Trigg, M orcid.org/0000-0002-8412-9332, Bernhofen, M, Marechal, D et al. (8 more authors) (2021) Global Flood Models. In: Wu, H, Lettenmaier, D.P, Tang, Q and Ward, P.J, (eds.) Global Drought and Flood: Observation, Modeling, and Prediction. Geophysical Monograph Series . American Geophysical Union , pp. 181-200. ISBN 9781119427308
Abstract
Flooding is the most damaging natural hazard, both economically and by population affected. Flood models are important tools for evaluating the risks associated with flooding. Historically, the modeling domain has been limited in scale; however, advancements in computing power and global data sets have led to the development of global flood models (GFMs). This global modeling capability has benefited scientific studies of exposure and climate change impact, the insurance industry, and intergovernmental disaster risk reduction efforts. Global flood modeling has now progressed beyond its infancy to a point where coordinated and targeted model development can take place based on collective studies. This chapter provides a detailed summary of the current global flood modeling state-of-affairs. It begins with a summary of the history and challenges of GFM development. This is followed by a review of current GFMs and their structures, applications, and credibility. A section is also dedicated to describing global flood modeling in the context of the insurance catastrophe model, an important GFM category that is less visible due to their proprietary nature. The chapter concludes by looking to the future and highlighting how GFMs need to improve and the new data sets and methods that could contribute to their continued development.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Keywords: | catastrophe model, flood defense information, global data sets, global flood models, natural hazard |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number ESRC (Economic and Social Research Council) ES/S008179/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Dec 2020 12:47 |
Last Modified: | 07 Aug 2023 08:46 |
Status: | Published |
Publisher: | American Geophysical Union |
Series Name: | Geophysical Monograph Series |
Identification Number: | 10.1002/9781119427339.ch10 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169154 |