AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons

Robert, Charles Étienne; Bingen, Christine; Vanhellemont, Filip; Mateshvili, Nina; Dekemper, Emmanuel; Tétard, Cédric; Fussen, Didier; Bourassa, Adam; Zehner, Claus

doi:https://doi.org/10.5194/amt-9-4701-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/amt-9-4701-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-4701-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 9

Research article

|

21 Sep 2016

Research article |

| 21 Sep 2016

AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons

Charles Étienne Robert, Christine Bingen, Filip Vanhellemont, Nina Mateshvili, Emmanuel Dekemper, Cédric Tétard, Didier Fussen, Adam Bourassa, and Claus Zehner

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Final revised paper (published on 21 Sep 2016)
Preprint (discussion started on 16 Mar 2016)
Companion paper

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comment on "AerGOM, an improved algorithm for stratospheric aerosol retrieval from GOMOS observations. Part 2: Intercomparisons" by Robert et al.', Steffen Dörner, 14 Apr 2016
- AC1: 'Response to Interactive comments from Referee #1', Charles Robert, 05 Aug 2016
RC2: 'Comment', Anonymous Referee #3, 14 Apr 2016
- AC2: 'Response to Interactive comments from Referee #3', Charles Robert, 05 Aug 2016
RC3: 'Reviewer Comment for AMT-2016-27', Anonymous Referee #2, 19 Apr 2016
- AC3: 'Response to Interactive comments from Referee #2', Charles Robert, 05 Aug 2016

Short summary

We compare stratospheric aerosol loading computed with a new computer algorithm with various established datasets to determine the overall agreement. Since the new results are based on observation of starlight through the Earth's atmosphere, various aspects of these measurements can influence the final results. A systematic analysis of these aspects, such as the star brightness and temperature, is carried out to see if, and how, they influence the agreement of the results with other datasets.