Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology

Autor: Y. Chen, P. Smith, A. Carrassi, I. Pasmans, L. Bertino, M. Bocquet, T. S. Finn, P. Rampal, V. Dansereau
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: The Cryosphere, Vol 18, Pp 2381-2406 (2024)
Druh dokumentu: article
ISSN: 1994-0416
1994-0424
DOI: 10.5194/tc-18-2381-2024
Popis: 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.
Databáze: Directory of Open Access Journals
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