Asian Journal of Atmospheric Environment

Korean Society for Atmospheric Environment (한국대기환경학회)
권호 표지
DOI QR코드

DOI QR Code

Impact of Wind Profiler Data Assimilation on Wind Field Assessment over Coastal Areas

  • Park, Soon-Young (Division of Earth Environment System, Pusan National University) ;
  • Lee, Hwa-Woon (Division of Earth Environment System, Pusan National University) ;
  • Lee, Soon-Hwan (The Institute of Environmental Studies, Pusan National University) ;
  • Kim, Dong-Hyeok (Division of Earth Environment System, Pusan National University)
  • Received : 2010.01.12
  • Accepted : 2010.11.15
  • Published : 2010.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Precise analysis of local winds for the prediction of atmospheric phenomena in the planetary boundary layer is extremely important. In this study, wind profiler data with fine time resolution and density in the lower troposphere were used to improve the performance of a numerical atmospheric model of a complex coastal area. Three-dimensional variational data assimilation (3DVAR) was used to assimilate profiler data. Two experiments were conducted to determine the effects of the profiler data on model results. First, we performed an observing system experiment. Second, we implemented a sensitivity test of data assimilation intervals to extend the advantages of the profiler to data assimilation. The lowest errors were observed when using both radio sonde and profiler data to interpret vertical and surface observation data. The sensitivity to the assimilation interval differed according to the synoptic conditions when the focus was on the surface results. The sensitivity to the weak synoptic effect was much larger than to the strong synoptic effect. The hourly-assimilated case showed the lowest root mean square error (RMSE, 1.62 m/s) and highest index of agreement (IOA, 0.82) under weak synoptic conditions, whereas the statistics in the 1, 3, and 6 hourly-assimilated cases were similar under strong synoptic conditions. This indicates that the profiler data better represent complex local circulation in the model with high time and vertical resolution, particularly when the synoptic effect is weak.

