Articles | Volume 20, issue 1
https://doi.org/10.5194/tc-20-811-2026
https://doi.org/10.5194/tc-20-811-2026
Research article
 | 
30 Jan 2026
Research article |  | 30 Jan 2026

Satellite telemetry of surface ablation to inform spatial melt modelling and event-scale monitoring, Place Glacier, Canada

Alexandre R. Bevington, Brian Menounos, and Mark Ednie

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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-2025-2702', Anonymous Referee #1, 21 Jul 2025
  • CC1: 'Reviewer Comment on egusphere-2025-2702', Mauri Pelto, 27 Jul 2025
  • RC2: 'Comment on egusphere-2025-2702', Anonymous Referee #2, 21 Aug 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (27 Nov 2025) by Stephen Howell
AR by Alexandre Bevington on behalf of the Authors (27 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Dec 2025) by Stephen Howell
RR by Anonymous Referee #1 (12 Dec 2025)
RR by Anonymous Referee #2 (18 Dec 2025)
ED: Publish subject to minor revisions (review by editor) (19 Dec 2025) by Stephen Howell
AR by Alexandre Bevington on behalf of the Authors (09 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Jan 2026) by Stephen Howell
AR by Alexandre Bevington on behalf of the Authors (17 Jan 2026)
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Short summary
We developed automated "smart stakes" to study how quickly glaciers melt during hot weather. The low-cost devices were installed on Place Glacier in British Columbia and sent data by satellite in 2024. We show that just three heat periods caused more than half of the glacier's total summer melt, even though these events lasted only one-third of the melt season. This system provided measurements that would be impossible with traditional methods and we show that the data can improved melt models.
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