Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula

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Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin (2016, methodology): “In the literature, Jiang et al. (2015) have used nonstationary copulas to estimate the probability of annual minimum monthly runoffs in two basins.”
Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice (2018, background): “In this study, both linear and exponential functions were considered to build the relationships between distribution parameters and covariates (Strupczewski et al., 2001; Vogel et al., 2011; Salas and Obeysekera, 2014; Jiang et al., 2015; Sarhadi et al., 2016; Read and Vogel, 2016; Yan et al., 2017)”
A framework of change‐point detection for multivariate hydrological series (2015, background): “…2004; Grimaldi and Serinaldi, 2006; Serinaldi and Grimaldi, 2007; Zhang and Singh, 2007; Villarini et al., 2009, 2010; Schmocker-Fackel and Naef, 2010; L opez and Franc es, 2013; Bender et al., 2014; Jiang et al., 2015], three respective sample lengths, i.e., n 2 f50; 100; 200g are selected.”