Articles | Volume 29, issue 19
https://doi.org/10.5194/hess-29-4811-2025
https://doi.org/10.5194/hess-29-4811-2025
Research article
 | 
30 Sep 2025
Research article |  | 30 Sep 2025

Statistical estimation of probable maximum precipitation

Anne Martin, Élyse Fournier, and Jonathan Jalbert

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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 egusphere-2024-2594', Anonymous Referee #1, 20 Sep 2024
  • RC2: 'Comment on egusphere-2024-2594', Anonymous Referee #2, 18 Nov 2024
  • RC3: 'Comment on egusphere-2024-2594', Anonymous Referee #3, 19 Nov 2024

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) (05 Jan 2025) by Nadav Peleg
AR by Jonathan Jalbert on behalf of the Authors (16 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Feb 2025) by Nadav Peleg
RR by Anonymous Referee #1 (03 Mar 2025)
RR by Anonymous Referee #2 (26 Mar 2025)
ED: Publish subject to revisions (further review by editor and referees) (29 Mar 2025) by Nadav Peleg
AR by Jonathan Jalbert on behalf of the Authors (29 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (03 Jun 2025) by Nadav Peleg
RR by Anonymous Referee #2 (04 Jul 2025)
ED: Publish as is (07 Jul 2025) by Nadav Peleg
AR by Jonathan Jalbert on behalf of the Authors (08 Jul 2025)
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Short summary
This paper presents a new statistical method to estimate probable maximum precipitation (PMP), addressing flaws in traditional approaches. It accounts for uncertainty using the Pearson Type-I distribution. Applied to two Québec stations, it provides more objective PMP estimates. Challenges remain due to short-tailed models applied to heavy-tailed precipitation. Best practice recommendations are also provided for estimating PMP.
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