From e138b5e8686544031bffb861150ee32c4305964c Mon Sep 17 00:00:00 2001 From: Thomas Bendall Date: Fri, 22 Nov 2024 17:48:51 +0000 Subject: [PATCH 1/6] Remove remove_initial_w (#576) --- .../mountain_hydrostatic.py | 5 ++-- .../hydrostatic_initialisation.py | 24 ++++--------------- 2 files changed, 6 insertions(+), 23 deletions(-) diff --git a/examples/compressible_euler/mountain_hydrostatic.py b/examples/compressible_euler/mountain_hydrostatic.py index 8d9b0f8a6..1fc113a71 100644 --- a/examples/compressible_euler/mountain_hydrostatic.py +++ b/examples/compressible_euler/mountain_hydrostatic.py @@ -18,7 +18,7 @@ TrapeziumRule, SUPGOptions, ZComponent, Perturbation, CompressibleParameters, HydrostaticCompressibleEulerEquations, CompressibleSolver, compressible_hydrostatic_balance, HydrostaticImbalance, - SpongeLayerParameters, MinKernel, MaxKernel, remove_initial_w, logger + SpongeLayerParameters, MinKernel, MaxKernel, logger ) mountain_hydrostatic_defaults = { @@ -243,8 +243,7 @@ def mountain_hydrostatic( theta0.assign(theta_b) rho0.assign(rho_b) - u0.project(as_vector([initial_wind, 0.0])) - remove_initial_w(u0) + u0.project(as_vector([initial_wind, 0.0]), bcs=eqns.bcs['u']) stepper.set_reference_profiles([('rho', rho_b), ('theta', theta_b)]) diff --git a/gusto/initialisation/hydrostatic_initialisation.py b/gusto/initialisation/hydrostatic_initialisation.py index f4be78451..53bf537e8 100644 --- a/gusto/initialisation/hydrostatic_initialisation.py +++ b/gusto/initialisation/hydrostatic_initialisation.py @@ -12,9 +12,10 @@ from gusto.recovery import Recoverer, BoundaryMethod -__all__ = ["boussinesq_hydrostatic_balance", - "compressible_hydrostatic_balance", "remove_initial_w", - "saturated_hydrostatic_balance", "unsaturated_hydrostatic_balance"] +__all__ = [ + "boussinesq_hydrostatic_balance", "compressible_hydrostatic_balance", + "saturated_hydrostatic_balance", "unsaturated_hydrostatic_balance" +] def boussinesq_hydrostatic_balance(equation, b0, p0, top=False, params=None): @@ -219,23 +220,6 @@ def compressible_hydrostatic_balance(equation, theta0, rho0, exner0=None, rho0.interpolate(thermodynamics.rho(parameters, theta0, exner)) -def remove_initial_w(u): - """ - Removes the vertical component of a velocity field. - - Args: - u (:class:`Function`): the velocity field to be altered. - """ - Vu = u.function_space() - Vv = FunctionSpace(Vu._ufl_domain, Vu.ufl_element()._elements[-1]) - bc = DirichletBC(Vu[0], 0.0, "bottom") - bc.apply(u) - uv = Function(Vv).project(u) - ustar = Function(u.function_space()).project(uv) - uin = Function(u.function_space()).assign(u - ustar) - u.assign(uin) - - def saturated_hydrostatic_balance(equation, state_fields, theta_e, mr_t, exner0=None, top=False, exner_boundary=Constant(1.0), From 564810d96ca0908481a6be485d1204b49748320e Mon Sep 17 00:00:00 2001 From: Timothy Andrews <75810156+ta440@users.noreply.github.com> Date: Wed, 4 Dec 2024 05:35:49 -0500 Subject: [PATCH 2/6] Implement simultaneous transport with SIQN (#581) --- gusto/equations/prognostic_equations.py | 7 +- .../time_discretisation.py | 84 ++++-- .../semi_implicit_quasi_newton.py | 95 ++++--- .../data/simult_SIQN_order0_chkpt.h5 | Bin 0 -> 307842 bytes .../data/simult_SIQN_order1_chkpt.h5 | Bin 0 -> 277122 bytes .../model/test_simultaneous_SIQN.py | 263 ++++++++++++++++++ 6 files changed, 395 insertions(+), 54 deletions(-) create mode 100644 integration-tests/data/simult_SIQN_order0_chkpt.h5 create mode 100644 integration-tests/data/simult_SIQN_order1_chkpt.h5 create mode 100644 integration-tests/model/test_simultaneous_SIQN.py diff --git a/gusto/equations/prognostic_equations.py b/gusto/equations/prognostic_equations.py index 7369f5ee2..b2df68e2c 100644 --- a/gusto/equations/prognostic_equations.py +++ b/gusto/equations/prognostic_equations.py @@ -305,12 +305,13 @@ def add_tracers_to_prognostics(self, domain, active_tracers): name of the active tracer. """ - # Check if there are any conservatively transported tracers. - # If so, ensure that the reference density is indexed before this tracer. + # If there are any conservatively transported tracers, ensure + # that the reference density, if it is also an active tracer, + # is indexed earlier. for i in range(len(active_tracers) - 1): tracer = active_tracers[i] if tracer.transport_eqn == TransportEquationType.tracer_conservative: - ref_density = next(x for x in active_tracers if x.name == tracer.density_name) + ref_density = next((x for x in active_tracers if x.name == tracer.density_name), tracer) j = active_tracers.index(ref_density) if j > i: # Swap the indices of the tracer and the reference density diff --git a/gusto/time_discretisation/time_discretisation.py b/gusto/time_discretisation/time_discretisation.py index df108a615..4f72af317 100644 --- a/gusto/time_discretisation/time_discretisation.py +++ b/gusto/time_discretisation/time_discretisation.py @@ -132,26 +132,58 @@ def setup(self, equation, apply_bcs=True, *active_labels): self.residual = equation.residual if self.field_name is not None and hasattr(equation, "field_names"): - self.idx = equation.field_names.index(self.field_name) - self.fs = equation.spaces[self.idx] - self.residual = self.residual.label_map( - lambda t: t.get(prognostic) == self.field_name, - lambda t: Term( - split_form(t.form)[self.idx].form, - t.labels), - drop) + if isinstance(self.field_name, list): + # Multiple fields are being solved for simultaneously. + # This enables conservative transport to be implemented with SIQN. + # Use the full mixed space for self.fs, with the + # field_name, residual, and BCs being set up later. + self.fs = equation.function_space + self.idx = None + else: + self.idx = equation.field_names.index(self.field_name) + self.fs = equation.spaces[self.idx] + self.residual = self.residual.label_map( + lambda t: t.get(prognostic) == self.field_name, + lambda t: Term( + split_form(t.form)[self.idx].form, + t.labels), + drop) else: self.field_name = equation.field_name self.fs = equation.function_space self.idx = None - bcs = equation.bcs[self.field_name] - if len(active_labels) > 0: - self.residual = self.residual.label_map( - lambda t: any(t.has_label(time_derivative, *active_labels)), - map_if_false=drop) + if isinstance(self.field_name, list): + # Multiple fields are being solved for simultaneously. + # Keep all time derivative terms: + residual = self.residual.label_map( + lambda t: t.has_label(time_derivative), + map_if_false=drop) + + # Only keep active labels for prognostics in the list + # of simultaneously transported variables: + for subname in self.field_name: + field_residual = self.residual.label_map( + lambda t: t.get(prognostic) == subname, + map_if_false=drop) + + residual += field_residual.label_map( + lambda t: t.has_label(*active_labels), + map_if_false=drop) + + self.residual = residual + else: + self.residual = self.residual.label_map( + lambda t: any(t.has_label(time_derivative, *active_labels)), + map_if_false=drop) + + # Set the field name if using simultaneous transport. + if isinstance(self.field_name, list): + self.field_name = equation.field_name + + bcs = equation.bcs[self.field_name] self.evaluate_source = [] self.physics_names = [] @@ -175,7 +207,10 @@ def setup(self, equation, apply_bcs=True, *active_labels): # timestepper should be used instead. if len(field_terms.label_map(lambda t: t.has_label(mass_weighted), map_if_false=drop)) > 0: if len(field_terms.label_map(lambda t: not t.has_label(mass_weighted), map_if_false=drop)) > 0: - raise ValueError(f"Mass-weighted and non-mass-weighted terms are present in a timestepping equation for {field}. As these terms cannot be solved for simultaneously, a split timestepping method should be used instead.") + raise ValueError('Mass-weighted and non-mass-weighted terms are present in a ' + + f'timestepping equation for {field}. As these terms cannot ' + + 'be solved for simultaneously, a split timestepping method ' + + 'should be used instead.') else: # Replace the terms with a mass_weighted label with the # mass_weighted form. It is important that the labels from @@ -199,10 +234,11 @@ def setup(self, equation, apply_bcs=True, *active_labels): for field, subwrapper in self.wrapper.subwrappers.items(): if field not in equation.field_names: - raise ValueError(f"The option defined for {field} is for a field that does not exist in the equation set") + raise ValueError(f'The option defined for {field} is for a field ' + + 'that does not exist in the equation set.') field_idx = equation.field_names.index(field) - subwrapper.setup(equation.spaces[field_idx], wrapper_bcs) + subwrapper.setup(equation.spaces[field_idx], equation.bcs[field]) # Update the function space to that needed by the wrapper self.wrapper.wrapper_spaces[field_idx] = subwrapper.function_space @@ -244,9 +280,19 @@ def setup(self, equation, apply_bcs=True, *active_labels): if not apply_bcs: self.bcs = None elif self.wrapper is not None: - # Transfer boundary conditions onto test function space - self.bcs = [DirichletBC(self.fs, bc.function_arg, bc.sub_domain) - for bc in bcs] + if self.wrapper_name == 'mixed_options': + # Define new Dirichlet BCs on the wrapper-modified + # mixed function space. + self.bcs = [] + for idx, field_name in enumerate(self.equation.field_names): + for bc in equation.bcs[field_name]: + self.bcs.append(DirichletBC(self.fs.sub(idx), + bc.function_arg, + bc.sub_domain)) + else: + # Transfer boundary conditions onto test function space + self.bcs = [DirichletBC(self.fs, bc.function_arg, bc.sub_domain) + for bc in bcs] else: self.bcs = bcs diff --git a/gusto/timestepping/semi_implicit_quasi_newton.py b/gusto/timestepping/semi_implicit_quasi_newton.py index 76c517a7f..7c4de236b 100644 --- a/gusto/timestepping/semi_implicit_quasi_newton.py +++ b/gusto/timestepping/semi_implicit_quasi_newton.py @@ -115,6 +115,9 @@ def __init__(self, equation_set, io, transport_schemes, spatial_methods, self.reference_update_freq = reference_update_freq self.to_update_ref_profile = False + # Flag for if we have simultaneous transport + self.simult = False + # default is to not offcentre transporting velocity but if it # is offcentred then use the same value as alpha self.alpha_u = Constant(alpha) if off_centred_u else Constant(0.5) @@ -148,15 +151,30 @@ def __init__(self, equation_set, io, transport_schemes, spatial_methods, self.transported_fields = [] for scheme in transport_schemes: assert scheme.nlevels == 1, "multilevel schemes not supported as part of this timestepping loop" - assert scheme.field_name in equation_set.field_names - self.active_transport.append((scheme.field_name, scheme)) - self.transported_fields.append(scheme.field_name) - # Check that there is a corresponding transport method - method_found = False - for method in spatial_methods: - if scheme.field_name == method.variable and method.term_label == transport: - method_found = True - assert method_found, f'No transport method found for variable {scheme.field_name}' + if isinstance(scheme.field_name, list): + # This means that multiple fields are being transported simultaneously + self.simult = True + for subfield in scheme.field_name: + assert subfield in equation_set.field_names + + # Check that there is a corresponding transport method for + # each field in the list + method_found = False + for method in spatial_methods: + if subfield == method.variable and method.term_label == transport: + method_found = True + assert method_found, f'No transport method found for variable {scheme.field_name}' + self.active_transport.append((scheme.field_name, scheme)) + else: + assert scheme.field_name in equation_set.field_names + + # Check that there is a corresponding transport method + method_found = False + for method in spatial_methods: + if scheme.field_name == method.variable and method.term_label == transport: + method_found = True + self.active_transport.append((scheme.field_name, scheme)) + assert method_found, f'No transport method found for variable {scheme.field_name}' self.diffusion_schemes = [] if diffusion_schemes is not None: @@ -240,7 +258,11 @@ def transporting_velocity(self): def setup_fields(self): """Sets up time levels n, star, p and np1""" self.x = TimeLevelFields(self.equation, 1) - self.x.add_fields(self.equation, levels=("star", "p", "after_slow", "after_fast")) + if self.simult is True: + # If there is any simultaneous transport, add an extra 'simult' field: + self.x.add_fields(self.equation, levels=("star", "p", "simult", "after_slow", "after_fast")) + else: + self.x.add_fields(self.equation, levels=("star", "p", "after_slow", "after_fast")) for aux_eqn, _ in self.auxiliary_equations_and_schemes: self.x.add_fields(aux_eqn) # Prescribed fields for auxiliary eqns should come from prognostics of @@ -282,32 +304,44 @@ def copy_active_tracers(self, x_in, x_out): for name in self.tracers_to_copy: x_out(name).assign(x_in(name)) - def transport_field(self, name, scheme, xstar, xp): + def transport_fields(self, outer, xstar, xp): """ - Performs the transport of a field in xstar, placing the result in xp. + Transports all fields in xstar with a transport scheme + and places the result in xp. Args: - name (str): the name of the field to be transported. - scheme (:class:`TimeDiscretisation`): the time discretisation used - for the transport. + outer (int): the outer loop iteration number xstar (:class:`Fields`): the collection of state fields to be transported. xp (:class:`Fields`): the collection of state fields resulting from the transport. """ - - if name == self.predictor: - # Pre-multiply this variable by (1 - dt*beta*div(u)) - V = xstar(name).function_space() - field_out = Function(V) - self.predictor_interpolator.interpolate() - scheme.apply(field_out, self.predictor_field_in) - - # xp is xstar plus the increment from the transported predictor - xp(name).assign(xstar(name) + field_out - self.predictor_field_in) - else: - # Standard transport - scheme.apply(xp(name), xstar(name)) + for name, scheme in self.active_transport: + if isinstance(name, list): + # Transport multiple fields from xstar simultaneously. + # We transport the mixed function space from xstar to xsimult, then + # extract the updated fields and pass them to xp; this avoids overwriting + # any previously transported fields. + logger.info(f'Semi-implicit Quasi Newton: Transport {outer}: ' + + f'Simultaneous transport of {name}') + scheme.apply(self.x.simult(self.field_name), xstar(self.field_name)) + for field_name in name: + xp(field_name).assign(self.x.simult(field_name)) + else: + logger.info(f'Semi-implicit Quasi Newton: Transport {outer}: {name}') + # transports a single field from xstar and puts the result in xp + if name == self.predictor: + # Pre-multiply this variable by (1 - dt*beta*div(u)) + V = xstar(name).function_space() + field_out = Function(V) + self.predictor_interpolator.interpolate() + scheme.apply(field_out, self.predictor_field_in) + + # xp is xstar plus the increment from the transported predictor + xp(name).assign(xstar(name) + field_out - self.predictor_field_in) + else: + # Standard transport + scheme.apply(xp(name), xstar(name)) def update_reference_profiles(self): """ @@ -367,10 +401,7 @@ def timestep(self): with timed_stage("Transport"): self.io.log_courant(self.fields, 'transporting_velocity', message=f'transporting velocity, outer iteration {outer}') - for name, scheme in self.active_transport: - logger.info(f'Semi-implicit Quasi Newton: Transport {outer}: {name}') - # 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zeCWHjkoftp>dVL9pQSG!e|cWa^P}m|Q5SZ)5<1QX&h0uH_-p8U1N!nj=(s5VeF@#y zK*w3o(GfcO0}lk=9k>N_o`qh*ICe)+pkzhd+5&N=Sr~a vg6uRxlsECZM?rR45MEFoB(`53UlnAh1?el^V(h?