Browse > Article
http://dx.doi.org/10.5322/JES.2007.16.10.1127

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

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)
Publication Information
Journal of Environmental Science International / v.16, no.10, 2007 , pp. 1127-1137 More about this Journal
Abstract
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.
Keywords
Wind fields; LAPS; Data assimilation; Upper-air observations; Wind profiler; Sonde;
Citations & Related Records
연도 인용수 순위
  • Reference
1 과학기술처, 1997, 기상자료 종합분석 시스템 개발(III), 293pp
2 과학기술처, 2000, 한반도 국지기상 자료동화 기법 개발, 89pp
3 김용상, 오재호, 차주완, 서애숙, 1999, 국지규모 기상 분석 시스템 (LAPS)의 한반도 적용 및 시험, 기상연구논문집, 52-62
4 McGinley J. A., 1995, Opportunities for high resolution data analysis, prediction, and product dissemination within the local weather office. Preprints. 14th Conf. on Weather Analysis and Forecasting. Dallas. TX, Amer. Meteor. Soc., 478-485
5 박옥란, 김용상, 조천호, 2005, 해남 윈드프로파일러와 오토존대 자료를 이용한 관측시스템 연구, 한국기상학회지, 41(1), 57-71
6 Richard E., Mascart P., Nickerson E., 1989, The role of surface friction in downslope windstorms, J. Appli. Meteo., 28, 241-251   DOI
7 김용상, 오재호, 2000, 위성휘도온도 자료를 이용한 지상온도 분석장의 개선, The Journal of KOREA Analysis Society, 2(4), 455-463
8 Groves J. R., 1989, A practical soil moisture profile model, Water Resources Bulletin, 25, 875-880   DOI
9 황동익, 2001, 복잡한 지역에서의 초기장 도출에 관한 연구, 석사학위논문, 대기과학과, 연세대학교 서울
10 김용상, 박옥란, 황승언, 2002, 기상연구소의 국지규모 기상 분석 및 예측 시스템 (KLAPS)의 실시간 운영, 한국기상학회지, 38(1), 1-10
11 Stauffer D. R., Seaman N. L., 1994, Multiscale four-dimensional data assimilation, J. Appl. Meteor., 33, 416-434   DOI   ScienceOn
12 Lewis J. M., 1971, Variational subsynoptic analysis with applications to severe local storms, Mon. Wea. Rev., 99, 786-795   DOI