Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
doi:10.5194/amt-2016-28
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
05 Feb 2016
Review status
A revision of this discussion paper was accepted for the journal Atmospheric Measurement Techniques (AMT).
AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations. Part 1: Algorithm development
Filip Vanhellemont1, Nina Mateshvili1, Laurent Blanot3, Charles E. Robert1, Christine Bingen1, Viktoria Sofieva2, Francis Dalaudier4, Cédric Tétard1, Didier Fussen1, Emmanuel Dekemper1, Erkki Kyrölä2, Marko Laine2, Johanna Tamminen2, and Claus Zehner5 1Belgisch Instituut voor Ruimte-Aëronomie/Institut d’Aéronomie Spatiale de Belgique, Brussels, Belgium
2Finnish Meteorological Institute, Helsinki, Finland
3ACRI-ST, Sophia-Antipolis, France
4Laboratoire Atmosphères, Milieux, Observations Spatiales, Guyancourt, France
5ESA-ESRIN, Frascati, Italy
Abstract. The GOMOS instrument on EnviSat has succesfully demonstrated that a UV/Vis/NIR spaceborne stellar occultation instrument is capable of delivering quality data on the gaseous and particulate composition of Earth's atmosphere. Still, some problems related to data inversion remained to be treated. In the past, it was found that the aerosol extinction profile retrievals in the upper troposphere and stratosphere are of good quality at a reference wavelength of 500 nm, but suffer from anomalous, retrieval-related perturbations at other wavelengths. Identification of algorithmic problems and subsequent improvement was therefore necessary. This work has been carried out; the resulting AerGOM Level 2 retrieval algorithm together with the first data version AerGOMv1.0 forms the subject of this paper. First, a brief overview of the operational IPFv6.01 GOMOS algorithm is given, since the AerGOM algorithm is to a certain extent similar. Then, the discussion on the AerGOM algorithm specifically focuses on the new aspects that were implemented to tackle the aerosol retrieval problems. Finally, a first assess- ment of the obtained aerosol extinction data quality is presented, clearly showing significant improvement of aerosol profile shape, spectral behaviour and similarity to SAGE II data.

Citation: Vanhellemont, F., Mateshvili, N., Blanot, L., Robert, C. E., Bingen, C., Sofieva, V., Dalaudier, F., Tétard, C., Fussen, D., Dekemper, E., Kyrölä, E., Laine, M., Tamminen, J., and Zehner, C.: AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations. Part 1: Algorithm development, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2016-28, in review, 2016.
Filip Vanhellemont et al.
Filip Vanhellemont et al.
Filip Vanhellemont et al.

Viewed

Total article views: 288 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
208 70 10 288 11 10

Views and downloads (calculated since 05 Feb 2016)

Cumulative views and downloads (calculated since 05 Feb 2016)

Saved

Discussed

Latest update: 27 Aug 2016
Publications Copernicus
Short summary
The GOMOS instrument on Envisat has delivered a valuable aerosol extinction data set for the earth 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...
Share