Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.509 IF 5.509
  • IF 5-year value: 5.689 IF 5-year 5.689
  • CiteScore value: 5.44 CiteScore 5.44
  • SNIP value: 1.519 SNIP 1.519
  • SJR value: 3.032 SJR 3.032
  • IPP value: 5.37 IPP 5.37
  • h5-index value: 86 h5-index 86
  • Scimago H index value: 161 Scimago H index 161
Volume 7, issue 18
Atmos. Chem. Phys., 7, 4709-4731, 2007
https://doi.org/10.5194/acp-7-4709-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Atmos. Chem. Phys., 7, 4709-4731, 2007
https://doi.org/10.5194/acp-7-4709-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  18 Sep 2007

18 Sep 2007

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. H. Helsdon7, R. D. Farley7, A. M. Fridlind8,****, A. S. Ackerman8,****, V. Spiridonov9, and B. Telenta10 M. C. Barth et al.
  • 1National Center for Atmospheric Research, Boulder, CO, USA
  • 2Massachusetts Institute of Technology, Cambridge, MA, USA
  • 3University of Maryland, College Park, MD, USA
  • 4Rutgers University, New Brunswick, NJ, USA
  • 5CNRS/University Blaise-Pascal, Clermont-Ferrand, France
  • 6CNRS/Paul Sabatier University, Toulouse, France
  • 7South Dakota School of Mines and Technology, Rapid City, SD, USA
  • 8NASA-Ames Research Center, Moffett Field, CA, USA
  • 9Hydrometeorological Institute, Skopje, Macedonia
  • 10SENES 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

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.

Publications Copernicus
Download
Citation
Share