The Cryosphere
The Cryosphere
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Articles | Volume 20, issue 8
Articles | Volume 20, issue 8
https://doi.org/10.5194/tc-20-4437-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-4437-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 8
Research article
 | 
14 Aug 2026
Research article |  | 14 Aug 2026

Data-driven equation discovery of a sea ice albedo parametrisation

Diajeng W. Atmojo, Katja Weigel, Arthur Grundner, Marika M. Holland, Dmitry Sidorenko, and Veronika Eyring

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Short summary
This study presents an observation-driven sea ice albedo parametrisation by discovering an equation using symbolic regression, an interpretable machine learning method. Leveraging satellite and reanalyses data, our discovered equation identifies high sensitivity to thin snow and the weighted temperature difference between sea ice surface and 2 m air as critical to determine sea ice albedo. Our findings contribute to improving Arctic climate projections and understanding.
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