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| Titel |
Retrieval of atmospheric parameters from GOMOS data |
| VerfasserIn |
E. Kyrölä, J. Tamminen, V. Sofieva, J. L. Bertaux, A. Hauchecorne, F. Dalaudier, D. Fussen, F. Vanhellemont, O. Fanton d'Andon, G. Barrot, M. Guirlet, A. Mangin, L. Blanot, T. Fehr, L. Saavedra de Miguel, R. Fraisse |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 10, no. 23 ; Nr. 10, no. 23 (2010-12-14), S.11881-11903 |
| Datensatznummer |
250008959
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| Publikation (Nr.) |
 copernicus.org/acp-10-11881-2010.pdf |
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| Zusammenfassung |
The Global Ozone Monitoring by Occultation of Stars (GOMOS) instrument on
board the European Space Agency's ENVISAT satellite measures attenuation of
stellar light in occultation geometry. Daytime measurements also record
scattered solar light from the atmosphere. The wavelength regions are the
ultraviolet-visible band 248–690 nm and two infrared bands at 755–774 nm and
at 926–954 nm. From UV-Visible and IR spectra the vertical profiles of O3,
NO2, NO3, H2O, O2 and aerosols can be retrieved. In addition
there are two 1 kHz photometers at blue 473–527 nm and red 646–698 nm.
Photometer data are used to correct spectrometer measurements for
scintillations and to retrieve high resolution temperature profiles as well
as gravity wave and turbulence parameters. Measurements cover altitude region
5–150 km. Atmospherically valid data are obtained in 15–100 km.
In this paper we present an overview of the GOMOS retrieval algorithms for
stellar occultation measurements. The low signal-to-noise ratio and the
refractive effects due to the point source nature of stars have been
important drivers in the development of GOMOS retrieval algorithms. We
present first the Level 1b algorithms that are used to correct instrument
related disturbances in the spectrometer and photometer measurements The
Level 2 algorithms deal with the retrieval of vertical profiles of
atmospheric gaseous constituents, aerosols and high resolution temperature.
We divide the presentation into correction for refractive effects, high
resolution temperature retrieval and spectral/vertical inversion. The paper
also includes discussion about the GOMOS algorithm development, expected
improvements, access to GOMOS data and alternative retrieval
approaches. |
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