Articles | Volume 20, issue 7
https://doi.org/10.5194/tc-20-3795-2026
https://doi.org/10.5194/tc-20-3795-2026
Research article
 | 
08 Jul 2026
Research article |  | 08 Jul 2026

Enhanced prediction skill of Antarctic sea ice through sea ice thickness assimilation

Nicholas Williams, Yiguo Wang, and François Counillon

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Short summary
This study investigates whether assimilating sea ice thickness observations into a global climate model can improve reanalysis and seasonal prediction skill of the Antarctic sea ice. We found that assimilation of sea ice thickness improves the representation of sea ice variability, especially in western Antarctica. We also show that initialisation of predictions with sea ice thickness data assimilation can improve forecasts of sea ice concentration, extent and thickness in summer and autumn.
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