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

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

doi:https://doi.org/10.5194/nhess-20-2681-2020

Articles | Volume 20, issue 10

https://doi.org/10.5194/nhess-20-2681-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Advances in extreme value analysis and application to natural...

https://doi.org/10.5194/nhess-20-2681-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 10

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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Final revised paper (published on 10 Oct 2020)
Supplement to the final revised paper
Preprint (discussion started on 02 Apr 2020)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of "Multivariate statistical modelling of the drivers of compound flood events in South Florida"', Anonymous Referee #1, 16 May 2020
- AC1: 'Response to Anonymous Referee #1', Robert Jane, 10 Jul 2020
RC2: 'Review', Anonymous Referee #2, 18 May 2020
- AC2: 'Response to Anonymous Referee #2', Robert Jane, 10 Jul 2020

Peer-review completion

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 Robert Jane on behalf of the Authors (23 Jul 2020)

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

AR by Robert Jane on behalf of the Authors (26 Aug 2020) Manuscript

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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.