대기 (Atmosphere)

  • 제25권2호
  • /
  • Pages.367-374
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  • 2015
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  • 1598-3560(pISSN)
  • /
  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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기상청 고해상도 지역예보모델을 이용한 한반도 영역 한국형 항공난류 예측시스템(한반도-KTG) 개발

Development of the Korean Peninsula-Korean Aviation Turbulence Guidance (KP-KTG) System Using the Local Data Assimilation and Prediction System (LDAPS) of the Korea Meteorological Administration (KMA)

  • Lee, Dan-Bi (Department of Atmospheric Sciences, Yonsei University) ;
  • Chun, Hye-Yeong (Department of Atmospheric Sciences, Yonsei University)
  • 투고 : 2015.01.26
  • 심사 : 2015.02.04
  • 발행 : 2015.06.30
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초록

Korean Peninsula has high potential for occurrence of aviation turbulence. A Korean aviation Turbulence Guidance (KTG) system focused on the Korean Peninsula, named Korean-Peninsula KTG (KP-KTG) system, is developed using the high resolution (horizontal grid spacing of 1.5 km) Local Data Assimilation and Prediction System (LDAPS) of the Korea Meteorological Administration (KMA). The KP-KTG system is constructed first by selection of 15 best diagnostics of aviation turbulence using the method of probability of detection (POD) with pilot reports (PIREPs) and the LDAPS analysis data. The 15 best diagnostics are combined into an ensemble KTG predictor, named KP-KTG, with their weighting scores computed by the values of area under curve (AUC) of each diagnostics. The performance of the KP-KTG, represented by AUC, is larger than 0.84 in the recent two years (June 2012~May 2014), which is very good considering relatively small number of PIREPs. The KP-KTG can provide localized turbulence forecasting in Korean Peninsula, and its skill score is as good as that of the operational-KTG conducting in East Asia.

키워드

참고문헌

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피인용 문헌

  1. Aviation turbulence encounters detected from aircraft observations: spatiotemporal characteristics and application to Korean Aviation Turbulence Guidance vol.23, pp.4, 2016, https://doi.org/10.1002/met.1581
  2. A Numerical Study of Aviation Turbulence Encountered on 13 February 2013 over the Yellow Sea between China and the Korean Peninsula vol.57, pp.4, 2018, https://doi.org/10.1175/JAMC-D-17-0247.1
  3. Development of Near-Cloud Turbulence Diagnostics Based on a Convective Gravity Wave Drag Parameterization vol.58, pp.8, 2019, https://doi.org/10.1175/JAMC-D-18-0300.1