Articles | Volume 20, issue 8
https://doi.org/10.5194/tc-20-4537-2026
https://doi.org/10.5194/tc-20-4537-2026
Research article
 | 
20 Aug 2026
Research article |  | 20 Aug 2026

Using LIDAR and SNOTEL data for evaluating the performance of snow water equivalent retrieval using Sentinel-1 repeat-pass interferometry

Shadi Oveisgharan, Emre Havazli, Robert Zinke, and Zachary Hoppinen

Viewed

Total article views: 4,718 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,714 1,761 243 4,718 312 350
  • HTML: 2,714
  • PDF: 1,761
  • XML: 243
  • Total: 4,718
  • BibTeX: 312
  • EndNote: 350
Views and downloads (calculated since 19 Dec 2025)
Cumulative views and downloads (calculated since 19 Dec 2025)

Viewed (geographical distribution)

Total article views: 4,718 (including HTML, PDF, and XML) Thereof 4,597 with geography defined and 121 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 23 Oct 2026
Download
Short summary
Accurate measurements of water stored in mountain snow are essential for managing water resources and understanding climate change. We evaluated a satellite-based method using airborne laser surveys and ground observations across several snow-covered regions. The method performed well under dry snow conditions and identified the factors that affect its accuracy, supporting improved monitoring of mountain snow from future satellite missions.
Share