Vine Copula를 활용한 기후변화 시나리오 시간적 상세화 기법 개발 = Development of Temporal Downscaling under Climate Change using Vine Copula

다국어 초록 (Multilingual Abstract)

A Copula approach has the advantage of providing structural dependencies for representing multivariate distributions for the
hydrometeorological variable marginal distribution involved, however, copulas are inflexible for extending in high dimensions, and
satisfy certain assumptions to make the dependency. In addition, since the process of estimating design rainfall under the future climate
associated with durations given a return period is mainly analyzed by 24-hour annual maximum rainfalls, the dependency structure
contains information only on the daily and sub-daily extreme precipitation. Methods based on bivariate copula do not provide information
for other duration's dependencies, which causes the intensity to be reversed. The vine copula has been proposed to process the multivariate
analysis as vines consisting of trees with nodes and edges connecting pair-copula construction. In this study, we aimed to downscale
under climate change to produce sub-daily extreme precipitation data considering different durations based on vine copula.