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

Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Smith, P. ORCID: https://orcid.org/0000-0003-4570-4127, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Pasmans, I. ORCID: https://orcid.org/0000-0001-5076-5421, Bertino, L., Bocquet, M., Sebastian Finn, T., Rampal, P. and Dansereau, V. (2024) Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology. The Cryosphere, 18 (5). pp. 2381-2406. ISSN 1994-0424 doi: 10.5194/tc-18-2381-2024

Abstract/Summary

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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/116449
Identification Number/DOI	10.5194/tc-18-2381-2024
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO) Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	European Geosciences Union
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