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    Grid-based versus big region approach for inverting CO emissions using Measurement of Pollution in the Troposphere (MOPITT) data

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    Authors
    Stavrakou, T.
    Müller, J.-F.
    Discipline
    Earth and related Environmental sciences
    Subject
    Atmospheric chemistry
    Biomass
    Carbon monoxide
    Geographical regions
    Mathematical models
    Optimization
    Oxidation
    Particulate emissions
    Satellite observatories
    Troposphere
    Volatile organic compounds
    airborne survey
    atmospheric chemistry
    biogenic emission
    biomass burning
    carbon monoxide
    NOAA satellite
    satellite mission
    savanna
    troposphere
    volatile organic compound
    Africa
    Asia
    Eurasia
    Far East
    South Asia
    Audience
    Scientific
    Date
    2006
    Metadata
    Show full item record
    Description
    The CO columns retrieved by the Measurement of Pollution in the Troposphere (MOPITT) satellite instrument between May 2000 and April 2001 are used together with the Intermediate Model for the Annual and Global Evolution of Species (IMAGES) global chemistry transport model and its adjoint to provide top-down estimates for anthropogenic, biomass burning, and biogenic CO emissions on the global scale, as well as for the biogenic volatile organic compounds (VOC) fluxes, whose oxidation constitutes a major indirect CO source. For this purpose, the big region and grid-based Bayesian inversion methods are presented and compared. In the former setup, the monthly emissions over large geographical regions are quantified. In the grid-based setup, the fluxes are optimized at the spatial resolution of the model and on a monthly basis. Source-specific spatiotemporal correlations among errors on the prior emissions are introduced in order to better constrain the inversion problem. Both inversion techniques bring the model columns much closer to the measurements at all latitudes, but the grid-based analysis achieves a higher reduction of the overall model/data bias. Further comparisons with observed mixing ratios at NOAA Climate Monitoring and Diagnostics Laboratory and Global Atmosphere Watch sites, as well as with airborne measurements are also presented. The inferred emission estimates are weakly dependent on the prior errors and correlations. Our best estimate for the global CO source amounts to 2900 Tg CO/yr in both inversion approaches, about 5% higher than the prior. The global anthropogenic emission estimate is 18% larger than the prior, with the biggest increase for east Asia and a substantial decrease in south Asia. The vegetation fire emission estimates decrease as well, from the prior 467 Tg CO/yr to 450 Tg CO/yr in the grid-based solution and 434 Tg CO/yr in the monthly big region setup, mainly due to a significant reduction of African savanna fire emissions. The biogenic CO/VOC flux estimates are found to be enhanced by about 15% on the global scale. The most significant error reductions concern the biogenic emissions in the tropics, the Asian anthropogenic emissions, and the vegetation fire source over Africa. Our inversion results are further compared with previously reported emission estimates.
    Citation
    Stavrakou, T.; Müller, J.-F. (2006). Grid-based versus big region approach for inverting CO emissions using Measurement of Pollution in the Troposphere (MOPITT) data. , Journal of Geophysical Research Atmospheres, Vol. 111, Issue 15, D15304, DOI: 10.1029/2005JD006896.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/4500
    doi: http://dx.doi.org/10.1029/2005JD006896
    scopus: 2-s2.0-33845931844
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
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