Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-6043-2025
https://doi.org/10.5194/tc-19-6043-2025
Research article
 | 
21 Nov 2025
Research article |  | 21 Nov 2025

Automatic detection of Arctic polynyas using hybrid supervised-unsupervised deep learning

Céline Heuzé and Carmen Hau Man Wong

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Latest update: 19 May 2026
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Short summary
Polynyas are areas with no- or thin-ice within the ice pack. They play a crucial role for the Earth system, yet their monitoring in the Arctic is challenging because polynya detection is non-trivial. We here demonstrate that polynyas can successfully be detected with a novel, machine-learning based method. In fact, we argue that they are better detected than with traditional methods, which seem to fail as sea ice decreases because of climate change.
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