Continental and global scale flood forecasting systems
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- Rebecca E. Emerton
- Department of Geography and Environmental Science University of Reading Reading UK
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- Elisabeth M. Stephens
- Department of Geography and Environmental Science University of Reading Reading UK
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- Florian Pappenberger
- European Centre for Medium‐Range Weather Forecasts Reading UK
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- Thomas C. Pagano
- Bureau of Meteorology Perth Australia
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- Albrecht H. Weerts
- Deltares Delft The Netherlands
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- Andy W. Wood
- National Center for Atmospheric Research Boulder CO USA
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- Peter Salamon
- Joint Research Centre Ispra Italy
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- James D. Brown
- Hydrologic Solutions Ltd. Southampton UK
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- Niclas Hjerdt
- Swedish Meteorological and Hydrological Institute Norrköping Sweden
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- Chantal Donnelly
- Swedish Meteorological and Hydrological Institute Norrköping Sweden
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- Calum A. Baugh
- European Centre for Medium‐Range Weather Forecasts Reading UK
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- Hannah L. Cloke
- Department of Geography and Environmental Science University of Reading Reading UK
書誌事項
- 公開日
- 2016-02-27
- 権利情報
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- http://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1002/wat2.1137
- 公開者
- Wiley
この論文をさがす
説明
<jats:p>Floods are the most frequent of natural disasters, affecting millions of people across the globe every year. The anticipation and forecasting of floods at the global scale is crucial to preparing for severe events and providing early awareness where local flood models and warning services may not exist. As numerical weather prediction models continue to improve, operational centers are increasingly using their meteorological output to drive hydrological models, creating hydrometeorological systems capable of forecasting river flow and flood events at much longer lead times than has previously been possible. Furthermore, developments in, for example, modelling capabilities, data, and resources in recent years have made it possible to produce global scale flood forecasting systems. In this paper, the current state of operational large‐scale flood forecasting is discussed, including probabilistic forecasting of floods using ensemble prediction systems. Six state‐of‐the‐art operational large‐scale flood forecasting systems are reviewed, describing similarities and differences in their approaches to forecasting floods at the global and continental scale. Operational systems currently have the capability to produce coarse‐scale discharge forecasts in the medium‐range and disseminate forecasts and, in some cases, early warning products in real time across the globe, in support of national forecasting capabilities. With improvements in seasonal weather forecasting, future advances may include more seamless hydrological forecasting at the global scale alongside a move towards multi‐model forecasts and grand ensemble techniques, responding to the requirement of developing multi‐hazard early warning systems for disaster risk reduction. <jats:italic>WIREs Water</jats:italic> 2016, 3:391–418. doi: 10.1002/wat2.1137</jats:p><jats:p>This article is categorized under: <jats:list list-type="explicit-label"> <jats:list-item><jats:p>Science of Water > Water Extremes</jats:p></jats:list-item> </jats:list></jats:p>
収録刊行物
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- WIREs Water
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WIREs Water 3 (3), 391-418, 2016-02-27
Wiley
