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add vertical fluctuation and nudging
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config/model_configs/prognostic_edmfx_gcmdriven_column.yml
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job_id: "prognostic_edmfx_gcmdriven_column" | ||
initial_condition: "Bomex" | ||
subsidence: "Bomex" | ||
edmf_coriolis: "Bomex" | ||
ls_adv: "GCMDriven" | ||
vert_fluc: "GCMDriven" | ||
nudging: "GCMDriven" | ||
surface_setup: "Bomex" | ||
turbconv: "prognostic_edmfx" | ||
implicit_diffusion: true | ||
implicit_sgs_advection: true | ||
approximate_linear_solve_iters: 2 | ||
max_newton_iters_ode: 3 | ||
edmfx_upwinding: first_order | ||
edmfx_entr_model: "Generalized" | ||
edmfx_detr_model: "Generalized" | ||
edmfx_sgs_mass_flux: true | ||
edmfx_sgs_diffusive_flux: true | ||
edmfx_nh_pressure: true | ||
edmfx_velocity_relaxation: true | ||
prognostic_tke: true | ||
moist: "equil" | ||
config: "column" | ||
z_max: 3e3 | ||
z_elem: 60 | ||
z_stretch: false | ||
perturb_initstate: false | ||
dt: "50secs" | ||
t_end: "6hours" | ||
dt_save_to_disk: "10mins" | ||
toml: [toml/prognostic_edmfx_bomex.toml] | ||
netcdf_output_at_levels: true | ||
netcdf_interpolation_num_points: [2, 2, 60] | ||
diagnostics: | ||
- short_name: [ts, ta, thetaa, ha, pfull, rhoa, ua, va, wa, hur, hus, cl, clw, cli, hussfc, evspsbl] | ||
period: 10mins | ||
- short_name: [arup, waup, taup, thetaaup, haup, husup, hurup, clwup, cliup, waen, taen, thetaaen, haen, husen, huren, clwen, clien, tke] | ||
period: 10mins | ||
- short_name: [entr, detr, lmix, bgrad, strain, edt, evu] | ||
period: 10mins |
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##### | ||
##### Nudging/relaxation tendency for GCM-driven SCM | ||
##### | ||
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import ClimaCore.Fields as Fields | ||
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nudging_cache(Y, atmos::AtmosModel) = | ||
nudging_cache(Y, atmos.nudging) | ||
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nudging_cache(Y, ::Nothing) = (;) | ||
nudging_tendency!(Yₜ, Y, p, t, colidx, ::Nothing) = nothing | ||
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function nudging_cache(Y, ::Nudging) | ||
FT = Spaces.undertype(axes(Y.c)) | ||
ᶜT_mean = similar(Y.c, FT) | ||
ᶜq_tot_mean = similar(Y.c, FT) | ||
ᶜu_mean = similar(Y.c, FT) | ||
ᶜv_mean = similar(Y.c, FT) | ||
@. ᶜT_mean = 290 | ||
@. ᶜq_tot_mean = 0.010 | ||
@. ᶜu_mean = 5 | ||
@. ᶜv_mean = 0 | ||
hr = 3600 | ||
ᶜτ_scalar = 6hr | ||
ᶜτ_wind = 1hr | ||
return (; | ||
ᶜτ_scalar, | ||
ᶜτ_wind, | ||
ᶜT_mean, | ||
ᶜq_tot_mean, | ||
ᶜu_mean, | ||
ᶜv_mean, | ||
) | ||
end | ||
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function nudging_tendency!(Yₜ, Y, p, t, colidx, ::Nudging) | ||
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thermo_params = CAP.thermodynamics_params(p.params) | ||
T_0 = TD.Parameters.T_0(thermo_params) | ||
Lv_0 = TD.Parameters.LH_v0(thermo_params) | ||
cv_v = TD.Parameters.cv_v(thermo_params) | ||
R_v = TD.Parameters.R_v(thermo_params) | ||
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(; ᶜu_mean, ᶜv_mean, ᶜτ_wind, ᶜτ_scalar, ᶜT_mean, ᶜq_tot_mean) = p.nudging | ||
(; ᶜspecific, ᶜts) = p.precomputed | ||
