Articles | Volume 19, issue 7
https://doi.org/10.5194/tc-19-2635-2025
https://doi.org/10.5194/tc-19-2635-2025
Research article
 | 
22 Jul 2025
Research article |  | 22 Jul 2025

Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2

Tiantian Feng, Xinyu Ma, and Xiaomin Liu

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (20 Jan 2025) by Louise Sandberg Sørensen
AR by T. Feng on behalf of the Authors (22 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Feb 2025) by Louise Sandberg Sørensen
RR by Laura Melling (11 Feb 2025)
RR by Anonymous Referee #2 (23 Mar 2025)
ED: Publish subject to minor revisions (review by editor) (25 Mar 2025) by Louise Sandberg Sørensen
AR by T. Feng on behalf of the Authors (02 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (28 Apr 2025) by Louise Sandberg Sørensen
AR by T. Feng on behalf of the Authors (29 Apr 2025)  Manuscript 
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Short summary
During the melting season, substantial quantities of surface meltwater converge in topographically depressed regions, forming supraglacial lakes (SGLs). We extract SGL area and profile depth using remote sensing data and then invert the depth of entire SGLs based on the machine learning method. By applying the above-mentioned methods, we capture the volumetric evolution of SGLs throughout the entire melt season of 2022 in southwestern Greenland.
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