Articles | Volume 27, issue 20
https://doi.org/10.5194/hess-27-3719-2023
https://doi.org/10.5194/hess-27-3719-2023
Research article
 | 
20 Oct 2023
Research article |  | 20 Oct 2023

A principal-component-based strategy for regionalisation of precipitation intensity–duration–frequency (IDF) statistics

Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz

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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 hess-2022-233', Anonymous Referee #1, 12 Aug 2022
    • AC1: 'Reply on RC1', Kajsa Maria Parding, 26 Oct 2022
  • RC2: 'Comment on hess-2022-233', Anonymous Referee #2, 04 Sep 2022
    • AC2: 'Reply on RC2', Kajsa Maria Parding, 26 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (16 Jan 2023) by Dominic Mazvimavi
AR by Kajsa Maria Parding on behalf of the Authors (13 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (14 May 2023) by Dominic Mazvimavi
AR by Kajsa Maria Parding on behalf of the Authors (07 Aug 2023)  Manuscript 
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Short summary
Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.