Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models

Brunner, Manuela I.; Melsen, Lieke A.; Wood, Andrew W.; Rakovec, Oldrich; Mizukami, Naoki; Knoben, Wouter J. M.; Clark, Martyn P.

doi:https://doi.org/10.5194/hess-25-105-2021

Articles | Volume 25, issue 1

https://doi.org/10.5194/hess-25-105-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-105-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 1

Research article

|

06 Jan 2021

Research article |

| 06 Jan 2021

Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models

Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark

Supplement

https://doi.org/10.5194/hess-25-105-2021-supplement

Data sets

USGS Water Data for the Nation USGS https://waterdata.usgs.gov/nwis/uv/?referred_module=sw

Short summary

Assessments of current, local, and regional flood hazards and their future changes often involve the use of hydrologic models. A reliable model ideally reproduces both local flood characteristics and regional aspects of flooding. In this paper we investigate how such characteristics are represented by hydrologic models. Our results show that both the modeling of local and regional flood characteristics are challenging, especially under changing climate conditions.