.py old mode 100644 new mode 100755 diff --git a/examples/tidalInlet/inlet.py b/examples/tidalInlet/inlet.py index 90c603f03..f95159167 100755 --- a/examples/tidalInlet/inlet.py +++ b/examples/tidalInlet/inlet.py @@ -17,14 +17,13 @@ Reusults visualization: python plot_results.py - If the mesh file is not present, run (required gmsh): + If the mesh file is not present, run (requires gmsh): python generate_tidalinlet_mesh.py -> export in 4.1 .msh format to handle physical groups (default save format) If wave frocing is not present, or a different wave forcing is desired, the WW3 model can be set-up and run using v6.07.1 version: [https://github.com/NOAA-EMC/WW3/releases/tag/6.07.1] - - requirements: switch file (physics namelist) with the following settings: + see README.md for details on how to set up and run the wave model. @@ -50,8 +49,9 @@ # turn OFF reverse Cuthill-McKee reordering to optimize mesh inside Firedrake # parameters["reorder_meshes"] = False - +# --------------------------------------------- # FUNCTIONS: +# --------------------------------------------- def interpolate_at_dt(wavefield, time_array, dt_seconds): """ linearly interpolates wave fields to a time step given in seconds @@ -88,18 +88,17 @@ def interpolate_at_dt(wavefield, time_array, dt_seconds): wavefield_interp = (1 - w) * wavefield[idx_before] + w * wavefield[idx_after] return wavefield_interp - +# --------------------------------------------- # MESH # --------------------------------------------- -# mesh2dfile = './inlet_v1_2.2.msh' -mesh2dfile = 'inlet_v1_4.1.msh' +mesh2dfile = './mesh/inlet_v1_4.1.msh' mesh2d = Mesh(mesh2dfile) # define function spaces P1_2d = FunctionSpace(mesh2d, 'CG', 1) vectorP1_2d = VectorFunctionSpace(mesh2d, 'DG', 1) - +# --------------------------------------------- # BATHYMETRY # --------------------------------------------- # Replicates the Warner et al. (2008) tidal inlet profile: @@ -107,9 +106,10 @@ def interpolate_at_dt(wavefield, time_array, dt_seconds): bathymetry_2d = Function(P1_2d, name='Bathymetry') bathymetry_2d.dat.data[:] = generate_bathymetry(mesh2d, P1_2d).dat.data[:] +# --------------------------------------------- # Wave Fields # --------------------------------------------- -ww3waves = 'ww3inlet9mc_12h.nc' +ww3waves = './waves/ww3inlet9mc_12h.nc' # pre-generated wave forcing file from ww3 _ds = nc.Dataset(ww3waves) # Extract coordinates and variables as plain numpy arrays @@ -193,24 +193,16 @@ def update_wave_forcing(t_new, P1_2d, solver_obj): # return rad_stress_2d return - +# --------------------------------------------- # TIMING # --------------------------------------------- # Simulation window: timestep = 20 # -> time-stepping (if not adaptive) t_end = 3600 * 48 # -> total run time in sec.: 2 days -t_export = 600 # -> export interval in sec: every 10min - - -# Copied from other test cases, perhaps not needed here -if os.getenv('THETIS_REGRESSION_TEST') is not None: - # when run as a pytest test, only run 5 timesteps - # and test the gradient - t_end = 5*timestep - -print(t_end) - +# t_export = 600 # -> export interval in sec (every 10 min) +t_export = 3600 # -> export interval in sec +# --------------------------------------------- # Solver # --------------------------------------------- outputdir = f'outputs_sed_{t_export}s' @@ -249,8 +241,9 @@ def update_wave_forcing(t_new, P1_2d, solver_obj): if hasattr(options.swe_timestepper_options, 'use_automatic_timestep'): options.swe_timestepper_options.use_automatic_timestep = True -# options.swe_timestepper_options.use_semi_implicit_linearization = False # this is forbidden if automatic timestepper = True +# options.swe_timestepper_options.use_semi_implicit_linearization = False # forbidden if automatic timestepper = True +# --------------------------------------------- # Chose (uncomment) only one of the following friction formulations: # --------------------------------------------- # # Manning drag coeff: @@ -337,7 +330,7 @@ def update_forcings(t_new,): # Define the boundary conditions for the SWE # --------------------------------------------- # boundary condtitions are defined for each external boundary using their ID. -# Ids taken as physical groups from mesh - predefined in gmsh +# Ids taken as physical groups from mesh - predefined