Atmos. Chem. Phys. Discuss., 11, 1367-1384, 2011
www.atmos-chem-phys-discuss.net/11/1367/2011/
doi:10.5194/acpd-11-1367-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Technical Note: A novel approach to estimation of time-variable surface sources and sinks of carbon dioxide using empirical orthogonal functions and the Kalman filter
R. Zhuravlev1, B. Khattatov2, B. Kiryushov1, and S. Maksyutov3
1Central Aerological Observatory, Dolgoprudny, Russia
2Fusion Numerics International, Boulder, CO, USA
3Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan

Abstract. In this work we propose an approach to solving a source estimation problem based on representation of carbon dioxide surface emissions as a linear combination of a finite number of pre-computed empirical orthogonal functions (EOFs). We used NIES transport model for computing response functions and Kalman filter for estimating carbon dioxide emissions. Our approach produces results similar to these of other models participating in the TransCom3 experiment, while being more advantageous in that it is more computationally efficient, produces smooth emission fields, and yields smaller errors than the traditional region-based approach. Additionally, the proposed approach does not require additional effort of defining independent self-contained emission regions.

Citation: Zhuravlev, R., Khattatov, B., Kiryushov, B., and Maksyutov, S.: Technical Note: A novel approach to estimation of time-variable surface sources and sinks of carbon dioxide using empirical orthogonal functions and the Kalman filter, Atmos. Chem. Phys. Discuss., 11, 1367-1384, doi:10.5194/acpd-11-1367-2011, 2011.
 
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