Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection
Name
Belikov-2013-Off-line algorithm f.pdf
Size
8.08 MB
Format
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Checksum (MD5)
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Author(s)
Belikov, Dmitry
Maksyutov, Shamil
Krol, Maarten
Fraser, A.
Rigby, M.
Bian, H.
Agusti-Panareda, Anna
Bergmann, D.
Bousquet, P.
Cameron-Smith, P.
Date Issued
February 2013
Journal
Atmospheric Chemistry and Physics
Publisher
Copernicus GmbH
Citation
Belikov, D. A. et al. “Off-line Algorithm for Calculation of Vertical Tracer Transport in the Troposphere Due to Deep Convection.” Atmospheric Chemistry and Physics 13.3 (2013): 1093–1114.
Version
Final published version
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 [superscript 222]Rn is used to further evaluate the performance of the cumulus convection scheme. Simulated distributions of [superscript 222]Rn 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.
MIT Department
Massachusetts Institute of Technology. Center for Global Change Science
Massachusetts Institute of Technology. Center for Global Change Science
Terms of Use
Creative Commons Attribution 3.0
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DOI of Published Version
https://doi.org/10.5194/acp-13-1093-2013
