• Login
     
    View Item 
    •   ORFEO Home
    • Royal Belgian Institute for Space Aeronomy
    • BIRA-IASB publications
    • View Item
    •   ORFEO Home
    • Royal Belgian Institute for Space Aeronomy
    • BIRA-IASB publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    GOME level 1-to-2 data processor version 3.0: a major upgrade of the GOME/ERS-2 total ozone retrieval algorithm

    View/Open
    Spurr(2005).pdf (965.5Kb)
    Authors
    Spurr, R.
    Loyola, D.
    Thomas, W.
    Balzer, W.
    Mikusch, E.
    Aberle, B.
    Slijkhuis, S.
    Ruppert, T.
    Van Roozendael, M.
    Lambert, J.-C.
    Soebijanta, T.
    Show allShow less
    Discipline
    Earth and related Environmental sciences
    Subject
    Algorithms
    Light absorption
    Neural networks
    Optimization
    Ozone
    Spectroscopy
    Data processor
    Ozone monitoring
    Retrieval algorithm
    Optical data processing
    ozone
    air pollutant
    algorithm
    article
    artificial intelligence
    automated pattern recognition
    computer program
    environmental monitoring
    evaluation
    information retrieval
    instrumentation
    methodology
    spectroscopy
    Air Pollutants
    Algorithms
    Artificial Intelligence
    Environmental Monitoring
    Information Storage and Retrieval
    Ozone
    Pattern Recognition, Automated
    Software
    Spectrum Analysis
    Audience
    Scientific
    Date
    2005
    Metadata
    Show full item record
    Description
    The global ozone monitoring experiment (GOME) was launched in April 1995, and the GOME data processor (GDP) retrieval algorithm has processed operational total ozone amounts since July 1995. GDP level 1-to-2 is based on the two-step differential optical absorption spectroscopy (DOAS) approach, involving slant column fitting followed by air mass factor (AMF) conversions to vertical column amounts. We present a major upgrade of this algorithm to version 3.0. GDP 3.0 was implemented in July 2002, and the 9-year GOME data record from July 1995 to December 2004 has been processed using this algorithm. The key component in GDP 3.0 is an iterative approach to AMF calculation, in which AMFs and corresponding vertical column densities are adjusted to reflect the true ozone distribution as represented by the fitted DOAS effective slant column. A neural network ensemble is used to optimize the fast and accurate parametrization of AMFs. We describe results of a recent validation exercise for the operational version of the total ozone algorithm; in particular, seasonal and meridian errors are reduced by a factor of 2. On a global basis, GDP 3.0 ozone total column results lie between -2% and +4% of ground-based values for moderate solar zenith angles lower than 70°. A larger variability of about +5% and -8% is observed for higher solar zenith angles up to 90°.
    Citation
    Spurr, R.; Loyola, D.; Thomas, W.; Balzer, W.; Mikusch, E.; Aberle, B.; Slijkhuis, S.; Ruppert, T.; Van Roozendael, M.; Lambert, J.-C.; Soebijanta, T. (2005). GOME level 1-to-2 data processor version 3.0: a major upgrade of the GOME/ERS-2 total ozone retrieval algorithm. , Applied Optics, Vol. 44, Issue 33, 7196-7209, DOI: 10.1364/AO.44.007196.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/4605
    doi: http://dx.doi.org/10.1364/AO.44.007196
    scopus: 2-s2.0-29144476425
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

    Browse

    All of ORFEOCommunities & CollectionsBy Issue DateAuthorsTitlesDisciplinesThis CollectionBy Issue DateAuthorsTitlesDisciplines
     

    DSpace software copyright © 2002-2016  DuraSpace
    Send Feedback | Cookie Information
    Theme by 
    Atmire NV