Atmos. Chem. Phys. Discuss., 7, 8035-8085, 2007
www.atmos-chem-phys-discuss.net/7/8035/2007/
doi:10.5194/acpd-7-8035-2007
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This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Cloud-scale model intercomparison of chemical constituent transport in deep convection
M. C. Barth1, S.-W. Kim1,*, C. Wang2, K. E. Pickering3,**, L. E. Ott3,**, G. Stenchikov4, M. Leriche5,***, S. Cautenet5, J.-P. Pinty6, Ch. Barthe6, C. Mari6, J. Helsdon7, R. Farley7, A. M. Fridlind8,****, A. S. Ackerman8,****, V. Spiridonov9, and B. Telenta10
1National Center for Atmospheric Research, Boulder, Colorado, USA
2Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
3University of Maryland, College Park, Maryland, USA
4Rutgers University, New Brunswick, New Jersey, USA
5CNRS/University Blaise-Pascal, Clermont-Ferrand, France
6CNRS/Paul Sabatier University, Toulouse, France
7South Dakota School of Mines and Technology, Rapid City, South Dakota, USA
8NASA-Ames Research Center, Moffett Field, California, USA
9Hydrometeorological Institute, Skopje, Macedonia
10SENES Consultant Ltd., Toronto, Canada
*now at: ESRL/CSD and CIRES, University of Colorado, Boulder, Colorado, USA
**now at: NASA-Goddard Space Flight Center, Greenbelt, Maryland, USA
***now at: CNRS/Paul Sabatier University, Toulouse, France
****now at: NASA-GISS, New York City, New York, USA

Abstract. 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 NOx reasonably predict NOx mixing ratios in the anvil compared with observations, but the NOx variability is much larger than that seen for CO and O3. Predicted anvil mixing ratios of the soluble species, HNO3, H2O2, and CH2O, exhibit significant differences among models, attributed to different schemes in these models of cloud processing including the role of the ice phase, the impact of cloud-modified photolysis rates on the chemistry, and the representation of the species chemical reactivity. The lack of measurements of these species in the convective outflow region does not allow us to evaluate the model results with observations.

Citation: Barth, M. C., Kim, S.-W., Wang, C., Pickering, K. E., Ott, L. E., Stenchikov, G., Leriche, M., Cautenet, S., Pinty, J.-P., Barthe, Ch., Mari, C., Helsdon, J., Farley, R., Fridlind, A. M., Ackerman, A. S., Spiridonov, V., and Telenta, B.: Cloud-scale model intercomparison of chemical constituent transport in deep convection, Atmos. Chem. Phys. Discuss., 7, 8035-8085, doi:10.5194/acpd-7-8035-2007, 2007.
 
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