Articles | Volume 17, issue 5
https://doi.org/10.5194/tc-17-1997-2023
https://doi.org/10.5194/tc-17-1997-2023
Research article
 | 
12 May 2023
Research article |  | 12 May 2023

Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)

Jack Tarricone, Ryan W. Webb, Hans-Peter Marshall, Anne W. Nolin, and Franz J. Meyer

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on tc-2022-224', Simon Gascoin, 18 Nov 2022
  • RC1: 'Comment on tc-2022-224', Cathleen Jones, 21 Dec 2022
  • RC2: 'Comment on tc-2022-224', Silvan Leinss, 22 Dec 2022

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 2023) by Alexandre Langlois
AR by Jack Tarricone on behalf of the Authors (31 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Apr 2023) by Alexandre Langlois
AR by Jack Tarricone on behalf of the Authors (12 Apr 2023)  Author's response   Manuscript 
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Short summary
Mountain snowmelt provides water for billions of people across the globe. Despite its importance, we cannot currently measure the amount of water in mountain snowpacks from satellites. In this research, we test the ability of an experimental snow remote sensing technique from an airplane in preparation for the same sensor being launched on a future NASA satellite. We found that the method worked better than expected for estimating important snowpack properties.