ᶜlg = Fields.local_geometry_field(Y.c) | ||
ᶜuₕ_mean_colidx = C12(Geometry.UVVector(ᶜu_mean[colidx], ᶜv_mean[colidx]), ᶜlg[colidx]) | ||
@. Yₜ.c.uₕ[colidx] -= (Y.c.uₕ[colidx] - ᶜuₕ_mean_colidx) / ᶜτ_wind | ||
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dTdt_nudging = p.scratch.ᶜtemp_scalar | ||
dqtdt_nudging = p.scratch.ᶜtemp_scalar_2 | ||
@. dTdt_nudging[colidx] = - (TD.air_temperature(thermo_params, ᶜts[colidx]) - ᶜT_mean[colidx]) / ᶜτ_scalar | ||
@. dqtdt_nudging[colidx] = - (ᶜspecific.q_tot[colidx] - ᶜq_tot_mean[colidx]) / ᶜτ_scalar | ||
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@. Yₜ.c.ρq_tot[colidx] += Y.c.ρ[colidx] * dqtdt_nudging[colidx] | ||
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@. Yₜ.c.ρe_tot[colidx] += | ||
Y.c.ρ[colidx] * ( | ||
TD.cp_m(thermo_params, ᶜts) * ᶜdTdt_nudging[colidx] + ( | ||
cv_v * (TD.air_temperature(thermo_params, ᶜts[colidx]) - T_0) + Lv_0 - | ||
R_v * T_0 | ||
) * ᶜdqtdt_nudging[colidx] | ||
) | ||
end |
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##### | ||
##### Vertical fluctuation (for single column experiments) | ||
##### | ||
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import Thermodynamics as TD | ||
import ClimaCore.Spaces as Spaces | ||
import ClimaCore.Fields as Fields | ||
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vertical_fluctuation_cache(Y, atmos::AtmosModel) = | ||
vertical_fluctuation_cache(Y, atmos.vert_fluc) | ||
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vertical_fluctuation_cache(Y, vert_fluc::Nothing) = (;) | ||
function vertical_fluctuation_cache(Y, vert_fluc::VerticalFluctuation) | ||
FT = Spaces.undertype(axes(Y.c)) | ||
return (; ᶜdqtdt_fluc = similar(Y.c, FT), ᶜdTdt_fluc = similar(Y.c, FT)) | ||
end | ||
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vertical_fluctuation_tendency!(Yₜ, Y, p, t, colidx, ::Nothing) = nothing | ||
function vertical_fluctuation_tendency!( | ||
Yₜ, | ||
Y, | ||
p, | ||
t, | ||
colidx, | ||
vert_fluc::VerticalFluctuation, | ||
) | ||
(; prof_dTdt, prof_dqtdt) = vert_fluc | ||
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thermo_params = CAP.thermodynamics_params(p.params) | ||
ᶜts = p.precomputed.ᶜts[colidx] | ||
ᶜdqtdt_fluc = p.vertical_fluctuation.ᶜdqtdt_fluc[colidx] | ||
ᶜdTdt_fluc = p.vertical_fluctuation.ᶜdTdt_fluc[colidx] | ||
z = Fields.coordinate_field(axes(ᶜdqtdt_fluc)).z | ||
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@. ᶜdTdt_fluc = prof_dTdt(thermo_params, ᶜts, t, z) | ||
@. ᶜdqtdt_fluc = prof_dqtdt(thermo_params, ᶜts, t, z) | ||
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T_0 = TD.Parameters.T_0(thermo_params) | ||
Lv_0 = TD.Parameters.LH_v0(thermo_params) | ||
cv_v = TD.Parameters.cv_v(thermo_params) | ||
R_v = TD.Parameters.R_v(thermo_params) | ||
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@. Yₜ.c.ρq_tot[colidx] += Y.c.ρ[colidx] * ᶜdqtdt_fluc | ||
# TODO: should `hv` be a thermo function? | ||
# (hv = cv_v * (ᶜT - T_0) + Lv_0 - R_v * T_0) | ||
@. Yₜ.c.ρe_tot[colidx] += | ||
Y.c.ρ[colidx] * ( | ||
TD.cp_m(thermo_params, ᶜts) * ᶜdTdt_fluc + | ||
( | ||
cv_v * (TD.air_temperature(thermo_params, ᶜts) - T_0) + Lv_0 - | ||
R_v * T_0 | ||
) * ᶜdqtdt_fluc | ||
) | ||
return nothing | ||
end |
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