Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-2797-2025
https://doi.org/10.5194/tc-19-2797-2025
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

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Cited articles

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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.
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