Articles | Volume 29, issue 21
https://doi.org/10.5194/hess-29-6157-2025
https://doi.org/10.5194/hess-29-6157-2025
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: 5,031 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,136 716 179 5,031 149 183
  • HTML: 4,136
  • PDF: 716
  • XML: 179
  • Total: 5,031
  • BibTeX: 149
  • EndNote: 183
Views and downloads (calculated since 30 Jan 2025)
Cumulative views and downloads (calculated since 30 Jan 2025)

Viewed (geographical distribution)

Total article views: 5,031 (including HTML, PDF, and XML) Thereof 4,917 with geography defined and 114 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 03 Jun 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.
Share