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

Data sets

Results Discharge Observation Uncertainty and Model Performance Pub (Version v1) Jerom Aerts https://doi.org/10.5281/zenodo.14186584

Model code and software

jeromaerts/CAMELS-GB_Comparison_Uncertainty: Initial Zenodo Commit Jerom Aerts https://doi.org/10.5281/zenodo.7956488

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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.