DOI QR코드

DOI QR Code

Local Wind Field Simulation over Coastal Areas Using Windprofiler Data

윈드프로파일러 자료를 이용한 연안 지역 국지 바람장 모의

  • Kim, Min-Seong (Geo-Sciences Institute, Pukyong National University) ;
  • Kim, Kwang-Ho (Geo-Sciences Institute, Pukyong National University) ;
  • Kim, Park-Sa (Geo-Sciences Institute, Pukyong National University) ;
  • Kang, Dong-Hwan (Geo-Sciences Institute, Pukyong National University) ;
  • Kwon, Byung Hyuk (Department of Environmental Atmospheric Sciences, Pukyong National University)
  • 김민성 (부경대학교 지구과학연구소) ;
  • 김광호 (부경대학교 지구과학연구소) ;
  • 김박사 (부경대학교 지구과학연구소) ;
  • 강동환 (부경대학교 지구과학연구소) ;
  • 권병혁 (부경대학교 환경대기과학과)
  • Received : 2016.02.15
  • Accepted : 2016.04.27
  • Published : 2016.04.30

Abstract

In this paper, the applicability and usefulness of windprofiler input data were investigated to generate three dimensional wind field. A logical diagnostic model CALMET with windprofiler data at ten sites and with weather forecasting model WRF output was evaluated by statistically comparing with the radiosonde data at eight sites. The horizontal wind speed from CALMET simulated with hourly windprofiler data is in good agreement with radiosonde observations within 1.5 m/s of the root mean square error, especially local circulation of wind such as sea breeze over the coastal region. The root mean square error of wind direction ranged $50^{\circ}{\sim}70^{\circ}$ is due to the wind direction error from the windprofiler polluted by ground clutters. Since the exact wind can be produced quickly and accurately in most of the altitude with windprofiler data on CALMET, we expect the method presented in this study to be useful for the monitoring of safe environment as well as weather in the coastal zone.

본 연구에서는 3차원 바람장 생성을 위한 수치 모델의 상층기상 입력 자료로 윈드프로파일러 자료의 적용 가능성과 유용성을 조사했다. 10개 지점의 윈드프로파일러 자료와 기상 예측 모델 WRF의 결과를 기상진단 모델 CALMET에 입력하여 산출한 바람장을 8개 지역에서 관측된 라디오존데 자료와 통계적으로 비교 검증하였다. WRF 바람장 모의 결과를 CALMET에 적용하여 모의한 수평 풍속에 비해 1시간 간격의 윈드프로파일러 자료를 CALMET에 적용하여 모의한 수평 풍속이 평균 제곱근 오차 1.5 m/s 내에서 관측 결과와 일치하고 특히 연안 지역에서 해풍과 같은 국지적인 바람 변화를 잘 모의하였다. 풍향의 평균 제곱근 오차는 $50^{\circ}{\sim}70^{\circ}$로써 지형의 영향으로 오염된 윈드프로파일러의 풍향 오차에 기인한다. 윈드프로파일러 자료를 CALMET에 적용하면 대부분의 고도에서 상대적으로 정확한 바람을 신속하고 정확하게 모의할 수 있기 때문에 본 연구에서 제시하는 방법은 연안 지역의 기상뿐만 아니라 안전 환경 감시에 유용할 것으로 기대된다.

