The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 11
Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-6043-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-6043-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
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

Viewed

Total article views: 1,781 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,574 160 47 1,781 32 43
  • HTML: 1,574
  • PDF: 160
  • XML: 47
  • Total: 1,781
  • BibTeX: 32
  • EndNote: 43
Views and downloads (calculated since 23 Jun 2025)
Cumulative views and downloads (calculated since 23 Jun 2025)

Viewed (geographical distribution)

Total article views: 1,781 (including HTML, PDF, and XML) Thereof 1,711 with geography defined and 70 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Jan 2026
Download
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.
Read more
Share