Keywords

References

  1. Atlas, R. (1997) Atmospheric Observations and Experiments to Assess Their Usefulness. Journal of the Meteorological Society of Japan 75, 111-130. https://doi.org/10.2151/jmsj1965.75.1B_111
  2. Barker, D.M., Huang, W., Guo, Y.-R., Bourgeois, A., Xiao, X.N. (2004) A three-dimensional variational data assimilation system for MM5: Implementation and initial results, Monthly Weather Review 132, 897-914. https://doi.org/10.1175/1520-0493(2004)132<0897:ATVDAS>2.0.CO;2
  3. Benjamin, S.G., Schwartz, B.E., Szoke, E.J., Koch, S.E. (2004) The value of wind profiler data in U.S. weather forecasting, Bulletin of the American Meteorological Society 85(12), 1871-1886. https://doi.org/10.1175/BAMS-85-12-1871
  4. Hirschberg, P.A., Shafran, P.C., Elsberry, R.L., Ritchie, E.A. (2001) An observing system experiment with the West Coast Picket Fence, Monthly Weather Review 129, 2585-2599. https://doi.org/10.1175/1520-0493(2001)129<2585:AOSEWT>2.0.CO;2
  5. Ide, K., Courtier, P., Ghil, M., Lorenc, A.C. (1997) Unified notation for data assimilation: Operational, sequential and variational, Journal of the Meteorological Society of Japan 75, 181-189. https://doi.org/10.2151/jmsj1965.75.1B_181
  6. Ishihara, M., Kato, Y., Abo, T., Kobayashi, K., Izumikawa, Y. (2006) Characteristics and performance of the operational wind profiler network of the Japan Meteorological Agency, Journal of the Meteorological Society of Japan 84(6), 1085-1096. https://doi.org/10.2151/jmsj.84.1085
  7. Kim, H.-G., Jang, M.-S., Kyong, N.-Ho., Lee, H.W., Choi, H.-J., Kim, D.-H. (2006) Establishment of the low-resolution national wind map by numerical wind simulation, Journal of the Korean Solar Energy Society 26(4) 31-38. (in Korean)
  8. Lee, H.W., Won, H.Y., Choi, H.-J. (2004) Numerical simulation of atmospheric flow fields using surface observational data in the complex coastal regions, Journal of Korean Society for Atmospheric Environment 20(5), 633-645. (in Korean)
  9. Lee, H.W., Kim, M.-J., Kim, D.-H., Kim, H.-G., Lee, S.-H. (2009a) Investigation of the assimilated surface wind characteristics for the evaluation of wind resources, Journal of Korean Society for Atmospheric Environment 25(1), 1-14. (in Korean) https://doi.org/10.5572/KOSAE.2009.25.1.001
  10. Lee, H.W., Park, S.-Y., Lee, S.-H., Lim, H.-H. (2009b) Characteristics of ozone advection in vertical observation analysis around complex coastal area, Journal of Korean Society for Atmospheric Environment 25(1), 57-74. (in Korean) https://doi.org/10.5572/KOSAE.2009.25.1.057
  11. Lee, S.H., Kim, Y.K., Kim, H.S., Lee, H.W. (2007) Influence of dense surface meteorological data assimilation on the prediction accuracy of ozone pollution in the southeastern coastal area of the Korean Peninsula, Atmospheric Environment 41, 4451-4465. https://doi.org/10.1016/j.atmosenv.2007.01.050
  12. Mike Fisher (2001) Assimilation technique (3): 3dvar, ECMWF, Meteorological Training Course Lecture Series.
  13. National Institute Meteorological Research (2003) Korea Enhanced Observing Period (KEOP) 3, 25-45.
  14. National Center for Atmospheric Research (2008) Weather Research & Forecasting: ARW Version 3 Modelling System User’s Guide.
  15. Park, O.-R., Kim, Y.-S., Cho, C.-H. (2005) The observing system experiments with the wind profiler and autosonde at Haenam, Asia-Pacific Journal of Atmospheric Sciences 41(1), 57-71. (in Korean)
  16. Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.Y., Wang, W., Powers, J.G. (2008) A Description of the Advanced Research WRF Version 3, Ncar Technical Note, NCAR/TN-475+STR.
  17. University Corporation for Atmospheric Research (2001) Understanding Data Assimilation: How Models Create Their Initial Conditions, www.meted.ucar.edu.
  18. Won, H.Y., Park, C.-G., Kim, Y.-H., Lee, H.-S., Cho, C.-H. (2008) Observing system experiments using the intensive observation data during KEOP-2005, Atmosphere 18(4), 299-316. (in Korean)

Cited by

  1. Characteristics of sea breeze front development with various synoptic conditions and its impact on lower troposphere ozone formation vol.30, pp.5, 2013, https://doi.org/10.1007/s00376-013-2256-3
  2. Quality Evaluation of Wind Vectors from UHF Wind Profiler using Radiosonde Measurements vol.24, pp.1, 2015, https://doi.org/10.5322/JESI.2015.24.1.133
  3. Impact of Assimilating Wind Profiling Radar Observations on Convection-Permitting Quantitative Precipitation Forecasts during SCMREX vol.31, pp.4, 2016, https://doi.org/10.1175/WAF-D-15-0156.1
  4. Weather research and forecasting model simulations over the Pearl River Delta Region pp.1873-9326, 2018, https://doi.org/10.1007/s11869-018-0636-7
  5. 지형에코 제거를 통한 UHF 윈드프로파일러의 바람벡터 개선 vol.25, pp.2, 2010, https://doi.org/10.5322/jesi.2016.25.2.267
  6. Towards assimilation of wind profile observations in the atmospheric boundary layer with a sub-kilometre-scale ensemble data assimilation system vol.72, pp.1, 2010, https://doi.org/10.1080/16000870.2020.1764307
  7. Satellite Based Interpretation of Stability Parameters on Convective Systems over India and Srilanka vol.14, pp.2, 2010, https://doi.org/10.5572/ajae.2020.14.2.119