Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2145-2022
https://doi.org/10.5194/nhess-22-2145-2022
Research article
 | 
27 Jun 2022
Research article |  | 27 Jun 2022

Characterizing multivariate coastal flooding events in a semi-arid region: the implications of copula choice, sampling, and infrastructure

Joseph T. D. Lucey and Timu W. Gallien

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Latest update: 22 Jul 2024
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Short summary
Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows, rainfall) occurring at the same time. This study characterizes flooding events caused by high marine water levels and rain. Results show that wet-season coinciding sampling may better describe extreme flooding events in a dry, tidally dominated region. A joint-probability-based function is then used to estimate sea wall impacts on urban coastal flooding.
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