Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2403-2024
https://doi.org/10.5194/nhess-24-2403-2024
Research article
 | 
16 Jul 2024
Research article |  | 16 Jul 2024

Global application of a regional frequency analysis to extreme sea levels

Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates

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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Cited articles

Amadeo, K.: Hurricane Harvey Facts, Damage and Costs, 1–5 pp., https://www.lamar.edu/_files/documents/resilience-recovery/grant/recovery-and-resiliency/hurric2.pdf (last access: December 2022), 2019. 
Andrée, E., Su, J., Larsen, M. A. D., Madsen, K. S., and Drews, M.: Simulating major storm surge events in a complex coastal region, Ocean Model., 162, 101802, https://doi.org/10.1016/j.ocemod.2021.101802, 2021. 
Andreevsky, M., Hamdi, Y., Griolet, S., Bernardara, P., and Frau, R.: Regional frequency analysis of extreme storm surges using the extremogram approach, Nat. Hazards Earth Syst. Sci., 20, 1705–1717, https://doi.org/10.5194/nhess-20-1705-2020, 2020. 
Arns, A., Wahl, T., Haigh, I. D., and Jensen, J.: Determining return water levels at ungauged coastal sites: a case study for northern Germany, Ocean Dynam., 65, 539–554, https://doi.org/10.1007/s10236-015-0814-1, 2015. 
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Coastal areas are at risk of flooding from rising sea levels and extreme weather events. This study applies a new approach to estimating the likelihood of coastal flooding around the world. The method uses data from observations and computer models to create a detailed map of where these coastal floods might occur. The approach can predict flooding in areas for which there are few or no data available. The results can be used to help prepare for and prevent this type of flooding.
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