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Fluxnet and global run documentation #1288
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,140 @@ | ||
| # # Global bucket run | ||
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|
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| # The code sets up and runs the bucket model on a spherical domain, | ||
| # using ERA5 data. | ||
|
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||
| # First we import a lot of packages: | ||
| import ClimaComms | ||
| using ClimaCore | ||
| using ClimaUtilities | ||
| import Interpolations | ||
| import ClimaUtilities.TimeVaryingInputs: | ||
| TimeVaryingInput, LinearInterpolation, PeriodicCalendar | ||
| ClimaComms.@import_required_backends | ||
| import ClimaTimeSteppers as CTS | ||
| import ClimaParams as CP | ||
| using ClimaLand.Bucket: | ||
| BucketModel, BucketModelParameters, PrescribedBaregroundAlbedo | ||
| import ClimaLand | ||
| import ClimaLand.Parameters as LP | ||
| import ClimaLand.Simulations: LandSimulation, solve! | ||
| using Dates | ||
| using CairoMakie, ClimaAnalysis, GeoMakie, Poppler_jll, Printf, StatsBase | ||
| import ClimaLand.LandSimVis as LandSimVis; | ||
|
|
||
| # Set the simulation float type, determine the | ||
| # context (MPI or on a single node), and device type. Create | ||
| # a default output directory for diagnostics. | ||
| const FT = Float64; | ||
| context = ClimaComms.context() | ||
| ClimaComms.init(context) | ||
| device = ClimaComms.device() | ||
| device_suffix = device isa ClimaComms.CPUSingleThreaded ? "cpu" : "gpu" | ||
| root_path = "bucket_longrun_$(device_suffix)" | ||
| diagnostics_outdir = joinpath(root_path, "global_diagnostics") | ||
| outdir = | ||
| ClimaUtilities.OutputPathGenerator.generate_output_path(diagnostics_outdir); | ||
|
|
||
| # Set timestep, start_date, stop_date: | ||
| Δt = 900.0 | ||
| start_date = DateTime(2008) | ||
| stop_date = DateTime(2009); | ||
|
|
||
| # Create the domain - this is intentionally low resolution, | ||
| # about 4.5 degrees x 4.5 degrees, to run quickly | ||
| # when making the documentation on CPU. | ||
| nelements = (20, 7) | ||
| depth = FT(3.5) | ||
| dz_tuple = FT.((1.0, 0.05)) | ||
| domain = | ||
| ClimaLand.Domains.global_domain(FT; context, nelements, depth, dz_tuple); | ||
|
|
||
| # Parameters: | ||
| earth_param_set = LP.LandParameters(FT) | ||
| α_snow = FT(0.8) | ||
| albedo = PrescribedBaregroundAlbedo{FT}(α_snow, domain.space.surface) | ||
| bucket_parameters = BucketModelParameters( | ||
| FT; | ||
| albedo, | ||
| σS_c = FT(0.2), | ||
| W_f = FT(0.2), | ||
| z_0m = FT(1e-3), | ||
| z_0b = FT(1e-3), | ||
| κ_soil = FT(1.5), | ||
| ρc_soil = FT(2e6), | ||
| τc = FT(float(Δt)), | ||
| ); | ||
|
|
||
| # Low-resolution forcing data from ERA5 is used here, | ||
| # but high-resolution should be used for production runs. | ||
| era5_ncdata_path = ClimaLand.Artifacts.era5_land_forcing_data2008_path(; | ||
| context, | ||
| lowres = true, | ||
| ) | ||
| atmos, radiation = ClimaLand.prescribed_forcing_era5( | ||
| era5_ncdata_path, | ||
| domain.space.surface, | ||
| start_date, | ||
| earth_param_set, | ||
| FT; | ||
| max_wind_speed = 25.0, | ||
| time_interpolation_method = LinearInterpolation(PeriodicCalendar()), | ||
| regridder_type = :InterpolationsRegridder, | ||
| ); | ||
|
|
||
| # Make the model: | ||
| bucket = BucketModel( | ||
| parameters = bucket_parameters, | ||
| domain = domain, | ||
| atmosphere = atmos, | ||
| radiation = radiation, | ||
| ); | ||
|
|
||
| # Create a function which sets the initial conditions. | ||
| # This should have the argument structure (Y,p,t, model) | ||
| # in order to be used by the `LandSimulation` struct, below: | ||
| function set_ic!(Y, p, t, bucket) | ||
| coords = ClimaCore.Fields.coordinate_field(Y.bucket.T) | ||
| T_sfc_0 = 271.0 | ||
| @. Y.bucket.T = T_sfc_0 + 40 * cosd(coords.lat)^4 | ||
| Y.bucket.W .= 0.15 | ||
| Y.bucket.Ws .= 0.0 | ||
| Y.bucket.σS .= 0.0 | ||
| end | ||
|
|
||
| # Define timestepper and ODE algorithm | ||
| timestepper = CTS.RK4() | ||
| timestepper = CTS.ExplicitAlgorithm(timestepper); | ||
|
|
||
| # Create the simulation and solve it: | ||
| simulation = LandSimulation( | ||
| start_date, | ||
| stop_date, | ||
| Δt, | ||
| bucket; | ||
| set_ic!, | ||
| timestepper, | ||
| outdir, | ||
| ); | ||
|
|
||
| solve!(simulation); | ||
|
|
||
| # Make some plots: | ||
| short_names = ["tsfc", "lhf", "shf", "wsoil"] | ||
|
|
||
| LandSimVis.make_annual_timeseries( | ||
| simulation; | ||
| savedir = ".", | ||
| short_names, | ||
| plot_name = "bucket_annual_timeseries.pdf", | ||
| ) | ||
| #  | ||
|
|
||
| LandSimVis.make_heatmaps( | ||
| simulation; | ||
| savedir = ".", | ||
| short_names, | ||
| date = stop_date, | ||
| plot_name = "bucket_figures.pdf", | ||
| ) | ||
| #  |
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APIs currently has two nested ClimaLand
we should remove the ClimaLand fold (there's only one fold)