in gmsh v4.1 openboundary = 2 coastline = 3 domain_surf = 1 diff --git a/examples/tidalInlet/generate_tidalinlet_mesh.py b/examples/tidalInlet/mesh/generate_tidalinlet_mesh.py old mode 100644 new mode 100755 similarity index 100% rename from examples/tidalInlet/generate_tidalinlet_mesh.py rename to examples/tidalInlet/mesh/generate_tidalinlet_mesh.py diff --git a/examples/tidalInlet/inlet_v1_4.1.msh b/examples/tidalInlet/mesh/inlet_v1_4.1.msh similarity index 100% rename from examples/tidalInlet/inlet_v1_4.1.msh rename to examples/tidalInlet/mesh/inlet_v1_4.1.msh diff --git a/examples/tidalInlet/plot_results.py b/examples/tidalInlet/plot_results.py index a2c5d3fec..caed28534 100755 --- a/examples/tidalInlet/plot_results.py +++ b/examples/tidalInlet/plot_results.py @@ -244,8 +244,7 @@ def to_km(x, pos): LAST_FRAME = True # - output files: -coredirout = './outputs_sed' -coredirout = './outputs_sed_600s_bkp' +coredirout = './outputs_sed_3600s' # - color map settings trunc_cmap_min = 0.1 @@ -254,9 +253,9 @@ def to_km(x, pos): # - bar plot sections - NUM_CBARS = 20 -# - extension for file reading +# - extension for file reading # CHANGE ME DEPENDING ON THE OUTPUT TYPE (single-core = .vtu, multi-core = .pvtu) extension = 'vtu' # for single core -extension = 'pvtu' # for multi-core +# extension = 'pvtu' # for multi-core # - figure params # COLORMAP_NAME = 'cet_rainbow4' diff --git a/examples/tidalInlet/waves/gen_ww3_bc_spectra.py b/examples/tidalInlet/waves/gen_ww3_bc_spectra.py new file mode 100755 index 000000000..b635e7255 --- /dev/null +++ b/examples/tidalInlet/waves/gen_ww3_bc_spectra.py @@ -0,0 +1,400 @@ +""" +gen_ww3_bc_spectra_simple.py +======================== +Generate N identical WW3 BOUNC spectral boundary-condition files plus the +matching ww3_bounc.inp, using Hasselmann et al., 1973 JONSWAP directional spectra + +Note: + set N_POINTS to the number of spectral files to generate. + Every file carries the same JONSWAP spectrum, so WW3 (ww3_bounc) maps the open-boundary points defined + in ww3_grid.inp onto these files by nearest-neighbour. + BC nodes in ww3_grid.inp are set manually based on the mesh boundary nodes selected + WW3 v6071 is run on .msh v2.2 (v4.1 must be converted to v2.2 for WW3 compatibility, e.g. gmsh -> export -> v2.2) + +Usage: + python gen_ww3_bc_spectra_simple.py +""" + +import os +import glob +import numpy as np +import pandas +import netCDF4 as nc +from datetime import datetime + + +# --------------- +# JONSWAP directional spectrum +# --------------- + +class JONSWAP: + """ + JONSWAP directional wave spectrum (Hasselmann et al., 1973). + + Parameters + ---------- + hs : significant wave height [m] + tp : peak period [s] + direction : mean wave direction [deg, meteorological convention] + ndir : number of directional bins + freqs : 1-D array of frequency bins [Hz] + gamma : peak-enhancement factor (default 3.3) + """ + + def __init__(self, hs, tp, direction, ndir, freqs, gamma=3.3): + self.hs, self.tp, self.dir = hs, tp, direction + self.ndir, self.freqs, self.gamma = ndir, freqs, gamma + + def _energy(self): + """1-D JONSWAP energy density spectrum [m² s].""" + fp = 1.0 / self.tp + fp4 = fp ** 4 + alpha = (self.hs**2 * fp4) / \ + ((0.06533 * (self.gamma**0.8015 + 0.13467)) * 16) + spec = [] + for f in self.freqs: + cpshap = 1.25 * fp4 / f**4 + ra = 0.0 if cpshap > 10 else (alpha / f**5) * np.exp(-cpshap) + sigma = 0.07 if f <= fp else 0.09 + apshap = 0.5 * ((f - fp) / (sigma * fp)) ** 2 + syf = 1.0 if apshap > 10 else self.hs ** np.exp(-apshap) + spec.append(syf * ra / (2 * np.pi * f)) + return np.array(spec) + + def _ln_gamma(self, val): + """Log-Gamma via Lanczos approximation.""" + coefs = [76.18009173, -86.50532033, 24.01409822, + -1.231739516, 0.120858003e-2, -0.536382e-5] + fpf = 4.5 + tmp = (val + 0.5 + fpf) * np.log(val + fpf) - (val + fpf) + ser = 1.0 + for c in coefs: + ser += c / val + val += 1 + return tmp + np.log(2.50662827465 * ser) + + def _gamma(self, val): + return np.exp(np.clip(self._ln_gamma(val), -30, 30)) + + def compute(self): + """ + Full 2-D directional JONSWAP spectrum. + + Returns + ------- + energy : (nfreq,) 1-D energy density [m² s] + dirspec : (ndir, nfreq) directional spectrum [m² s rad⁻¹] + """ + energy = self._energy() + dirs = [np.pi * i / 180 for i in np.arange(0, 360, 360.0 / self.ndir)] + rad = np.pi * self.dir / 180 + dir_spread = 360.0 / self.ndir + + if dir_spread < 12: + ctot = (2.0**dir_spread) * self._gamma(0.5 * dir_spread + 1.0)**2 \ + / (np.pi * self._gamma(dir_spread + 1.0)) + else: + ctot = np.sqrt(0.5 * dir_spread / np.pi) / \ + (1.0 - 0.25 / dir_spread) + + dirspec = [] + for d in dirs: + acos = np.cos(d - rad) + cdir = ctot * np.clip(acos**dir_spread, 1.e-10, + None) if acos > 0 else 0.0 + dirspec.extend(cdir * e for e in energy) + + return energy, np.array(dirspec).reshape(self.ndir, len(self.freqs)) + + +# --------------- +# Frequency / direction grid helpers +# --------------- + +def get_freqs(f_min, n_freq, ratio): + """Geometric frequency sequence of length n_freq starting at f_min.""" + freqs, f = [], f_min + for _ in range(n_freq): + freqs.append(f) + f *= ratio + return np.array(freqs) + + +def get_dirs(n_dir): + """Uniformly-spaced directional bin centres [deg, 0–360).""" + return np.arange(0, 360, 360.0 / n_dir) + + +# --------------- +# WW3 BOUNC netCDF I/O +# --------------- + +def _make_bc_dataset(path, times, station_id, freqs, dirs, spherical=True): + """ + Create an open netCDF4 Dataset pre-configured for WW3 BOUNC format. + Caller fills per-timestep data fields and then calls ds.close(). + """ + ds = nc.Dataset(path, 'w', format='NETCDF4') + for dim, size in [('time', len(times)), ('station', 1), + ('frequency', len(freqs)), ('direction', len(dirs)), + ('string16', 16)]: + ds.createDimension(dim, size) + + # time + epoch = datetime.fromtimestamp(0) + tv = ds.createVariable('time', 'f8', ('time',)) + tv[:] = [(datetime.strptime(str(t)[:19], '%Y-%m-%dT%H:%M:%S') - epoch).total_seconds() + for t in times.values] + tv.setncatts({'units': 'seconds since 1970-01-01 00:00:00.0', 'calendar': 'gregorian', + 'long_name': 'time', 'standard_name': 'time', 'axis': 'T'}) + + # frequency + fv = ds.createVariable('frequency', 'f4', ('frequency',)) + fv[:] = freqs + fv.setncatts({'units': 's-1', 'long_name': 'frequency of center band', + 'standard_name': 'sea_surface_wave_frequency', 'globwave_name': 'frequency', + 'valid_min': 0., 'valid_max': 10., 'axis': 'Y'}) + + # direction + dv = ds.createVariable('direction', 'f4', ('direction',)) + dv[:] = dirs + dv.setncatts({'units': 'degree', 'long_name': 'sea surface wave to direction', + 'standard_name': 'sea surface wave to direction', 'globwave_name': 'direction', + 'valid_min': 0., 'valid_max': 360., 'axis': 'Z'}) + + # station + sv = ds.createVariable('station', 'i4', ('station',)) + sv[:] = [int(station_id)] + sv.setncatts({'long_name': 'station id', 'axis': 'X'}) + + # spatial position + xy = ('time', 'station') + if spherical: + xv = ds.createVariable('longitude', 'f4', xy) + yv = ds.createVariable('latitude', 'f4', xy) + xv.setncatts({'units': 'degree_east', 'long_name': 'longitude', + 'standard_name': 'longitude', 'valid_min': -180., 'valid_max': 180., + 'content': 'TX', 'associates': 'time'}) + yv.setncatts({'units': 'degree_north', 'long_name': 'latitude', + 'standard_name': 'latitude', 'valid_min': -90., 'valid_max': 90., + 'content': 'TY', 'associates': 'time'}) + else: + xv = ds.createVariable('x', 'f4', xy) + yv = ds.createVariable('y', 'f4', xy) + xv.setncatts({'units': 'meters', 'long_name': 'x', 'standard_name': 'x', + 'valid_min': 0., 'valid_max': 1000000., 'content': 'TX', + 'associates': 'time'}) + yv.setncatts({'units': 'meters', 'long_name': 'y', 'standard_name': 'y', + 'valid_min': 0., 'valid_max': 1000000., 'content': 'TY', + 'associates': 'time'}) + + # auxiliary forcing + aux = [ + ('depth', 'm', 'depth', 'depth', 0., 10000.), + ('u10m', 'm s-1', 'wind speed at 10m', 'wind speed ', 0., 100.), + ('udir', 'degree', 'wind direction', 'wind_from_direction', 0., 360.), + ('curr', 'm s-1', 'sea water speed', 'sea_water_speed', 0., 100.), + ('currdir', 'degree', 'direction from of sea water velocity', + 'direction_of_sea_water_velocity', 0., 360.), + ] + for vname, units, lname, sname, vmin, vmax in aux: + v = ds.createVariable(vname, 'f4', xy) + v.setncatts({'units': units, 'long_name': lname, 'standard_name': sname, + 'globwave_name': sname, 'valid_min': vmin, 'valid_max': vmax, + 'scale_factor': 1., 'add_offset': 0., 'content': 'TX', + 'associates': 'time