The Effects of Data Assimilation on Simulated Wind Fields Using Upper-Air Observations

고층기상관측자료를 이용한 바람장 개선 효과 연구

  • Jeong, Ju-Hee (Division of Earth Environmental System, Pusan National University) ;
  • Kwun, Ji-Hye (Global Environment System Research Lab., National Institute of Meteorological Research) ;
  • Kim, Yoo-Keun (Division of Earth Environmental System, Pusan National University)
  • 정주희 (부산대학교 지구환경시스템학부) ;
  • 권지혜 (국립기상연구소 지구환경시스템연구팀) ;
  • 김유근 (부산대학교 지구환경시스템학부)
  • Published : 2007.10.31


We focused on effects on data assimilation of simulated wind fields by using upper-air observations (wind profiler and sonde data). Local Analysis Prediction System (LAPS), a type of data assimilation system, was used for wind field modeling. Five cases of simulation experiments for sensitivity analysis were performed: which are EXP0) non data assimilation, EXP1) surface data, EXP2) surface data and sonde data, EXP3) surface data and wind profiler data, EXP4) surface data, sonde data and wind profiler data. These were compared with observation data. The result showed that the effects of data assimilation with wind profiler data were found to be greater than sonde data. The delicate wind fields in complex coastal area were simulated well in EXP3. EXP3 and EXP4 using wind profiler data with vertically high resolution represented well sophisticated differences of wind speed compared with EXP1 and EXP2, this is because the effects of wind profiler data assimilation were sensitively adjusted to first guess field than those of sonde observations.


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