The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Comparison of Data Measured by Doppler Instruments at 1,550 nm and 23.2 cm Wavelengths

1,550 nm와 23.2 cm 파장의 도플러 측기 관측자료 비교

  • 이건명 (부경대학교 지구환경시스템과학부) ;
  • 권병혁 (부경대학교 환경대기과학전공) ;
  • 이경훈 (부경대학교 지구환경시스템과학부) ;
  • 서지우 (부경대학교 지구환경시스템과학부)
  • Received : 2023.10.27
  • Accepted : 2023.12.27
  • Published : 2023.12.31
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Abstract

Wind LiDAR and Wind Profiler are devices that produce continuous vertical distribution of wind vector in high-resolution data, and their use has recently been increasing. Although the observation and data processing methods of the two devices are similar, differences in wind detection accuracy may occur depending on weather and operation settings. introduce the characteristics of the two instruments and wind calculation methods, and apply the latest instrument verification standards to evaluate their accuracy by comparing them with the wind observed with a radiosonde. Accordingly, a new direction for performance verification following the introduction of equipment and additional necessary complements are presented.

윈드라이다와 윈드프로파일러는 연속적인 바람의 연직 분포를 고해상도의 자료로 산출하는 장비로써 최근 활용도가 높아지고 있다. 두 장비의 관측방식과 데이터 처리방식은 유사하지만, 기상 및 동작 설정에 따라 바람 탐지정확도의 차이가 발생할 수 있다. 두 장비의 특성과 바람 산출 방법을 소개하고 최신 장비 검증기준을 적용해 라디오존데로 관측한 바람과 비교하여 정확성을 평가한다. 이에 따라 장비도입에 따른 새로운 성능검증 방향과 추가로 필요한 보완점을 제시한다.

Keywords

Acknowledgement

이 연구는 기상청 기상레이더센터 R&D "국가레이더 통합 활용기술 개발 사업"의 "레이더 기반 위험기상 감시기술 개발(KMA2021-03121)" 지원으로 수행되었고, 자료는 국립기상과학원 예보연구부에서 제공하였음.

References

  1. S. G. Benjamin, B. E. Schwartz, E. J. Szoke, and S. E. Koch, "The value of wind profiler data in US weather forecasting," Bulletin of the American Meteorological Society, vol. 85, no. 12, 2004, pp. 1871-1886. https://doi.org/10.1175/BAMS-85-12-1871
  2. O. Reitebuch, Wind lidar for atmospheric research. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
  3. J. F. Newman, P. M. Klein, S. Wharton, A. Sathe, T. A. Bonin, P. B. Chilson, and A. Muschinski, "Evaluation of three lidar scanning strategies for turbulence measurements," Atmospheric Measurement Techniques, vol. 9, no. 5, 2016, pp. 1993-2013. https://doi.org/10.5194/amt-9-1993-2016
  4. S. A. Cohn and R. K. Goodrich, "Radar wind profiler radial velocity: A comparison with Doppler lidar," J. of Applied Meteorology and Climatology, vol. 41, no. 12, 2002, pp. 1277-1282. https://doi.org/10.1175/1520-0450(2002)041<1277:RWPRVA>2.0.CO;2
  5. T. Wei, H. Xia, J. Hu, C. Wang, M. Shangguan, L. Wang, M. Jia, and X. Dou, "Simultaneous wind and rainfall detection by power spectrum analysis using a VAD scanning coherent Doppler lidar," Optics express, vol. 27, no. 22, 2019, pp. 31235-31245. https://doi.org/10.1364/OE.27.031235
  6. S. Tang, Y. Guo, X. Wang, J. Tang, T. Li, B. Zhao, S. Zhang, and Y. Li, "Validation of Doppler wind lidar during super typhoon Lekima (2019)," Frontiers of Earth Science, vol. 16, 2022, pp. 75-89. https://doi.org/10.1007/s11707-020-0838-9
  7. K. Lee, H. Yoon, and B. Kwon, "Evaluation of UHF Radar Data," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 3, 2021, pp. 423-428.
  8. W. Hwang, P. Lin, and H. Yu, "The development of the Storm Tracker and its applications for atmospheric high-resolution upper-air observations," Atmospheric Measurement Techniques, vol. 13, no. 10, 2020, pp. 5395-5406. https://doi.org/10.5194/amt-13-5395-2020
  9. S. Fukao, K. Hamazu, and R. J. Doviak, Radar for meteorological and atmospheric observations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014.
  10. K. A. Browning and R. Wexler, "The determination of kinematic properties of a wind field using Doppler radar," J. of Applied meteorology and climatology, vol. 7, no. 1, 1968, pp. 105-113. https://doi.org/10.1175/1520-0450(1968)007<0105:TDOKPO>2.0.CO;2
  11. W. Jo, B. Kwon, P. Kim, M. Kim, and H. Yoon, "Quality Control of the UHF Wind Profiler Radar," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 2, 2018, pp. 277-290.
  12. M. Kim, K. Lee, B. Kwon, and H. Yoon, "Retrieval of Remotely Sensed Fluid Velocity and Estimation of Its Accuracy by Eulerian Measurement," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 1, 2021, pp. 151-156.