Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2681-2020
https://doi.org/10.5194/nhess-20-2681-2020
Research article
 | 
10 Oct 2020
Research article |  | 10 Oct 2020

Multivariate statistical modelling of the drivers of compound flood events in south Florida

Robert Jane, Luis Cadavid, Jayantha Obeysekera, and Thomas Wahl

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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: Reconsider after major revisions (further review by editor and referees) (21 Jul 2020) by Sylvie Parey
AR by Anna Wenzel on behalf of the Authors (30 Jul 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Jul 2020) by Sylvie Parey
RR by Hamed Moftakhari (07 Aug 2020)
RR by Anonymous Referee #2 (12 Aug 2020)
ED: Publish subject to technical corrections (26 Aug 2020) by Sylvie Parey
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Short summary
Full dependence is assumed between drivers in flood protection assessments of coastal water control structures in south Florida. A 2-D analysis of rainfall and coastal water level showed that the magnitude of the conservative assumption in the original design is highly sensitive to the regional sea level rise projection considered. The vine copula and HT04 model outperformed five higher-dimensional copulas in capturing the dependence between rainfall, coastal water level, and groundwater level.
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