Articles | Volume 22, issue 6
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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Cited articles

Aghakouchak, A.: Entropy copula in hydrology and climatology, J. Hydrometeorol., 15, 2176–2189, 2014. a
Anandalekshmi, A., Panicker, S. T., Adarsh, S., Siddik, A. M., Aloysius, S., and Mehjabin, M.: Modeling the concurrent impact of extreme rainfall and reservoir storage on Kerala floods 2018: a Copula approach, Modeling Earth Systems and Environment, 5, 1283–1296, 2019. a, b
Ayantobo, O. O., Wei, J., and Wang, G.: Modeling Joint Relationship and Design Scenarios Between Precipitation, Surface Temperature, and Atmospheric Precipitable Water Over Mainland China, Earth and Space Science, 8, e2020EA001513,, 2021. a
Baratti, E., Montanari, A., Castellarin, A., Salinas, J. L., Viglione, A., and Bezzi, A.: Estimating the flood frequency distribution at seasonal and annual time scales, Hydrol. Earth Syst. Sci., 16, 4651–4660,, 2012. a, b
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.: Present and future Köppen-Geiger climate classification maps at 1-km resolution, Scientific Data, 5, 1–12, 2018. a
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.
Final-revised paper