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Korean Meteorological Society (한국기상학회)
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Algorithms for Determining Korea Meteorological Administration (KMA)'s Official Typhoon Best Tracks in the National Typhoon Center

기상청 국가태풍센터의 태풍 베스트트랙 생산체계 소개

  • Kim, Jinyeon (National Typhoon Center, Korea Meteorological Administration) ;
  • Hwang, Seung-On (Climate Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Seong-Su (National Typhoon Center, Korea Meteorological Administration) ;
  • Oh, Imyong (Jeju Airport Weather Office, Aviation Meteorological Office) ;
  • Ham, Dong-Ju (National Typhoon Center, Korea Meteorological Administration)
  • 김진연 (기상청 국가태풍센터) ;
  • 황승언 (국립기상과학원 기후연구부) ;
  • 김성수 (기상청 국가태풍센터) ;
  • 오임용 (항공기상청 제주공항기상대) ;
  • 함동주 (기상청 국가태풍센터)
  • Received : 2022.08.22
  • Accepted : 2022.11.14
  • Published : 2022.12.31
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Abstract

The Korea Meteorological Administration (KMA) National Typhoon Center has been officially releasing reanalyzed best tracks for the previous year's northwest Pacific typhoons since 2015. However, while most typhoon researchers are aware of the data released by other institutions, such as the Joint Typhoon Warning Center (JTWC) and the Regional Specialized Meteorological Center (RSMC) Tokyo, they are often unfamiliar with the KMA products. In this technical note, we describe the best track data released by KMA, and the algorithms that are used to generate it. We hope that this will increase the usefulness of the data to typhoon researchers, and help raise awareness of the product. The best track reanalysis process is initiated when the necessary database of observations-which includes satellite, synoptic, ocean, and radar observations-has become complete for the required year. Three categories of best track information-position (track), intensity (maximum sustained winds and central pressure), and size (radii of high-wind areas)-are estimated based on scientific processes. These estimates are then examined by typhoon forecasters and other internal and external experts, and issued as an official product when final approval has been given.

Keywords

Acknowledgement

이 연구는 기상청 국가태풍센터 「태풍 분석 및 예측기술개발」(KMA2018-00722) 및 국립기상과학원 「기후예측 현업시스템 개발」(KMA2018-00322)의 지원으로 수행되었습니다.

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