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using OrdinaryDiffEq | ||
using Trixi | ||
using TrixiAtmo | ||
using TrixiAtmo: flux_LMARS, source_terms_bubble, flux_theta | ||
using Plots | ||
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function initial_condition_warm_bubble(x, t, equations::CompressiblePotentialEulerEquations2D) | ||
g = equations.g | ||
c_p = equations.c_p | ||
c_v = equations.c_v | ||
# center of perturbation | ||
center_x = 10000.0 | ||
center_z = 2000.0 | ||
# radius of perturbation | ||
radius = 2000.0 | ||
# distance of current x to center of perturbation | ||
r = sqrt((x[1] - center_x)^2 + (x[2] - center_z)^2) | ||
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# perturbation in potential temperature | ||
potential_temperature_ref = 300.0 | ||
potential_temperature_perturbation = 0.0 | ||
if r <= radius | ||
potential_temperature_perturbation = 2 * cospi(0.5 * r / radius)^2 | ||
end | ||
potential_temperature = potential_temperature_ref + potential_temperature_perturbation | ||
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# Exner pressure, solves hydrostatic equation for x[2] | ||
exner = 1 - g / (c_p * potential_temperature_ref) * x[2] | ||
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# pressure | ||
p_0 = 100_000.0 # reference pressure | ||
R = c_p - c_v # gas constant (dry air) | ||
p = p_0 * exner^(c_p / R) | ||
T = potential_temperature * exner | ||
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# density | ||
rho = p / (R * T) | ||
v1 = 20.0 | ||
v2 = 0.0 | ||
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return SVector(rho, rho * v1, rho * v2, rho * potential_temperature) | ||
end | ||
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############################################################################### | ||
# semidiscretization of the compressible Euler equations | ||
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equations = CompressiblePotentialEulerEquations2D() | ||
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boundary_conditions = (x_neg = boundary_condition_periodic, | ||
x_pos = boundary_condition_periodic, | ||
y_neg = boundary_condition_slip_wall, | ||
y_pos = boundary_condition_slip_wall) | ||
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polydeg = 3 | ||
basis = LobattoLegendreBasis(polydeg) | ||
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surface_flux = flux_LMARS | ||
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volume_flux = flux_theta | ||
volume_integral = VolumeIntegralFluxDifferencing(volume_flux) | ||
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solver = DGSEM(basis, surface_flux, volume_integral) | ||
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coordinates_min = (0.0, 0.0) | ||
coordinates_max = (20_000.0, 10_000.0) | ||
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cells_per_dimension = (32, 16) | ||
mesh = StructuredMesh(cells_per_dimension, coordinates_min, coordinates_max, | ||
periodicity = (true, false)) | ||
initial_condition = initial_condition_warm_bubble | ||
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semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver, | ||
source_terms = source_terms_bubble, | ||
boundary_conditions = boundary_conditions) | ||
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############################################################################### | ||
# ODE solvers, callbacks etc. | ||
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tspan = (0.0, 1000.0) # 1000 seconds final time | ||
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ode = semidiscretize(semi, tspan) | ||
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summary_callback = SummaryCallback() | ||
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analysis_interval = 1000 | ||
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analysis_callback = AnalysisCallback(semi, interval = analysis_interval, | ||
extra_analysis_errors = (:entropy_conservation_error,)) | ||
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alive_callback = AliveCallback(analysis_interval = analysis_interval) | ||
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save_solution = SaveSolutionCallback(interval = analysis_interval, | ||
save_initial_solution = true, | ||
save_final_solution = true, | ||
output_directory = "out", | ||
solution_variables = cons2prim) | ||
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stepsize_callback = StepsizeCallback(cfl = 1.0) | ||
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callbacks = CallbackSet(summary_callback, | ||
analysis_callback, | ||
alive_callback, | ||
save_solution, | ||
stepsize_callback) | ||
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############################################################################### | ||
# run the simulation | ||
sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false), | ||
maxiters = 1.0e7, | ||
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback | ||
save_everystep = false, callback = callbacks); | ||
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summary_callback() |
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