Articles | Volume 20, issue 11
https://doi.org/10.5194/tc-20-6501-2026
https://doi.org/10.5194/tc-20-6501-2026
Research article
 | 
12 Nov 2026
Research article |  | 12 Nov 2026

Multi-sensor satellite analysis reveals latitudinal and morphometric controls on ice phenology across 31 000 lakes on the Alaska North Slope

Alexander L. Nguyen, Cesar G. Lopez, Jennifer Melara-Valle, Eliza Ross, Alexander S. Bradley, Maggie R. Limbeck, Claire C. Masteller, and Roger J. Michaelides

Data sets

ABoVE: Alaska Lake and Pond Occurrence E. Levenson et al. https://doi.org/10.3334/ORNLDAAC/2399

Model code and software

Multi-sensor satellite analysis reveals latitudinal and morphometric controls on ice phenology across 31,000 lakes on the Alaska North Slope A. L. Nguyen et al. https://doi.org/10.5281/zenodo.21329400

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Short summary
Arctic lakes undergo freezing and thawing, but the timing and duration of these events across large areas is not well known. Using a machine learning model applied to satellite imagery, we successfully identify lake ice conditions on over 30 000 lakes in Alaska with high accuracy. Our results indicate that latitude is an important control on lake ice conditions, with secondary effects from lake size and shape. These findings have implications for future greenhouse gas emissions in the Arctic.
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