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    GOMOS data characterisation and error estimation

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    Authors
    Tamminen, J.
    Kyrölä, E.
    Sofieva, V.F.
    Laine, M.
    Bertaux, J.-L.
    Hauchecorne, A.
    Dalaudier, F.
    Fussen, D.
    Vanhellemont, F.
    Fanton-D'Andon, O.
    Barrot, G.
    Mangin, A.
    Guirlet, M.
    Blanot, L.
    Fehr, T.
    De Miguel, L.S.
    Fraisse, R.
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    Discipline
    Earth and related Environmental sciences
    Subject
    accuracy assessment
    aerosol
    atmospheric chemistry
    data inversion
    error analysis
    estimation method
    GOME
    nitrate
    nitrogen dioxide
    numerical model
    ozone
    stratosphere
    trace gas
    uncertainty analysis
    Audience
    Scientific
    Date
    2010
    Metadata
    Show full item record
    Description
    The Global Ozone Monitoring by Occultation of Stars (GOMOS) instrument uses stellar occultation technique for monitoring ozone, other trace gases and aerosols in the stratosphere and mesosphere. The self-calibrating measurement principle of GOMOS together with a relatively simple data retrieval where only minimal use of a priori data is required provides excellent possibilities for long-term monitoring of atmospheric composition. GOMOS uses about 180 of the brightest stars as its light source. Depending on the individual spectral characteristics of the stars, the signal-to-noise ratio of GOMOS varies from star to star, resulting also in varying accuracy of retrieved profiles. We present here an overview of the GOMOS data characterisation and error estimation, including modeling errors, for O3, NO2, NO3, and aerosol profiles. The retrieval error (precision) of night-time measurements in the stratosphere is typically 0.5-4% for ozone, about 10-20% for NO2, 20-40% for NO3 and 2-50% for aerosols. Mesospheric O3, up to 100 km, can be measured with 2-10% precision. The main sources of the modeling error are incompletely corrected scintillation, inaccurate aerosol modeling, uncertainties in cross sections of trace gases and in atmospheric temperature. The sampling resolution of GOMOS varies depending on the measurement geometry. In the data inversion a Tikhonov-type regularization with pre-defined target resolution requirement is applied leading to 2-3 km vertical resolution for ozone and 4 km resolution for other trace gases and aerosols.
    Citation
    Tamminen, J.; Kyrölä, E.; Sofieva, V.F.; Laine, M.; Bertaux, J.-L.; Hauchecorne, A.; Dalaudier, F.; Fussen, D.; Vanhellemont, F.; Fanton-D'Andon, O.; Barrot, G.; Mangin, A.; Guirlet, M.; Blanot, L.; Fehr, T.; De Miguel, L.S.; Fraisse, R. (2010). GOMOS data characterisation and error estimation. , Atmospheric Chemistry and Physics, Vol. 10, Issue 19, 9505-9519, DOI: 10.5194/acp-10-9505-2010.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/3216
    doi: http://dx.doi.org/10.5194/acp-10-9505-2010
    scopus: 2-s2.0-77957965836
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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