Articles | Volume 19, issue 10
https://doi.org/10.5194/tc-19-4237-2025
https://doi.org/10.5194/tc-19-4237-2025
Research article
 | 
06 Oct 2025
Research article |  | 06 Oct 2025

Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland ice sheet using L-band radiometry

Alamgir Hossan, Andreas Colliander, Baptiste Vandecrux, Nicole-Jeanne Schlegel, Joel Harper, Shawn Marshall, and Julie Z. Miller

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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-2024-2563', Anonymous Referee #1, 25 Oct 2024
  • RC2: 'Comment on egusphere-2024-2563', Anonymous Referee #2, 27 Jan 2025

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 Mar 2025) by Melody Sandells
AR by Alamgir Hossan on behalf of the Authors (02 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (24 Apr 2025) by Melody Sandells
AR by Alamgir Hossan on behalf of the Authors (11 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (28 May 2025) by Melody Sandells
AR by Alamgir Hossan on behalf of the Authors (28 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (18 Jun 2025) by Melody Sandells
AR by Alamgir Hossan on behalf of the Authors (19 Jun 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (16 Jul 2025) by Melody Sandells
AR by Alamgir Hossan on behalf of the Authors (17 Jul 2025)  Author's response   Manuscript 
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Short summary
We used L-band observations from the Soil Moisture Active Passive (SMAP) mission to quantify the surface and subsurface liquid water amounts (LWAs) in the percolation zone of the Greenland ice sheet. The algorithm is described, and the validation results are provided. The results demonstrate the potential for creating an LWA data product across the Greenland ice sheet (GrIS), which will advance our understanding of ice sheet physical processes for better projection of Greenland’s contribution to global sea level rise.
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