文章基本信息

标题：An update on multivariate return periods in hydrology
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作者：Gräler, Benedikt ; Petroselli, Andrea ; Grimaldi, Salvatore 等
期刊名称：Proceedings of the International Association of Hydrological Sciences
印刷版ISSN：2199-8981
电子版ISSN：2199-899X
出版年度：2016
卷号：373
页码：175-178
DOI：10.5194/piahs-373-175-2016
摘要：Many hydrological studies are devoted to the identification of events that are expected to occur on average within a certain time span. While this topic is well established in the univariate case, recent advances focus on a multivariate characterization of events based on copulas. Following a previous study, we show how the definition of the survival Kendall return period fits into the set of multivariate return periods. Moreover, we preliminary investigate the ability of the multivariate return period definitions to select maximal events from a time series. Starting from a rich simulated data set, we show how similar the selection of events from a data set is. It can be deduced from the study and theoretically underpinned that the strength of correlation in the sample influences the differences between the selection of maximal events.