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Lookup NU author(s): Olivia Butters, Dr Craig Robson, Dr Fergus McCleanORCiD, Dr Vassilis Glenis, Dr James Virgo, Dr Alistair FordORCiD, Dr Chris IliadisORCiD, Professor Richard DawsonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 The Authors. A combination of climate change and urban development are increasing flood risk in cities worldwide, however analysing both drivers of risk is especially complex as new buildings alter surface water flows changing flood events. This paper provides an overview of the approaches, algorithms, design, and capabilities of the OpenCLIM urban flooding workflow which attempts to address this, coupling building-scale models of urban development with high-resolution simulations of urban flooding. The workflow retrieves and processes national-scale datasets, automatically configuring data and models, thereby significantly reducing user effort in commissioning simulations of risk analysis. A demonstration for Newcastle-upon-Tyne (UK) reveals hotspots of changes in risk and exposure are altered by both urban development and changes in rainfall, with climate change the most significant driver. The workflow is made accessible and transparent via DAFNI (www.dafni.ac.uk), a national computing facility, providing a vital tool for routine and repeatable urban flood risk analysis.
Author(s): Butters O, Robson C, McClean F, Glenis V, Virgo J, Ford A, Iliadis C, Dawson R
Publication type: Article
Publication status: Published
Journal: Environmental Modelling and Software
Year: 2025
Volume: 185
Print publication date: 01/02/2025
Online publication date: 11/12/2024
Acceptance date: 09/12/2024
Date deposited: 07/01/2025
ISSN (print): 1364-8152
ISSN (electronic): 1873-6726
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.envsoft.2024.106302
DOI: 10.1016/j.envsoft.2024.106302
Data Access Statement: Access to the platform and OpenCLIM workflows can be requested at: https://www.dafni.ac.uk/dafnilogin/, with free access for academic researchers to run projections online. Simulation results can be accessed here: Butters, O. (2024): OpenCLIM - Urban Flood Impacts: 1 km gridded outputs for five GB cities. NERC EDS Centre for Environmental Data Analysis, August 20, 2024 https://catalogue.ceda.ac.uk/uuid/a798f69cb13e4c219e735f96a7c33faa/ The workflow uses national datasets as inputs, all freely available as either open data or under academic license.
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