+uQyTo?^N>s-j)78*OrqH literal 0 HcmV?d00001 diff --git a/integration-tests/model/test_simultaneous_SIQN.py b/integration-tests/model/test_simultaneous_SIQN.py new file mode 100644 index 000000000..ea3a12327 --- /dev/null +++ b/integration-tests/model/test_simultaneous_SIQN.py @@ -0,0 +1,263 @@ +""" +This tests the use of simultaneous transport with the SIQN +timestepping method. A few timesteps are taken with the Bryan-Fritsch +bubble test case, which solves the Compressible Euler Equations. +The two tracers of water vapour and cloud water are being tranpsported +conservatively, which means they need to be transported simultaneously +with the density. +Degree 0 and 1 configurations are tested to ensure that the simultaneous +transport is working with the different wrappers. +""" + +from os.path import join, abspath, dirname +from firedrake import ( + PeriodicIntervalMesh, ExtrudedMesh, SpatialCoordinate, conditional, cos, pi, + sqrt, NonlinearVariationalProblem, NonlinearVariationalSolver, TestFunction, + dx, TrialFunction, Function, as_vector, LinearVariationalProblem, + LinearVariationalSolver, Constant, BrokenElement +) +from gusto import * +import pytest + + +def run_simult_SIQN(tmpdir, order): + + if order == 0: + ncolumns = 20 + nlayers = 20 + u_eqn_type = "vector_advection_form" + else: + ncolumns = 10 + nlayers = 10 + u_eqn_type = "vector_invariant_form" + + dt = 2.0 + tmax = 10.0 + + domain_width = 10000. # domain width, in m + domain_height = 10000. # domain height, in m + zc = 2000. # vertical centre of bubble, in m + rc = 2000. # radius of bubble, in m + Tdash = 2.0 # strength of temperature perturbation, in K + Tsurf = 320.0 # background theta_e value, in K + total_water = 0.02 # total moisture mixing ratio, in kg/kg + + # Domain + mesh_name = 'bryan_fritsch_mesh' + base_mesh = PeriodicIntervalMesh(ncolumns, domain_width) + mesh = ExtrudedMesh( + base_mesh, layers=nlayers, layer_height=domain_height/nlayers, name=mesh_name + ) + domain = Domain(mesh, dt, 'CG', order) + + # Set up the tracers and their transport schemes + V_rho = domain.spaces('DG') + V_theta = domain.spaces('theta') + + tracers = [WaterVapour(space='theta', + transport_eqn=TransportEquationType.tracer_conservative, + density_name='rho'), + CloudWater(space='theta', + transport_eqn=TransportEquationType.tracer_conservative, + density_name='rho')] + + # Equation + params = CompressibleParameters() + eqns = CompressibleEulerEquations( + domain, params, active_tracers=tracers, u_transport_option=u_eqn_type + ) + + # I/O + output_dirname = tmpdir+"/simult_SIQN_order"+str(order) + + output = OutputParameters( + dirname=output_dirname, dumpfreq=5, chkptfreq=5, checkpoint=True + ) + io = IO(domain, output) + + # Set up transport schemes + if order == 0: + VDG1 = domain.spaces("DG1_equispaced") + VCG1 = FunctionSpace(mesh, "CG", 1) + Vu_DG1 = VectorFunctionSpace(mesh, VDG1.ufl_element()) + Vu_CG1 = VectorFunctionSpace(mesh, "CG", 1) + + u_opts = RecoveryOptions(embedding_space=Vu_DG1, + recovered_space=Vu_CG1, + boundary_method=BoundaryMethod.taylor) + theta_opts = RecoveryOptions(embedding_space=VDG1, + recovered_space=VCG1) + + suboptions = {'rho': RecoveryOptions(embedding_space=VDG1, + recovered_space=VCG1, + boundary_method=BoundaryMethod.taylor), + 'water_vapour': ConservativeRecoveryOptions(embedding_space=VDG1, + recovered_space=VCG1, + rho_name="rho", + orig_rho_space=V_rho), + 'cloud_water': ConservativeRecoveryOptions(embedding_space=VDG1, + recovered_space=VCG1, + rho_name="rho", + orig_rho_space=V_rho)} + else: + theta_opts = EmbeddedDGOptions() + Vt_brok = FunctionSpace(mesh, BrokenElement(V_theta.ufl_element())) + suboptions = {'rho': EmbeddedDGOptions(embedding_space=Vt_brok), + 'water_vapour': ConservativeEmbeddedDGOptions(embedding_space=Vt_brok, + rho_name="rho", + orig_rho_space=V_rho), + 'cloud_water': ConservativeEmbeddedDGOptions(embedding_space=Vt_brok, + rho_name="rho", + orig_rho_space=V_rho)} + + transported_fields = [SSPRK3(domain, "theta", options=theta_opts)] + + mixed_opts = MixedFSOptions(suboptions=suboptions) + transported_fields.append(SSPRK3(domain, ["rho", "water_vapour", "cloud_water"], options=mixed_opts, rk_formulation=RungeKuttaFormulation.predictor)) + + if order == 0: + transported_fields.append(SSPRK3(domain, 'u', options=u_opts)) + else: + transported_fields.append(TrapeziumRule(domain, 'u')) + + transport_methods = [ + DGUpwind(eqns, field) for field in + ["u", "rho", "theta", "water_vapour", "cloud_water"] + ] + + # Linear solver + linear_solver = CompressibleSolver(eqns) + + # Physics schemes (condensation/evaporation) + physics_schemes = [(SaturationAdjustment(eqns), ForwardEuler(domain))] + + # Time stepper + stepper = SemiImplicitQuasiNewton( + eqns, io, transported_fields, transport_methods, + linear_solver=linear_solver, physics_schemes=physics_schemes + ) + + # ------------------------------------------------------------------------ # + # Initial conditions + # ------------------------------------------------------------------------ # + + u0 = stepper.fields("u") + rho0 = stepper.fields("rho") + theta0 = stepper.fields("theta") + water_v0 = stepper.fields("water_vapour") + water_c0 = stepper.fields("cloud_water") + + # spaces + Vt = domain.spaces("theta") + Vr = domain.spaces("DG") + x, z = SpatialCoordinate(mesh) + quadrature_degree = (4, 4) + dxp = dx(degree=(quadrature_degree)) + + # Define constant theta_e and water_t + theta_e = Function(Vt).assign(Tsurf) + water_t = Function(Vt).assign(total_water) + + # Calculate hydrostatic fields + saturated_hydrostatic_balance(eqns, stepper.fields, theta_e, water_t) + + # make mean fields + theta_b = Function(Vt).assign(theta0) + rho_b = Function(Vr).assign(rho0) + water_vb = Function(Vt).assign(water_v0) + water_cb = Function(Vt).assign(water_t - water_vb) + + # define perturbation + xc = domain_width / 2 + r = sqrt((x - xc) ** 2 + (z - zc) ** 2) + theta_pert = Function(Vt).interpolate( + conditional( + r > rc, + 0.0, + Tdash * (cos(pi * r / (2.0 * rc))) ** 2 + ) + ) + + # define initial theta + theta0.interpolate(theta_b * (theta_pert / 300.0 + 1.0)) + + # find perturbed rho + gamma = TestFunction(Vr) + rho_trial = TrialFunction(Vr) + a = gamma * rho_trial * dxp + L = gamma * (rho_b * theta_b / theta0) * dxp + rho_problem = LinearVariationalProblem(a, L, rho0) + rho_solver = LinearVariationalSolver(rho_problem) + rho_solver.solve() + + # find perturbed water_v + w_v = Function(Vt) + phi = TestFunction(Vt) + rho_averaged = Function(Vt) + rho_recoverer = Recoverer(rho0, rho_averaged) + rho_recoverer.project() + + exner = thermodynamics.exner_pressure(eqns.parameters, rho_averaged, theta0) + p = thermodynamics.p(eqns.parameters, exner) + T = thermodynamics.T(eqns.parameters, theta0, exner, r_v=w_v) + w_sat = thermodynamics.r_sat(eqns.parameters, T, p) + + w_functional = (phi * w_v * dxp - phi * w_sat * dxp) + w_problem = NonlinearVariationalProblem(w_functional, w_v) + w_solver = NonlinearVariationalSolver(w_problem) + w_solver.solve() + + water_v0.assign(w_v) + water_c0.assign(water_t - water_v0) + + # wind initially zero + u0.project(as_vector( + [Constant(0.0, domain=mesh), Constant(0.0, domain=mesh)] + )) + + stepper.set_reference_profiles( + [ + ('rho', rho_b), + ('theta', theta_b), + ('water_vapour', water_vb), + ('cloud_water', water_cb) + ] + ) + + # --------------------------------------------------------------------- # + # Run + # --------------------------------------------------------------------- # + + stepper.run(t=0, tmax=tmax) + + # State for checking checkpoints + checkpoint_name = 'simult_SIQN_order'+str(order)+'_chkpt.h5' + new_path = join(abspath(dirname(__file__)), '..', f'data/{checkpoint_name}') + check_output = OutputParameters(dirname=output_dirname, + checkpoint_pickup_filename=new_path, + checkpoint=True) + check_mesh = pick_up_mesh(check_output, mesh_name) + check_domain = Domain(check_mesh, dt, "CG", order) + check_eqn = CompressibleEulerEquations(check_domain, params, active_tracers=tracers, u_transport_option=u_eqn_type) + check_io = IO(check_domain, check_output) + check_stepper = SemiImplicitQuasiNewton(check_eqn, check_io, [], []) + check_stepper.io.pick_up_from_checkpoint(check_stepper.fields) + + return stepper, check_stepper + + +@pytest.mark.parametrize("order", [0, 1]) +def test_simult_SIQN(tmpdir, order): + + dirname = str(tmpdir) + stepper, check_stepper = run_simult_SIQN(dirname, order) + + for variable in ['u', 'rho', 'theta', 'water_vapour', 'cloud_water']: + new_variable = stepper.fields(variable) + check_variable = check_stepper.fields(variable) + diff_array = new_variable.dat.data - check_variable.dat.data + error = np.linalg.norm(diff_array) / np.linalg.norm(check_variable.dat.data) + + # Slack values chosen to be robust to different platforms + assert error < 1e-10, f'Values for {variable} in the ' + \ + f'order {order} elements test do not match KGO values' From e253e14c77e431a43ae1b55855a05702da822784 Mon Sep 17 00:00:00 2001 From: Alex Brown <81297297+atb1995@users.noreply.github.com> Date: Thu, 5 Dec 2024 17:53:59 +0000 Subject: [PATCH 3/6] Get SUPG working for MixedFunctionSpace (#580) Co-authored-by: Thomas Bendall --- gusto/core/configuration.py | 13 +++- gusto/time_discretisation/imex_runge_kutta.py | 1 - gusto/time_discretisation/sdc.py | 4 +- .../time_discretisation.py | 47 +++++++++----- gusto/time_discretisation/wrappers.py | 19 ++++-- .../transport/test_supg_transport.py | 65 +++++++++++++++++-- 6 files changed, 119 insertions(+), 30 deletions(-) diff --git a/gusto/core/configuration.py b/gusto/core/configuration.py index a3796b40d..e994eb476 100644 --- a/gusto/core/configuration.py +++ b/gusto/core/configuration.py @@ -203,6 +203,12 @@ class SUPGOptions(WrapperOptions): default = 1/sqrt(15) ibp = IntegrateByParts.TWICE + # Dictionary containing keys field_name and values term_labels + # field_name (str): name of the field for SUPG to be applied to + # term_label (list): labels of terms for test function to be altered + # by SUPG + suboptions = None + class