On the construction of multivariate extreme value models via copulas

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Multivariate assessment of droughts: Frequency analysis and dynamic return period (2013, methodology): “…A and B indicated (i.e., C ¼ Aþ 1 ð ÞB with 2 0; 1½ ); the labels ‘‘X[AB]’’ denote the Khoudraji-Liebscher extraparametrization C of the two families A and B indicated [Durante and Salvadori, 2010; Salvadori and De Michele, 2010]. the Bayesian Information Criterion yields the same results…”
Identification of suitable copulas for bivariate frequency analysis of flood peak and flood volume data (2011, methodology): “Favre et al. (2004) employed FGM, Clayton, and Frank copulas for two applications; the first involving peak flow for a run-of-river power station that was modeled as a combination of peak flows from an upstream dam and the intermediate watershed, and the second for a better assessment of the joint a”
A stochastic design rainfall generator based on copulas and mass curves (2010, background): “The work of Ellouze et al.(2009), Gargouri-Ellouze and Chebchoub (2008), Kao and Govindaraju(2008) andGrimaldi and Serinaldi (2006) already considered the use of copulas in the modelling of design storms.”
Modeling the spatial dependence of floods using the Fisher copula (2019, methodology): “Flood event sets generated by the Fisher copula can be used in spatial ﬂood risk analyses by combining them with hydraulic models and ﬂood loss models.”