Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-2895-2025
https://doi.org/10.5194/tc-19-2895-2025
Research article
 | 
06 Aug 2025
Research article |  | 06 Aug 2025

Assimilation of L-band interferometric synthetic aperture radar (InSAR) snow depth retrievals for improved snowpack quantification

Prabhakar Shrestha and Ana P. Barros

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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-2024-2644', Anonymous Referee #1, 04 Nov 2024
  • RC2: 'Comment on egusphere-2024-2644', HP Marshall, 06 Nov 2024

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) (22 Jan 2025) by Clara Draper
AR by Prabhakar Shrestha on behalf of the Authors (27 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (29 Jan 2025) by Clara Draper
RR by Anonymous Referee #3 (17 Feb 2025)
RR by Anonymous Referee #1 (28 Feb 2025)
ED: Publish subject to minor revisions (review by editor) (21 Mar 2025) by Clara Draper
AR by Prabhakar Shrestha on behalf of the Authors (27 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (20 May 2025) by Clara Draper
AR by Prabhakar Shrestha on behalf of the Authors (20 May 2025)
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Short summary
The study presents the first assimilation of snow depth obtained from repeat pass airborne L-band synthetic aperture radar with a snow hydrology model. The assimilation of snow depth was found to be equivalent to the downscaling of precipitation forcing with a bias correction, which improved the snowpack simulation compared to ground-based observations.
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