Articles | Volume 18, issue 9
https://doi.org/10.5194/tc-18-4197-2024
https://doi.org/10.5194/tc-18-4197-2024
Research article
 | 
18 Sep 2024
Research article |  | 18 Sep 2024

Employing automated electrical resistivity tomography for detecting short- and long-term changes in permafrost and active-layer dynamics in the maritime Antarctic

Mohammad Farzamian, Teddi Herring, Gonçalo Vieira, Miguel Angel de Pablo, Borhan Yaghoobi Tabar, and Christian Hauck

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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-2023-2908', Anonymous Referee #1, 21 Mar 2024
  • RC2: 'Comment on egusphere-2023-2908', Anonymous Referee #2, 24 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (24 Jul 2024) by Ylva Sjöberg
AR by Mohammad Farzamian on behalf of the Authors (26 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (03 Aug 2024) by Ylva Sjöberg
AR by Mohammad Farzamian on behalf of the Authors (05 Aug 2024)  Manuscript 
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Short summary
An automated electrical resistivity tomography (A-ERT) system was developed and deployed in Antarctica to monitor permafrost and active-layer dynamics. The A-ERT, coupled with an efficient processing workflow, demonstrated its capability to monitor real-time thaw depth progression, detect seasonal and surficial freezing–thawing events, and assess permafrost stability. Our study showcased the potential of A-ERT to contribute to global permafrost monitoring networks.