Comment on egusphere-2026-742

Résumé fourni par la source

Abstract. Climate change has significantly affected the Arctic over the satellite era, with sea ice undergoing a substantial decline. While changes in sea ice concentration (SIC) and sea ice extent (SIE) have been widely studied, sea ice thickness (SIT) and volume (SIV) remain less well constrained due to limited observations. Quantifying SIV trends is particularly important for understanding sea ice changes in response to climate change. Here we present three reanalyses that assimilate different combinations of SIC and SIT products, including year-round SIT observations, into the CPOM-CICE sea ice model, which incorporates advanced parameterisations for melt ponds, form drag, and rheology. Assimilating NASA Team SIC together with year-round SIT substantially improves SIT estimates, and year-round SIT assimilation outperforms winter-only SIT assimilation, even at the end of winter, by better initialising the growth season. Comparison with four independent observational datasets and PIOMAS identifies the best-performing reanalysis, which we analyse for 2010–2020 to diagnose model deficiencies. The model exhibits a seasonally compensating bias cycle: excessive freeze-up and overly thick, consolidated ice in autumn and winter lead to elevated extent and thickness and a suppressed marginal ice zone in spring, while enhanced late-summer melt offsets these errors, yielding September extents close to observations but with anomalously thick ice packed against the Canadian Arctic Archipelago. This suggests that misrepresentations of ice growth, lead formation and refreezing, marginal ice zone dynamics, mechanical redistribution, and melt timing interact to obscure errors in concentration and thickness. Additionally, our best performing reanalysis also shows the thickest ice is less thick and more evenly distributed across the central Arctic in the 2010s. This reanalysis provides new insight into recent Arctic sea ice change and its underlying processes, as well as identifying key deficiencies in the sea ice model physics which can be a focus for future model development.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.