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  • Hessd 9 7271 2012

    Rights statement: © Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.

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A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS: DBM real-time flood forecasting

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

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A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS: DBM real-time flood forecasting. / Leedal, David; Weerts, A. H.; Smith, Paul et al.
In: Hydrology and Earth System Sciences, Vol. 9, No. 6, 2012, p. 7271-7296.

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

Harvard

Leedal, D, Weerts, AH, Smith, P & Beven, K 2012, 'A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS: DBM real-time flood forecasting', Hydrology and Earth System Sciences, vol. 9, no. 6, pp. 7271-7296. https://doi.org/10.5194/hessd-9-7271-2012

APA

Leedal, D., Weerts, A. H., Smith, P., & Beven, K. (2012). A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS: DBM real-time flood forecasting. Hydrology and Earth System Sciences, 9(6), 7271-7296. https://doi.org/10.5194/hessd-9-7271-2012

Vancouver

Leedal D, Weerts AH, Smith P, Beven K. A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS: DBM real-time flood forecasting. Hydrology and Earth System Sciences. 2012;9(6):7271-7296. Epub 2012 Jun 8. doi: 10.5194/hessd-9-7271-2012

Author

Leedal, David ; Weerts, A. H. ; Smith, Paul et al. / A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS : DBM real-time flood forecasting. In: Hydrology and Earth System Sciences. 2012 ; Vol. 9, No. 6. pp. 7271-7296.

Bibtex

@article{2ae9f3a21b0b494d980ad7f7f7c3971b,
title = "A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS: DBM real-time flood forecasting",
abstract = "The data based mechanistic (DBM) approach for identifying and estimating rainfall to level, and level to level models has been shown to perform well for flood forecasting in several studies. The DELFT-FEWS open shell operational flood forecasting system provides a framework linking hydrological/meteorological real-time data, real-time forecast models, and a human/computer interaction interface. This infrastructure is used by the UK National Flood Forecasting System (NFFS) and the European Flood Alert System (EFAS) among others. The open shell nature of the FEWS framework has been specifically designed to make it easy to add new forecasting models written as FEWS modules. This paper shows the development of the DBM forecast model as a FEWS module and presents results for the Eden catchment (Cumbria UK) as a case study.",
keywords = "DBM modelling, Flood hazard, uncertainty analysis, carlisle, fews-nffs",
author = "David Leedal and Weerts, {A. H.} and Paul Smith and Keith Beven",
note = "{\textcopyright} Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.",
year = "2012",
doi = "10.5194/hessd-9-7271-2012",
language = "English",
volume = "9",
pages = "7271--7296",
journal = "Hydrology and Earth System Sciences",
issn = "1027-5606",
publisher = "Copernicus Gesellschaft mbH",
number = "6",

}

RIS

TY - JOUR

T1 - A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS

T2 - DBM real-time flood forecasting

AU - Leedal, David

AU - Weerts, A. H.

AU - Smith, Paul

AU - Beven, Keith

N1 - © Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.

PY - 2012

Y1 - 2012

N2 - The data based mechanistic (DBM) approach for identifying and estimating rainfall to level, and level to level models has been shown to perform well for flood forecasting in several studies. The DELFT-FEWS open shell operational flood forecasting system provides a framework linking hydrological/meteorological real-time data, real-time forecast models, and a human/computer interaction interface. This infrastructure is used by the UK National Flood Forecasting System (NFFS) and the European Flood Alert System (EFAS) among others. The open shell nature of the FEWS framework has been specifically designed to make it easy to add new forecasting models written as FEWS modules. This paper shows the development of the DBM forecast model as a FEWS module and presents results for the Eden catchment (Cumbria UK) as a case study.

AB - The data based mechanistic (DBM) approach for identifying and estimating rainfall to level, and level to level models has been shown to perform well for flood forecasting in several studies. The DELFT-FEWS open shell operational flood forecasting system provides a framework linking hydrological/meteorological real-time data, real-time forecast models, and a human/computer interaction interface. This infrastructure is used by the UK National Flood Forecasting System (NFFS) and the European Flood Alert System (EFAS) among others. The open shell nature of the FEWS framework has been specifically designed to make it easy to add new forecasting models written as FEWS modules. This paper shows the development of the DBM forecast model as a FEWS module and presents results for the Eden catchment (Cumbria UK) as a case study.

KW - DBM modelling

KW - Flood hazard

KW - uncertainty analysis

KW - carlisle

KW - fews-nffs

U2 - 10.5194/hessd-9-7271-2012

DO - 10.5194/hessd-9-7271-2012

M3 - Special issue

VL - 9

SP - 7271

EP - 7296

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

SN - 1027-5606

IS - 6

ER -