Atmos. Chem. Phys. Discuss., 9, 19967-20018, 2009
© Author(s) 2009. This work is distributed
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Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES)
M. Kopacz1,*, D. J. Jacob1, J. A. Fisher1, J. A. Logan1, L. Zhang1, I. A. Megretskaia1, R. M. Yantosca1, K. Singh2, D. K. Henze3, J. P. Burrows4, M. Buchwitz4, I. Khlystova4, W. W. McMillan5, J. C. Gille6, D. P. Edwards6, A. Eldering7, V. Thouret8,9, and P. Nedelec8,9
1School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA
2Department of Computer Science, Virginia Polytechnic Institute, Blacksburg, VA, USA
3Department of Mechanical Engineering, University of Colorado at Boulder, CO, USA
4Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
5Department of Physics, University of Maryland Baltimore County, Baltimore, MD, USA
6National Center for Atmospheric Research, Boulder, Colorado, USA
7Jet Propulsion Laboratory, Pasadena, CA, USA
8Universite de Toulouse, Toulouse, France
9CNRS, LA (Laboratoire d'Aérologie), 31400 Toulouse, France
*now at: Woodrow Wilson School of International and Public Affairs, Princeton University, Princeton, NJ, USA

Abstract. We combine CO column measurements from the MOPITT, AIRS, SCIAMACHY, and TES satellite instruments in a full-year (May 2004–April 2005) global inversion of CO sources at 4°×5° spatial resolution and monthly temporal resolution. The inversion uses the GEOS-Chem chemical transport model (CTM) and its adjoint applied to MOPITT, AIRS, and SCIAMACHY. Observations from TES, surface sites (NOAA/GMD), and aircraft (MOZAIC) are used for evaluation of the a posteriori solution. Global intercomparison of the different satellite datasets using GEOS-Chem as a common intercomparison platform shows consistency between the satellite datasets and with the in situ data. The majority of the differences between the datasets can be explained by different averaging kernels and a priori information. The global CO emission from combustion as constrained in the inversion is 1350 Tg a−1, with an additional 217 Tg a−1 from oxidation of co-emitted VOCs. This is much higher than current bottom-up emission inventories. Consistent with both the satellite and in situ data, a large fraction of the correction results from a seasonal underestimate of CO sources at northern mid-latitudes and suggests a larger-than-expected CO source from vehicle cold starts and residential heating. A posteriori emissions also indicate a general underestimation of biomass burning relative to the GFED2 inventory. However, the tropical biomass burning constraints are not consistent across the different datasets. Although the datasets reveal regional inconsistencies over tropical biomass burning regions, we find the global emission estimates to be a balance of information from all three instruments.

Citation: Kopacz, M., Jacob, D. J., Fisher, J. A., Logan, J. A., Zhang, L., Megretskaia, I. A., Yantosca, R. M., Singh, K., Henze, D. K., Burrows, J. P., Buchwitz, M., Khlystova, I., McMillan, W. W., Gille, J. C., Edwards, D. P., Eldering, A., Thouret, V., and Nedelec, P.: Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys. Discuss., 9, 19967-20018, doi:10.5194/acpd-9-19967-2009, 2009.
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