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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 )
| Content Provider | Semantic Scholar |
|---|---|
| Author | Leedal, David Weerts, Albrecht H. Smith, Peter J. Beven, Keith J. |
| Copyright Year | 2013 |
| 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). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eprints.lancs.ac.uk/70391/1/hess_17_177_2013.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Entity Name Part Qualifier - adopted Open shell Projections and Predictions Real-time transcription |
| Content Type | Text |
| Resource Type | Article |
