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Merge pull request #385 from CliMA/al/aida_calibrations
AIDA homogeneous ice nucleation calibrations
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| [deps] | ||
| CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0" | ||
| ClimaParams = "5c42b081-d73a-476f-9059-fd94b934656c" | ||
| ClimaUtilities = "b3f4f4ca-9299-4f7f-bd9b-81e1242a7513" | ||
| CloudMicrophysics = "6a9e3e04-43cd-43ba-94b9-e8782df3c71b" | ||
| Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f" | ||
| EnsembleKalmanProcesses = "aa8a2aa5-91d8-4396-bcef-d4f2ec43552d" | ||
| LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e" | ||
| OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed" | ||
| Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" | ||
| SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b" | ||
| Thermodynamics = "b60c26fb-14c3-4610-9d3e-2d17fe7ff00c" |
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| import ClimaParams as CP | ||
| import CloudMicrophysics as CM | ||
| import CloudMicrophysics.Parameters as CMP | ||
| import Thermodynamics as TD | ||
| import CairoMakie as MK | ||
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| # To grab data | ||
| import DelimitedFiles | ||
| using LazyArtifacts | ||
| using ClimaUtilities.ClimaArtifacts | ||
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| FT = Float64 | ||
| include(joinpath(pkgdir(CM), "papers", "ice_nucleation_2024", "calibration.jl")) | ||
| ips = CMP.IceNucleationParameters(FT) | ||
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| function unpack_data(data_file_name) | ||
| file_path = CM.ArtifactCalling.AIDA_ice_nucleation(data_file_name) | ||
| return DelimitedFiles.readdlm(file_path, skipstart = 125) | ||
| end | ||
| moving_average(data, n) = | ||
| [sum(@view data[i:(i + n - 1)]) / n for i in 1:(length(data) - (n - 1))] | ||
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| data_file_names = ["in05_17_aida.edf", "in05_18_aida.edf", "in05_19_aida.edf"] | ||
| plot_names = ["IN0517", "IN0518", "IN0519"] | ||
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| start_time_list = [195, 180, 80] .+ 100 # AIDA time starts at -100 seconds. Add freezing onset as needed. | ||
| end_time_list = [290, 290, 170] .+ 100 # approximate time freezing stops | ||
| moving_average_n = 20 # average every n points | ||
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| updrafts = [FT(1.5), FT(1.4), FT(5)] | ||
| tps = TD.Parameters.ThermodynamicsParameters(FT) | ||
| R_v = TD.Parameters.R_v(tps) | ||
| R_d = TD.Parameters.R_d(tps) | ||
| ϵₘ = R_d / R_v | ||
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| for (exp_index, data_file_name) in enumerate(data_file_names) | ||
| #! format: off | ||
| ### Unpacking experiment-specific variables | ||
| plot_name = plot_names[exp_index] | ||
| w = updrafts[exp_index] | ||
| start_time = start_time_list[exp_index] | ||
| end_time = end_time_list[exp_index] | ||
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| ## Moving average to smooth data | ||
| moving_average_start = Int32(start_time + (moving_average_n / 2 - 1)) | ||
| moving_average_end = Int32(end_time - (moving_average_n / 2)) | ||
| t_max = | ||
| (end_time - 100 - (moving_average_n / 2)) - # AIDA time starts at -100 seconds (t = 0 at index 101) | ||
| (start_time - 100 + (moving_average_n / 2 - 1)) # duration of simulation | ||
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| params = AIDA_IN05_params(FT, w, t_max) | ||
| IC = AIDA_IN05_IC(FT, data_file_name) | ||
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| ### Check for data file in AIDA_data folder. | ||
| chamber_data = unpack_data(data_file_name) | ||
| ICNC = chamber_data[start_time:end_time, 6] .* 1e6 # Nᵢ [m^-3] | ||
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| frozen_frac = ICNC ./ (IC[7] + IC[8] + IC[9]) | ||
| frozen_frac_moving_mean = moving_average(frozen_frac, moving_average_n) | ||
| ICNC_moving_avg = moving_average(ICNC, moving_average_n) | ||
| Γ = 0.15 * LinearAlgebra.I * (maximum(frozen_frac_moving_mean) - minimum(frozen_frac_moving_mean)) # coeff is an estimated of the noise | ||
