Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-2939-2024
https://doi.org/10.5194/nhess-24-2939-2024
Research article
 | 
03 Sep 2024
Research article |  | 03 Sep 2024

Global estimates of 100-year return values of daily precipitation from ensemble weather prediction data

Florian Ruff and Stephan Pfahl

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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-2023-2057', Anonymous Referee #1, 05 Jan 2024
    • AC1: 'Reply on RC1', Florian Ruff, 17 Mar 2024
  • RC2: 'Comment on egusphere-2023-2057', Anonymous Referee #2, 13 Jan 2024
    • AC1: 'Reply on RC1', Florian Ruff, 17 Mar 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) (17 Mar 2024) by Joaquim G. Pinto
AR by Florian Ruff on behalf of the Authors (14 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 May 2024) by Joaquim G. Pinto
RR by Anonymous Referee #2 (31 May 2024)
ED: Publish subject to minor revisions (review by editor) (25 Jun 2024) by Joaquim G. Pinto
AR by Florian Ruff on behalf of the Authors (03 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Jul 2024) by Joaquim G. Pinto
AR by Florian Ruff on behalf of the Authors (11 Jul 2024)
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Short summary
High-impact river floods are often caused by extreme precipitation. Flood protection relies on reliable estimates of the return values. Observational time series are too short for a precise calculation. Here, 100-year return values of daily precipitation are estimated on a global grid based on a large set of model-generated precipitation events from ensemble weather prediction. The statistical uncertainties in the return values can be substantially reduced compared to observational estimates.
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