MixedFSOptions(WrapperOptions): """Specifies options for a mixed finite element formulation @@ -210,7 +216,12 @@ class MixedFSOptions(WrapperOptions): prognostic variables.""" name = "mixed_options" - suboptions = {} + + # Dictionary containing keys field_name and values suboption + # field_name (str): name of the field for suboption to be applied to + # suboption (:class:`WrapperOptions`): Wrapper options to be applied + # to the provided field + suboptions = None class SpongeLayerParameters(Configuration): diff --git a/gusto/time_discretisation/imex_runge_kutta.py b/gusto/time_discretisation/imex_runge_kutta.py index 75f27ae04..fcaefe1ec 100644 --- a/gusto/time_discretisation/imex_runge_kutta.py +++ b/gusto/time_discretisation/imex_runge_kutta.py @@ -248,7 +248,6 @@ def apply(self, x_out, x_in): if self.limiter is not None: self.limiter.apply(self.x_out) self.xs[stage].assign(self.x_out) - self.final_solver.solve() # Apply limiter diff --git a/gusto/time_discretisation/sdc.py b/gusto/time_discretisation/sdc.py index f77688331..0fe0c9f29 100644 --- a/gusto/time_discretisation/sdc.py +++ b/gusto/time_discretisation/sdc.py @@ -163,9 +163,9 @@ def __init__(self, base_scheme, domain, M, maxk, quad_type, node_type, qdelta_im # Get Q_delta matrices self.Qdelta_imp = genQDeltaCoeffs(qdelta_imp, form=formulation, - nodes=self.nodes, Q=self.Q) + nodes=self.nodes, Q=self.Q, nNodes=M, nodeType=node_type, quadType=quad_type) self.Qdelta_exp = genQDeltaCoeffs(qdelta_exp, form=formulation, - nodes=self.nodes, Q=self.Q) + nodes=self.nodes, Q=self.Q, nNodes=M, nodeType=node_type, quadType=quad_type) # Set default linear and nonlinear solver options if none passed in if linear_solver_parameters is None: diff --git a/gusto/time_discretisation/time_discretisation.py b/gusto/time_discretisation/time_discretisation.py index 4f72af317..59a7a77f5 100644 --- a/gusto/time_discretisation/time_discretisation.py +++ b/gusto/time_discretisation/time_discretisation.py @@ -91,7 +91,7 @@ def __init__(self, domain, field_name=None, solver_parameters=None, self.wrapper.subwrappers.update({field: RecoveryWrapper(self, suboption)}) elif suboption.name == "supg": raise RuntimeError( - 'Time discretisation: suboption SUPG is currently not implemented within MixedOptions') + 'Time discretisation: suboption SUPG is not implemented within MixedOptions') else: raise RuntimeError( f'Time discretisation: suboption wrapper {suboption.name} not implemented') @@ -101,6 +101,7 @@ def __init__(self, domain, field_name=None, solver_parameters=None, elif self.wrapper_name == "recovered": self.wrapper = RecoveryWrapper(self, options) elif self.wrapper_name == "supg": + self.suboptions = options.suboptions self.wrapper = SUPGWrapper(self, options) else: raise RuntimeError( @@ -255,23 +256,39 @@ def setup(self, equation, apply_bcs=True, *active_labels): else: if self.wrapper_name == "supg": - self.wrapper.setup() + if self.suboptions is not None: + for field_name, term_labels in self.suboptions.items(): + self.wrapper.setup(field_name) + new_test = self.wrapper.test + if term_labels is not None: + for term_label in term_labels: + self.residual = self.residual.label_map( + lambda t: t.get(prognostic) == field_name and t.has_label(term_label), + map_if_true=replace_test_function(new_test, old_idx=self.wrapper.idx)) + else: + self.residual = self.residual.label_map( + lambda t: t.get(prognostic) == field_name, + map_if_true=replace_test_function(new_test, old_idx=self.wrapper.idx)) + self.residual = self.wrapper.label_terms(self.residual) + else: + self.wrapper.setup(self.field_name) + new_test = self.wrapper.test + self.residual = self.residual.label_map( + all_terms, + map_if_true=replace_test_function(new_test)) + self.residual = self.wrapper.label_terms(self.residual) else: self.wrapper.setup(self.fs, wrapper_bcs) - self.fs = self.wrapper.function_space + self.fs = self.wrapper.function_space + new_test = TestFunction(self.wrapper.test_space) + # Replace the original test function with the one from the wrapper + self.residual = self.residual.label_map( + all_terms, + map_if_true=replace_test_function(new_test)) + + self.residual = self.wrapper.label_terms(self.residual) if self.solver_parameters is None: self.solver_parameters = self.wrapper.solver_parameters - new_test = TestFunction(self.wrapper.test_space) - # SUPG has a special wrapper - if self.wrapper_name == "supg": - new_test = self.wrapper.test - - # Replace the original test function with the one from the wrapper - self.residual = self.residual.label_map( - all_terms, - map_if_true=replace_test_function(new_test)) - - self.residual = self.wrapper.label_terms(self.residual) # -------------------------------------------------------------------- # # Make boundary conditions @@ -279,7 +296,7 @@ def setup(self, equation, apply_bcs=True, *active_labels): if not apply_bcs: self.bcs = None - elif self.wrapper is not None: + elif self.wrapper is not None and self.wrapper_name != "supg": if self.wrapper_name == 'mixed_options': # Define new Dirichlet BCs on the wrapper-modified # mixed function space. diff --git a/gusto/time_discretisation/wrappers.py