12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

97%

97% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Application of data-based mechanistic modelling...
View graph of relations

« Back

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 journalJournal article

Published

<mark>Journal publication date</mark>2013
<mark>Journal</mark>Hydrology and Earth System Sciences
Issue1
Volume17
Number of pages9
Pages177-185
<mark>Original language</mark>English

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).

Bibliographic note

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