Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3245-2024
https://doi.org/10.5194/nhess-24-3245-2024
Research article
 | 
25 Sep 2024
Research article |  | 25 Sep 2024

Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment

Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson

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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 Pl. Sc., 48, 519–548, https://doi.org/10.1146/annurev-earth-071719-055228, 2020. 
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Andrée, E., Su, J., Dahl Larsen, M. A., Drews, M., Stendel, M., and Skovgaard Madsen, K.: The role of preconditioning for extreme storm surges in the western Baltic Sea, Nat. Hazards Earth Syst. Sci., 23, 1817–1834, https://doi.org/10.5194/nhess-23-1817-2023, 2023. 
Bai, X., Jiang, H., Li, C., and Huang, L.: Joint probability distribution of coastal winds and waves using a log-transformed kernel density estimation and mixed copula approach, Ocean Eng., 216, 107937, https://doi.org/10.1016/j.oceaneng.2020.107937, 2020. 
Bergstrand, M., Asp, S. S., and Lindström, G.: Nationwide hydrological statistics for Sweden with high resolution using the hydrological model S-HYPE, Hydrol. Res., 45, 349–356, https://doi.org/10.2166/nh.2013.010, 2014. 
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Both extreme river discharge and storm surges can interact at the coast and lead to flooding. However, it is difficult to predict flood levels during such compound events because they are rare and complex. Here, we focus on the quantification of uncertainties and investigate the sources of limitations while carrying out such analyses at Halmstad, Sweden. Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
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