Weighted likelihood copula modeling of extreme rainfall events in Connecticut.

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Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model (2016, methodology): “Recent works on analysis of multivariate hydrological extreme events (Salvadori and De Michele, 2006, 2007, 2010) have popularized copulas as a tool for extreme value applications in rainfall (Évin and Favre, 2008; Wang et al., 2010; Zhang et al., 2012), floods (Zhang and Singh, 2007; Chowdhary et a”
Multivariate drought characteristics using trivariate Gaussian and Student t copulas (2013, methodology): “In addition, some researches (Song and Singh, 2010a; Wong et al., 2010) indicate that the meta-elliptical copulas might bemore efficient tomodel the asymmetric or Copyright © 2011 John Wiley & Sons, Ltd. unbalanced relationship and dependence structures of drought characteristics.”
Uncertainty analysis of bias from satellite rainfall estimates using copula method (2014, background): “…families of copula in hydrological and meteorological processes have been reported by Grimaldi and Serinaldi (2006), Renard and Lang (2007), Zhang and Singh (2007), Evin and Favre (2008), Serinaldi (2009a,b), Wang et al. (2010), Aghakouchak et al. (2010a,b,c), and Vandenberghe et al. (2010).”
Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, background): “2013), rainfall and flood events analysis (Singh and Zhang 2007; Xiao et al. 2009; Wang et al. 2010; Chen et al. 2012), sea storm analysis (De Michele et al.”