Articles | Volume 15, issue 10
Data description paper
06 Oct 2023
Data description paper |  | 06 Oct 2023

A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022)

Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-49', Ionut Cristi Nicu, 13 Mar 2023
  • RC2: 'Comment on essd-2023-49', Anonymous Referee #2, 10 Apr 2023
  • RC3: 'Comment on essd-2023-49', Anonymous Referee #3, 13 Apr 2023
  • AC1: 'Reply to reviewers' comments on essd-2023-49', Liguang Jiang, 15 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Liguang Jiang on behalf of the Authors (27 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Aug 2023) by Yuanzhi Yao
RR by Anonymous Referee #3 (09 Aug 2023)
RR by Anonymous Referee #2 (20 Aug 2023)
ED: Publish as is (30 Aug 2023) by Yuanzhi Yao
AR by Liguang Jiang on behalf of the Authors (31 Aug 2023)
Short summary
River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Final-revised paper