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.
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
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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Cited
13 citations as recorded by crossref.
- Stratospheric aerosol characteristics from space-borne observations: extinction coefficient and Ångström exponent E. Malinina et al. 10.5194/amt-12-3485-2019
- Variability and evolution of the midlatitude stratospheric aerosol budget from 22 years of ground-based lidar and satellite observations S. Khaykin et al. 10.5194/acp-17-1829-2017
- Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling C. Bingen et al. 10.1016/j.rse.2017.06.002
- Aerosol particle size distribution in the stratosphere retrieved from SCIAMACHY limb measurements E. Malinina et al. 10.5194/amt-11-2085-2018
- A Revised Cross-Section Database for Gas Retrieval in the UV-Visible-Near IR Range, Applied to the GOMOS Retrieval Algorithm AerGOM C. Bingen et al. 10.3389/fenvs.2019.00118
- AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons C. Robert et al. 10.5194/amt-9-4701-2016
- Reconstructing volcanic radiative forcing since 1990, using a comprehensive emission inventory and spatially resolved sulfur injections from satellite data in a chemistry-climate model J. Schallock et al. 10.5194/acp-23-1169-2023
- The Ozone Mapping and Profiler Suite (OMPS) Limb Profiler (LP) Version 1 aerosol extinction retrieval algorithm: theoretical basis R. Loughman et al. 10.5194/amt-11-2633-2018
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Aerosol and cloud top height information of Envisat MIPAS measurements S. Griessbach et al. 10.5194/amt-13-1243-2020
- A global space-based stratospheric aerosol climatology: 1979–2016 L. Thomason et al. 10.5194/essd-10-469-2018
- Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data C. Brühl et al. 10.5194/acp-18-12845-2018
- Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci) T. Popp et al. 10.3390/rs8050421
12 citations as recorded by crossref.
- Stratospheric aerosol characteristics from space-borne observations: extinction coefficient and Ångström exponent E. Malinina et al. 10.5194/amt-12-3485-2019
- Variability and evolution of the midlatitude stratospheric aerosol budget from 22 years of ground-based lidar and satellite observations S. Khaykin et al. 10.5194/acp-17-1829-2017
- Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling C. Bingen et al. 10.1016/j.rse.2017.06.002
- Aerosol particle size distribution in the stratosphere retrieved from SCIAMACHY limb measurements E. Malinina et al. 10.5194/amt-11-2085-2018
- A Revised Cross-Section Database for Gas Retrieval in the UV-Visible-Near IR Range, Applied to the GOMOS Retrieval Algorithm AerGOM C. Bingen et al. 10.3389/fenvs.2019.00118
- AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons C. Robert et al. 10.5194/amt-9-4701-2016
- Reconstructing volcanic radiative forcing since 1990, using a comprehensive emission inventory and spatially resolved sulfur injections from satellite data in a chemistry-climate model J. Schallock et al. 10.5194/acp-23-1169-2023
- The Ozone Mapping and Profiler Suite (OMPS) Limb Profiler (LP) Version 1 aerosol extinction retrieval algorithm: theoretical basis R. Loughman et al. 10.5194/amt-11-2633-2018
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Aerosol and cloud top height information of Envisat MIPAS measurements S. Griessbach et al. 10.5194/amt-13-1243-2020
- A global space-based stratospheric aerosol climatology: 1979–2016 L. Thomason et al. 10.5194/essd-10-469-2018
- Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data C. Brühl et al. 10.5194/acp-18-12845-2018
Latest update: 24 Apr 2024
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...
