Multivariate design in the presence of non-stationarity

By J. Bender, T. Wahl, J. Jensen. 2014

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A framework of change‐point detection for multivariate hydrological series (2015, background): “In detecting the nonstationarity in multivariate hydrological series, clear distinction between the two types of nonstationarity is very essential in order to gain a deep understanding of the physical causes behind the nonstationarity in multivariate hydrological series [Bender et al., 2014].”
A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis (2018, methodology): “Bender et al. (2014) employed time varying copulas with time varying extreme value distribution parameters to model flood peak and flood volume on the Rhine River.”
Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice (2018, background): “, 2008), the nonstationarities of both univariate and multivariate flood series have been widely reported (Xiong and Guo, 2004; Villarini et al., 2009; Vogel et al., 2011; López and Francés, 2013; Bender et al., 2014; Xiong et al., 2015; Blöschl et al., 2017; Kundzewicz et al., 2018).”