Articles | Volume 29, issue 6
https://doi.org/10.5194/hess-29-1703-2025
https://doi.org/10.5194/hess-29-1703-2025
Research article
 | 
26 Mar 2025
Research article |  | 26 Mar 2025

Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable

Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz

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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-2024-120', Anonymous Referee #1, 10 Jun 2024
    • AC1: 'Reply on RC1', Muhammad Ibrahim, 16 Oct 2024
  • RC2: 'Comment on hess-2024-120', Anonymous Referee #2, 25 Jul 2024
    • AC2: 'Reply on RC2', Muhammad Ibrahim, 16 Oct 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) (22 Oct 2024) by Nunzio Romano
AR by Muhammad Ibrahim on behalf of the Authors (10 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Nov 2024) by Nunzio Romano
RR by Anonymous Referee #1 (03 Dec 2024)
RR by Anonymous Referee #2 (12 Dec 2024)
ED: Publish subject to minor revisions (review by editor) (20 Dec 2024) by Nunzio Romano
AR by Muhammad Ibrahim on behalf of the Authors (09 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jan 2025) by Nunzio Romano
AR by Muhammad Ibrahim on behalf of the Authors (27 Jan 2025)  Manuscript 
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Short summary
The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
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