Articles | Volume 18, issue 7
https://doi.org/10.5194/nhess-18-1937-2018
https://doi.org/10.5194/nhess-18-1937-2018
Research article
 | 
12 Jul 2018
Research article |  | 12 Jul 2018

Estimations of statistical dependence as joint return period modulator of compound events – Part 1: Storm surge and wave height

Thomas I. Petroliagkis

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (08 Dec 2017) by Uwe Ulbrich
AR by Anna Wenzel on behalf of the Authors (03 Jan 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Jan 2018) by Uwe Ulbrich
RR by Anonymous Referee #3 (16 Feb 2018)
RR by Anonymous Referee #1 (05 Mar 2018)
ED: Reconsider after major revisions (further review by editor and referees) (26 Mar 2018) by Uwe Ulbrich
AR by Thomas Petroliagkis on behalf of the Authors (12 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 May 2018) by Uwe Ulbrich
RR by Anonymous Referee #1 (02 Jun 2018)
ED: Publish subject to technical corrections (15 Jun 2018) by Uwe Ulbrich
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Short summary
Compound events – that is, two or more events occurring simultaneously – can lead to high impacts, even if the two single events are not extreme per se, i.e. only their combination. The possibility of utilizing statistical dependence methods in coastal flood hazard calculations is investigated. The statistical analysis between storm surge and wave height is performed over 32 river ending points along European coasts. The top 80 compound events are defined, and their low-level flow is analysed.
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