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

D.A. Belikov, S. Maksyutov, M.C. Krol, A. Fraser, M. Rigby, H. Bian, A. Agusti-Panareda, D. Bergmann, 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. MengP.I. Palmer, P.K. Patra, R.G. Prinn, R. Saito, C. Wilson

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16 Citations (Scopus)

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 Rn-222 is used to further evaluate the performance of the cumulus convection scheme. Simulated distributions of Rn-222 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.
Original languageEnglish
Pages (from-to)1093-1114
JournalAtmospheric Chemistry and Physics
Volume13
Issue number3
DOIs
Publication statusPublished - 2013

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Keywords

  • general-circulation model
  • observed radon profiles
  • cumulus convection
  • atmospheric transport
  • climate simulations
  • meteorological data
  • cloud ensemble
  • precipitation
  • rn-222
  • parameterization

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