Articles | Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2701–2723, 2017
https://doi.org/10.5194/hess-21-2701-2017
Hydrol. Earth Syst. Sci., 21, 2701–2723, 2017
https://doi.org/10.5194/hess-21-2701-2017

Research article 08 Jun 2017

Research article | 08 Jun 2017

Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy)

Emanuele Bevacqua et al.

Data sets

CDVineCopulaConditional: Sampling from Conditional C- and D-Vine Copulas E. Bevacqua https://CRAN.R-project.org/package=CDVineCopulaConditional

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Short summary
We develop a conceptual model to quantify the risk of compound events (CEs), i.e. extreme impacts to society which are driven by statistically dependent climatic variables. Based on this model we study compound floods, i.e. joint storm surge and high river level, in Ravenna (Italy). The model includes meteorological predictors which (1) provide insight into the physical processes underlying CEs, as well as into the temporal variability, and (2) allow us to statistically downscale CEs.