station'}) + ds['curr'][:] = 0.0 + ds['currdir'][:] = 0.0 + + # directional variance spectral density + ef = ds.createVariable( + 'efth', + 'f8', + ('time', + 'station', + 'frequency', + 'direction')) + ef.setncatts({'units': 'm2 s rad-1', + 'long_name': 'sea surface wave directional variance spectral density', + 'standard_name': 'sea surface wave directional variance spectral density', + 'globwave_name': 'directional_variance_spectral_density', + 'valid_min': 0., 'valid_max': 1.e+20, 'scale_factor': 1., 'add_offset': 0., + 'content': '', 'associates': 'time frequency direction', 'axis': 'TXYZ'}) + + # WW3 string metadata + sn = ds.createVariable('station_name', 'str', ('station', 'string16')) + sn.setncatts({'long_name': 'station name', 'content': 'XW', + 'associates': 'station string16'}) + st = ds.createVariable('string16', 'i4', ('string16',)) + st.setncatts( + {'long_name': 'station_name number of characters', 'axis': 'W'}) + st[:] = str(station_id) + + return ds, xv, yv + + +def write_point_bc(x, y, depth, times, hs, tp, direction, + w_speed, w_dir, n_dir, freqs, point_name, outpath, spherical=True): + """ + Generate and write a single boundary-point JONSWAP spectral netCDF file. + + The spectrum is computed per timestep, normalised so 4·√m0 = Hs exactly, + and written in WW3 BOUNC format (efth shape: time × station × freq × dir). + """ + outfile = os.path.join(outpath, f'id_{point_name}_spec.nc') + dirs = get_dirs(n_dir) + ds, xv, yv = _make_bc_dataset( + outfile, times, point_name, freqs, dirs, spherical) + + hs_arr = np.full( + len(times), + hs, + dtype=float) if np.isscalar(hs) else np.asarray( + hs, + dtype=float) + tp_arr = np.full( + len(times), + tp, + dtype=float) if np.isscalar(tp) else np.asarray( + tp, + dtype=float) + if len(hs_arr) != len(times) or len(tp_arr) != len(times): + raise ValueError("hs/tp array length must match len(times)") + + df = np.empty_like(freqs, dtype=float) + df[0] = freqs[1] - freqs[0] if len(freqs) > 1 else 1.0 + if len(freqs) > 1: + df[1:] = np.diff(freqs) + dtheta = 2.0 * np.pi / float(n_dir) + + for i in range(len(times)): + hs_t = max(0.0, hs_arr[i]) + tp_t = max(0.01, tp_arr[i]) + + _, dimSpec = JONSWAP(hs_t, tp_t, direction, n_dir, freqs).compute() + + m0 = np.nansum(dimSpec * df[np.newaxis, :] * dtheta) + if m0 > 0: + dimSpec *= (hs_t / 4.0)**2 / m0 + + xv[i, 0] = x + yv[i, 0] = y + ds['depth'][i, 0] = depth + ds['u10m'][i, 0] = w_speed + ds['udir'][i, 0] = w_dir + ds['efth'][i, 0] = dimSpec.T # (nfreq, ndir) + + ds.close() + + +def verify_bc_files(pattern): + """Read back output spectral files and print min/max Hs per file.""" + for path in sorted(glob.glob(pattern)): + ds = nc.Dataset(path) + ef = ds['efth'][:] + frq = ds['frequency'][:] + drs = ds['direction'][:] + df = np.diff(frq, prepend=frq[0]) + dtheta = np.deg2rad(np.diff(np.hstack((drs, drs[0] + 360.0)))) + m0 = np.nansum( + ef * df[np.newaxis, None, :, None] * + dtheta[np.newaxis, None, None, :], + axis=(2, 3)) + Hs = 4.0 * np.sqrt(m0) + print( + f' { + os.path.basename(path)} Hs={ + float( + np.nanmin(Hs)):.3f}–{ + float( + np.nanmax(Hs)):.3f} m') + ds.close() + + +# --------------- +# Main +# --------------- + +if __name__ == '__main__': + + # CONFIGURATION + + # paths + OUTPATH = './harmonics' # spectral files + ww3_bounc.inp written here + BOUNCDIR = './harmonics/' # path to the spectra as written in ww3_bounc.inp + os.makedirs(OUTPATH, exist_ok=True) + + # number of spectral files + N_POINTS = 10 # number of (identical) boundary spectral files + + # wave configuration + DIRECTION = 180 # deg, meteorological convention (waves to south) + W_SPEED = 0.1 # nominal wind speed [m/s] + N_DIR = 24 # number of directional bins (e.g. 24 -> 15 deg bins) + FREQS = get_freqs(f_min=0.052, n_freq=32, ratio=1.1) # 32 freq bins + # water depth at boundary nodes [m] (all identical for inlet domain) + DEPTH = 15.0 + + # wave height / period + HS_FIXED = 1.0 # significant wave height [m] + TP_FIXED = 10.0 # peak period [s] + TIDAL_SIGNAL = False # True -> modulate Hs/Tp with a tidal harmonic + + # Tidal signal params (used if Tidal_signal = True) + HS_TIDAL_AMP = 0.6 # tidal amplitude [m] + TP_TIDAL_AMP = 1.0 # tidal amplitude [s] + TIDAL_PERIOD_H = 12.0 # tidal period [hours] + + # time axis + times = pandas.date_range('2018-08-01T00:00:00.000Z', + '2018-08-03T05:00:00.000Z', freq='0.5h') + + # build Hs / Tp series + if TIDAL_SIGNAL: + t_sec = (times - times[0]).total_seconds().astype(float) + omega = 2.0 * np.pi / (TIDAL_PERIOD_H * 3600.0) + hs_series = HS_FIXED + HS_TIDAL_AMP * np.cos(omega * t_sec) + tp_series = TP_FIXED + TP_TIDAL_AMP * np.cos(omega * t_sec) + else: + hs_series = np.full(len(times), HS_FIXED) + tp_series = np.full(len(times), TP_FIXED) + + # placeholder station coordinates (no mesh read) + # All N_POINTS files carry the same spectrum, so the station positions are + # physically irrelevant. They are spread along a line only to give WW3 + # distinct nearest-neighbour anchors; + # adjust if domain dimensions change or leave as-is for tidal inlet (see + # the .msh) + xs = np.linspace(0.0, 15000.0, N_POINTS) # x of each station [m] + Y_POS = 14000.0 # constant y [m] + + # write spectral files + print(f'Writing {N_POINTS} spectral files -> {OUTPATH}/') + bc_files = [] + for i in range(N_POINTS): + name = str(i + 1) + write_point_bc( + xs[i], Y_POS, DEPTH, times, + hs_series, tp_series, DIRECTION, + W_SPEED, DIRECTION, N_DIR, FREQS, + name, OUTPATH, spherical=False) + bc_files.append(os.path.join(BOUNCDIR, f'id_{name}_spec.nc')) + print(f' [{i + 1}/{N_POINTS}] id_{name}_spec.nc') + + # ww3_bounc.inp + bounc_inp = os.path.join(OUTPATH, 'ww3_bounc.inp') + with open(bounc_inp, 'w') as fh: + fh.write( + '$ boundary option: READ or WRITE\n' + ' WRITE\n' + '$ Interpolation method. 1: nearest, 2: linear interpolation\n' + ' 1\n0\n' + '$ list of spectra files.\n' + + ''.join(f + '\n' for f in bc_files) + + "'STOPSTRING'\n$\n" + ) + print(f'\nBounc input written: {bounc_inp}') + + # verify + print('\n--- Output verification ---') + verify_bc_files(os.path.join(OUTPATH, 'id_*_spec.nc')) diff --git a/examples/tidalInlet/waves/harmonics/ww3_bounc.inp b/examples/tidalInlet/waves/harmonics/ww3_bounc.inp new file mode 100644 index 000000000..2699ef324 --- /dev/null +++ b/examples/tidalInlet/waves/harmonics/ww3_bounc.inp @@ -0,0 +1,18 @@ +$ boundary option: READ or WRITE + WRITE +$ Interpolation method. 1: nearest, 2: linear interpolation + 1 +0 +$ list of spectra files. +./harmonics/id_1_spec.nc +./harmonics/id_2_spec.nc +./harmonics/id_3_spec.nc +./harmonics/id_4_spec.nc +./harmonics/id_5_spec.nc +./harmonics/id_6_spec.nc +./harmonics/id_7_spec.nc +./harmonics/id_8_spec.nc +./harmonics/id_9_spec.nc +./harmonics/id_10_spec.nc +'STOPSTRING' +$ diff --git a/examples/tidalInlet/waves/switch_tidalinlet b/examples/tidalInlet/waves/switch_tidalinlet new file mode 100644 index 000000000..faca17971 --- /dev/null +++ b/examples/tidalInlet/waves/switch_tidalinlet @@ -0,0 +1 @@ +F90 NOGRB NC4 DIST MPI PR3 UQ FLX0 LN1 ST0 NL0 BT1 DB1 TR0 BS0 IC0 IS0 REF0 XX0 WNT1 WNX1 CRT1 CRX1 TRKNC O0 O1 O2 O4 O5 O6 O7 diff --git a/examples/tidalInlet/waves/tidalinlet.msh b/examples/tidalInlet/waves/tidalinlet.msh new file mode 100644 index 000000000..365b1cc66 --- /dev/null +++ b/examples/tidalInlet/waves/tidalinlet.msh @@ -0,0 +1,14856 @@ +$MeshFormat +2 0 8 +$EndMeshFormat +$Nodes +5079 +1 0.000000 0.000000 4.00000 +2 227.272727 0.000000 4.00000 +3 166.573985 166.657808 4.00000 +4 0.000000 227.586207 4.00000 +5 0.000000 455.172414 4.00000 +6 454.545455 0.000000 4.00000 +7 348.875160 191.259878 4.00000 +8 197.095437 341.379310 4.00000 +9 205.726713 563.762639 4.00000 +10 0.000000 682.758621 4.00000 +11 0.000000 910.344828 4.00000 +12 15000.000000 0.000000 4.00000 +13 15000.000000 227.586207 4.00000 +14 681.818182 0.000000 4.00000 +15 578.503905 212.135945 4.00000 +16 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5048 5057 5049 +9727 2 2 0 1 5056 5057 5048 +9728 2 2 0 1 5058 5050 5049 +9729 2 2 0 1 5057 5058 5049 +9730 2 2 0 1 5059 5051 5052 +9731 2 2 0 1 5055 5051 5059 +9732 2 2 0 1 5052 5061 5060 +9733 2 2 0 1 5059 5052 5060 +9734 2 2 0 1 5052 5053 5061 +9735 2 2 0 1 5054 5062 5053 +9736 2 2 0 1 5053 5062 5061 +9737 2 2 0 1 5055 5063 5056 +9738 2 2 0 1 5055 5059 5063 +9739 2 2 0 1 5057 5056 5064 +9740 2 2 0 1 5056 5063 5064 +9741 2 2 0 1 5065 5058 5057 +9742 2 2 0 1 5065 5057 5064 +9743 2 2 0 1 5066 5059 5060 +9744 2 2 0 1 5063 5059 5066 +9745 2 2 0 1 5061 5067 5060 +9746 2 2 0 1 5067 5066 5060 +9747 2 2 0 1 5062 5068 5061 +9748 2 