Enhanced surface water flood forecasts: User-led development and testing

Birch, C orcid.org/0000-0001-9384-2810, Rabb, B, Böing, S et al. (8 more authors) (2021) Enhanced surface water flood forecasts: User-led development and testing. Journal of Flood Risk Management, 14 (2). e12691. ISSN 1753-318X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Journal of Flood Risk Management published by Chartered Institution of Water and Environmental Management and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: convective rainfall, engagement, ensemble forecasting, flood forecasting, intense rainfall, pluvialflooding, surface water flooding, user-led testing
Dates:
  • Accepted: 16 December 2020
  • Published (online): 27 January 2021
  • Published: June 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS)
The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds)
Funding Information:
FunderGrant number
NERC (Natural Environment Research Council)NE/P011160/1
Depositing User: Symplectic Publications
Date Deposited: 18 Dec 2020 13:10
Last Modified: 25 Jun 2023 22:32
Status: Published
Publisher: Wiley Open Access
Identification Number: https://doi.org/10.1111/jfr3.12691

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