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.
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.
the Creative Commons Attribution 3.0 License.
AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description
Filip Vanhellemont
CORRESPONDING AUTHOR
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Nina Mateshvili
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Laurent Blanot
ACRI-ST, Sophia Antipolis, France
Charles Étienne Robert
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Christine Bingen
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Viktoria Sofieva
Finnish Meteorological Institute, Helsinki, Finland
Francis Dalaudier
Laboratoire Atmosphères, Milieux, Observations Spatiales, Guyancourt, France
Cédric Tétard
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Didier Fussen
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Emmanuel Dekemper
Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Erkki Kyrölä
Finnish Meteorological Institute, Helsinki, Finland
Marko Laine
Finnish Meteorological Institute, Helsinki, Finland
Johanna Tamminen
Finnish Meteorological Institute, Helsinki, Finland
Claus Zehner
ESA-ESRIN, Frascati, Italy
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Latest update: 03 Dec 2025
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.
The GOMOS instrument on Envisat has delivered a valuable aerosol extinction data set for the...