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Improvements in the Simulation of Sea Surface Wind Over the Complex Coastal Area-II: Data Assimilation Using LAPS

복잡 해안지역 해상풍 모의의 정확도 개선-II: LAPS를 사용한 자료동화

  • Bae, Joo-Hyun (Department of Atmospheric Sciences, Pusan National University) ;
  • Kim, Yoo-Keun (Department of Atmospheric Sciences, Pusan National University) ;
  • Jeong, Ju-Hee (Department of Atmospheric Sciences, Pusan National University) ;
  • Kweon, Ji-Hye (Department of Atmospheric Sciences, Pusan National University) ;
  • Seo, Jang-Won (Marine Meteorology & Earthquake Research Laboratory, Meteorological Research Institute) ;
  • Kim, Yong-Sang (Information Management Division, Korea Meteorological Administration)
  • Published : 2006.08.01

Abstract

We focus on the improvement of accuracy of sea surface wind over complex coastal area doling the warm season. Local Analysis Prediction System (LAPS) was used to improve the initial values in Mesoscale Meteorological model (MM5). During the clear summer days with weak wind speed, sea surface wind simulated with LAPS was compared with the case without LAPS. The results of modeling with LAPS has a good agreement mesoscale circulation such as mountain and valley winds on land and in case of modeling without LAPS, wind speed overestimated over the sea in the daytime. And the results of simulation with LAPS indicated similar wind speed values to observational data over the sea under influence of data assimilation using BUOY, QuikSCAT, and AMEBAS. The present study suggests that MM5 modelling with LAPS showed more improved results than that of without LAPS to simulate sea surface wind over the complex coastal area.

