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단일편파 레이더자료 품질관리기술 특성 분석

Analysis of Quality Control Technique Characteristics on Single Polarization Radar Data

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참고문헌

키워드

주제분류대기과학

초록

The radar reflectivity is significantly affected by ground clutter, beam blockage,anomalous propagation (AP), birds, insects, chaff, etc. The quality of radar reflectivity is veryimportant in quantitative precipitation estimation. Therefore, Weather Radar Center (WRC) ofKorea Meteorological Administration (KMA) employed two quality control algorithms: 1) OpenRadar Product Generator (ORPG) and 2) fuzzy quality control algorithm to improve quality ofradar reflectivity. In this study, an occurrence of AP echoes and the performance of both qualitycontrol algorithms are investigated. Consequently, AP echoes frequently occur during the springand fall seasons. Moreover, while the ORPG QC algorithm has the merit of removing non-precipitationechoes, such as AP echoes, it also removes weak rain echoes and snow echoes. In contrast,the fuzzy QC algorithm has the advantage of preserving snow echoes and weak rain echoes,but it eliminates the partial area of the contaminated echo, including the AP echoes.

Abstract

The radar reflectivity is significantly affected by ground clutter, beam blockage,anomalous propagation (AP), birds, insects, chaff, etc. The quality of radar reflectivity is veryimportant in quantitative precipitation estimation. Therefore, Weather Radar Center (WRC) ofKorea Meteorological Administration (KMA) employed two quality control algorithms: 1) OpenRadar Product Generator (ORPG) and 2) fuzzy quality control algorithm to improve quality ofradar reflectivity. In this study, an occurrence of AP echoes and the performance of both qualitycontrol algorithms are investigated. Consequently, AP echoes frequently occur during the springand fall seasons. Moreover, while the ORPG QC algorithm has the merit of removing non-precipitationechoes, such as AP echoes, it also removes weak rain echoes and snow echoes. In contrast,the fuzzy QC algorithm has the advantage of preserving snow echoes and weak rain echoes,but it eliminates the partial area of the contaminated echo, including the AP echoes.

참고문헌 (19)

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  16. Siggia, A., "Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation", Proc. Third European Conf. on Radar in Meteorology and Hydrology, pp.67~73 (2004)
  17. Steiner, M., "Use of three-dimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data", J. Atmos. Oceanic Technol., 19, pp.673~686 (2002)
  18. Weather radar data analysis guidance, "WRC", 71~, pp.WRC technical notes WRC 2013-02 (2013)
  19. You, C. -H., "Single polarization radar data quality control algorithm", Proceedings of the Spring Meeting of KMS, pp.150~151 (2006)

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