Articles | Volume 14, issue 9
Earth Syst. Sci. Data, 14, 3875–3887, 2022
https://doi.org/10.5194/essd-14-3875-2022

Special issue: Extreme environment datasets for the three poles

Earth Syst. Sci. Data, 14, 3875–3887, 2022
https://doi.org/10.5194/essd-14-3875-2022
Data description paper
31 Aug 2022
Data description paper | 31 Aug 2022

Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics

Zhuoxuan Xia 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 essd-2021-439', Anonymous Referee #1, 07 Feb 2022
    • AC1: 'Reply on RC1', Xia Zhuoxuan, 08 Apr 2022
  • RC2: 'Comment on essd-2021-439', Ingmar Nitze, 25 Feb 2022
    • AC2: 'Reply on RC2', Xia Zhuoxuan, 08 Apr 2022
  • RC3: 'Comment on essd-2021-439', Anonymous Referee #3, 03 Mar 2022
    • AC3: 'Reply on RC3', Xia Zhuoxuan, 08 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xia Zhuoxuan on behalf of the Authors (16 Apr 2022)  Author's response
ED: Referee Nomination & Report Request started (16 May 2022) by Xin Li
RR by Anonymous Referee #3 (24 May 2022)
RR by Anonymous Referee #1 (02 Jun 2022)
RR by Yili Yang (13 Jun 2022)
RR by Anonymous Referee #5 (14 Jun 2022)
ED: Publish subject to minor revisions (review by editor) (20 Jun 2022) by Xin Li
AR by Xia Zhuoxuan on behalf of the Authors (30 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Jul 2022) by Xin Li
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Short summary
Retrogressive thaw slumps are slope failures resulting from abrupt permafrost thaw, and are widely distributed along the Qinghai–Tibet Engineering Corridor. The potential damage to infrastructure and carbon emission of thaw slumps motivated us to obtain an inventory of thaw slumps. We used a semi-automatic method to map 875 thaw slumps, filling the knowledge gap of thaw slump locations and providing key benchmarks for analysing the distribution features and quantifying spatio-temporal changes.