b/gusto/time_discretisation/wrappers.py index a1803cad0..2d388e998 100644 --- a/gusto/time_discretisation/wrappers.py +++ b/gusto/time_discretisation/wrappers.py @@ -334,16 +334,22 @@ class SUPGWrapper(Wrapper): test function space that is used to solve the problem. """ - def setup(self): + def setup(self, field_name): """Sets up function spaces and fields needed for this wrapper.""" assert isinstance(self.options, SUPGOptions), \ 'SUPG wrapper can only be used with SUPG Options' domain = self.time_discretisation.domain + if self.options.suboptions is not None: + self.idx = self.time_discretisation.equation.field_names.index(field_name) + self.test_space = self.time_discretisation.equation.spaces[self.idx] + else: + self.idx = None + self.test_space = self.time_discretisation.fs self.function_space = self.time_discretisation.fs - self.test_space = self.function_space self.x_out = Function(self.function_space) + self.field_name = field_name # -------------------------------------------------------------------- # # Work out SUPG parameter @@ -360,10 +366,10 @@ def setup(self): default_vals = [self.options.default*self.time_discretisation.dt]*dim # check for directions is which the space is discontinuous # so that we don't apply supg in that direction - if is_cg(self.function_space): + if is_cg(self.test_space): vals = default_vals else: - space = self.function_space.ufl_element().sobolev_space + space = self.test_space.ufl_element().sobolev_space if space.name in ["HDiv", "DirectionalH"]: vals = [default_vals[i] if space[i].name == "H1" else 0. for i in range(dim)] @@ -381,8 +387,11 @@ def setup(self): # -------------------------------------------------------------------- # # Set up test function # -------------------------------------------------------------------- # + if self.options.suboptions is not None: + test = self.time_discretisation.equation.tests[self.idx] + else: + test = TestFunction(self.test_space) - test = TestFunction(self.test_space) uadv = Function(domain.spaces('HDiv')) self.test = test + dot(dot(uadv, self.tau), grad(test)) self.transporting_velocity = uadv diff --git a/integration-tests/transport/test_supg_transport.py b/integration-tests/transport/test_supg_transport.py index d55edbd1d..656d6b75a 100644 --- a/integration-tests/transport/test_supg_transport.py +++ b/integration-tests/transport/test_supg_transport.py @@ -13,6 +13,59 @@ def run(timestepper, tmax, f_end): return norm(timestepper.fields("f") - f_end) / norm(f_end) +def run_coupled(timestepper, tmax, f_end): + timestepper.run(0, tmax) + norm1 = norm(timestepper.fields("f1") - f_end) / norm(f_end) + norm2 = norm(timestepper.fields("f2") - f_end) / norm(f_end) + return norm1, norm2 + + +@pytest.mark.parametrize("scheme", ["ssprk", "implicit_midpoint"]) +def test_supg_transport_mixed_scalar(tmpdir, scheme, tracer_setup): + setup = tracer_setup(tmpdir, geometry="slice") + domain = setup.domain + + ibp = IntegrateByParts.TWICE + + opts = SUPGOptions(ibp=ibp) + + tracer1 = ActiveTracer(name='f1', space="theta", + variable_type=TracerVariableType.mixing_ratio, + transport_eqn=TransportEquationType.advective) + tracer2 = ActiveTracer(name='f2', space="theta", + variable_type=TracerVariableType.mixing_ratio, + transport_eqn=TransportEquationType.conservative) + tracers = [tracer1, tracer2] + Vu = domain.spaces("HDiv") + eqn = CoupledTransportEquation(domain, active_tracers=tracers, Vu=Vu) + suboptions = {} + suboptions.update({'f1': [time_derivative, transport]}) + suboptions.update({'f2': None}) + opts = SUPGOptions(suboptions=suboptions) + transport_method = [DGUpwind(eqn, "f1", ibp=ibp), DGUpwind(eqn, "f2", ibp=ibp)] + + if scheme == "ssprk": + transport_scheme = SSPRK3(domain, options=opts) + elif scheme == "implicit_midpoint": + transport_scheme = TrapeziumRule(domain, options=opts) + + time_varying_velocity = False + timestepper = PrescribedTransport( + eqn, transport_scheme, setup.io, time_varying_velocity, transport_method + ) + + # Initial conditions + timestepper.fields("f1").interpolate(setup.f_init) + timestepper.fields("f2").interpolate(setup.f_init) + timestepper.fields("u").project(setup.uexpr) + + error1, error2 = run_coupled(timestepper, setup.tmax, setup.f_end) + assert error1 < setup.tol, \ + 'The transport error for f1 is greater than the permitted tolerance' + assert error2 < setup.tol, \ + 'The transport error for f2 is greater than the permitted tolerance' + + @pytest.mark.parametrize("equation_form", ["advective", "continuity"]) @pytest.mark.parametrize("scheme", ["ssprk", "implicit_midpoint"]) @pytest.mark.parametrize("space", ["CG", "theta"]) @@ -29,28 +82,26 @@ def test_supg_transport_scalar(tmpdir, equation_form, scheme, space, V = domain.spaces("theta") ibp = IntegrateByParts.TWICE - opts = SUPGOptions(ibp=ibp) - if equation_form == "advective": eqn = AdvectionEquation(domain, V, "f") else: eqn = ContinuityEquation(domain, V, "f") + opts = SUPGOptions(ibp=ibp) + transport_method = DGUpwind(eqn, "f", ibp=ibp) + if scheme == "ssprk": transport_scheme = SSPRK3(domain, options=opts) elif scheme == "implicit_midpoint": transport_scheme = TrapeziumRule(domain, options=opts) - transport_method = DGUpwind(eqn, "f", ibp=ibp) time_varying_velocity = False timestepper = PrescribedTransport( eqn, transport_scheme, setup.io, time_varying_velocity, transport_method ) - # Initial conditions timestepper.fields("f").interpolate(setup.f_init) timestepper.fields("u").project(setup.uexpr) - error = run(timestepper, setup.tmax, setup.f_end) assert error < setup.tol, \ 'The transport error is greater than the permitted tolerance' @@ -81,12 +132,14 @@ def test_supg_transport_vector(tmpdir, equation_form, scheme, space, else: eqn = ContinuityEquation(domain, V, "f") + opts = SUPGOptions(ibp=ibp) + transport_method = DGUpwind(eqn, "f", ibp=ibp) + if scheme == "ssprk": transport_scheme = SSPRK3(domain, options=opts) elif scheme == "implicit_midpoint": transport_scheme = TrapeziumRule(domain, options=opts) - transport_method = DGUpwind(eqn, "f", ibp=ibp) time_varying_velocity = False timestepper = PrescribedTransport( eqn, transport_scheme, setup.io, time_varying_velocity, transport_method From dbaed767a8e95d3c5838cc81ab4da6327c1e787a Mon Sep 17 00:00:00 2001 From: Connor Ward Date: Mon, 16 Dec 2024 11:16:49 +0000 Subject: [PATCH 4/6] Fix CI (#589) --- gusto/solvers/preconditioners.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/gusto/solvers/preconditioners.py b/gusto/solvers/preconditioners.py index 685bd430c..1e1e29940 100644 --- a/gusto/solvers/preconditioners.py +++ b/gusto/solvers/preconditioners.py @@ -8,7 +8,6 @@ from firedrake.petsc import PETSc from gusto.recovery.recovery_kernels import AverageKernel, AverageWeightings from pyop2.profiling import timed_region, timed_function -from pyop2.utils import as_tuple from functools import partial @@ -144,7 +143,7 @@ def initialize(self, pc): if isinstance(subdom, str): neumann_subdomains |= set([subdom]) else: - neumann_subdomains |= set(as_tuple(subdom, int)) + neumann_subdomains |= set(subdom) # separate out the top and bottom bcs extruded_neumann_subdomains = neumann_subdomains & {"top", "bottom"} From 9fda3a17172df5e11d8680fcba422a768d1b645c Mon Sep 17 00:00:00 2001 From: Stephen Thomson <10164528+sit23@users.noreply.github.com> Date: Mon, 16 Dec 2024 11:45:49 +0000 Subject: [PATCH 5/6] Possibly a small typo in readme url? (#588) Co-authored-by: Dr Jemma Shipton --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5e1f041e0..935af9cbe 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ These compatible methods underpin the Met Office's next-generation model, [LFRic The best way to install Gusto is as an additional package when installing [Firedrake](http://firedrakeproject.org). Usually, for a Mac with Homebrew or an Ubuntu installation this is done by downloading the Firedrake install script and executing it: ``` -curl -0 https://raw.githubusercontent/com/firedrakeproject/firedrake/master/scripts/firedrake-install +curl -0 https://raw.githubusercontent.com/firedrakeproject/firedrake/master/scripts/firedrake-install python3 firedrake-install --install gusto ``` For an up-to-date installation guide, see the [firedrake installation instructions](http://firedrakeproject.org/download.html). Once installed, Gusto must be run from within the Firedrake virtual environment, which is activated via From 505e47f8da24f393b6238b0e184fcb5983643c0e Mon Sep 17 00:00:00 2001 From: Thomas Bendall Date: Mon, 16 Dec 2024 15:59:28 +0000 Subject: [PATCH 6/6] Add a script to automatically update the KGOs (and update KGOs) (#587) --- ...pt.h5 => boussinesq_compressible_chkpt.h5} | Bin 240842 -> 240842 bytes ....h5 => boussinesq_incompressible_chkpt.h5} | Bin 240842 -> 240842 bytes .../data/dry_compressible_chkpt.h5 | Bin 236052 -> 241020 bytes .../data/linear_sw_wave_chkpt.h5 | Bin 580789 -> 580789 bytes .../data/moist_compressible_chkpt.h5 | Bin 266181 -> 269984 bytes .../data/simult_SIQN_order0_chkpt.h5 | Bin 307842 -> 312258 bytes .../data/simult_SIQN_order1_chkpt.h5 | Bin 277122 -> 279330 bytes integration-tests/data/sw_fplane_chkpt.h5 | Bin 937481 -> 937363 bytes integration-tests/data/update_kgos.py | 112 ++++++++++++++++++ .../equations/test_boussinesq.py | 4 +- 10 files changed, 114 insertions(+), 2 deletions(-) rename integration-tests/data/{compressible_boussinesq_chkpt.h5 => boussinesq_compressible_chkpt.h5} (82%) rename integration-tests/data/{incompressible_boussinesq_chkpt.h5 => boussinesq_incompressible_chkpt.h5} (83%) create mode 100644 integration-tests/data/update_kgos.py diff --git a/integration-tests/data/compressible_boussinesq_chkpt.h5 b/integration-tests/data/boussinesq_compressible_chkpt.h5 similarity index 82% rename from integration-tests/data/compressible_boussinesq_chkpt.h5 rename to integration-tests/data/boussinesq_compressible_chkpt.h5 index 70e10bfd0c3e011cfd5ad4a2e4e9a15bd6958d41..78331ca9610f95a3a9cb242d5ce781424b94dac5 100644 GIT binary patch delta 34612 zcma%j2|ShC7q&6;JY>k!V2(^7>JTDA5k-h*U92{&Uk|>!Y zR6@oKQ8awZz1O{U|M&ZTU%%fy?z7k0d#(4``#gKS`@H8o>t}w}&s=nglGQ%%q~ovu zCB#zpQ_YWmQ6#ufMU(H~BO@athyT|9`6$RJ%E<3jR8mn=-sxz6#&(yzlAOJ=vK(Q{ zrbQa6^-=Jen<(N58O+tpxSxOgJFc#VN-Kf!pcgq*L=zB}*_`}Tj^|BR?JQOLLWL)PuTeG-^I{^T<&OJ@JS 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