Articles | Volume 13, issue 2
https://doi.org/10.5194/esd-13-993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-13-993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A methodology for the spatiotemporal identification of compound hazards: wind and precipitation extremes in Great Britain (1979–2019)
Department of Geography, King's College London, London WC2B 4BG,
United Kingdom
European Commission, Joint Research Centre, Ispra, Italy
Bruce D. Malamud
Department of Geography, King's College London, London WC2B 4BG,
United Kingdom
Amélie Joly-Laugel
EDF Energy R & D UK Centre, Croydon CR0 2AJ, United Kingdom
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- CETD, a global compound events detection and visualisation toolbox and dataset C. Yin et al. 10.1038/s41597-025-04530-x
- Dependence of daily precipitation and wind speed over coastal areas: evidence from China's coastline X. Qi et al. 10.2166/nh.2023.093
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Latest update: 11 Mar 2025
Short summary
Compound hazards occur when two different natural hazards impact the same time period and spatial area. This article presents a methodology for the spatiotemporal identification of compound hazards (SI–CH). The methodology is applied to compound precipitation and wind extremes in Great Britain for the period 1979–2019. The study finds that the SI–CH approach can accurately identify single and compound hazard events and represent their spatial and temporal properties.
Compound hazards occur when two different natural hazards impact the same time period and...
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