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    The GODFIT algorithm: A direct fitting approach to improve the accuracy of total ozone measurements from GOME

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    Lerot(2010a).pdf (1.042Mb)
    Authors
    Lerot, C.
    Van Roozendael, M.
    Lambert, J.-C.
    Granville, J.
    Van Gent, J.
    Loyola, D.
    Spurr, R.
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    Discipline
    Earth and related Environmental sciences
    Subject
    Back-scattered
    Data processors
    Discrete ordinates
    Global ozone monitoring experiments
    Ground based
    Ground based measurement
    Ozone monitoring instruments
    Radiative transfer model
    Spectral radiance
    Total ozone
    Total ozone measurements
    Algorithms
    Atmospheric composition
    Ozone
    Radiative transfer
    Ultraviolet spectrometers
    Monitoring
    algorithm
    correlation
    GOME
    ground-based measurement
    nadir
    radiative transfer
    satellite data
    satellite imagery
    total ozone
    Audience
    Scientific
    Date
    2010
    Metadata
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    Description
    We present the total ozone retrieval algorithm GODFIT (GOME Direct-FITting). Applied to nadir backscattered measurements from the Global Ozone Monitoring Experiment (GOME), it is based on a direct-fitting approach by which spectral radiances simulated using the radiative transfer model LIDORT v3.3 (Linearized Discrete Ordinate Radiative Transfer) are adjusted to measurements in the 325-335 nm interval. Total O3 columns retrieved from GOME spectra have been compared not only to columns retrieved from Ozone Monitoring Instrument (OMI) measurements using the TOMS v8.5 algorithm, but also to correlative ground-based measurements from the GAW/NDACC networks (Global Atmosphere Watch/Network for the Detection of Atmospheric Composition Change). We show that GODFIT produces a significant reduction of the GOME ground-based differences and some of the associated dependencies, compared with the GOME Data Processor (GDP) 4.1 product. Version 5 of GDP, based on the GODFIT algorithm, will be released in spring 2010.
    Citation
    Lerot, C.; Van Roozendael, M.; Lambert, J.-C.; Granville, J.; Van Gent, J.; Loyola, D.; Spurr, R. (2010). The GODFIT algorithm: A direct fitting approach to improve the accuracy of total ozone measurements from GOME. , International Journal of Remote Sensing, Vol. 31, Issue 2, 543-550, DOI: 10.1080/01431160902893576.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/3184
    doi: http://dx.doi.org/10.1080/01431160902893576
    scopus: 2-s2.0-77649165357
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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