ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-9-9417-2009 The influence of the vertical distribution of emissions on tropospheric chemistry Pozzer A. 1 2 Jöckel P. 2 4 Van Aardenne J. 3 The Cyprus Institute, Energy, Environment and Water Research Centre, Nicosia, Cyprus Max-Planck Institute of Chemistry, Air Chemistry Department, Mainz, Germany European Commission, DG Joint Research Centre, Ispra, Italy now at: Deutsches Zentrum fuer Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany 15 12 2009 9 24 9417 9432 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/9/9417/2009/acp-9-9417-2009.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/9/9417/2009/acp-9-9417-2009.pdf

The atmospheric chemistry general circulation model EMAC (ECHAM5/MESSy atmospheric chemistry) is used to investigate the effect of height dependent emissions on tropospheric chemistry. In a sensitivity simulation, anthropogenic and biomass burning emissions are released in the lowest model layer. The resulting tracer distributions are compared to those of a former simulation applying height dependent emissions. Although the differences between the two simulations in the free troposphere are small (less than 5%), large differences are present in polluted regions at the surface, in particular for NO<sub>x</sub> (more than 100%), CO (up to 30%) and non-methane hydrocarbons (up to 30%), whereas for OH the differences at the same locations are somewhat lower (15%). Global ozone formation is virtually unaffected by the choice of the vertical distribution of emissions. Nevertheless, local ozone changes can be up to 30%. Model results of both simulations are further compared to observations from field campaigns and to data from measurement stations.

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