The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 3
Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 3
Research article
 | 
09 Mar 2026
Research article |  | 09 Mar 2026

Sea ice albedo bounded data assimilation and its impact on modeling: a regional approach

Joseph F. Rotondo, Molly M. Wieringa, Cecilia M. Bitz, Robin P. Clancy, and Steven M. Cavallo

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Short summary
We tested a new way to improve Arctic sea ice forecasts by adding satellite-based surface brightness, or albedo, into a sea ice model. This approach captures key surface changes like melting and snowfall that affect ice loss. We found it often gives better results when combined with standard data like ice coverage or thickness, especially during the melt season. This method offers a powerful tool for tracking Arctic sea ice in a changing climate.
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