Keywords

References

  1. 황동익, 2001, 복잡한 지역에서의 초기장 도출에 관한 연구, 연세대학교 석사학위 논문, 45pp
  2. McGinley, J, S. Albers and A. Starnus, 1992, Local data assimilation and analysis for nowcasting, Adv. Space. Res., 7, 179-188
  3. 김용상, 오재호, 2000, 위성휘도온도 자료를 이용한 지상온도 분석장의 개선, The Journal of KOREA Anslysis Society, 2(4), 455-463
  4. 김용상, 오재호, 차주완, 서애숙, 1999, 국지규모 기상 분석 시스템(LAPS)의 한반도 적용 및 시험, 기상연구논문집, 52-62
  5. Andersson, E., J. Pailleux, J. N, Thepaut, J. R Eyre, A P, McNally, G, A Kelly and P, Courtier, 1994, Use of cloud-clear radiances in three/four-dimension variational data assimilation, Quart. J. Roy, Meteor. Soc., 120, 627-653 https://doi.org/10.1002/qj.49712051707
  6. Mo, K C, X, L Wang, R Kistler, M, Kanamitsu and E. Kalnay, 1995, Impact of satellite data on the CDAS-reanalysis system, Mon, Wea, Rev., 123, 124-139 https://doi.org/10.1175/1520-0493(1995)123<0124:IOSDAT>2.0.CO;2
  7. Parrish, D. F, and J. C, Derber, 1992, The national meteorological center's spectral statisctical-interpolation analysis system, Mon. Wea, Rev., 120, 1747-1763 https://doi.org/10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2
  8. Zupanski, D., 1997, A general weak constraint applicable to operational 4DV AR data assimilation systems, Mon. Wea, Rev., 125, 2274-2292 https://doi.org/10.1175/1520-0493(1997)125<2274:AGWCAT>2.0.CO;2
  9. Leslie, L M., J. F, Marshall, R. P, Morision, C. Spino so, R. J. Purser, N. Pescod and R Seecarnp, 1998, Improved hurricane track forecasting from the continuous assimilation of high quality satellite wind data, Mon. Wea, Rev, 126, 1248-1257 https://doi.org/10.1175/1520-0493(1998)126<1248:IHTFFT>2.0.CO;2
  10. Marshall, J. F., L. M, Leslie and C. Spinose, 1997, The generation and assimilation of cloud-drift winds in numerical weather prediction, J. Meteor. Soc, Japan, 75, 383-393 https://doi.org/10.2151/jmsj1965.75.1B_383
  11. 박세영, 이태영, 신현철, 주상원, 2004, 전지구 3차원 변분자료동화에 있어 QuicSCAT 해상풍 자료의 효과, 한국기상학회 봄철 학술발표회, 244-245
  12. McGinley, J., S, Albers and P, Stamus, 1992, Local data assimilation and analysis for nowcasting, Adv, Space Res., 12, 179-188
  13. 김용상, 박옥란, 황승언, 2002, 기상연구소의 국지규모 기상 분석 및 예측 시스템(KLAPS)의 실시간 운영, 한국기상학회지, 38(1), 1-10
  14. 과학기술처, 1997, 기상자료 종합분석 시스템 개발(III), 293pp
  15. 과학기술부, 2000, 한반도 국지기상 자료동화 기법 개발, 89pp
  16. 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
  17. Albers, S. C., J. A. McGinley, D. L. Birkenheour and J. R. Smart, 1996, The Local Analysis and Prediction System; Analysis of clouds, precipitation, and temperature, Wea. Forecasting, 11, 273-287 https://doi.org/10.1175/1520-0434(1996)011<0273:TLAAPS>2.0.CO;2
  18. Albers, S. C., 1995, The LAPS wind analysis Wea. Forecasting, 10, 342-352 https://doi.org/10.1175/1520-0434(1995)010<0342:TLWA>2.0.CO;2
  19. McGinley, J., S. Albers and P. Stamus, 1991, Validation of a composite convective index as defined by a real time local analysis system, Wea. Forecasting, 6, 337-356 https://doi.org/10.1175/1520-0434(1991)006<0337:VOACCI>2.0.CO;2
  20. Barnes, S. L., 1964, A technique for maximizing details in numerical weather map analysis, J. Appli, Meteor., 3, 369-409
  21. Lewis, J. M., 1971, Variational subsynoptic analysis with applications to severe local storms, Mon. Wea. Rev., 99, 786-795 https://doi.org/10.1175/1520-0493(1971)099<0786:VSAWAT>2.3.CO;2
  22. Richard, E., P. Mascart and E. Nickerson, 1989, The role of surface friction in downslope windstorms, J. Appli. Meteo., 28, 241-251 https://doi.org/10.1175/1520-0450(1989)028<0241:TROSFI>2.0.CO;2
  23. Groves, J. R., 1989, A practical soil moisture profile model, Water Resources Bulletin, 25, 875-880 https://doi.org/10.1111/j.1752-1688.1989.tb05403.x
  24. 김용상, 장태규, 박옥란, 2001, 3차원 구롬 분석 알고리즘의 개발 및 응용, 한국자료분석학회지, 3(1), 97-106
  25. 김용상, 최준태, 이용희, 오재호, 2001, 제주 지역에 적합한 중규모 단시간 예측 시스템의 개발, 한국지구과학회지, 22(3), 186-194
  26. Dudhia, J., 1993, A nonhydrostatic version of the penn statelNCAR mesoscale model: validation tests and simulation of an Atlantic cyclone and cold front, Mon. Wea. Rev., 121, 1493-1513 https://doi.org/10.1175/1520-0493(1993)121<1493:ANVOTP>2.0.CO;2
  27. Stauffer, D. R. and N. L. Seaman, 1994, Multiscale four-dimensional data assimilation, J. Appl. Meteor., 33, 416-434 https://doi.org/10.1175/1520-0450(1994)033<0416:MFDDA>2.0.CO;2
  28. 윤일희, 2000, 미기상학개론, 시그마프레스, 71pp
  29. 이화운, 김유근, 정우식, 2000, 복잡한 연안지역에서 해풍시작시 지형의 영향에 대한 수치모의, 한국기상학회지, 36, 561-572