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An Uncertainty Partition Approach for Inferring...
Preprint

An Uncertainty Partition Approach for Inferring Interactive Hydrologic Risks

Abstract

Extensive uncertainties exist in hydrologic risk analysis. Particularly for interdependent hydrometeorological extremes, the random features in individual variables and their dependence structures may lead to bias and uncertainty in future risk inferences. In this study, a full-subsampling factorial copula (FSFC) approach is proposed to quantify parameter uncertainties and further reveal their contributions to predictive uncertainties in risk …

Authors

Fan Y; Huang K; Huang G; Li Y; Wang F

Pagination

pp. 1-58

DOI

10.5194/hess-2019-434

Preprint server

EGUsphere