Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2403-2024
https://doi.org/10.5194/nhess-24-2403-2024
Research article
 | 
16 Jul 2024
Research article |  | 16 Jul 2024

Global application of a regional frequency analysis to extreme sea levels

Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review comment on egusphere-2023-2267', Anonymous Referee #1, 16 Nov 2023
    • AC1: 'Reply on RC1', Thomas Collings, 28 Feb 2024
  • RC2: 'Comment on egusphere-2023-2267', Anonymous Referee #2, 18 Dec 2023
    • AC2: 'Reply on RC2', Thomas Collings, 28 Feb 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (21 Apr 2024) by Rachid Omira
AR by Thomas Collings on behalf of the Authors (26 Apr 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 May 2024) by Rachid Omira
AR by Thomas Collings on behalf of the Authors (20 May 2024)  Manuscript 
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Short summary
Coastal areas are at risk of flooding from rising sea levels and extreme weather events. This study applies a new approach to estimating the likelihood of coastal flooding around the world. The method uses data from observations and computer models to create a detailed map of where these coastal floods might occur. The approach can predict flooding in areas for which there are few or no data available. The results can be used to help prepare for and prevent this type of flooding.
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