The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 7
Articles | Volume 20, issue 7
https://doi.org/10.5194/tc-20-3795-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-3795-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 7
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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Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (29 Apr 2026) by Bin Cheng
AR by Nicholas Williams on behalf of the Authors (29 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (01 Jun 2026) by Bin Cheng
RR by Mitchell Bushuk (04 Jun 2026)
RR by Anonymous Referee #2 (10 Jun 2026)
RR by Anonymous Referee #1 (11 Jun 2026)
ED: Publish subject to technical corrections (11 Jun 2026) by Bin Cheng
AR by Nicholas Williams on behalf of the Authors (16 Jun 2026)  Author's response   Manuscript 
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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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