Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-853-2026
https://doi.org/10.5194/tc-20-853-2026
Research article
 | 
03 Feb 2026
Research article |  | 03 Feb 2026

Enhancing sea ice knowledge through assimilation of sea ice thickness from ENVISAT and CS2SMOS

Nicholas Williams, Yiguo Wang, and François Counillon

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Short summary
We assimilate satellite observations of Arctic sea ice thickness to create a skillful initial sea ice state, assimilating ENVISAT-derived sea ice thickness for the first time. We produce a reanalysis and seasonal hindcasts showing that sea ice thickness and volume estimates are significantly improved in both reanalysis and prediction. Predictions of summer sea ice extent in our model are also substantially improved by reducing the high sea ice thickness bias.
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