Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-5871-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-5871-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Data description article
 | Highlight paper
 | 
14 Aug 2026
Data description article | Highlight paper |  | 14 Aug 2026

A global high-resolution dataset of snowmelt runoff onset timing from Sentinel-1 SAR, 2015–2024

Eric Gagliano, David Shean, and Scott Henderson

Viewed

Total article views: 605 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
434 140 31 605 29 27
  • HTML: 434
  • PDF: 140
  • XML: 31
  • Total: 605
  • BibTeX: 29
  • EndNote: 27
Views and downloads (calculated since 28 Apr 2026)
Cumulative views and downloads (calculated since 28 Apr 2026)

Viewed (geographical distribution)

Total article views: 605 (including HTML, PDF, and XML) Thereof 579 with geography defined and 26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Aug 2026
Download
Editorial statement
This paper presents a global, high-resolution dataset of snowmelt runoff onset spanning a decade of Sentinel-1 observations. Its combination of global coverage, fine spatial resolution, comprehensive documentation, and broad applicability makes it a valuable resource for hydrology, cryosphere research, and water resource management.
Read more
Short summary
Meltwater from seasonal snow sustains over a billion people globally, making the timing of snowmelt runoff onset a critical hydrological parameter. We used satellite radar images, which can detect liquid water in snowpack regardless of cloud cover, to create a global dataset of snowmelt runoff onset timing from 2015 to 2024 at 80 m resolution. The dataset shows close agreement with a network of ground-based snow sensors, and can support water resource management in snow-dominated watersheds.
Read more
Share
Altmetrics
Final-revised paper
Preprint