대기 (Atmosphere)

  • 제30권4호
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  • Pages.347-360
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  • 2020
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  • 1598-3560(pISSN)
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  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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레이더 자료를 이용한 기하학적 태풍중심 탐지 기법 개선

Improvement of a Detecting Algorithm for Geometric Center of Typhoon using Weather Radar Data

  • 정우미 (기상청 기상레이더센터) ;
  • 석미경 (기상청 기상레이더센터) ;
  • 최윤 (기상청 기상레이더센터) ;
  • 김광호 (기상청 기상레이더센터)
  • Jung, Woomi (Weather Radar Center, Korea Meteorological Administration) ;
  • Suk, Mi-Kyung (Weather Radar Center, Korea Meteorological Administration) ;
  • Choi, Youn (Weather Radar Center, Korea Meteorological Administration) ;
  • Kim, Kwang-Ho (Weather Radar Center, Korea Meteorological Administration)
  • 투고 : 2020.07.07
  • 심사 : 2020.10.13
  • 발행 : 2020.12.31
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⟨ 이전 논문 다음 논문 ⟩

초록

The automatic algorithm optimized for the Korean Peninsula was developed to detect and track the center of typhoon based on a geometrical method using high-resolution retrieved WISSDOM (WInd Syntheses System using DOppler Measurements) wind and reflectivity data. This algorithm analyzes the center of typhoon by detecting the geometric circular structure of the typhoon's eye in radar reflectivity and vorticity 2D field data. For optimizing the algorithm, the main factors of the algorithm were selected and the optimal thresholds were determined through sensitivity experiments for each factor. The center of typhoon was detected for 5 typhoon cases that approached or landed on Korean Peninsula. The performance was verified by comparing and analyzing from the best track of Korea Meteorological Administration (KMA). The detection rate for vorticity use was 15% higher on average than that for reflectivity use. The detection rate for vorticity use was up to 90% for DIANMU case in 2010. The difference between the detected locations and best tracks of KMA was 0.2° on average when using reflectivity and vorticity. After the optimization, the detection rate was improved overall, especially the detection rate more increased when using reflectivity than using vorticity. And the difference of location was reduced to 0.18° on average, increasing the accuracy.

키워드

과제정보

본 논문의 개선을 위해 좋은 의견을 제시해 주신 두 분의 심사위원께 감사를 드립니다. 이 연구는 기상청 기상레이더센터 R&D 연구개발사업 "범부처 융합 이중편파레이더 활용 기술개발(WRC 2013-A-1)"의 지원으로 수행되었습니다.

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