The retrieval of snow properties from SLSTR Sentinel-3 – Part 1: Method description and sensitivity study

Mei, Linlu; Rozanov, Vladimir; Pohl, Christine; Vountas, Marco; Burrows, John P.

doi:https://doi.org/10.5194/tc-15-2757-2021

Articles | Volume 15, issue 6

https://doi.org/10.5194/tc-15-2757-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-15-2757-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Research article

|

18 Jun 2021

Research article |

| 18 Jun 2021

The retrieval of snow properties from SLSTR Sentinel-3 – Part 1: Method description and sensitivity study

Linlu Mei, Vladimir Rozanov, Christine Pohl, Marco Vountas, and John P. Burrows

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Final revised paper (published on 18 Jun 2021)
Preprint (discussion started on 07 Oct 2020)
Companion paper

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'comments for the manuscript', Anonymous Referee #1, 02 Nov 2020
- AC1: 'Reply on RC1', Linlu Mei, 05 Feb 2021
RC2: 'Review', Anonymous Referee #2, 21 Dec 2020
- AC2: 'Reply on RC2', Linlu Mei, 05 Feb 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (11 Feb 2021) by Alexandre Langlois

AR by Linlu Mei on behalf of the Authors (12 Mar 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (22 Mar 2021) by Alexandre Langlois

AR by Linlu Mei on behalf of the Authors (30 Mar 2021) Manuscript

Short summary

This paper presents a new snow property retrieval algorithm from satellite observations. This is Part 1 of two companion papers and shows the method description and sensitivity study. The paper investigates the major factors, including the assumptions of snow optical properties, snow particle distribution and atmospheric conditions (cloud and aerosol), impacting snow property retrievals from satellite observation.