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Global cabration MWE bucket model LHF #871

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AlexisRenchon opened this issue Oct 21, 2024 · 1 comment · May be fixed by #835
Open

Global cabration MWE bucket model LHF #871

AlexisRenchon opened this issue Oct 21, 2024 · 1 comment · May be fixed by #835
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@AlexisRenchon
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Write a minimal working example to calibrate latent heat flux (LHF) globally via bucket model.

  • 6 free parameters: K_soil, rhoc_soil, W_f, f_bucket, p, z_0m (=z_0b)
  • each parameter is constant globally
  • we calibrate on ~100 columns (single sites), to get the best parameter ensembles
  • we use default configuration (e.g., default loss function)
  • we use ERA5 data, monthly time resolution, 1 year period
  • we use EnsembleKalmanProcesses.jl (EKP), we use EKP Observations object
  • simulation write ClimaDiagnostics netcdf files, we use EKP methods to stack columns

PR: #835
@AlexisRenchon AlexisRenchon self-assigned this Oct 21, 2024
@AlexisRenchon AlexisRenchon linked a pull request Oct 22, 2024 that will close this issue
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Notes:

  • No need to write all diagnostics, just lhf and shf
  • cov() should be variability of each individual month, 1 by 1
  • more locations, but enforce being on land
  • more iterations and ensemble
  • rethink priors distributions with Kat

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Calibrate global bucket LHF and SHF CliMA/ClimaLand.jl
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