Articles | Volume 22, issue 3
Nat. Hazards Earth Syst. Sci., 22, 1109–1128, 2022
https://doi.org/10.5194/nhess-22-1109-2022
Nat. Hazards Earth Syst. Sci., 22, 1109–1128, 2022
https://doi.org/10.5194/nhess-22-1109-2022
Research article
01 Apr 2022
Research article | 01 Apr 2022

Extreme-coastal-water-level estimation and projection: a comparison of statistical methods

Maria Francesca Caruso and Marco Marani

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-236', Anonymous Referee #1, 10 Sep 2021
  • RC2: 'Comment on nhess-2021-236', Anonymous Referee #2, 22 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (25 Nov 2021) by Philip Ward
AR by Maria Francesca Caruso on behalf of the Authors (21 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Jan 2022) by Philip Ward
RR by Anonymous Referee #1 (04 Feb 2022)
RR by Anonymous Referee #2 (07 Feb 2022)
ED: Publish subject to minor revisions (review by editor) (08 Feb 2022) by Philip Ward
AR by Maria Francesca Caruso on behalf of the Authors (17 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Feb 2022) by Philip Ward
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Short summary
We comparatively evaluate the predictive performance of traditional and new approaches to estimate the probability distributions of extreme coastal water levels. The metastatistical approach maximizes the use of observational information and provides reliable estimates of high quantiles with respect to traditional methods. Leveraging the increased estimation accuracy afforded by this approach, we investigate future changes in the frequency of extreme total water levels.
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