Numerical Simulations of the local circulation in coastal area using Four-Dimensional Data Assimilation Technique

4차원 자료동화 기법을 이용한 해안가 대기 순환의 수치 실험

  • Published : 2002.06.30

Abstract

Four dimensional data assimilation (FDDA) technique was considered for 3 dimensional wind field in coastal area and a set of 3 numerical experiments including control experiments has been tested for the case of the synoptic weather pattern of the weak northerly geostrophic wind with the cloud amount of less than 5/10 in autumn. A three dimensional land and sea breeze model with the sea surface temperature (SST) of 290K was performed without nudging the observed wind field and surface temperature of AWS (Automatic Weather System) for the control experiment. The results of the control experiment showed that the horizontal temperature gradient across the coastline was weakly simulated so that the strength of the sea breeze in the model was much weaker than that of observed one. The experiment with only observed horizontal wind field showed that both the pattern of local change of wind direction and the times of starting and ending of the land-sea breeze were fairly well simulated. However, the horizontal wind speed and vertical motion in the convergence zone were weakly simulated. The experiment with nudgings of both the surface temperature and wind speed showed that both the pattern of local change of wind direction and the times of starting and ending of the land-sea breeze were fairly well simulated even though the ending time of the sea breeze was delayed due to oversimulated temperature gradient along the shoreline.

Keywords

References

  1. Vukovich, F. M., 1995, Regional scale boundary layer ozone variations in the Eastern United States and their association with meteorological variation, Atmospheric Environment, 29(17), 2259-2273 https://doi.org/10.1016/1352-2310(95)00146-P
  2. Yamada, T. c., C.-Y.J. Kao, and S. Bunker, 1989, Airflow and air quality simulations over the western mountainous region with a four dimensional data assimilation technique, Atmospheric Environment, 23(3), 539-554 https://doi.org/10.1016/0004-6981(89)90003-6
  3. Anthes, R. A., 1974, Data assimilation and initialization of hurricane prediction models, Journal of Atmospheric Science, 31, 702-719 https://doi.org/10.1175/1520-0469(1974)031<0702:DAAIOH>2.0.CO;2
  4. 박순웅, 윤일회, 1991, 한반도의 국지 기상 특징, 한국기상학회지, 27(2), 88-118
  5. 박순웅, 1990, 한반도에서의 3차원 해륙풍 모델의 결과, 한국기상학회지, 26(2), 66-77
  6. 김철회, 전종갑, 1992, 종관바람을 고려한 한반도 에서의 3차원 해륙풍 수치모의, 한국기상학회지, 28(2), 165-181
  7. Pielke, R. A., 1974, A three-dimensional numerical model of the sea breeze phenomena over South Florida, Monthly Weather Review, 102, 115-139 https://doi.org/10.1175/1520-0493(1974)102<0115:ATDNMO>2.0.CO;2
  8. Neuman, J. and Y. Mahrer, 1971, A theorical study of the sea and land breeze circulation, Journal of Atmospheric Science, 28, 532-542 https://doi.org/10.1175/1520-0469(1971)028<0532:ATSOTL>2.0.CO;2
  9. 정관영, 1989, 지형올 포함한 2차원 해륙풍 모델과 이를 이용한 오염 확산, 서울대학교대학원 석사학위논문, 56pp
  10. Park. S.-U., I.-H. Yoon, 1987, Diurnal and seasonal variations of radiative fluxes on inclined surfaces, J. Korean Meteor. Soc., 23(3), 40-53
  11. 김병곤, 박순웅, 1993, 대기경계층내의 바람과 기온의 연직 구조에 관한 진단적 모델링, 한국기상학회지,29(4), 281-305
  12. Stauffer, D. R., and N. L. Seaman, 1990, Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I : Experiments with synoptic data, Mon. Wea. Rev., 118, 1250-1277 https://doi.org/10.1175/1520-0493(1990)118<1250:UOFDDA>2.0.CO;2