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

Viewed

Total article views: 1,844 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,358 419 67 1,844 117 60 80
  • HTML: 1,358
  • PDF: 419
  • XML: 67
  • Total: 1,844
  • Supplement: 117
  • BibTeX: 60
  • EndNote: 80
Views and downloads (calculated since 14 Aug 2024)
Cumulative views and downloads (calculated since 14 Aug 2024)

Viewed (geographical distribution)

Total article views: 1,844 (including HTML, PDF, and XML) Thereof 1,781 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Feb 2026
Download
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.
Share