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    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.
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    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
    2010
    Metadata
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    Description
    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
    uri: https://orfeo.belnet.be/handle/internal/3228
    doi: http://dx.doi.org/10.5194/amt-3-1019-2010
    scopus: 2-s2.0-77957953895
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
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