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Article Dans Une Revue The Cryosphere Année : 2024

Multivariate State And Parameter Estimation With Data Assimilation Applied To Sea-Ice Models Using A Maxwell Elasto-Brittle Rheology

Yumeng Chen
  • Fonction : Auteur
Polly Smith
  • Fonction : Auteur
Alberto Carrassi
  • Fonction : Auteur
Ivo Pasmans
  • Fonction : Auteur
Laurent Bertino
  • Fonction : Auteur
Marc Bocquet
  • Fonction : Auteur
EDF
Tobias Sebastian Finn
  • Fonction : Auteur
EDF

Résumé

In this study, we investigate the fully multivariate state and parameter estimation through idealised simulations of a dynamics-only model that uses the novel Maxwell elasto-brittle (MEB) sea-ice rheology and in which we estimate not only the sea-ice concentration, thickness and velocity, but also its level of damage, internal stress and cohesion. Specifically, we estimate the air drag coefficient and the so-called damage parameter of the MEB model. Mimicking the realistic observation network with different combinations of observations, we demonstrate that various issues can potentially arise in a complex sea-ice model, especially in instances for which the external forcing dominates the model forecast error growth. Even though further investigation will be needed using an operational (a coupled dynamics–thermodynamics) sea-ice model, we show that, with the current observation network, it is possible to improve both the observed and the unobserved model state forecast and parameter accuracy.
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insu-04604398 , version 1 (07-06-2024)

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Yumeng Chen, Polly Smith, Alberto Carrassi, Ivo Pasmans, Laurent Bertino, et al.. Multivariate State And Parameter Estimation With Data Assimilation Applied To Sea-Ice Models Using A Maxwell Elasto-Brittle Rheology. The Cryosphere, 2024, 18, pp.2381-2406. ⟨10.5194/tc-18-2381-2024⟩. ⟨insu-04604398⟩
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