Development of Convective Cell Identification and Tracking Algorithm using 3-Dimensional Radar Reflectivity Fields

3차원 레이더 반사도를 이용한 대류세포 판별과 추적 알고리즘의 개발

  • Jung, Sung-Hwa (Department of Astronomy and Atmospheric Sciences, Kyungpook National University) ;
  • Lee, GyuWon (Department of Astronomy and Atmospheric Sciences, Kyungpook National University) ;
  • Kim, Hyung-Woo (73rd Weather Group, Republic of Korea Air Force) ;
  • Kuk, BongJae (Launch Operation Department, Korea Aerospace Research Institute)
  • 정성화 (경북대학교 천문대기과학과) ;
  • 이규원 (경북대학교 천문대기과학과) ;
  • 김형우 (공군 제 73 기상전대) ;
  • 국봉재 (한국항공우주연구원 기술관리팀)
  • Received : 2011.04.25
  • Accepted : 2011.07.12
  • Published : 2011.09.30


This paper presents the development of new algorithm for identifying and tracking the convective cells in three dimensional reflectivity fields in Cartesian coordinates. First, the radar volume data in spherical coordinate system has been converted into Cartesian coordinate system by the bilinear interpolation. The three-dimensional convective cell has then been identified as a group of spatially consecutive grid points using reflectivity and volume thresholds. The tracking algorithm utilizes a fuzzy logic with four membership functions and their weights. The four fuzzy parameters of speed, area change ratio, reflectivity change ratio, and axis transformation ratio have been newly defined. In order to make their membership functions, the normalized frequency distributions are calculated using the pairs of manually matched cells in the consecutive radar reflectivity fields. The algorithms have been verified for two convective events in summer season. Results show that the algorithms have properly identified storm cells and tracked the same cells successively. The developed algorithms may provide useful short-term forecasting or nowcasting capability of convective storm cells and provide the statistical characteristics of severe weather.



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