Articles | Volume 24, issue 3
Research article
14 Mar 2024
Research article |  | 14 Mar 2024

Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica

Dino Collalti, Nekeisha Spencer, and Eric Strobl


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-162', Ify Nwaogazie, 07 Oct 2023
    • AC1: 'Reply on RC1', Dino Collalti, 10 Oct 2023
  • RC2: 'Comment on nhess-2023-162', Anonymous Referee #2, 22 Dec 2023
    • AC2: 'Reply on RC2', Dino Collalti, 04 Jan 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) (17 Jan 2024) by Olga Petrucci
AR by Dino Collalti on behalf of the Authors (26 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (26 Jan 2024) by Olga Petrucci
AR by Dino Collalti on behalf of the Authors (02 Feb 2024)
Short summary
The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Final-revised paper