The Cryosphere
The Cryosphere
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Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-3123-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-3123-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
Research article
 | 
18 Aug 2025
Research article |  | 18 Aug 2025

Leveraging snow probe data, lidar, and machine learning for snow depth estimation in complex-terrain environments

Dane Liljestrand, Ryan Johnson, Bethany Neilson, Patrick Strong, and Elizabeth Cotter

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Short summary
This work introduces a model specifically designed for high-resolution snow depth estimation, leveraging in situ snow observations and snow-off lidar terrain features to provide an accessible and cost-effective method for snowpack modeling in regions lacking high-quality data products or collection networks. This work demonstrates that reliable basin-scale snow depth estimates can be achieved in difficult environments with very few observations and low institutional costs.
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