FRESCO-B: a fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2

Desmons, Marine; Wang, Ping; Stammes, Piet; Tilstra, L. Gijsbert

doi:https://doi.org/10.5194/amt-12-2485-2019

Articles | Volume 12, issue 4

https://doi.org/10.5194/amt-12-2485-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-2485-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 4

Research article

|

23 Apr 2019

Research article |

| 23 Apr 2019

FRESCO-B: a fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2

Marine Desmons, Ping Wang, Piet Stammes, and L. Gijsbert Tilstra

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Final revised paper (published on 23 Apr 2019)
Preprint (discussion started on 10 Dec 2018)

Interactive discussion

Status: closed

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

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RC1: 'review comments', Anonymous Referee #1, 29 Dec 2018
- AC1: 'Response to the anonymous referee #1', M. D. Desmons, 04 Mar 2019
RC2: 'Comments to "FRESCO-B: A fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2" by Desmons et al.', Anonymous Referee #2, 07 Jan 2019
- AC2: 'Response to the anonymous referee #2', M. D. Desmons, 04 Mar 2019

Peer-review completion

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

AR by Lorena Grabowski on behalf of the Authors (07 Mar 2019) Author's response

ED: Publish as is (11 Mar 2019) by Jun Wang

Short summary

The FRESCO algorithm is a simple, fast and robust algorithm used to retrieve cloud information during operational satellite data processing. FRESCO retrieves effective cloud fraction and cloud pressure from measurements in the oxygen A band around 761 nm. In this paper, we propose a new version of the algorithm, called FRESCO-B, which is based on measurements in the oxygen B band around 687 nm. Such a method leads to more accurate retrievals for vegetated surfaces.