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.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (03 Apr 2017) by Demetris Koutsoyiannis
AR by Emanuele Bevacqua on behalf of the Authors (06 Apr 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 Apr 2017) by Demetris Koutsoyiannis
RR by Anonymous Referee #2 (13 Apr 2017)
RR by Anonymous Referee #1 (30 Apr 2017)
ED: Publish subject to technical corrections (01 May 2017) by Demetris Koutsoyiannis
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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.