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

Joint Program Reprint • Journal Article
Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection
Belikov, D.A., S. Maksyutov, M. Krol, A. Fraser, M. Rigby, H. Bian, A. Agusti-Panareda, D. Bergman, P. Bousquet, P. Cameron-Smith, M.P. Chipperfield, A. Fortems-Cheiney, E. Gloor, K. Haynes, P. Hess, S. Houweling, S.R. Kawa, R.M. Law, Z. Loh, L. Meng, P.I. Palmer, P.K. Patra, R.G. Prinn, R. Saito and C. Wilson (2013)
Atmospheric Chemistry and Physics, 13: 1093–1114

Reprint 2013-18 [Download]

Abstract/Summary:

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.

2013 the authors

Citation:

Belikov, D.A., S. Maksyutov, M. Krol, A. Fraser, M. Rigby, H. Bian, A. Agusti-Panareda, D. Bergman, P. Bousquet, P. Cameron-Smith, M.P. Chipperfield, A. Fortems-Cheiney, E. Gloor, K. Haynes, P. Hess, S. Houweling, S.R. Kawa, R.M. Law, Z. Loh, L. Meng, P.I. Palmer, P.K. Patra, R.G. Prinn, R. Saito and C. Wilson (2013): Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection. Atmospheric Chemistry and Physics, 13: 1093–1114 (http://dx.doi.org/10.5194/acp-13-1093-2013)
  • Joint Program Reprint
  • Journal Article
Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection

Belikov, D.A., S. Maksyutov, M. Krol, A. Fraser, M. Rigby, H. Bian, A. Agusti-Panareda, D. Bergman, P. Bousquet, P. Cameron-Smith, M.P. Chipperfield, A. Fortems-Cheiney, E. Gloor, K. Haynes, P. Hess, S. Houweling, S.R. Kawa, R.M. Law, Z. Loh, L. Meng, P.I. Palmer, P.K. Patra, R.G. Prinn, R. Saito and C. Wilson

Atmospheric Chemistry and Physics
2013-18
13: 1093–1114

Abstract/Summary: 

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.

2013 the authors

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