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| ### Plotting AIDA data. | ||
| AIDA_data_fig = MK.Figure(size = (800, 600), fontsize = 24) | ||
| ax1 = MK.Axis(AIDA_data_fig[1, 1], ylabel = "ICNC [m^-3]", xlabel = "time [s]", title = "AIDA data $plot_name") | ||
| MK.lines!( | ||
| ax1, | ||
| chamber_data[start_time:end_time, 1], | ||
| ICNC, | ||
| label = "Raw AIDA", | ||
| color =:blue, | ||
| linestyle =:dash, | ||
| linewidth = 2, | ||
| ) | ||
| MK.lines!( | ||
| ax1, | ||
| chamber_data[moving_average_start:moving_average_end, 1], | ||
| ICNC_moving_avg, | ||
| label = "AIDA moving mean", | ||
| linewidth = 2.5, | ||
| color =:blue, | ||
| ) | ||
| MK.axislegend(ax1, framevisible = true, labelsize = 12, position = :rc) | ||
| MK.save("$plot_name"*"_ICNC.svg", AIDA_data_fig) | ||
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| ### Calibration. | ||
| output = calibrate_J_parameters(FT, "ABHOM", params, IC, frozen_frac_moving_mean, Γ) | ||
| n_iterations = size(output[3])[1] | ||
| n_ensembles = size(output[3][1])[2] | ||
| calibrated_parameters = [output[1], output[2]] | ||
| calibrated_ensemble_means = ensemble_means(output[3], n_iterations, n_ensembles) | ||
| # Calibrated parcel | ||
| parcel = run_calibrated_model(FT, "ABHOM", calibrated_parameters, params, IC) | ||
| #parcel_default = run_calibrated_model(FT, "ABHOM", [FT(255.927125), FT(-68.553283)], params, IC) | ||
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| ### Plots. | ||
| ## Calibrated coefficients. | ||
| # Did they converge? | ||
| calibrated_coeffs_fig = MK.Figure(size = (600, 600), fontsize = 24) | ||
| ax3 = MK.Axis(calibrated_coeffs_fig[1, 1], ylabel = "m coefficient [-]", title = "$plot_name") | ||
| ax4 = MK.Axis(calibrated_coeffs_fig[2, 1], ylabel = "c coefficient [-]", xlabel = "iteration #") | ||
| MK.lines!(ax3, collect(1:n_iterations), calibrated_ensemble_means[1], label = "ensemble mean", color = :orange, linewidth = 2.5) | ||
| MK.lines!(ax4, collect(1:n_iterations), calibrated_ensemble_means[2], label = "ensemble mean", color = :orange, linewidth = 2.5) | ||
| MK.save("$plot_name"*"_calibrated_coeffs_fig.svg", calibrated_coeffs_fig) | ||
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| ## Calibrated parcel simulations. | ||
| # Does the calibrated parcel give reasonable outputs? | ||
| tps = TD.Parameters.ThermodynamicsParameters(FT) | ||
| chamber_S_l = zeros(FT, size(chamber_data[start_time:end_time, 4], 1), size(chamber_data[start_time:end_time, 4], 2)) | ||
| for (i, e) in enumerate(chamber_data[start_time:end_time, 4]) | ||
| temp = chamber_data[start_time:end_time, 3][i] | ||
| eₛ = TD.saturation_vapor_pressure(tps, temp, TD.Liquid()) | ||
| chamber_S_l[i] = e / eₛ | ||
| end | ||
| chamber_r_l = zeros(FT, size(chamber_data[start_time:end_time, 8], 1), size(chamber_data[start_time:end_time, 8], 2)) | ||
| for (i, r_l) in enumerate(chamber_data[start_time:end_time, 8] .* 1e-6) | ||
| chamber_r_l[i] = r_l < 0 ? FT(0) : r_l | ||
| end | ||
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| calibrated_parcel_fig = MK.Figure(size = (1500, 800), fontsize = 20) | ||
| ax_parcel_1 = MK.Axis(calibrated_parcel_fig[1, 1], ylabel = "saturation [-]", xlabel = "time [s]", title = "$plot_name") | ||
| ax_parcel_2 = MK.Axis(calibrated_parcel_fig[2, 1], ylabel = "liq mixing ratio [g/kg]", xlabel = "time [s]") | ||
| ax_parcel_3 = MK.Axis(calibrated_parcel_fig[1, 2], ylabel = "temperature [K]", xlabel = "time [s]") | ||
| ax_parcel_4 = MK.Axis(calibrated_parcel_fig[2, 2], ylabel = "qᵢ [g/kg]", xlabel = "time [s]") | ||
| ax_parcel_5 = MK.Axis(calibrated_parcel_fig[3, 1], ylabel = "Nₗ [m^-3]", xlabel = "time [s]") | ||
| ax_parcel_6 = MK.Axis(calibrated_parcel_fig[3, 2], ylabel = "Nᵢ [m^-3]", xlabel = "time [s]") | ||
| ax_parcel_7 = MK.Axis(calibrated_parcel_fig[1, 3], ylabel = "pressure [Pa]", xlabel = "time [s]") | ||
| ax_parcel_8 = MK.Axis(calibrated_parcel_fig[2, 3], ylabel = "Nₐ [m^-3]", xlabel = "time [s]") | ||
| MK.lines!(ax_parcel_1, parcel.t .+ (moving_average_n / 2), parcel[1, :], label = "calibrated", color = :orange) # label = "liquid" | ||
