Atmospheric Chemistry and Physics www.atmos-chem-phys.net 1680-7316 1680-7324 7 18 2007 10.5194/acp-7-4709-2007 http://www.atmos-chem-phys.net/7/4709/2007/ http://www.atmos-chem-phys.net/7/4709/2007/acp-7-4709-2007.html http://www.atmos-chem-phys.net/7/4709/2007/acp-7-4709-2007.pdf 4709 4731 2007-09-18 Cloud-scale model intercomparison of chemical constituent transport in deep convection M. C. Barth barthm@ucar.edu S.-W. Kim C. Wang K. E. Pickering L. E. Ott G. Stenchikov M. Leriche S. Cautenet J.-P. Pinty Ch. Barthe C. Mari J. H. Helsdon R. D. Farley A. M. Fridlind A. S. Ackerman V. Spiridonov B. Telenta National Center for Atmospheric Research, Boulder, CO, USA Massachusetts Institute of Technology, Cambridge, MA, USA University of Maryland, College Park, MD, USA Rutgers University, New Brunswick, NJ, USA CNRS/University Blaise-Pascal, Clermont-Ferrand, France CNRS/Paul Sabatier University, Toulouse, France South Dakota School of Mines and Technology, Rapid City, SD, USA NASA-Ames Research Center, Moffett Field, CA, USA Hydrometeorological Institute, Skopje, Macedonia SENES Consultant Ltd., Toronto, Canada now at: ESRL/CSD and CIRES, University of Colorado, Boulder, CO, USA now at: NASA-Goddard Space Flight Center, Greenbelt, MD, USA now at: CNRS/Paul Sabatier University, Toulouse, France now at: NASA-GISS, New York City, NY, USA Transport and scavenging of chemical constituents in deep convection is important to understanding the composition of the troposphere and therefore chemistry-climate and air quality issues. High resolution cloud chemistry models have been shown to represent convective processing of trace gases quite well. To improve the representation of sub-grid convective transport and wet deposition in large-scale models, general characteristics, such as species mass flux, from the high resolution cloud chemistry models can be used. However, it is important to understand how these models behave when simulating the same storm. The intercomparison described here examines transport of six species. CO and O₃, which are primarily transported, show good agreement among models and compare well with observations. Models that included lightning production of NO_x reasonably predict NO_x mixing ratios in the anvil compared with observations, but the NO_x variability is much larger than that seen for CO and O₃. 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