Articles | Volume 17, issue 1
https://doi.org/10.5194/tc-17-349-2023
https://doi.org/10.5194/tc-17-349-2023
Research article
 | 
24 Jan 2023
Research article |  | 24 Jan 2023

Ice thickness and water level estimation for ice-covered lakes with satellite altimetry waveforms and backscattering coefficients

Xingdong Li, Di Long, Yanhong Cui, Tingxi Liu, Jing Lu, Mohamed A. Hamouda, and Mohamed M. Mohamed

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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-2022-132', Anonymous Referee #1, 13 Sep 2022
    • AC1: 'Reply on RC1', Di Long, 17 Oct 2022
  • RC2: 'Comment on tc-2022-132', Anonymous Referee #2, 21 Sep 2022
    • AC2: 'Reply on RC2', Di Long, 17 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (20 Oct 2022) by Homa Kheyrollah Pour
AR by Di Long on behalf of the Authors (08 Nov 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (05 Dec 2022) by Homa Kheyrollah Pour
ED: Publish as is (09 Jan 2023) by Homa Kheyrollah Pour
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Short summary
This study blends advantages of altimetry backscattering coefficients and waveforms to estimate ice thickness for lakes without in situ data and provides an improved water level estimation for ice-covered lakes by jointly using different threshold retracking methods. Our results show that a logarithmic regression model is more adaptive in converting altimetry backscattering coefficients into ice thickness, and lake surface snow has differential impacts on different threshold retracking methods.