Atmospheric Chemistry and Physics www.atmos-chem-phys.net 1680-7316 1680-7324 6 12 2006 10.5194/acp-6-4321-2006 http://www.atmos-chem-phys.net/6/4321/2006/ http://www.atmos-chem-phys.net/6/4321/2006/acp-6-4321-2006.html http://www.atmos-chem-phys.net/6/4321/2006/acp-6-4321-2006.pdf 4321 4344 2006-09-26 Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom F. Dentener S. Kinne stefan.kinne@zmaw.de T. Bond O. Boucher J. Cofala S. Generoso P. Ginoux S. Gong J. J. Hoelzemann A. Ito L. Marelli J. E. Penner J.-P. Putaud C. Textor M. Schulz G. R. van der Werf J. Wilson European Commission, Institute for Environment and Sustainability, Ispra, Italy MPI Hamburg, Germany Univ. of Illinois-Champagne, USA Met Office, Exeter, UK IIASA Laxenburg, Austria EPFL-ENAC, Lausanne, Switzerland NOAA-GFDL Princeton, USA ARQM Met Service Toronto, Canada Univ. of Michigan Ann Arbor, USA LSCE Saclay, France Vrije Universiteit Amsterdam, The Netherlands Inventories for global aerosol and aerosol precursor emissions have been collected (based on published inventories and published simulations), assessed and prepared for the year 2000 (present-day conditions) and for the year 1750 (pre-industrial conditions). These global datasets establish a comprehensive source for emission input to global modeling, when simulating the aerosol impact on climate with state-of-the-art aerosol component modules. As these modules stratify aerosol into dust, sea-salt, sulfate, organic matter and soot, for all these aerosol types global fields on emission strength and recommendations for injection altitude and particulate size are provided. Temporal resolution varies between daily (dust and sea-salt), monthly (wild-land fires) and annual (all other emissions). These datasets benchmark aerosol emissions according to the knowledge in the year 2004. They are intended to serve as systematic constraints in sensitivity studies of the AeroCom initiative, which seeks to quantify (actual) uncertainties in aerosol global modeling. Allen, A. and Miguel, A.: Biomass burning in the Amazon: Characterisation of ionic component of the aerosols generated from flaming and smouldering rainforest and savannah, Environ. Sci. Tech., 29, 486–493, 1995. 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