Articles | Volume 15, issue 10
https://doi.org/10.5194/tc-15-4901-2021
https://doi.org/10.5194/tc-15-4901-2021
Brief communication
 | 
21 Oct 2021
Brief communication |  | 21 Oct 2021

Brief communication: Detection of glacier surge activity using cloud computing of Sentinel-1 radar data

Paul Willem Leclercq, Andreas Kääb, and Bas Altena

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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 tc-2021-89', Anonymous Referee #1, 04 Jun 2021
    • RC2: 'RC2', Anonymous Referee #2, 10 Jun 2021
      • AC2: 'Reply on RC2', Paul Leclercq, 05 Aug 2021
    • AC1: 'Reply on RC1 and RC2', Paul Leclercq, 05 Aug 2021
  • EC1: 'Community comment on tc-2021-89 from H. Jiskoot', Nanna Bjørnholt Karlsson, 15 Sep 2021
    • AC3: 'Reply on EC1, community comment by H. Jiskoot', Paul Leclercq, 16 Sep 2021

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) (23 Aug 2021) by Nanna Bjørnholt Karlsson
AR by Paul Leclercq on behalf of the Authors (27 Aug 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (20 Sep 2021) by Nanna Bjørnholt Karlsson
AR by Paul Leclercq on behalf of the Authors (20 Sep 2021)  Author's response   Manuscript 
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Short summary
In this study we present a novel method to detect glacier surge activity. Surges are relevant as they disturb the link between glacier change and climate, and studying surges can also increase understanding of glacier flow. We use variations in Sentinel-1 radar backscatter strength, calculated with the use of Google Earth Engine, to detect surge activity. In our case study for the year 2018–2019 we find 69 cases of surging glaciers globally. Many of these were not previously known to be surging.