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Analyzing spatial–temporal change of multivariate...
Journal article

Analyzing spatial–temporal change of multivariate drought risk based on Bayesian copula: Application to the Balkhash Lake basin

Abstract

Abstract In the past century, drought events were likely to be frequent and severe in the arid areas under climate change impact. In this study, a Bayesian copula multivariate analysis (BCMA) method is developed for assessing the impact of spatial–temporal variation on drought risk, through coupling Bayesian copula with multivariate analysis. BCMA can reveal the dynamic characteristics of droughts and deal with the uncertainty caused by copula …

Authors

Yang X; Li YP; Huang GH; Zhang SQ

Journal

Theoretical and Applied Climatology, Vol. 149, No. 1-2, pp. 787–804

Publisher

Springer Nature

Publication Date

7 2022

DOI

10.1007/s00704-022-04062-z

ISSN

0177-798X