Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3167-2022
https://doi.org/10.5194/nhess-22-3167-2022
Research article
 | 
06 Oct 2022
Research article |  | 06 Oct 2022

Partitioning the contributions of dependent offshore forcing conditions in the probabilistic assessment of future coastal flooding

Jeremy Rohmer, Deborah Idier, Remi Thieblemont, Goneri Le Cozannet, and François Bachoc

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-271', Anonymous Referee #1, 10 Jan 2022
  • RC2: 'Comment on nhess-2021-271', Anonymous Referee #2, 16 Feb 2022
  • RC3: 'Comment on nhess-2021-271', Anonymous Referee #3, 21 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (20 Apr 2022) by Animesh Gain
AR by Jeremy Rohmer on behalf of the Authors (02 May 2022)  Author's response   Author's tracked changes   Manuscript 
EF by Sarah Buchmann (03 May 2022)  Supplement 
ED: Referee Nomination & Report Request started (06 May 2022) by Animesh Gain
RR by Anonymous Referee #3 (16 May 2022)
RR by Anonymous Referee #1 (22 May 2022)
ED: Reconsider after major revisions (further review by editor and referees) (23 May 2022) by Animesh Gain
AR by Jeremy Rohmer on behalf of the Authors (04 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Jul 2022) by Animesh Gain
AR by Jeremy Rohmer on behalf of the Authors (18 Jul 2022)  Manuscript 
Download
Short summary
We quantify the influence of wave–wind characteristics, offshore water level and sea level rise (projected up to 2200) on the occurrence of flooding events at Gâvres, French Atlantic coast. Our results outline the overwhelming influence of sea level rise over time compared to the others. By showing the robustness of our conclusions to the errors in the estimation procedure, our approach proves to be valuable for exploring and characterizing uncertainties in assessments of future flooding.
Altmetrics
Final-revised paper
Preprint