Articles | Volume 28, issue 22
https://doi.org/10.5194/hess-28-5011-2024
https://doi.org/10.5194/hess-28-5011-2024
Research article
 | 
26 Nov 2024
Research article |  | 26 Nov 2024

On the importance of discharge observation uncertainty when interpreting hydrological model performance

Jerom P. M. Aerts, Jannis M. Hoch, Gemma Coxon, Nick C. van de Giesen, and Rolf W. Hut

Viewed

Total article views: 1,966 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,550 364 52 1,966 42 44
  • HTML: 1,550
  • PDF: 364
  • XML: 52
  • Total: 1,966
  • BibTeX: 42
  • EndNote: 44
Views and downloads (calculated since 05 Jun 2023)
Cumulative views and downloads (calculated since 05 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,966 (including HTML, PDF, and XML) Thereof 1,935 with geography defined and 31 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 Feb 2025
Download
Short summary
For users of hydrological models, model suitability often hinges on how well simulated outputs match observed discharge. This study highlights the importance of including discharge observation uncertainty in hydrological model performance assessment. We highlight the need to account for this uncertainty in model comparisons and introduce a practical method suitable for any observational time series with available uncertainty estimates.
Share