AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description
The GOMOS instrument on Envisat has successfully 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 examine...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-09-01
|
| Series: | Atmospheric Measurement Techniques |
| Online Access: | http://www.atmos-meas-tech.net/9/4687/2016/amt-9-4687-2016.pdf |
| _version_ | 1811237806237810688 |
|---|---|
| author | F. Vanhellemont N. Mateshvili L. Blanot C. É. Robert C. Bingen V. Sofieva F. Dalaudier C. Tétard D. Fussen E. Dekemper E. Kyrölä M. Laine J. Tamminen C. Zehner |
| author_facet | F. Vanhellemont N. Mateshvili L. Blanot C. É. Robert C. Bingen V. Sofieva F. Dalaudier C. Tétard D. Fussen E. Dekemper E. Kyrölä M. Laine J. Tamminen C. Zehner |
| author_sort | F. Vanhellemont |
| collection | DOAJ |
| description | The GOMOS instrument on Envisat has successfully 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
examined. 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. The AerGOM
algorithm differs from the standard GOMOS IPF processor in a number of
important ways: more accurate physical laws have been implemented, all
retrieval-related covariances are taken into account, and the aerosol
extinction spectral model is strongly improved. Retrieval examples
demonstrate that the previously observed profile perturbations have
disappeared, and the obtained extinction spectra look in general more
consistent. We present a detailed validation study in a companion paper;
here, to give a first idea of the data quality, a worst-case comparison at
386 nm shows SAGE II–AerGOM correlation coefficients that are up to 1
order of magnitude larger than the ones obtained with the GOMOS IPFv6.01 data
set. |
| first_indexed | 2024-04-12T12:30:48Z |
| format | Article |
| id | doaj.art-3cf5b958d0304d1eb0eed9fa6e228962 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-04-12T12:30:48Z |
| publishDate | 2016-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-3cf5b958d0304d1eb0eed9fa6e2289622022-12-22T03:33:02ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482016-09-01994687470010.5194/amt-9-4687-2016AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm descriptionF. Vanhellemont0N. Mateshvili1L. Blanot2C. É. Robert3C. Bingen4V. Sofieva5F. Dalaudier6C. Tétard7D. Fussen8E. Dekemper9E. Kyrölä10M. Laine11J. Tamminen12C. Zehner13Belgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumBelgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumACRI-ST, Sophia Antipolis, FranceBelgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumBelgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumFinnish Meteorological Institute, Helsinki, FinlandLaboratoire Atmosphères, Milieux, Observations Spatiales, Guyancourt, FranceBelgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumBelgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumBelgisch Instituut voor Ruimte-Aëronomie/Institut d'Aéronomie Spatiale de Belgique, Brussels, BelgiumFinnish Meteorological Institute, Helsinki, FinlandFinnish Meteorological Institute, Helsinki, FinlandFinnish Meteorological Institute, Helsinki, FinlandESA-ESRIN, Frascati, ItalyThe GOMOS instrument on Envisat has successfully 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 examined. 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. The AerGOM algorithm differs from the standard GOMOS IPF processor in a number of important ways: more accurate physical laws have been implemented, all retrieval-related covariances are taken into account, and the aerosol extinction spectral model is strongly improved. Retrieval examples demonstrate that the previously observed profile perturbations have disappeared, and the obtained extinction spectra look in general more consistent. We present a detailed validation study in a companion paper; here, to give a first idea of the data quality, a worst-case comparison at 386 nm shows SAGE II–AerGOM correlation coefficients that are up to 1 order of magnitude larger than the ones obtained with the GOMOS IPFv6.01 data set.http://www.atmos-meas-tech.net/9/4687/2016/amt-9-4687-2016.pdf |
| spellingShingle | F. Vanhellemont N. Mateshvili L. Blanot C. É. Robert C. Bingen V. Sofieva F. Dalaudier C. Tétard D. Fussen E. Dekemper E. Kyrölä M. Laine J. Tamminen C. Zehner AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description Atmospheric Measurement Techniques |
| title | AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description |
| title_full | AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description |
| title_fullStr | AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description |
| title_full_unstemmed | AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description |
| title_short | AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description |
| title_sort | aergom an improved algorithm for stratospheric aerosol extinction retrieval from gomos observations part 1 algorithm description |
| url | http://www.atmos-meas-tech.net/9/4687/2016/amt-9-4687-2016.pdf |
| work_keys_str_mv | AT fvanhellemont aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT nmateshvili aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT lblanot aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT cerobert aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT cbingen aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT vsofieva aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT fdalaudier aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT ctetard aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT dfussen aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT edekemper aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT ekyrola aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT mlaine aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT jtamminen aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription AT czehner aergomanimprovedalgorithmforstratosphericaerosolextinctionretrievalfromgomosobservationspart1algorithmdescription |