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강우의 불확실성에 관한 강우레이더 영상 품질관리 알고리즘

Quality Control Algorithm of Rainfall Radar Image for Uncertainty of Rainfall

  • Choi, Jeongho (Dept. of Mechatronics Engineering, Chosun College of Science & Technology) ;
  • Yoo, Chulsang (Dept. of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Lim, Sanghun (Dept. of Hydro Science and Engineering Research Institute., Korea Institute) ;
  • Han, Myoungsun (Dept. of Hydro Science and Engineering Research Institute., Korea Institute) ;
  • Lee, Baekyu (Dept. of Mechatronics Engineering, Chosun College of Science & Technology)
  • 투고 : 2017.11.05
  • 심사 : 2017.11.16
  • 발행 : 2017.12.31

초록

The paper aims to analyze structure of I/Q data observed from radar and reliably estimate rainfall through quality control of I/Q data that can quantify uncertainty of I/Q data occurring due to resultant errors. Radar rainfall data have strong uncertainty due to various factors influencing quality. In order to reduce this uncertainty, previously enumerated errors in quality need to be eliminated. However, errors cannot be completely eliminated in some cases as seen in random errors, so uncertainty is necessarily involved in radar rainfall data. Multi-Lag Method, one of I/Q data quality control methods, was applied to estimate precipitation with regard to I/Q data of rainfall radar in Mt. Sobaek.

키워드

참고문헌

  1. B. Jang, K. Lee, D. Lee, and S. Lim, "High-Precision and 3D GIS Matching and Projection Based User-Friendly Radar Display Technique," Journal of Korea Water Resources Association, Vol. 47, No. 12, pp. 1145-1154, 2014. https://doi.org/10.3741/JKWRA.2014.47.12.1145
  2. D. Rosenfeld, A. Eyal, and B.D. Wolff, "Improved Accuracy of Radar WPMM Estimated Rainfall upon Application of Objective Classification Criteria," Journal of Applied Meteorology and Climatology, Vol. 34, pp. 212-223, 1995. https://doi.org/10.1175/1520-0450-34.1.212
  3. D.S. Zrnic, “Estimation of Spectral Moments for Weather Echoes,” IEEE Transactions on Geoscience Electronics, Vol. GE17, No. 4, pp. 113-128, 1979.
  4. D.S. Zrnic, "Simulation of Weatherlike Doppler Spectra and Signals," Notes and Correspondence, pp. 619-620, 1975.
  5. L. Lei, G. Zhang, R.D. Palmer, B.L. Cheong, M. Xue, and Q. Cao, "A Multi-lag Correlation Estimator for Polarimetric Radar Parameters in the Presence of Noise," Proceeding of AMS 34th Conference on Radar Meteorology, pp. 13-25, 2009.
  6. L. Lei, G. Zhang, B.L. Cheong, R.D. Palmer, and M. Xue, "Simulations of Polarimetric Radar Signals Based on Numerical Weather Prediction Output," Proceeding of AMS 25th Conference on IIPS, pp. 2-8, 2009.
  7. L. Lei, Simulation and Processing of Polarimetric Radar Signals Based on Numerical Weather Prediction Model Output, Master's Thesis of University of Oklahoma, 2009.
  8. M. Fang, R.J. Doviak, and V. Melnikov, "Spectrum Width Measured by WSR-88D Radar: Error Sources and Statistics of Various Weather Phenomena," Journal of Atmospheric and Oceanic Technology, No. 21, pp. 888-904, 2004.
  9. R.J. Doviak and D.S. Zrnic, Doppler and Weather Observations, Academic Press, Atlanta, 1993.
  10. R.J. Doviak and D.S. Zrnic, Doppler Radar and Weather Observations, Academic Press, Atlanta, 1993.
  11. R.J. Doviak, V. Bringi, A. Ryzhkov, A. Zahrai, and D.S. Zrnic, "Considerations for Polarimetric Usgrades to Operational WSR-88D Radars," Journal of Atmospheric and Oceanic Technology, No. 17, pp. 256-278, 2000.
  12. R.W. Lee, Performance of the Poly-pulse-pair Doppler Estimator, Lassen Research Company, Manton, California, 1978.
  13. V.M. Melnikov and D.S. Zrnic, "Autocorrelation and Cross-correlation Estimators of Polarimetric Variables," Journal of Atmospheric and Oceanic Technology, No. 24, 1337-1350, 2007.
  14. V.M. Melnikov and D.S. Zrnic, Simultaneous Transmission Mode for the Polarimetric WSR- 88D: Statistical Biases and Standard Deviations of Polarimetric Variables, NOAA/NSSL Report, 2004.
  15. V. M. Melnikov, D. S. Zrnic, R. J. Doviak, J. K. Carter, Calibration and Performance Analysis of NSSL's Polarimetric WSR- 88D, NSSL Report, 2003.
  16. V.M. Melnikov, "One-lag Estimator for Cross-polarization Measurements," Journal of Atmospheric and Oceanic Technology, No. 23, pp. 915-926, 2006.
  17. V.N. Bringi and V. Chandrasekar, Polarimetric Doppler Weather Radar: Principles and Applications, Cambridge University Press, New York, 2001.
  18. EEC, Weather Radar Operation Manual, 2004.
  19. Vaisala, Sigmet RVP-8 User Manual, 2006.

피인용 문헌

  1. 국지성 호우 관측을 위한 FPGA 기반의 전파강수계 신호처리 설계 vol.24, pp.9, 2017, https://doi.org/10.6109/jkiice.2020.24.9.1215