HR: 10:20h
AN: A12B-01    [Abstracts]
TI: Estimates of Black Carbon Emissions from Open Biomass Burning
AU: * Penner, J E
EM: penner@umich.edu
AF: University of Michigan Atmospheric, Oceanic & Space Sciences, 2455 Hayward, Ann Arbor, MI 48109 United States
AU: Zhang, S
EM: szhang@giss.nasa.gov
AF: Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025 United States
AU: Ito, A
EM: akinorii@umich.edu
AF: University of Michigan Atmospheric, Oceanic & Space Sciences, 2455 Hayward, Ann Arbor, MI 48109 United States
AB: Emissions from biomass burning may have significant climate effects through their direct and indirect climate forcing. We have used the TOMs AI product together with an inverse model to estimate black carbon emissions from open biomass burning for the year 2000. We used the University of Michigan version of the LLNL IMPACT global transport model together with the GSFC Data Assimilation Office meteorological fields for the year 2000, the assumed aerosol size distributions and the satellite viewing angle to estimate the modeled AI and then we minimized the cost function between measured and modeled AI to estimate emissions from 9 different regions. A priori emissions based on both Ito and Penner [2004] and Arellano et al. [2004] were used. Emissions estimates from Africa are well constrained by the inversion method, but those from S. America, Indonesia, S. Asia, Australia, temperate boreal forests, and the rest of the world depend significantly on the a priori emissions as well as the error estimates that are used in the analysis. Our best-fit a posteriori emissions are 4.72 Tg/year, almost a factor of 3 larger than the bottom up estimates of Ito and Penner [2004]. The importance of these large estimates for climate forcing is discussed. Arellano, A. F., Jr., P. S. Kasibhatla, L. Giglio, G. R. van der Werf, and J. T. Randerson (2004), Top-down estimates of global CO sources using MOPITT measurements, Geophys. Res. Lett., 31, L01104, doi:10.1029/2003GL018609. Ito, A., and J. E. Penner (2004), Global estimates of biomass burning emissions based on satellite imagery for the year 2000, J. Geophys. Res, 109, D14S05, doi:10.1029/2003JD004423.
DE: 1610 Atmosphere (0315, 0325)
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0305 Aerosols and particles (0345, 4801)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting