Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 18
Articles | Volume 30, issue 18
https://doi.org/10.5194/hess-30-5999-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-5999-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 18
Research article
 | 
24 Sep 2026
Research article |  | 24 Sep 2026

Calibration using downscaled and bias-corrected satellite soil-moisture data can improve watershed model representation of soil-moisture variability

Binyam Workeye Asfaw, Siam Maksud, Daniel R. Fuka, Amy S. Collick, Robin R. White, and Zachary M. Easton

Viewed

Total article views: 2,165 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,520 467 178 2,165 690 215
  • HTML: 1,520
  • PDF: 467
  • XML: 178
  • Total: 2,165
  • BibTeX: 690
  • EndNote: 215
Views and downloads (calculated since 04 Dec 2025)
Cumulative views and downloads (calculated since 04 Dec 2025)

Viewed (geographical distribution)

Total article views: 2,165 (including HTML, PDF, and XML) Thereof 2,149 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Sep 2026
Download
Short summary
We investigated the use of downscaled and bias-corrected  satellite soil‑moisture data to inform hydrologic model calibration beyond traditional streamflow‑based approaches. Incorporating soil moisture improved representation of internal moisture dynamics without degrading streamflow performance. The study illustrates how satellite soil moisture can help constrain hydrologic models while emphasizing the importance of model structure.
Read more
Share