Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-105-2021
https://doi.org/10.5194/hess-25-105-2021
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

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Cited articles

Addor, N. and Melsen, L. A.: Legacy, rather than adequacy, drives the selection of hydrological models, Water Resour. Res., 55, 378–390, https://doi.org/10.1029/2018WR022958, 2019. a, b
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Berghuijs, W. R., Allen, S. T., Harrigan, S., and Kirchner, J. W.: Growing spatial scales of synchronous river flooding in Europe, Geophys. Res. Lett., 46, 1423–1428, https://doi.org/10.1029/2018GL081883, 2019. a
Bergström, S.: Development and application of a conceptual runoff model for Scandinavian catchments. Swedish Meteorological and Hydrological Institute (SMHI) RHO 7, Tech. Rep. January 1976, Sveriges Meteorologiska och Hydrologiska Institut, Norrköping, 1976. a, b, c
Bratley, P. and Fox, B. L.: Algorithm 659: Implementing Sobol's Quasirandom Sequence Generator, ACM Transactions on Mathematical Software (TOMS), 14, 88–100, https://doi.org/10.1145/42288.214372, 1988. a
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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.
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