| #MK.lines!(ax_parcel_1, parcel_default.t .+ (moving_average_n / 2), parcel_default[1, :], label = "default", color = :darkorange2) | ||
| MK.lines!(ax_parcel_1, parcel.t .+ (moving_average_n / 2), S_i.(tps, parcel[3, :], parcel[1, :]), label = "ice", color = :green) | ||
| # MK.lines!( | ||
| # ax_parcel_1, | ||
| # chamber_data[start_time:end_time, 1] .- (start_time - 100), | ||
| # vec(chamber_S_l), | ||
| # label = "chamber", | ||
| # color = :blue | ||
| # ) | ||
| MK.lines!(ax_parcel_2, parcel.t .+ (moving_average_n / 2), parcel[5, :], color = :orange) | ||
| #MK.lines!(ax_parcel_2, parcel_default.t .+ (moving_average_n / 2), parcel_default[5,:], color = :darkorange2) | ||
| MK.lines!(ax_parcel_3, parcel.t .+ (moving_average_n / 2), parcel[3, :], color = :orange) | ||
| #MK.lines!(ax_parcel_3, parcel_default.t .+ (moving_average_n / 2), parcel_default[3, :], color = :darkorange2) | ||
| MK.lines!( | ||
| ax_parcel_3, | ||
| chamber_data[start_time:end_time, 1] .- (start_time - 100), | ||
| chamber_data[start_time:end_time, 3], | ||
| color = :blue | ||
| ) | ||
| MK.lines!(ax_parcel_4, parcel.t .+ (moving_average_n / 2), parcel[6, :], color = :orange) | ||
| #MK.lines!(ax_parcel_4, parcel_default.t .+ (moving_average_n / 2), parcel_default[6, :], color = :darkorange2) | ||
| MK.lines!(ax_parcel_5, parcel.t .+ (moving_average_n / 2), parcel[8, :], color = :orange) | ||
| #MK.lines!(ax_parcel_5, parcel_default.t .+ (moving_average_n / 2), parcel_default[8, :], color = :darkorange2) | ||
| MK.lines!(ax_parcel_6, parcel.t .+ (moving_average_n / 2), parcel[9, :], color = :orange) | ||
| # MK.lines!(ax_parcel_6, parcel_default.t .+ (moving_average_n / 2), parcel_default[9, :], color = :darkorange2) | ||
| MK.lines!(ax_parcel_6, | ||
| chamber_data[start_time:end_time, 1] .- (start_time - 100), | ||
| ICNC, | ||
| color = :blue | ||
| ) | ||
| MK.lines!(ax_parcel_7, parcel.t .+ (moving_average_n / 2), parcel[2, :], color = :orange) | ||
| MK.lines!( | ||
| ax_parcel_7, | ||
| chamber_data[start_time:end_time, 1] .- (start_time - 100), | ||
| chamber_data[start_time:end_time, 2] .* 1e2, | ||
| color = :blue | ||
| ) | ||
| MK.lines!(ax_parcel_8, parcel.t .+ (moving_average_n / 2), parcel[7, :], color = :orange) | ||
| MK.save("$plot_name"*"_calibrated_parcel_fig.svg", calibrated_parcel_fig) | ||
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| ## Comparing AIDA data and calibrated parcel. | ||
| # Does calibrated parcel look like observations? | ||
| ICNC_comparison_fig = MK.Figure(size = (700, 600), fontsize = 24) | ||
| ax_compare = MK.Axis(ICNC_comparison_fig[1, 1], ylabel = "Frozen Fraction [-]", xlabel = "time [s]", title = "$plot_name") | ||
| # MK.lines!( | ||
| # ax_compare, | ||
| # parcel_default.t .+ (moving_average_n / 2), | ||
| # parcel_default[9, :]./ (IC[7] + IC[8] + IC[9]), # IC[8] if starting with droplets (no aerosol activation) | ||
| # label = "CM.jl Parcel (Pre-Calib)", | ||
| # linewidth = 2.5, | ||
| # color =:orangered, | ||
| # ) | ||
| MK.lines!( | ||
| ax_compare, | ||
| parcel.t .+ (moving_average_n / 2), | ||
| parcel[9, :]./ (IC[7] + IC[8] + IC[9]), # IC[8] if starting with droplets (no aerosol activation) | ||
| label = "CM.jl Parcel (Calibrated)", | ||
| linewidth = 2.5, | ||
| color =:orange, | ||
| ) | ||
| MK.lines!( | ||
| ax_compare, | ||
| chamber_data[start_time:end_time, 1] .- (start_time - 100), | ||
| frozen_frac, | ||
| label = "Raw AIDA", | ||
| linewidth = 2, | ||
| color =:blue, | ||
| linestyle =:dash, | ||
| ) | ||
| MK.lines!( | ||
| ax_compare, | ||
| chamber_data[moving_average_start:moving_average_end, 1] .- (start_time - 100), | ||
| frozen_frac_moving_mean, | ||
| label = "AIDA Moving Avg", | ||
| linewidth = 2.5, | ||
| color =:blue | ||
| ) | ||
| MK.axislegend(ax_compare, framevisible = false, labelsize = 20, position = :lt) | ||
| MK.save("$plot_name"*"_ICNC_comparison_fig.svg", ICNC_comparison_fig) | ||
|
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| #! format: on | ||
| end |
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