Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 21
Articles | Volume 29, issue 21
https://doi.org/10.5194/hess-29-6157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-6157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 21
Research article
 | 
11 Nov 2025
Research article |  | 11 Nov 2025

Error-correction across gauged and ungauged locations: A data assimilation-inspired approach to post-processing river discharge forecasts

Gwyneth Matthews, Hannah L. Cloke, Sarah L. Dance, and Christel Prudhomme

Viewed

Total article views: 4,894 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,050 669 175 4,894 147 181
  • HTML: 4,050
  • PDF: 669
  • XML: 175
  • Total: 4,894
  • BibTeX: 147
  • EndNote: 181
Views and downloads (calculated since 30 Jan 2025)
Cumulative views and downloads (calculated since 30 Jan 2025)

Viewed (geographical distribution)

Total article views: 4,894 (including HTML, PDF, and XML) Thereof 4,780 with geography defined and 114 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 10 May 2026
Download
Short summary
Forecasts provide information crucial for managing floods and for water resource planning, but they often have errors. “Post-processing” reduces these errors but is usually only applied at river gauges, leaving areas without gauges uncorrected. We developed a new method that uses spatial information contained within the forecast to spread information about the errors from gauged locations to ungauged areas. Our results show that the method successfully makes river forecasts more accurate.
Read more
Share