Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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A Study on the Effect of Cumulus Parameterization and Microphysics on Ozone Simulations during Long-range Transport Process over Northeast Asia

동북아 장거리 수송 과정에서 적운 모수화 및 미세물리과정이 오존 모사농도에 미치는 영향 연구

  • Kang, Jeong-Eon (Department of Atmospheric Sciences, Pusan National University) ;
  • Kim, Cheol-Hee (Department of Atmospheric Sciences, Pusan National University)
  • 강정언 (부산대학교 대기환경과학과) ;
  • 김철희 (부산대학교 대기환경과학과)
  • Received : 2012.11.19
  • Accepted : 2013.03.08
  • Published : 2013.04.30
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Abstract

This study has been carried out to analyze the sensitivity of ozone concentrations by employing different options of cumulus parameterization schemes (CPSs) and microphysics schemes in MM5 models. These sensitivity tests were applied to long-range transport case of higher ozone over Northeast Asia. Employed CPS schemes are Betts-Miller (BM), Grell (GR), Kain-Fritsch2 (KF2), Anthes-Kuo (AK), None scheme (grid scale physics only), and four microphysics used here are Simple ice, Reisner1, Reisner2, Schultz scheme in MM5. We chose two cases of high ozone long range transport case by employing both concentrations ozone level and backward trajectory model. The results showed that modeled ozone concentrations indicated about 10% differences among CPSs. Of the all options, GR and KF2 (for CPS), and Rersiner-1 and Resiner-2 (for microphysics) showed relatively good and stable variations against ensemble mean values. For both CPS and microphysics schemes, the difference of precipitation arising from different parameterization schemes was significant by itself, but the resultant ozone variations showed only marginal. But the cloud fraction differences arising from different parameterization schemes showed better correlation with ozone variations than precipitation differences, indicating that the photochemical ozone generation variations is more dominant by cloud fraction than wet removal process for high and long-ranged transported ozone cases over Northeast Asia.

