The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-2797-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-2797-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
Research article
 | 
05 Aug 2025
Research article |  | 05 Aug 2025

A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin

Caleb G. Pan, Kristofer Lasko, Sean P. Griffin, John S. Kimball, Jinyang Du, Tate G. Meehan, and Peter B. Kirchner

Viewed

Total article views: 604 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
454 125 25 604 20 26
  • HTML: 454
  • PDF: 125
  • XML: 25
  • Total: 604
  • BibTeX: 20
  • EndNote: 26
Views and downloads (calculated since 16 Jan 2025)
Cumulative views and downloads (calculated since 16 Jan 2025)

Viewed (geographical distribution)

Total article views: 604 (including HTML, PDF, and XML) Thereof 572 with geography defined and 32 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Discussed (final revised paper)

Latest update: 09 Aug 2025
Download
Short summary
This study examines 35 years of snow cover changes in Alaska’s Yukon River Basin using machine learning to track snowmelt timing and disappearance. Results show snow is melting earlier and disappearing faster due to rising temperatures, highlighting the effects of climate change on water resources, ecosystems, and communities. The findings improve understanding of snow dynamics and provide critical insights for addressing climate-driven challenges in the region.
Read more
Share