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.

Viewed

Total article views: 6,450 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,397 1,848 205 6,450 91 107
  • HTML: 4,397
  • PDF: 1,848
  • XML: 205
  • Total: 6,450
  • BibTeX: 91
  • EndNote: 107
Views and downloads (calculated since 02 Jan 2017)
Cumulative views and downloads (calculated since 02 Jan 2017)

Viewed (geographical distribution)

Total article views: 5,932 (including HTML, PDF, and XML) Thereof 5,893 with geography defined and 39 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 May 2022
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.