2 0 1 5068 5067 5061 +9749 2 2 0 1 5070 5063 5069 +9750 2 2 0 1 5069 5063 5066 +9751 2 2 0 1 5063 5070 5064 +9752 2 2 0 1 5071 5065 5064 +9753 2 2 0 1 5070 5071 5064 +9754 2 2 0 1 5067 5072 5066 +9755 2 2 0 1 5072 5069 5066 +9756 2 2 0 1 5067 5073 5072 +9757 2 2 0 1 5068 5073 5067 +9758 2 2 0 1 5069 5072 5074 +9759 2 2 0 1 5070 5069 5074 +9760 2 2 0 1 5075 5071 5070 +9761 2 2 0 1 5075 5070 5074 +9762 2 2 0 1 5074 5072 5076 +9763 2 2 0 1 5072 5077 5076 +9764 2 2 0 1 5073 5077 5072 +9765 2 2 0 1 5078 5075 5074 +9766 2 2 0 1 5078 5074 5076 +9767 2 2 0 1 5079 5078 5076 +9768 2 2 0 1 5077 5079 5076 +$EndElements diff --git a/examples/tidalInlet/waves/ww3_bounc.inp b/examples/tidalInlet/waves/ww3_bounc.inp new file mode 100644 index 000000000..447ea6316 --- /dev/null +++ b/examples/tidalInlet/waves/ww3_bounc.inp @@ -0,0 +1,15 @@ +$ boundary option: READ or WRITE + WRITE +$ Interpolation method. 1: nearest, 2: linear interpolation + 1 +0 +$ list of spectra files. +../harmonics/id_1_spec.nc +../harmonics/id_2_spec.nc +../harmonics/id_3_spec.nc +../harmonics/id_4_spec.nc +../harmonics/id_5_spec.nc +../harmonics/id_6_spec.nc +../harmonics/id_7_spec.nc +'STOPSTRING' +$ \ No newline at end of file diff --git a/examples/tidalInlet/waves/ww3_grid.inp b/examples/tidalInlet/waves/ww3_grid.inp new file mode 100644 index 000000000..02423232b --- /dev/null +++ b/examples/tidalInlet/waves/ww3_grid.inp @@ -0,0 +1,136 @@ + $ -------------------------------------------------------------------- $ +$ WAVEWATCH III Grid preprocessor input file $ +$ -------------------------------------------------------------------- $ + tidesin +$ + 1.1 0.052 32 24 0.5 + F T T T F T + 50 50 50 10 +$ +$ Start of namelist input section ------------------------------------ $ +$. +$ + &SIN4 BETAMAX=1.45// + &UNST UGOBCAUTO=F, EXPFSFCT=T // $ IMPFSN= T// +END OF NAMELISTS +$ + UNST F F +$ + 0 0.1 20 -1 1 1 '(20f10.2)' 'NAME' tidalinlet.msh +$ +$ If the above unit number equals 10, the bottom data is read from +$ this file and follows below (no intermediate comment lines allowed). +$ +$ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 +$ +$ If sub-grid information is avalaible as indicated by FLAGTR above, +$ additional input to define this is needed below. In such cases a +$ field of fractional obstructions at or between grid points needs to +$ be supplied. First the location and format of the data is defined +$ by (as above) : +$ - Unit number of file (can be 10, and/or identical to bottem depth +$ unit), scale factor for fractional obstruction, IDLA, IDFM, +$ format for formatted read, FROM and filename +$ +$ 10 0.2 3 1 '(....)' 'NAME' 'obstr.inp' +$ +$ *** NOTE if this unit number is the same as the previous bottom +$ depth unit number, it is assumed that this is the same file +$ without further checks. *** +$ +$ If the above unit number equals 10, the bottom data is read from +$ this file and follows below (no intermediate comment lines allowed, +$ except between the two fields). +$ + 10 3 1 '(....)' 'PART' 'mapsta.inp' +$ Input boundary points ---------------------------------------------- $ + 5078 1 F + 5075 1 F + 5071 1 F + 5065 1 F + 5058 1 F + 5050 1 F + 5040 1 F + 5029 1 F + 5016 1 F + 5001 1 F + 4985 1 F + 4967 1 F + 4948 1 F + 4927 1 F + 4904 1 F + 4880 1 F + 4854 1 F + 4827 1 F + 4798 1 F + 4768 1 F + 4736 1 F + 4702 1 F + 4667 1 F + 4630 1 F + 4592 1 F + 4552 1 F + 4510 1 F + 4467 1 F + 4422 1 F + 4376 1 F + 4328 1 F + 4278 1 F + 4227 1 F + 4175 1 F + 4127 1 F + 4079 1 F + 4034 1 F + 3994 1 F + 3954 1 F + 3915 1 F + 3877 1 F + 3839 1 F + 3800 1 F + 3759 1 F + 3718 1 F + 3676 1 F + 3633 1 F + 3587 1 F + 3541 1 F + 3494 1 F + 3447 1 F + 3396 1 F + 3343 1 F + 3289 1 F + 3232 1 F + 3172 1 F + 3108 1 F + 3040 1 F + 2968 1 F + 2893 1 F + 2815 1 F + 2742 1 F + 2672 1 F + 2598 1 F + 2525 1 F + 0 0 F +$ +$ +$ +$ Excluded grid points from segment data ( FROM != PART ) +$ First defined as lines, identical to the definition of the input +$ boundary points, and closed the same way. +$ + 0 0 F +$ +$ Second, define a point in a closed body of sea points to remove +$ the entire body os sea points. Also close by point (0,0) +$ + 0 0 +$ +$ Output boundary points --------------------------------------------- $ +$ Output boundary points are defined as a number of straight lines, +$ +$ Close list by defining line with 0 points (mandatory) +$ + 0. 