Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2145-2022
https://doi.org/10.5194/nhess-22-2145-2022
Research article
 | 
27 Jun 2022
Research article |  | 27 Jun 2022

Characterizing multivariate coastal flooding events in a semi-arid region: the implications of copula choice, sampling, and infrastructure

Joseph T. D. Lucey and Timu W. Gallien

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (11 Nov 2021) by Philip Ward
AR by Timu Gallien on behalf of the Authors (23 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (25 Nov 2021) by Philip Ward
RR by Anonymous Referee #2 (10 Dec 2021)
RR by Anonymous Referee #3 (21 Jan 2022)
ED: Reconsider after major revisions (further review by editor and referees) (26 Jan 2022) by Philip Ward
AR by Timu Gallien on behalf of the Authors (06 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 Apr 2022) by Philip Ward
RR by Anonymous Referee #3 (06 May 2022)
ED: Publish as is (10 May 2022) by Philip Ward
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Short summary
Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows, rainfall) occurring at the same time. This study characterizes flooding events caused by high marine water levels and rain. Results show that wet-season coinciding sampling may better describe extreme flooding events in a dry, tidally dominated region. A joint-probability-based function is then used to estimate sea wall impacts on urban coastal flooding.
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