Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2701-2017
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, Douglas Maraun, Ingrid Hobæk Haff, Martin Widmann, and Mathieu Vrac

Viewed

Total article views: 11,665 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
8,245 3,077 343 11,665 158 190
  • HTML: 8,245
  • PDF: 3,077
  • XML: 343
  • Total: 11,665
  • BibTeX: 158
  • EndNote: 190
Views and downloads (calculated since 02 Jan 2017)
Cumulative views and downloads (calculated since 02 Jan 2017)

Viewed (geographical distribution)

Total article views: 11,665 (including HTML, PDF, and XML) Thereof 10,889 with geography defined and 776 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
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.