0. 0. 0. 0 +$ +$ -------------------------------------------------------------------- $ +$ End of input file $ +$ -------------------------------------------------------------------- $ diff --git a/examples/tidalInlet/waves/ww3_ounf.inp b/examples/tidalInlet/waves/ww3_ounf.inp new file mode 100644 index 000000000..f43d4569d --- /dev/null +++ b/examples/tidalInlet/waves/ww3_ounf.inp @@ -0,0 +1,49 @@ +$ -------------------------------------------------------------------- $ +$ WAVEWATCH III Grid output post-processing $ +$--------------------------------------------------------------------- $ +$ First output time (yyyymmdd hhmmss), increment of output (s), +$ and number of output times. +$ + 20180101 000000 3600 372 + +$ +$ Fields requested --------------------------------------------------- $ +$ +$ Output request flags identifying fields as in ww3_shel.inp. See that +$ file for a full documentation of field output options. Namelist type +$ selection is used here (for alternative F/T flags, see ww3_shel.inp). +$ +$ DPT CUR WND AST WLV ICE IBG D50 IC1 IC5 HS LM T02 T0M1 T01 FP DIR SPR +$ DP HIG EF TH1M STH1M TH2M STH2M WN PHS PTP PLP PDIR PSPR PWS TWS PNR +$ UST CHA CGE FAW TAW TWA WCC WCF WCH WCM SXY TWO BHD FOC TUS USS P2S +$ USF P2L TWI FIC ABR UBR BED FBB TBB MSS MSC DTD FC CFX CFD CFK U1 U2 +$ + N + SXY HS DIR T02 T01 UBR FP DEP +$ +$--------------------------------------------------------------------- $ +$ netCDF version [3,4] +$ and variable type 4 [2 = SHORT, 3 = it depends , 4 = REAL] +$ swell partitions [0 1 2 3 4 5] +$ variables in same file [T] or not [F] +$ + 4 4 + 0 1 2 + T +$ +$ -------------------------------------------------------------------- $ +$ File prefix +$ number of characters in date [4(yearly),6(monthly),8(daily),10(hourly)] +$ IX and IY ranges [regular:IX NX IY NY, unstructured:IP NP 1 1] +$ + ww3. + 8 + 1 5079 1 1 +$ +$ For each field and time a new file is generated with the file name +$ ww3.date_xxx.nc , where date is a conventional time indicator with S3 +$ characters, and xxx is a field identifier. +$ +$ -------------------------------------------------------------------- $ +$ End of input file $ +$ -------------------------------------------------------------------- $ diff --git a/examples/tidalInlet/waves/ww3_shel.inp b/examples/tidalInlet/waves/ww3_shel.inp new file mode 100644 index 000000000..928c8bc49 --- /dev/null +++ b/examples/tidalInlet/waves/ww3_shel.inp @@ -0,0 +1,30 @@ +$ -------------------------------------------------------------------- $ +$ WAVEWATCH III shell input file $ +$ -------------------------------------------------------------------- $ + F F Water levels + F F Currents + F F Winds + F Ice concentrations + F Assimilation data : Mean parameters + F Assimilation data : 1-D spectra + F Assimilation data : 2-D spectra. +$ + 20180101 000000 + 20180103 030000 +$ + 1 +$ + 20180101 000000 600 20180103 030000 + N + SXY HS DIR T01 T02 UBR FP DEP + 20091111 000000 0 20091112 000000 + 20091111 000000 0 20091112 000000 + 20180101 010000 84600 20180104 010000 + 20091111 000000 0 20091112 000000 + 20091111 000000 0 20091112 000000 +$ +$ + 'STP' +$ -------------------------------------------------------------------- $ +$ End of input file $ +$ -------------------------------------------------------------------- $ diff --git a/examples/tidalInlet/ww3inlet9mc_12h.nc b/examples/tidalInlet/waves/ww3inlet9mc_12h.nc similarity index 100% rename from examples/tidalInlet/ww3inlet9mc_12h.nc rename to examples/tidalInlet/waves/ww3inlet9mc_12h.nc diff --git a/test/examples/test_examples.py b/test/examples/test_examples.py index ffdbf8fc6..89121abb8 100644 --- a/test/examples/test_examples.py +++ b/test/examples/test_examples.py @@ -60,8 +60,9 @@ 'north_sea/run.py', 'tidalInlet/inlet.py', 'tidalInlet/plot_results.py', - 'tidalInlet/generate_tidalinlet_mesh.py', 'tidalInlet/bathymetry_utils.py', + 'tidalInlet/mesh/generate_tidalinlet_mesh.py', + 'tidalInlet/waves/gen_ww3_bc_spectra.py', ] cwd = os.path.abspath(os.path.dirname(__file__)) From 37629a3bd20f8f265335c512e76f1b8064dc4cad Mon Sep 17 00:00:00 2001 From: seimurs Date: Thu, 11 Jun 2026 13:55:59 +0200 Subject: [PATCH 5/6] flake8+autopep8 