A methodology for the spatiotemporal identification  of compound hazards: wind and precipitation  extremes in Great Britain (1979–2019)

Tilloy, Aloïs; Malamud, Bruce D.; Joly-Laugel, Amélie

doi:https://doi.org/10.5194/esd-13-993-2022

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.

https://doi.org/10.5194/esd-13-993-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Research article

|

14 Jun 2022

Research article |

| 14 Jun 2022

A methodology for the spatiotemporal identification of compound hazards: wind and precipitation extremes in Great Britain (1979–2019)

Aloïs Tilloy, Bruce D. Malamud, and Amélie Joly-Laugel

Supplement

https://doi.org/10.5194/esd-13-993-2022-supplement

Data sets

Wind and Precipitation Extremes in Great Britain (1979--2019) to apply the methodology for Spatiotemporal Identification of Compound Hazards A. Tilloy https://doi.org/10.5281/zenodo.4906264

ERA5-Land hourly data Copernicus Climate Data Store https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land

Model code and software

Alowis/SI-CH: A methodology for the spatiotemporal identification of compound hazards A. Tilloy https://doi.org/10.5281/zenodo.6555825

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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.