Articles | Volume 29, issue 23
https://doi.org/10.5194/hess-29-6935-2025
https://doi.org/10.5194/hess-29-6935-2025
Research article
 | 
02 Dec 2025
Research article |  | 02 Dec 2025

High-resolution snow water equivalent estimation: a data-driven method for localized downscaling of climate data

Fatemeh Zakeri, Gregoire Mariethoz, and Manuela Girotto

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Short summary
Our study presents a method to estimate high-resolution snow water equivalent (HR-SWE) using low-resolution climate data (LR-CD). By using a data-driven approach, we analyze historical weather patterns from LR-CD to generate HR-SWE maps. Machine learning and statistical relationships between LR-CD and HR-SWE enable estimation for dates without HR-SWE data. This method enhances water resource management and climate impact assessments, especially in data-scarce regions.
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