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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 1
Hydrol. Earth Syst. Sci., 17, 177–185, 2013
https://doi.org/10.5194/hess-17-177-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Latest advances and developments in data assimilation for...

Hydrol. Earth Syst. Sci., 17, 177–185, 2013
https://doi.org/10.5194/hess-17-177-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Jan 2013

Research article | 18 Jan 2013

Application of data-based mechanistic modelling for flood forecasting at multiple locations in the Eden catchment in the National Flood Forecasting System (England and Wales)

D. Leedal1, A. H. Weerts2,4, P. J. Smith1, and K. J. Beven1,3 D. Leedal et al.
  • 1Lancaster Environment Centre, Lancaster University, Lancaster, UK
  • 2Deltares, P.O. Box 177, 2600 MH, Delft, The Netherlands
  • 3Geocentrum, Uppsala University, Uppsala, Sweden
  • 4Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands

Abstract. The Delft Flood Early Warning System provides a versatile framework for real-time flood forecasting. The UK Environment Agency has adopted the Delft framework to deliver its National Flood Forecasting System. The Delft system incorporates new flood forecasting models very easily using an "open shell" framework. This paper describes how we added the data-based mechanistic modelling approach to the model inventory and presents a case study for the Eden catchment (Cumbria, UK).

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