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    Original Research Papers

    Time-dependent atmospheric CO2 inversions based on interannually varying tracer transport

    Authors:

    C. Rödenbeck ,

    Max Planck Institute for Biogeochemistry, P.O. Box 10 01 64, D-07701 Jena, DE
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    S. Houweling,

    Max Planck Institute for Biogeochemistry, P.O. Box 10 01 64, D-07701 Jena, DE
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    M. Gloor,

    Max Planck Institute for Biogeochemistry, P.O. Box 10 01 64, D-07701 Jena, DE
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    M. Heimann

    Max Planck Institute for Biogeochemistry, P.O. Box 10 01 64, D-07701 Jena, DE
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    Abstract

    The use of inverse calculations to estimate surface CO2 fluxes from atmospheric concentration measurements has gained large attention in recent years. The success of an inversion will, among other factors, depend strongly on how realistically atmospheric tracer transport is represented by the employed transport model, as it links surface CO2 fluxes to modelled concentrations at the location of measurement stations. We present sensitivity studies demonstrating that transport modelling should be based on interannually varying meteorology, as compared to the traditional use of repeating a single year’s winds only. Moreover, we propose an improved procedure of representing the concentration sampling in the model, which allows consistency with the measurements and uses their information content more efficiently. In further sensitivity tests, we estimate the effect of different spatial transport model resolutions and different meteorological driver data sets. Finally, we assess the quality of the inversion results with the help of independent measurements and flux estimates, and preliminarily discuss some of the resulting features.

    How to Cite: Rödenbeck, C., Houweling, S., Gloor, M. and Heimann, M., 2003. Time-dependent atmospheric CO2 inversions based on interannually varying tracer transport. Tellus B: Chemical and Physical Meteorology, 55(2), pp.488–497. DOI: http://doi.org/10.3402/tellusb.v55i2.16707
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      Published on 01 Jan 2003
    Peer Reviewed
     CC BY 4.0
     Accepted on 11 Oct 2002            Submitted on 2 Jan 2002

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