Retrievals from GOMOS stellar occultation measurements using characterization of modeling errors

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Authors
Sofieva, V.F.
Vira, J.
Kyrölä, E.
Tamminen, J.
Kan, V.
Dalaudier, F.
Hauchecorne, A.
Bertaux, J.-L.
Fussen, D.
Vanhellemont, F.
Barrot, G.
Fanton D'Andon, O.
Discipline
Earth and related Environmental sciences
Subject
algorithm
atmospheric modeling
data assimilation
data set
environmental monitoring
Envisat-1
error analysis
instrumentation
ozone
stratosphere
uncertainty analysis
wavelength
Audience
Scientific
Date
2010Metadata
Show full item recordDescription
In this paper, we discuss the development of the inversion algorithm for the GOMOS (Global Ozone Monitoring by Occultation of Star) instrument on board the Envisat satellite. The proposed algorithm takes accurately into account the wavelength-dependent modeling errors, which are mainly due to the incomplete scintillation correction in the stratosphere. The special attention is paid to numerical efficiency of the algorithm. The developed method is tested on a large data set and its advantages are demonstrated. Its main advantage is a proper characterization of the uncertainties of the retrieved profiles of atmospheric constituents, which is of high importance for data assimilation, trend analyses and validation.
Citation
Sofieva, V.F.; Vira, J.; Kyrölä, E.; Tamminen, J.; Kan, V.; Dalaudier, F.; Hauchecorne, A.; Bertaux, J.-L.; Fussen, D.; Vanhellemont, F.; Barrot, G.; Fanton D'Andon, O. (2010). Retrievals from GOMOS stellar occultation measurements using characterization of modeling errors. , Atmospheric Measurement Techniques, Vol. 3, Issue 4, 1019-1027, DOI: 10.5194/amt-3-1019-2010.Identifiers
scopus: 2-s2.0-77957953895
Type
Article
Peer-Review
Yes
Language
eng