Electronic Data Submission for Paper 2003GL018609 Top-down estimates of global CO sources using MOPITT measurements Avelino F. Arellano, Jr. and Prasad S. Kasibhatla Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC 27708, USA Louis Giglio SSAI, NASA-GSFC, Greenbelt, MD 27701, USA Guido R. van der Werf USDA-FAS, NASA-GSFC, Greenbelt, MD 27701, USA James T. Randerson Divisions of Geological and Planetary Sciences and Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA Geophys. Res. Lett., vol. 31, doi:10.1029/2003GL018609, 2004. Introduction The table (table 1) provides the numbers for Figure 2 of the journal article and relevant estimates for Asia from recent studies mentioned in the article (section 3 Results and Discussion). This includes a priori (2nd column) and posteriori estimates (3rd-5th column) in Tg CO for 14 source categories (1st column) calculated in the inverse analysis, with the posteriori estimates of the 12 cases summarized for three MOPITT dataset that were used in the analysis. The range describes the maximum and minimum for the 4 error covariances (Sm) specified in the inversion while the uncertainty is represented by 2-sigma root mean square error for the 4 error cases. This table also includes other estimates for Asia (6th-9th columns), calculated total for Fossil Fuel and Biofuel Asian estimates, global methane and total sources reported in this work. 2003GL018609-table.txt 1 column = source category 2 column = a priori estimates used in the inversion (Tg CO/yr) fossil fuel/biofuel from EDGAR, biomass burning from Van der Werf et al [2003] 3 column = posteriori estimates using MOPITT column dataset (Tg CO/yr) given as minimum and maximum for 4 error case scenarios and uncertainty as root mean square for 4 error case scenarios 4 column = posteriori estimates using MOPITT 500 mb dataset (Tg CO/yr) given as minimum and maximum for 4 error case scenarios and uncertainty as root mean square for 4 error case scenarios 5 column = posteriori estimates using MOPITT 700 mb dataset (Tg CO/yr) given as minimum and maximum for 4 error case scenarios and uncertainty as root mean square for 4 error case scenarios 6 column = Streets et al [2003] Asian estimates (Tg CO for 2000) 7 column = Palmer et al [2003] estimates for East Asia (which includes China, Korea & Japan estimates they reported (Tg CO/yr) 8 column = Carmichael et al. [2003] estimates for Asia (Tg CO for 2000) 9 column = Estimates from Kasibhatla et al [2002] and Petron et al [2002] estimates using NOAA CMDL CO (Tg CO/yr) REFERENCE: Carmichael, G.R., et al., Evaluating regional emission estimates using the TRACE-P observations, J. Geophys. Res., in press, 2003. Kasibhatla, P., A. Arellano, J. Logan, P. Palmer, and P. Novelli, Top-down estimate of a large source of atmospheric carbon monoxide associated with fuel combustion in Asia, Geophys. Res. Lett., 29(19), 1900, doi:10.1029/2002GL015581, 2002. Olivier, J.G.J., et al., Description of EDGAR Version 2.0: A set of global emission inventories of greenhouse gases and ozone depleting substances for all anthropogenic and most natural sources on a per country basis and on 1º x 1º grid, Report 771060002, National Institute of Public Health and the Environment (RIVM), The Netherlands, 1996. Palmer, P. I., et al., Inverting for emissions of carbon monoxide from Asia using aircraft observations over the western Pacific, J. Geophys. Res., in press, 2003. Pétron, G., C. Grainer, B. Khattatov, J.F. Lamarque, V. Yudin, J.F.Müller, and J. Gille, Inverse modeling of carbon monoxide surface emissions using CMDL network observations, J. Geophys. Res., 107(D24), 4761, doi:10.1029/2001JD001305, 2002. Van der Werf, G.R., J.T. Randerson, G.J. Collatz, and L. Giglio, Carbon emissions from fires in tropical and subtropical ecosystems, Global Change Bio., 9, 547-562, 2003.