formatting --- examples/tidalInlet/inlet.py | 7 +++++-- examples/tidalInlet/waves/gen_ww3_bc_spectra.py | 10 +++++----- 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/examples/tidalInlet/inlet.py b/examples/tidalInlet/inlet.py index f95159167..b3f51d3bb 100755 --- a/examples/tidalInlet/inlet.py +++ b/examples/tidalInlet/inlet.py @@ -35,7 +35,6 @@ import numpy as np from scipy.spatial import cKDTree -import os import netCDF4 as nc from bathymetry_utils import generate_bathymetry @@ -52,6 +51,8 @@ # --------------------------------------------- # FUNCTIONS: # --------------------------------------------- + + def interpolate_at_dt(wavefield, time_array, dt_seconds): """ linearly interpolates wave fields to a time step given in seconds @@ -88,6 +89,7 @@ def interpolate_at_dt(wavefield, time_array, dt_seconds): wavefield_interp = (1 - w) * wavefield[idx_before] + w * wavefield[idx_after] return wavefield_interp + # --------------------------------------------- # MESH # --------------------------------------------- @@ -109,7 +111,7 @@ def interpolate_at_dt(wavefield, time_array, dt_seconds): # --------------------------------------------- # Wave Fields # --------------------------------------------- -ww3waves = './waves/ww3inlet9mc_12h.nc' # pre-generated wave forcing file from ww3 +ww3waves = './waves/ww3inlet9mc_12h.nc' # pre-generated wave forcing file from ww3 _ds = nc.Dataset(ww3waves) # Extract coordinates and variables as plain numpy arrays @@ -193,6 +195,7 @@ def update_wave_forcing(t_new, P1_2d, solver_obj): # return rad_stress_2d return + # --------------------------------------------- # TIMING # --------------------------------------------- diff --git a/examples/tidalInlet/waves/gen_ww3_bc_spectra.py b/examples/tidalInlet/waves/gen_ww3_bc_spectra.py index b635e7255..e7bfbc2a9 100755 --- a/examples/tidalInlet/waves/gen_ww3_bc_spectra.py +++ b/examples/tidalInlet/waves/gen_ww3_bc_spectra.py @@ -2,14 +2,14 @@ gen_ww3_bc_spectra_simple.py ======================== Generate N identical WW3 BOUNC spectral boundary-condition files plus the -matching ww3_bounc.inp, using Hasselmann et al., 1973 JONSWAP directional spectra +matching ww3_bounc.inp, using Hasselmann et al., 1973 JONSWAP directional spectra Note: - set N_POINTS to the number of spectral files to generate. + set N_POINTS to the number of spectral files to generate. Every file carries the same JONSWAP spectrum, so WW3 (ww3_bounc) maps the open-boundary points defined in ww3_grid.inp onto these files by nearest-neighbour. BC nodes in ww3_grid.inp are set manually based on the mesh boundary nodes selected - WW3 v6071 is run on .msh v2.2 (v4.1 must be converted to v2.2 for WW3 compatibility, e.g. gmsh -> export -> v2.2) + WW3 v6071 is run on .msh v2.2 (v4.1 must be converted to v2.2 for WW3 compatibility, e.g. gmsh -> export -> v2.2) Usage: python gen_ww3_bc_spectra_simple.py @@ -297,8 +297,8 @@ def verify_bc_files(pattern): df = np.diff(frq, prepend=frq[0]) dtheta = np.deg2rad(np.diff(np.hstack((drs, drs[0] + 360.0)))) m0 = np.nansum( - ef * df[np.newaxis, None, :, None] * - dtheta[np.newaxis, None, None, :], + ef * df[np.newaxis, None, :, None] + * dtheta[np.newaxis, None, None, :], axis=(2, 3)) Hs = 4.0 * np.sqrt(m0) print( From bfab1d85f0fa5a3930241cc21b989974078b0d5d Mon Sep 17 00:00:00 2001 From: seimurs Date: Thu, 11 Jun 2026 16:11:19 +0200 Subject: [PATCH 6/6] remove test folder/file generated by gen_ww3 script --- .../tidalInlet/waves/harmonics/ww3_bounc.inp | 18 ------------------ 1 file changed, 18 deletions(-) delete mode 100644 examples/tidalInlet/waves/harmonics/ww3_bounc.inp diff --git a/examples/tidalInlet/waves/harmonics/ww3_bounc.inp b/examples/tidalInlet/waves/harmonics/ww3_bounc.inp deleted file mode 100644 index 2699ef324..000000000 --- a/examples/tidalInlet/waves/harmonics/ww3_bounc.inp +++ /dev/null @@ -1,18 +0,0 @@ -$ boundary option: READ or WRITE - WRITE -$ Interpolation method. 1: nearest, 2: linear interpolation - 1 -0 -$ list of spectra files. -./harmonics/id_1_spec.nc -./harmonics/id_2_spec.nc -./harmonics/id_3_spec.nc -./harmonics/id_4_spec.nc -./harmonics/id_5_spec.nc -./harmonics/id_6_spec.nc -./harmonics/id_7_spec.nc -./harmonics/id_8_spec.nc -./harmonics/id_9_spec.nc -./harmonics/id_10_spec.nc -'STOPSTRING' -$