NDLI: HESS Submission by Lane et al. Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across a large sample of catchments in Great Britain

Content Provider	Semantic Scholar
Author	Lane, Rosanna A. Coxon, Gemma Freer, Jim Wagener, Thorsten Johnes, Penny J. John, P. Bloomfield Greene, Sheila Macleod, Christopher J. A. Reaney, Sim
Copyright Year	2019
Abstract	Benchmarking model performance across large samples of catchments is useful to supportguide model selection and guide future model development. Given uncertainties in the observational data we use to drive and evaluate hydrological 15 models, and uncertainties in the structure and parameterisation of models we use to produce hydrological simulations and predictions, it is essential that model evaluation is undertaken within an uncertainty analysis framework. Here, we benchmark the capability of severalmultiple, lumped hydrological models across Great Britain, by focusing on daily flow and peak flow simulation. Four hydrological model structures from the Framework for Understanding Structural Errors (FUSE) were applied to over 110
File Format	PDF HTM / HTML
DOI	10.5194/hess-2018-635
Alternate Webpage(s)	https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-635/hess-2018-635-AR1.pdf
Alternate Webpage(s)	https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-635/hess-2018-635-ED2.pdf
Alternate Webpage(s)	https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-635/hess-2018-635-ED1.pdf
Alternate Webpage(s)	https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-635/hess-2018-635-AR2.pdf
Alternate Webpage(s)	https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-635/hess-2018-635.pdf
Alternate Webpage(s)	https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-635/hess-2018-635-AR3.pdf
Alternate Webpage(s)	https://doi.org/10.5194/hess-2018-635
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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