AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description

Vanhellemont, Filip; Mateshvili, Nina; Blanot, Laurent; Robert, Charles Étienne; Bingen, Christine; Sofieva, Viktoria; Dalaudier, Francis; Tétard, Cédric; Fussen, Didier; Dekemper, Emmanuel; Kyrölä, Erkki; Laine, Marko; Tamminen, Johanna; Zehner, Claus

doi:https://doi.org/10.5194/amt-9-4687-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/amt-9-4687-2016

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

https://doi.org/10.5194/amt-9-4687-2016

© 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 1: Algorithm description

Filip Vanhellemont, Nina Mateshvili, Laurent Blanot, Charles Étienne Robert, Christine Bingen, Viktoria Sofieva, Francis Dalaudier, Cédric Tétard, Didier Fussen, Emmanuel Dekemper, Erkki Kyrölä, Marko Laine, Johanna Tamminen, and Claus Zehner

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Final revised paper (published on 21 Sep 2016)
Preprint (discussion started on 05 Feb 2016)
Companion paper

Interactive discussion

Status: closed

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

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RC1: 'AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations. Part 1: Algorithm development', Anonymous Referee #1, 08 Mar 2016
- AC1: 'Comments on the review by Referee #1', Filip Vanhellemont, 01 Jun 2016
RC2: 'Review of the paper', Anonymous Referee #2, 14 Mar 2016
- AC2: 'Comments on the review by Referee #2', Filip Vanhellemont, 01 Jun 2016

Short summary

The GOMOS instrument on Envisat has delivered a valuable aerosol extinction data set for the Earth's upper troposphere and stratosphere, from 2002 to 2012. However, at many optical wavelengths, data quality was not optimal. This article describes the AerGOM retrieval algorithm that was built to solve the problem and presents a first look at the reprocessed GOMOS data, clearly demonstrating the improvement. Multi-wavelength studies of atmospheric aerosol–cloud properties will now be possible.