Keywords

References

  1. Bruce, J., C. Daniel, G. Kemal and A. Kaduwela(2006), Comparison of ozone simulations using MM5 and CALMET/MM5 hybrid meteorological fields for July/August 2000 CCOS episode, Atmospheric Environment, Vol. 40, pp. 2812-2822. https://doi.org/10.1016/j.atmosenv.2006.01.020
  2. Byon, J. Y., Y. J. Choi and B. K. Seo(2010), Characteristics of a Wind Map over the Koean Peninsula Based on Mesoscale Model WRF, Atmosphere, Vol. 20, No. 2, pp. 195-210.
  3. Chandrasekar, A., R. C. Philbrick, R. Clark, B. Doddridge and P. Georgopoulos(2003), Evaluating the performance of a computationally efficient MMT/CALMET system for developing wind field inputs to air quality models, Atmospheric Environment, Vol. 37, pp. 3267-3276. https://doi.org/10.1016/S1352-2310(03)00325-X
  4. Dougals, S. G. and R. C. Kessler(1988), User's guide to the diagnostic wind model (Version 1.0), Systems Applications Inc., San Rafel, CA.
  5. Dudhia, J.(1989), Numerical Study of Convection Observed during the winter monsoon experiment using a mesoscale two-dimensional model, Journal of the atmospheric sciences, Vol. 46, No. 20, pp. 3077-3107. https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
  6. Holleman, I., H. van Gasteren and W. Bouten(2008), Quality assessment of weather radar wind profiles during bird migration, J. Atmos. Oceanic Technol., Vol. 25, pp. 2188-2198. https://doi.org/10.1175/2008JTECHA1067.1
  7. Holtslag, A. A. M. and A. P. Van Ulden(1983), A simple scheme for daytime estimates of the surface fluxes from routine weather data, J. Appl. Meteorol., Vol. 22, pp. 517-529. https://doi.org/10.1175/1520-0450(1983)022<0517:ASSFDE>2.0.CO;2
  8. Hong, S. Y. and J. O. J. Lim(2006), The WRF single-moment 6-class microphysics scheme (WSM6), Journal of the korean meteorological society, Vol. 42, No. 2, pp. 129-151.
  9. Ishihara, M., Y. Kato, T. Abo, K. Kobayashi and Y. Izumikawa(2006), Characteristics and performance of the operational wind profiler network of the Japan Meteorological Agency, Journal of the Meteorological Society of Japan, Vol. 84, pp. 1085-1096. https://doi.org/10.2151/jmsj.84.1085
  10. James, O. P. and W. B. Roger(1998), Analyses of the CALMET/CALPUFF modeling system in a screening mode, Research Triangle Park, NC 27711.
  11. Jennifer, B. and S. Joe(2011), Generic guidance and optimum model settings for the calpuff modeling system for inclusion into the 'approved modes for the modeling and assessments of air pollutants in NSW, Australia', NSW office of environment and heritage, Sydney Australia, pp. 1-63.
  12. Jeong, J. H., S. Y. Lo, S. K. Song and Y. K. Kim(2010), The application of wind profiler data and its effects on wind distributions in two different coastal areas, Journal of the environmental sciences, Vol. 19, No. 6, pp. 689-701. https://doi.org/10.5322/JES.2010.19.6.689
  13. Joseph, S. S., R. R. Francoise, E. F. Mark and J. Y. Robert(2000), A user's guide for the calmet meteorological model(Version 5), Earth Tech, Inc., 196 Baker Avernue, Concord, MA 01742, pp. 1-332.
  14. Jung, S. H. and G. W. Lee(2010), Statistical Characteristics of Atmospheric Conditions related to Radar Beam Propagating using Radiosonde Data in 2005-2006, Jour. Korean Earth Science Society, Vol. 31, No. 6, pp. 584-599. https://doi.org/10.5467/JKESS.2010.31.6.584
  15. Kawamura, T.(1985), Recent change of atmosphere environment in Tokyo and its surrounding area, Geographical review of Japan, Vol. 58, No. 1, pp. 83-94. https://doi.org/10.4157/grj1984b.58.83
  16. Kim, C. H. and J. G. Jhun(1992), Numerical simulations of the three-dimensional land and sea breezes under synoptic flows over south Korea, J. korean meteor. soc., Vol. 28, No. 2, pp. 165-181.
  17. Kim, K. H., M. S. Kim, S. W. Seo, P. S. Kim, D. H. Kang and B. H. Kwon(2015), Quality evaluation of wind vectors from UHF wind profiler using radiosonde measurements, Journal of environmental science international, Vol. 24, No. 1, pp. 133-150. https://doi.org/10.5322/JESI.2015.24.1.133
  18. Kim, K. H., P. S. Kim, M. S. Kim, D. H. Kang and B. H. Kwon(2016), Improvement in Wind Vector of UHF Wind Profiler Radar through Removing Ground Echo, Journal of environmental science international, Vol. 25, No. 1, pp. 41-56. https://doi.org/10.5322/JESI.2016.25.1.41
  19. Kim, M. S., B. H. Kwon and D. H. Kang(2014), Estimation of atmospheric turbulent fluxes by the bulk transfer mode over various surface, Journal of environmental science international, Vol. 23, No. 6, pp. 1199-1211. https://doi.org/10.5322/JESI.2014.23.6.1199
  20. Kim, S. T.(2003), A study of fine-scale wind field generation method using MM5 and CALMET in Korea peninsula, Anyang University Master of Science degree, pp. 0-50.
  21. Kwon, B. H.(2005), Turbulence of the coastal atmospheric surface layer and structure of the coastal atmospheric boundary layer, The Korean Society for Fisheries and Marine Science Education, Vol. 17, No. 3, pp. 404-412.
  22. Kwon, B. H., B. Benech, D. Lambert, P. Durand and A. Druihet(1998), Structure of the marine atmospheric boundary layer over an oceanic thermal front: SEMAPHORE experiment, Journal of geophysical research, Vol. 103, No. C11, pp. 25159-25180. https://doi.org/10.1029/98JC02207
  23. Lee, C. B. and J. C. Kim(2009), Evaluation of the calpuff model using improved meteorological fields in complex terrain of east sea coast, Journal of Korean Society for Atmospheric Environment, Vol. 25, No. 1, pp. 15-25. https://doi.org/10.5572/KOSAE.2009.25.1.015
  24. Lee, H. W., D. H. Kim, S. H. Lee, M. J. Kim, S. Y. Park and H. G. Kim(2010), Skillful wind field simulation over complex terrain using coupling system of atmospheric prognostic and diagnostic models, Journal of the environmental sciences, Vol. 19, No. 1, pp. 27-37. https://doi.org/10.5322/JES.2010.19.1.027
  25. Lee, H. W., Y. K. Kim, G. M. Won and I. S. Cho(1999), An emission of pollutants including ship source in the Pusan metropolitan area, Journal of Korean society for atmospheric environment, Journal of Korean Society for Atmospheric Environment, Vol. 15, No. 5, pp. 587-598.
  26. Maruri, M., J. A. Romo and L. Gomez(2014), Aspects of quality control of wind profiler measurements, Atmos. Meas. Tech., Vol. 7, pp. 135-148. https://doi.org/10.5194/amt-7-135-2014
  27. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono and S. A. Clough(1997), Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-K model for the longwave, J. Geophys. Res., Vol. 102, No. D14, pp. 16663-16682. https://doi.org/10.1029/97JD00237
  28. Robert, E. and J. Barbre(2012), Quality control algorithm for the Kennedy Space Center 50-MHz Doppler radar wind profiler winds database, J. Atmos. Oceanic Technol., Vol 29, pp. 1731-1743. https://doi.org/10.1175/JTECH-D-11-00205.1
  29. Yim, S. H. L., J. C. Fung, A. K. H. Lau and S. C. Kot(2007), Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system, J. Geophys. Res., Vol. 112, D05106.