The Effect of Surface and Vertical Observation Data Assimilation on the Horizontal and Vertical Flow Fields Depending on the Upper Wind Conditions

종관 특성에 따른 지상 및 연직 관측자료 동화가 수평 및 연직 확산장에 미치는 영향

  • Choi, Hyun-Jung (Division of Earth Environmental System, Pusan National University) ;
  • Lee, Hwa-Woon (Division of Earth Environmental System, Pusan National University) ;
  • Kim, Min-Jung (Division of Earth Environmental System, Pusan National University)
  • 최현정 (부산대학교 지구환경시스템학부) ;
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 김민정 (부산대학교 지구환경시스템학부)
  • Received : 2010.01.21
  • Accepted : 2010.03.29
  • Published : 2010.04.30


In order to incorporate correctly the large or local scale circulation in an atmospheric model, a nudging term is introduced into the equation of motion. The MM5 model was used to assess the meteorological values differences in each case, during ozone episode days in Gwangyang bay. The main objective of this study is to investigate the effect of horizontal and vertical flow fields according to the surface and vertical observation data assimilation by upper wind conditions. Therefore, we carried out several numerical experiments with various parameterization methods for nudging coefficient considering the upper wind conditions (synoptic or asynoptic condition). Nudging considering the synoptic and asynoptic nudging coefficient does have a clear advantage over dynamic initialization, therefore appropriate limitation of these nudging coefficient values on its upper wind conditions is necessary before making an assessment. Obviously, under the weak synoptic wind, there was apparent advantage associated with nudging coefficient by the regional difference. The accuracy for the prediction of the meteorological values has been improved by applying the appropriate PBL (Planetary Boundary Layer) limitation of circulation.



Supported by : 기상청


  1. Betchtold, P., J.P. Pinty, and P. Mascart (1991) A numericalinvestigation of the influence of large-scale windson sea breeze/inland-breeze type circulations, Journalof applied meteorology, 30(2), 1268-1279.<1268:ANIOTI>2.0.CO;2
  2. Choi, H.J., H.W. Lee, K.H. Sung, and M.J. Kim (2009) Theeffect of atmospheric flow field according to theradius influence and nudging coefficient of theobjective analysis on complex area, Journal of theenvironmental Sciences, 18(3), 271-281.
  3. Choi, H.J., H.W. Lee, K.H. Sung, M.J. Kim, Y.K. Kim, andW.S. Jung (2009) The impact of nudging coefficientfor the initialization on the atmospheric flow fieldand the photochemical ozone concentration of Seoul,Korea, Atmospheric environment, 43(27), 4124-4136.
  4. Coulter, R.l. (1979) A comparison of three methods for measuring mixing-layer height, Journal of American meteorologicalsociety, 18, 1495-1499.
  5. Daul, G.A. and R.A. Pielke (1993) Vertical heat fluxes generatedby mesoscale atmospheric flow induced by thermalinhomogeneities in PBL, Journal of atmosphericsciences, 50(6), 919-928.<0919:VHFGBM>2.0.CO;2
  6. Grell, G.A., J. Dudhia, and D.R. Stauffer (1995) A Descriptionof the fifth-generation Penn State/NCAR mesoscalemodel (MM5). NCAR/TN-398+STR, National Centerfor Atmospheric research, 107.
  7. Kim, S.W., S.U. Park, and B.R. Lee (1997) Variations of $SO_2,\;NO_X$, CO and $O_3$ concentrations in association with synoptic meteorological conditions, Asia-PacificJournal of atmospheric sciences, 33(2), 273-287.
  8. Kondo, H. and K. Gambo (1979) The effect of the mixing layeron the sea breeze circulation and the diffusion ofpollutants associated with land-sea breezes, Journalof meteorology society (Japan), 57(6), 369-575.
  9. Kondo, J., T. Kuwagata, and S. Haginoya (1989) Heat budgetanalysis of nocturnal cooling and daytime heatingin a basin, Journal of American meteorological society,46(19), 742-752.
  10. Lee, H.W., H.Y. Won, and H.J. Choi (2004) Numerical simulationof atmospheric flow fields using surface observationaldata in the complex coastal regions, Journalof Korean society for atmospheric environment,20(5), 633-645.
  11. Lee, H.W., H.J. Choi, and K.Y. Lee (2005) Numerical interpolationon the simulation of air flow field and theeffect of data quality control in complex terrain, Journal of Korean society for atmospheric environment,21(1), 97-105.
  12. Lee, H.W., H.J. Choi, K.H. Sung, S.H. Lee, Y.K. Kim, andW.S. Jung (2008) The impact of topography andurban building parameterization on the photochemicalozone concentration of Seoul, Korea, Atmosphericenvironment, 42(18), 4232-4246.
  13. Mahrer, Y. and R.A. Pielke (1977) The effects of topographyon sea and land breezes in a two-dimensional numericalmodel, Monthly weather review, 105, 1151-1162.<1151:TEOTOS>2.0.CO;2
  14. Nieuwstadt, F.T.M. (1984) The turbulent structure of the stable,nocturnal boundary, Journal of atmosphericscience, 41(11), 2202-2216.<2202:TTSOTS>2.0.CO;2
  15. Reisner, J., R.J. Rassmussen, and R.T. Bruintjes (1998) Explicitforecasting of supercooled liquid water in winterstorms using the MM5 mesoscale model, Q. J. R.,Journal of meteorology society, 124B, 1071-1107.
  16. Smolarkiewicz, P.K. and G.A. Grell (1992) A class of monotoneinterpolation schemes. Journal of computationalphysics, 101, 431-440.
  17. Stauffer, D.R. and N.L. Seaman (1999) Multiscale-four dimensionaldata assimilation, Journal of applied meteorology,33(14), 416-426.
  18. Stull, R.B. (1992) An introduction to boundary layer meteorology,Kluwer academic publisher, 666pp.
  19. Umeda, T. and P.T. Martien (2000) Evaluation of a data assimilationtechnique for a mesoscale meteorologicalmodel used for air quality modeling, Journal ofapplied meteorology, 41(2), 21-29.