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  • hess-17-177-2013

    Rights statement: © Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License.

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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)

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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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). / Leedal, D.; Weerts, A. H.; Smith, Paul et al.
In: Hydrology and Earth System Sciences, Vol. 17, No. 1, 2013, p. 177-185.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Leedal, D, Weerts, AH, Smith, P & Beven, KJ 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)', Hydrology and Earth System Sciences, vol. 17, no. 1, pp. 177-185. https://doi.org/10.5194/hess-17-177-2013

APA

Leedal, D., Weerts, A. H., Smith, P., & Beven, K. J. (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). Hydrology and Earth System Sciences, 17(1), 177-185. https://doi.org/10.5194/hess-17-177-2013

Vancouver

Leedal D, Weerts AH, Smith P, Beven KJ. 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). Hydrology and Earth System Sciences. 2013;17(1):177-185. doi: 10.5194/hess-17-177-2013

Author

Leedal, D. ; Weerts, A. H. ; Smith, Paul et al. / 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). In: Hydrology and Earth System Sciences. 2013 ; Vol. 17, No. 1. pp. 177-185.

Bibtex

@article{9df5019672e5404db2e7fc8f93007271,
title = "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)",
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).",
author = "D. Leedal and Weerts, {A. H.} and Paul Smith and Beven, {K. J.}",
note = "{\textcopyright} Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License.",
year = "2013",
doi = "10.5194/hess-17-177-2013",
language = "English",
volume = "17",
pages = "177--185",
journal = "Hydrology and Earth System Sciences",
issn = "1027-5606",
publisher = "Copernicus Gesellschaft mbH",
number = "1",

}

RIS

TY - JOUR

T1 - 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)

AU - Leedal, D.

AU - Weerts, A. H.

AU - Smith, Paul

AU - Beven, K. J.

N1 - © Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License.

PY - 2013

Y1 - 2013

N2 - 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).

AB - 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).

U2 - 10.5194/hess-17-177-2013

DO - 10.5194/hess-17-177-2013

M3 - Journal article

VL - 17

SP - 177

EP - 185

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

SN - 1027-5606

IS - 1

ER -