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: 2,072 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,808 210 54 2,072 43 60
  • HTML: 1,808
  • PDF: 210
  • XML: 54
  • Total: 2,072
  • BibTeX: 43
  • EndNote: 60
Views and downloads (calculated since 30 Jan 2025)
Cumulative views and downloads (calculated since 30 Jan 2025)

Viewed (geographical distribution)

Total article views: 2,072 (including HTML, PDF, and XML) Thereof 2,020 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Jan 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