Articles | Volume 13, issue 2
https://doi.org/10.5194/esd-13-993-2022
https://doi.org/10.5194/esd-13-993-2022
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

Related authors

Transformed-Stationary EVA 2.0: A Generalized Framework for Non-Stationary Joint Extremes Analysis
Mohammad Hadi Bahmanpour, Alois Tilloy, Michalis Vousdoukas, Ivan Federico, Giovanni Coppini, Luc Feyen, and Lorenzo Mentaschi
EGUsphere, https://doi.org/10.5194/egusphere-2025-843,https://doi.org/10.5194/egusphere-2025-843, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
HERA: a high-resolution pan-European hydrological reanalysis (1951–2020)
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, Cinzia Mazzetti, and Luc Feyen
Earth Syst. Sci. Data, 17, 293–316, https://doi.org/10.5194/essd-17-293-2025,https://doi.org/10.5194/essd-17-293-2025, 2025
Short summary
Spatial identification of regions exposed to multi-hazards at the pan-European level
Tiberiu-Eugen Antofie, Stefano Luoni, Aloïs Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci., 25, 287–304, https://doi.org/10.5194/nhess-25-287-2025,https://doi.org/10.5194/nhess-25-287-2025, 2025
Short summary

Cited articles

AghaKouchak, A., Chiang, F., Huning, L. S., Love, C. A., Mallakpour, I., Mazdiyasni, O., Moftakhari, H., Papalexiou, S. M., Ragno, E., and Sadegh, M.: Climate extremes and compound hazards in a warming world, Annu. Rev. Earth Planet. Sci., 48, 519–548, https://doi.org/10.1146/annurev-earth-071719-055228, 2020. 
Agrawal, K. P., Garg, S., Sharma, S., and Patel, P.: Development and validation of OPTICS based spatio-temporal clustering technique, Inf. Sci., 369, 388–401, https://doi.org/10.1016/j.ins.2016.06.048, 2016. 
Angélil, O., Perkins-Kirkpatrick, S., Alexander, L. V., Stone, D., Donat, M. G., Wehner, M., Shiogama, H., Ciavarella, A., and Christidis, N.: Comparing regional precipitation and temperature extremes in climate model and reanalysis products, Weather Clim. Extrem., 13, 35–43, https://doi.org/10.1016/j.wace.2016.07.001, 2016. 
Ansari, M. Y., Ahmad, A., Khan, S. S., Bhushan, G., and Mainuddin: Spatiotemporal clustering: a review, Artif. Intell. Rev., 53, 2381–2423, https://doi.org/10.1007/s10462-019-09736-1, 2020. 
Bach, B., Dragicevic, P., Archambault, D., Hurter, C., and Carpendale, S.: A review of temporal data visualizations based on space-time cube operations, in Eurographics Conference on Visualization (EuroVis), June 2014, Swansea, Wales, UK, 23–41, https://doi.org/10.2312/eurovisstar.20141171, 2014. 
Download
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.
Share
Altmetrics
Final-revised paper
Preprint