Articles | Volume 25, issue 10
https://doi.org/10.5194/hess-25-5425-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5425-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2021
Research article |
| 12 Oct 2021
| 12 Oct 2021
Numerical daemons of hydrological models are summoned by extreme precipitation
Peter T. La Follette
Lynker Technologies, Boulder, Colorado, USA
previously at: Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Nans Addor
Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
Martyn Clark
Coldwater Laboratory, University of Saskatchewan, Canmore, Alberta, Canada
Koen Jansen
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
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13 citations as recorded by crossref.
- Two-dimensional differential form of distributed Xinanjiang model J. Zhao et al. 10.5194/hess-29-3745-2025
- Projecting end-of-century climate extremes and their impacts on the hydrology of a representative California watershed F. Maina et al. 10.5194/hess-26-3589-2022
- A theoretical appraisal of the GR4J rainfall-runoff modelling framework S. Mathias et al. 10.1016/j.jhydrol.2025.134393
- Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models B. Woldegiorgis et al. 10.1029/2022WR033250
- Technical note: Quadratic Solution of the Approximate Reservoir Equation (QuaSoARe) J. Lerat 10.5194/hess-29-2003-2025
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- A Generalized Multistep Dynamic (GMD) TOPMODEL S. Goudarzi et al. 10.1029/2022WR032198
- Landscape Pollution Source Dynamics Highlight Priority Locations for Basin‐Scale Interventions to Protect Water Quality Under Hydroclimatic Variability D. Schaffer‐Smith et al. 10.1029/2022EF003137
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Parameter optimization method of hydrological model based on neural ordinary differential equations Q. Xiangzhao et al. 10.18307/2025.0342
- Recreating the California New Year's Flood Event of 1997 in a Regionally Refined Earth System Model A. Rhoades et al. 10.1029/2023MS003793
- Climate change accelerates water and biogeochemical cycles in temperate agricultural catchments M. Bieroza et al. 10.1016/j.scitotenv.2024.175365
- The numerical error of the Xinanjiang model J. Zhao et al. 10.1016/j.jhydrol.2023.129324
1 citations as recorded by crossref.
Latest update: 30 Oct 2025
Short summary
Hydrological models are useful tools that allow us to predict distributions and movement of water. A variety of numerical methods are used by these models. We demonstrate which numerical methods yield large errors when subject to extreme precipitation. As the climate is changing such that extreme precipitation is more common, we find that some numerical methods are better suited for use in hydrological models. Also, we find that many current hydrological models use relatively inaccurate methods.
Hydrological models are useful tools that allow us to predict distributions and movement of...
