Applying probabilistic flood forecasting in flood incident management Technical Report - refined decision-support framework and methods Project: SC090032 The Environment Agency is the leading public body protecting and improving the environment in England. It‟s our job to make sure that air, land and water are looked after by everyone in today‟s society, so that tomorrow‟s generations inherit a cleaner, healthier world. Our work includes tackling flooding and pollution incidents, reducing industry‟s impacts on the environment, cleaning up rivers, coastal waters and contaminated land, and improving wildlife habitats. This report is the result of research commissioned by the Environment Agency‟s Evidence Directorate and funded by the joint Environment Agency/Defra Flood and Coastal Erosion Risk Management Research and Development Programme. Published by: Author(s): Environment Agency, Horizon House, Deanery Road, Murray Dale, Yiming Ji, Jon Wicks, Ken Mylne, Florian Bristol, BS1 5AH Pappenberger, Hannah Cloke www.environment-agency.gov.uk Peer reviewed by: David Demeritt, Sebastian Norbert ISBN: 978-1-84911-296-3 (Kings College London) © Environment Agency – April 2013 Dissemination Status: Restricted All rights reserved. This document may be reproduced with prior permission of the Environment Agency. Keywords: Probabilistic, flood forecasting, decision support The views and statements expressed in this report are framework those of the author alone. The views or statements expressed in this publication do not necessarily Research Contractor: represent the views of the Environment Agency and the Halcrow Group Ltd, Ash House, Falcon Road, Exeter, Environment Agency cannot accept any responsibility for EX2 7LB, tel. 01392 444252. such views or statements. Environment Agency’s Project Manager: Further copies of this report are available from: Stefan Laeger The Environment Agency‟s National Customer Contact Centre by emailing: Collaborator(s):
[email protected] Kings College London, Met Office, Florian or by telephoning 08708 506506.