Articles | Volume 18, issue 8
https://doi.org/10.5194/tc-18-3857-2024
https://doi.org/10.5194/tc-18-3857-2024
Research article
 | 
28 Aug 2024
Research article |  | 28 Aug 2024

Retrieval of snow and soil properties for forward radiative transfer modeling of airborne Ku-band SAR to estimate snow water equivalent: the Trail Valley Creek 2018/19 snow experiment

Benoit Montpetit, Joshua King, Julien Meloche, Chris Derksen, Paul Siqueira, J. Max Adam, Peter Toose, Mike Brady, Anna Wendleder, Vincent Vionnet, and Nicolas R. Leroux

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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-2024-651', Anonymous Referee #1, 14 Apr 2024
  • RC2: 'Comment on egusphere-2024-651', Anonymous Referee #2, 29 Apr 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) (14 May 2024) by Carrie Vuyovich
AR by Benoit Montpetit on behalf of the Authors (21 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Jun 2024) by Carrie Vuyovich
RR by Anonymous Referee #2 (24 Jun 2024)
ED: Publish as is (08 Jul 2024) by Carrie Vuyovich
AR by Benoit Montpetit on behalf of the Authors (16 Jul 2024)  Manuscript 
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Short summary
This paper validates the use of free open-source models to link distributed snow measurements to radar measurements in the Canadian Arctic. Using multiple radar sensors, we can decouple the soil from the snow contribution. We then retrieve the "microwave snow grain size" to characterize the interaction between the snow mass and the radar signal. This work supports future satellite mission development to retrieve snow mass information such as the future Canadian Terrestrial Snow Mass Mission.