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.
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.
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 2: Intercomparisons
Charles Étienne Robert
CORRESPONDING AUTHOR
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Christine Bingen
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Filip Vanhellemont
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Nina Mateshvili
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Emmanuel Dekemper
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Cédric Tétard
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Didier Fussen
Institut d'Aéronomie Spatiale de Belgique, Brussels, Belgium
Adam Bourassa
Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, Canada
Claus Zehner
ESA European Space Research Institute, Frascati, Italy
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Cited
10 citations as recorded by crossref.
- AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description F. Vanhellemont et al. 10.5194/amt-9-4687-2016
- 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
- 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
- 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
- Multi-wavelength dataset of aerosol extinction profiles retrieved from GOMOS stellar occultation measurements V. Sofieva et al. 10.5194/amt-17-3085-2024
- Stratospheric aerosol characteristics from space-borne observations: extinction coefficient and Ångström exponent E. Malinina et al. 10.5194/amt-12-3485-2019
- 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
- Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci) T. Popp et al. 10.3390/rs8050421
9 citations as recorded by crossref.
- AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description F. Vanhellemont et al. 10.5194/amt-9-4687-2016
- 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
- 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
- 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
- Multi-wavelength dataset of aerosol extinction profiles retrieved from GOMOS stellar occultation measurements V. Sofieva et al. 10.5194/amt-17-3085-2024
- Stratospheric aerosol characteristics from space-borne observations: extinction coefficient and Ångström exponent E. Malinina et al. 10.5194/amt-12-3485-2019
- 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
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Latest update: 20 Nov 2024
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.
We compare stratospheric aerosol loading computed with a new computer algorithm with various...
