Data‐based analysis of bivariate copula tail dependence for drought duration and severity

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Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin (2016, methodology): “Numerous studies have explored multi-variate frequency analysis in low flow (Kim et al., 2006; Mirabbasi et al., 2012; Lee et al., 2013; Xu et al., 2015).”
Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey (2016, methodology): “Lee et al. (2013) employed Gumbel, Frank, Clayton and Gaussian copulas to fit drought data which were extracted from standard precipitation index (SPI) method for four stations in Canada and Iran.”
Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework (2017, background): “, 2014], drought duration and severity [Lee et al., 2013; Mishra and Singh, 2009], and precipitation and soil moisture [AghaKouchak, 2015].”
Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, methodology): “…copula functions have been used for modelling droughts (Kao and Govindaraju, 2010; Wong et al., 2010; Liu et al., 2011; Reddy and Ganguli, 2012a; Lee et al., 2013; Ma et al., 2013; Wong et al., 2013), rainfall analysis (Singh and Zhang, 2007; Zhang and Singh, 2007a; Gargouri-Ellouze and…”