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

Gagliano, Eric; Shean, David; Henderson, Scott

doi:10.5194/essd-18-5871-2026

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

Data sets

A global high-resolution dataset of snowmelt runoff onset timing from Sentinel-1 SAR, 2015-2024 Eric Gagliano et al. https://doi.org/10.5281/zenodo.16953614

Global MODIS snow phenology: snow appearance date, snow disappearance date, and maximum consecutive snow days, water years 2015–2025 Eric Gagliano https://doi.org/10.5281/zenodo.21783366

Model code and software

Global snowmelt runoff onset from Sentinel-1 SAR (v1.0) Eric Gagliano https://doi.org/10.5281/zenodo.21910383

Github repository: MODIS_snow_phenology v1.0 Eric Gagliano https://doi.org/10.5281/zenodo.21783174

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.