The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 3
Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1725-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1725-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 3
Research article
 | 
24 Mar 2026
Research article |  | 24 Mar 2026

Outlet glacier seasonal terminus prediction using interpretable machine learning

Kevin Shionalyn, Ginny Catania, Daniel T. Trugman, Michael G. Shahin, Leigh A. Stearns, and Denis Felikson

Viewed

Total article views: 9,039 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
7,610 1,273 156 9,039 441 281 287
  • HTML: 7,610
  • PDF: 1,273
  • XML: 156
  • Total: 9,039
  • Supplement: 441
  • BibTeX: 281
  • EndNote: 287
Views and downloads (calculated since 11 Aug 2025)
Cumulative views and downloads (calculated since 11 Aug 2025)

Viewed (geographical distribution)

Total article views: 9,039 (including HTML, PDF, and XML) Thereof 8,939 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 29 Sep 2026
Download
Short summary
The ocean-facing front of a glacier changes with the seasons. We know this cycle is controlled by the shape and speed of the glacier as well as by the climate, but we do not have a full understanding of these processes. Our study uses 20 years of data and a machine learning model to predict this pattern and identifies which factors matter most. We find that while several factors influence the seasonal cycle, the shape of the glacier plays a key role in how much a glacier changes annually.
Read more
Share