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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 3
Atmos. Chem. Phys., 10, 855-876, 2010
https://doi.org/10.5194/acp-10-855-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 10, 855-876, 2010
https://doi.org/10.5194/acp-10-855-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

  01 Feb 2010

01 Feb 2010

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 M. Kopacz et al.
  • 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
  • 8Universit de Toulouse, UPS, LA (Laboratoire d'Arologie), 14 avenue Edouard Belin, 31400, Toulouse, France
  • 9CNRS, LA (Laboratoire d'A'erologie), 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. Using GEOS-Chem as a common intercomparison platform shows global consistency between the different satellite datasets and with the in situ data. Differences can be largely 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. This is much higher than current bottom-up emission inventories. A large fraction of the correction results from a seasonal underestimate of CO sources at northern mid-latitudes in winter and suggests a larger-than-expected CO source from vehicle cold starts and residential heating. Implementing this seasonal variation of emissions solves the long-standing problem of models underestimating CO in the northern extratropics in winter-spring. A posteriori emissions also indicate a general underestimation of biomass burning in the GFED2 inventory. However, the tropical biomass burning constraints are not quantitatively consistent across the different datasets.

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