Articles | Volume 30, issue 11
https://doi.org/10.5194/hess-30-3455-2026
https://doi.org/10.5194/hess-30-3455-2026
Research article
 | 
05 Jun 2026
Research article |  | 05 Jun 2026

Cause-effect discovery in hydrometeorological systems: evaluation of causal discovery methods

Vivek Kumar Yadav, Murray C. Peel, Keirnan Fowler, Dongryeol Ryu, and Bramha Dutt Vishwakarma

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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-2025-4650', Uwe Ehret, 12 Dec 2025
    • AC1: 'Reply on RC1', Vivek Kumar Yadav, 10 Feb 2026
  • RC2: 'Comment on egusphere-2025-4650', Anonymous Referee #2, 18 Dec 2025
    • AC2: 'Reply on RC2', Vivek Kumar Yadav, 10 Feb 2026

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) (19 Feb 2026) by Yonggen Zhang
AR by Vivek Kumar Yadav on behalf of the Authors (16 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Apr 2026) by Yonggen Zhang
RR by Lu Li (22 Apr 2026)
RR by Uwe Ehret (03 May 2026)
ED: Publish subject to minor revisions (review by editor) (19 May 2026) by Yonggen Zhang
AR by Vivek Kumar Yadav on behalf of the Authors (20 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 May 2026) by Yonggen Zhang
AR by Vivek Kumar Yadav on behalf of the Authors (25 May 2026)  Manuscript 
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Short summary
Identifying drivers is crucial for process understanding and predictions. In Hydrometeorological systems, many variables are closely related, and common methods often rely on correlation. We describe theoretically distinct methods of discovering cause-effect relations from data. We evaluate them in a large simulated environment. Results show that finding cause-effect relations provides a parsimonious picture and to obtain robust predictions, especially under changing environmental conditions.
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