Articles | Volume 26, issue 7
Hydrol. Earth Syst. Sci., 26, 1845–1856, 2022
https://doi.org/10.5194/hess-26-1845-2022
Hydrol. Earth Syst. Sci., 26, 1845–1856, 2022
https://doi.org/10.5194/hess-26-1845-2022
Research article
12 Apr 2022
Research article | 12 Apr 2022

Critical transitions in the hydrological system: early-warning signals and network analysis

Xueli Yang et al.

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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-2021-120', Anonymous Referee #1, 19 Apr 2021
    • AC2: 'Reply on RC2', Zhi-Hua Wang, 22 Nov 2021
    • AC1: 'Comment on hess-2021-120', Zhi-Hua Wang, 25 May 2021
  • AC1: 'Comment on hess-2021-120', Zhi-Hua Wang, 25 May 2021
    • RC3: 'Review comments', Anonymous Referee #2, 05 Nov 2021
      • AC2: 'Reply on RC2', Zhi-Hua Wang, 22 Nov 2021
      • AC1: 'Comment on hess-2021-120', Zhi-Hua Wang, 25 May 2021
  • RC2: 'Comment on hess-2021-120', Anonymous Referee #1, 13 Jun 2021
    • AC2: 'Reply on RC2', Zhi-Hua Wang, 22 Nov 2021
    • AC1: 'Comment on hess-2021-120', Zhi-Hua Wang, 25 May 2021
    • AC3: 'Reply on RC2', Zhi-Hua Wang, 25 Nov 2021
  • EC1: 'Comment on hess-2021-120', Dimitri Solomatine, 10 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (10 Dec 2021) by Dimitri Solomatine
AR by Zhi-Hua Wang on behalf of the Authors (10 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (30 Dec 2021) by Dimitri Solomatine
RR by Anonymous Referee #1 (01 Jan 2022)
RR by Anonymous Referee #2 (02 Feb 2022)
ED: Publish subject to revisions (further review by editor and referees) (09 Feb 2022) by Dimitri Solomatine
AR by Zhi-Hua Wang on behalf of the Authors (11 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (23 Feb 2022) by Dimitri Solomatine
ED: Publish as is (18 Mar 2022) by Dimitri Solomatine
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Short summary
In this study, we investigated potentially catastrophic transitions in hydrological processes by identifying the early-warning signals which manifest as a critical slowing down in complex dynamic systems. We then analyzed the precipitation network of cities in the contiguous United States and found that key network parameters, such as the nodal density and the clustering coefficient, exhibit similar dynamic behaviour, which can serve as novel early-warning signals for the hydrological system.