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Volume 13, issue 3
Atmos. Chem. Phys., 13, 1093-1114, 2013
https://doi.org/10.5194/acp-13-1093-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 13, 1093-1114, 2013
https://doi.org/10.5194/acp-13-1093-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Feb 2013

Research article | 01 Feb 2013

Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection

D. A. Belikov1,2, S. Maksyutov1, M. Krol3,4,5, A. Fraser6, M. Rigby7, H. Bian8, A. Agusti-Panareda9, D. Bergmann10, P. Bousquet11, P. Cameron-Smith10, M. P. Chipperfield12, A. Fortems-Cheiney11, E. Gloor12, K. Haynes13,14, P. Hess15, S. Houweling3,4, S. R. Kawa8, R. M. Law14, Z. Loh14, L. Meng16, P. I. Palmer6, P. K. Patra17, R. G. Prinn18, R. Saito17, and C. Wilson12 D. A. Belikov et al.
  • 1Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
  • 2Division for Polar Research, National Institute of Polar Research, 10-3, Midoricho, Tachikawa, Tokyo 190-8518, Japan
  • 3SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, The Netherlands
  • 4Institute for Marine and Atmospheric Research Utrecht (IMAU), Princetonplein 5, 3584 CC Utrecht, The Netherlands
  • 5Wageningen University and Research Centre, Droevendaalsesteeg 4, 6708 PB Wageningen, The Netherlands
  • 6School of GeoSciences, University of Edinburgh, King's Buildings, West Mains Road, Edinburgh, EH9 3JN, UK
  • 7School of Chemistry University of Bristol Bristol, UK
  • 8Goddard Earth Sciences and Technology Center, NASA Goddard Space Flight Center, Code 613.3, Greenbelt, MD 20771, USA
  • 9ECMWF, Shinfield Park, Reading, Berks, RG2 9AX, UK
  • 10Atmospheric, Earth, and Energy Division, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA94550, USA
  • 11Universite de Versailles Saint Quentin en Yvelines (UVSQ), GIF sur YVETTE, France
  • 12Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
  • 13Department of Atmospheric Science, Colorado State University, Fort Collins, CO, 80523, USA
  • 14Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, 107-121 Station St., Aspendale, VIC 3195, Australia
  • 15Cornell University, 2140 Snee Hall, Ithaca, NY 14850, USA
  • 16Department of Geography and Environmental Studies Program, Western Michigan University, Kalamazoo, MI 49008, USA
  • 17Research Institute for Global Change/JAMSTEC, 3173-25 Showa-machi, Yokohama, 236-0001, Japan
  • 18Center for Global Change Science, Building 54, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA

Abstract. A modified cumulus convection parametrisation scheme is presented. This scheme computes the mass of air transported upward in a cumulus cell using conservation of moisture and a detailed distribution of convective precipitation provided by a reanalysis dataset. The representation of vertical transport within the scheme includes entrainment and detrainment processes in convective updrafts and downdrafts. Output from the proposed parametrisation scheme is employed in the National Institute for Environmental Studies (NIES) global chemical transport model driven by JRA-25/JCDAS reanalysis. The simulated convective precipitation rate and mass fluxes are compared with observations and reanalysis data. A simulation of the short-lived tracer 222Rn is used to further evaluate the performance of the cumulus convection scheme. Simulated distributions of 222Rn are evaluated against observations at the surface and in the free troposphere, and compared with output from models that participated in the TransCom-CH4 Transport Model Intercomparison. From this comparison, we demonstrate that the proposed convective scheme in general is consistent with observed and modeled results.

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