Alfieri, L, Cohen, S, Galantowicz, J et al. (18 more authors) (2021) The Global Flood Partnership. In: Global Drought and Flood: Observation, Modeling, and Prediction. Geophysical Monograph Series . Wiley , pp. 307-322. ISBN 9781119427308
Abstract
Every year riverine flooding affects millions of people in developing countries, due to the large population exposure in the floodplains and the lack of adequate flood protection. Preparedness and monitoring are effective ways to reduce flood risk. State-of-the-art technologies relying on satellite remote sensing as well as numerical hydrological and meteorological predictions can detect and monitor severe flood events at the global scale. This chapter describes the emerging role of the Global Flood Partnership (GFP), a global network of scientists, users, and private and public organizations active in global flood risk management. Currently, a number of GFP partner institutes regularly share results from their experimental products, developed to predict and monitor where and when flooding is taking place in near real time. Products of the GFP have already been used on several occasions by national environmental agencies and humanitarian organizations to support emergency operations and to reduce the overall socioeconomic impacts of disasters. The chapter includes a discussion on existing challenges and ways forward to improve rapid access to flood information and increase resilience to flooding.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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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 12:51 |
Last Modified: | 15 Feb 2024 17:18 |
Published Version: | https://agupubs.onlinelibrary.wiley.com/doi/10.100... |
Status: | Published |
Publisher: | Wiley |
Series Name: | Geophysical Monograph Series |
Identification Number: | 10.1002/9781119427339.ch17 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169167 |