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

Leedal, David and Weerts, A. H. and Smith, Paul and Beven, Keith (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). pp. 7271-7296. ISSN 1027-5606

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    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.

    Item Type: Article
    Journal or Publication Title: Hydrology and Earth System Sciences
    Additional Information: © Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.
    Uncontrolled Keywords: DBM modelling ; Flood hazard ; uncertainty analysis ; carlisle ; fews-nffs
    Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
    Departments: Faculty of Science and Technology > Lancaster Environment Centre
    ID Code: 55246
    Deposited By: ep_importer_pure
    Deposited On: 20 Jun 2012 11:52
    Refereed?: Yes
    Published?: Published
    Last Modified: 07 Sep 2013 00:44
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/55246

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