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References

  1. Anthes, R.A. (1977) A cumulus parameterization scheme utilizing a one-dimensional cloud model, Monthly Weather Review, 105, 270-286. https://doi.org/10.1175/1520-0493(1977)105<0270:ACPSUA>2.0.CO;2
  2. Arakawa, A. (2004) The Cumulus Parameterization Problem: Past, Present, and Future. Journal of Climate, 17, 2493-2525. https://doi.org/10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO;2
  3. Betts, A.K. and M.J. Miller (1986) A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX, and Arctic air-mass data sets, Quarterly Journal of the Royal Meteorological Society, 112, 693-709.
  4. Cotton, W.R. and R.A. Anthes (1990) Storm and cloud dynamics. Academic press, Inc.
  5. Dudhia, J. (1989) Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, Journal of Atmospheric Science, 46, 3077-3107. https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
  6. Dudhia, J. (2005) Chapter 8: Part II: Physics Options in MM5, NCAR.
  7. Giorgi, F. and C. Shields (1999) Tests of precipitation parameterizations available in latest version of NCAR regional climate model (RegCM) over continental United States, Journal of Geophysical Research, 104, 6353-6375. https://doi.org/10.1029/98JD01164
  8. Gochis, D.J., W.J. Shuttleworth, and Z.-L. Yang (2002) Sensitivity of the modeled North America monsoon regional climate to convective parameterization, Monthly Weather Review, 130, 1282-1298. https://doi.org/10.1175/1520-0493(2002)130<1282:SOTMNA>2.0.CO;2
  9. Grell, G.A., J. Dudhia, and D.R. Stauffer (1994) A Description of the Fifth Generation Pen State/NCAR Mesoscale Model, NCAR Technical Note, NCAR/TN-398+STR, National Center for Atmospheric Research, 122.
  10. Kain, J.S. (2004) The Kain-Fritsch Convective Parameterization: An Update, Journal of Applied Meteorology and Climatology, 43, 170-181. https://doi.org/10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
  11. Kang, H.-S. and S.-Y. Hong (2008) Sensitivity of the simulated East Asian summer monsoon climatology to four convective parameterization schemes, Journal of Geophysics Research, 113, D15119, doi:10.1029/2007JD009692.
  12. Kim, H.-R., Y.-J. Kim, and C.-H. Kim (2011) Effects of convective parameterization schemes on estimation of the annual wet deposition over Northeast Asia, Atmospheric Environment, 45, 727-735. https://doi.org/10.1016/j.atmosenv.2010.09.031
  13. Kuo, H.L. (1974) Further studies of the parameterization of the influence of cumulus convection on large-scale flow, Journal of Atmospheric Science, 31, 1232-1240. https://doi.org/10.1175/1520-0469(1974)031<1232:FSOTPO>2.0.CO;2
  14. Lee, J.-B. and D.-K. Lee (2011) Impact of Cumulus Parameterization Schemes with Different Horizontal Grid Sizes on Prediction of Heavy Rainfall, Atmosphere, 21(4), 391-404. (in Korean with English abstract)
  15. Liang, X.-Z., M. Xu, K.E. Kunkel, G.A. Grell, and J.S. Kain (2007) Regional Climate Model Simulation of U.S. -Mexico Summer Precipitation Using the Optimal Ensemble of Two Cumulus Parameterizations, Journal of Climate, 20, 5201-5207. https://doi.org/10.1175/JCLI4306.1
  16. Bhanu Kumar, O.S.R.U., S.R. Rao, and K.M. Krishna (2007) Role of cumulus parameterization schemes in simulating heavy rainfall episodes off the coast of Maharashtra state during 28 June-4 July 2007, Meteorology and Atmospheric Physics, 105(3), 167-179.
  17. Queen, A.N., Y. Zhang, R. Gilliamb, and J. Pleim (2008) Examining the sensitivity of MM5-CMAQ predictions to explicit microphysics schemes and horizontal grid resolutions, Part I-Database, evaluation protocol, and precipitation predictions, Atmospheric Environment, 42, 3842-3855. https://doi.org/10.1016/j.atmosenv.2007.12.067
  18. Reisner, J., R.T. Bruintjes, and R.M. Rasmussen (1993) Preliminary comparisons between MM5 NCAR/Penn State model generated icing forecasts and observations. Preprints, the Fifth International Conference on Aviation Weather Systems, Vienna, VA, 2-6 August, 5pp.
  19. Reisner, J., R.M. Rasmussen, and R.T. Bruintjes (1998) Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model, Quarterly Journal of the Royal Meteorological Society, 142, 1071-1107.
  20. Schultz, P. (1995) An explicit cloud physics parameterization for operational numerical weather Prediction, Monthly Weather Review, 123, 3331-3343. https://doi.org/10.1175/1520-0493(1995)123<3331:AECPPF>2.0.CO;2
  21. Seol, K.-H. and S.-Y. Hong (2006) Effects of Physical Parameterizations on the Simulation of a Snowfall Event over Korea Caused by Air-mass Transformation, Atmosphere, 16(3), 203-213. (in Korean with English abstract)
  22. Stoelinga, M.T., P.V. Hobbs, C.F. Mass, and J.D. Locatelli (2003) Improvement of microphysical parameterization through observational verification experiment, Bulletin of the American Meteorological. Society, 84, 1807-1826. https://doi.org/10.1175/BAMS-84-12-1807
  23. Tao, Z., A. Williams, H.-C. Huang, M. Caughey, and X.-Z. Liang (2008) Sensitivity of Surface Ozone Simulation to Cumulus Parameterization, Journal of Applied Meteorology and Climatology, 47, 1456-1466. https://doi.org/10.1175/2007JAMC1780.1
  24. Wang, H., M. Zhang, and M. Liu (2006) Influence of Moist Schemes in MM5 on the Uncertainties of "03.7" Heavy Rainfall Numerical simulation, Journal of Applied Meteorological Science, 17(3), 346-353.
  25. Wang, W. and N.L. Seaman (1997) A comparison study of convective parameterization schemes in a mesoscale model, Monthly Weather Review, 125, 252-278. https://doi.org/10.1175/1520-0493(1997)125<0252:ACSOCP>2.0.CO;2
  26. Warner, T.T., R.A. Peterson, and R.E. Treadon (1997) A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction, Bulletin of the American Meteorological. Society, 78, 2599-2617. https://doi.org/10.1175/1520-0477(1997)078<2599:ATOLBC>2.0.CO;2
  27. Zhang, Q., D.G. Streets, G.R. Carmichael, K.B. He, H. Huo, A. Kannari, Z. Klimont, I.S. Park, S. Reddy, J.S. Fu, D. Chen, L. Duan, Y. Lei, L.T. Wang, and Z.L. Yao (2009) Asian emissions in 2006 for the NASA INTEX- B mission, Journal of Atmospheric Chemistry Physics, 9, 5131-5153. https://doi.org/10.5194/acp-9-5131-2009