Articles | Volume 29, issue 12
https://doi.org/10.5194/hess-29-2727-2025
https://doi.org/10.5194/hess-29-2727-2025
Research article
 | 
01 Jul 2025
Research article |  | 01 Jul 2025

A novel framework for analyzing rainy season dynamics in semi-arid environments: a case study in the Peruvian Rio Santa basin

Lorenz Hänchen, Emily Potter, Cornelia Klein, Pierluigi Calanca, Fabien Maussion, Wolfgang Gurgiser, and Georg Wohlfahrt

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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-2024-3263', Jingwei Zhou, 18 Dec 2024
    • AC1: 'Reply on RC1', Lorenz Hänchen, 31 Jan 2025
  • RC2: 'Comment on egusphere-2024-3263', Anonymous Referee #2, 27 Dec 2024
    • AC2: 'Reply on RC2', Lorenz Hänchen, 31 Jan 2025

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) (01 Feb 2025) by Rohini Kumar
AR by Lorenz Hänchen on behalf of the Authors (01 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (03 Feb 2025) by Rohini Kumar
RR by Anonymous Referee #3 (18 Mar 2025)
ED: Publish subject to minor revisions (review by editor) (18 Mar 2025) by Rohini Kumar
AR by Lorenz Hänchen on behalf of the Authors (01 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (01 Apr 2025) by Rohini Kumar
AR by Lorenz Hänchen on behalf of the Authors (02 Apr 2025)
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Short summary
In semi-arid regions, the timing and duration of the rainy season are crucial for agriculture. This study introduces a new framework for improving estimations of the onset and end of the rainy season by testing how well they fit local vegetation data. We improve the performance of existing methods and present a new one with higher performance. Our findings can help us to make informed decisions about water usage, and the framework can be applied to other regions as well.
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