대기 (Atmosphere)

  • 제30권4호
  • /
  • Pages.319-333
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  • 2020
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  • 1598-3560(pISSN)
  • /
  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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한국형모델의 항공기 관측 온도의 정적 편차 보정 연구

A Study of Static Bias Correction for Temperature of Aircraft based Observations in the Korean Integrated Model

  • 최다영 (기상청 수치모델링센터 수치자료응용과) ;
  • 하지현 (기상청 수치모델링센터 수치자료응용과) ;
  • 황윤정 (기상청 수치모델링센터 수치자료응용과) ;
  • 강전호 ((재) 차세대수치예보모델개발사업단) ;
  • 이용희 (기상청 수치모델링센터 수치자료응용과)
  • Choi, Dayoung (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Ha, Ji-Hyun (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Hwang, Yoon-Jeong (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Kang, Jeon-ho (Korea Institute of Atmospheric Prediction Systems) ;
  • Lee, Yong Hee (Numerical Modeling Center, Korea Meteorological Administration)
  • 투고 : 2020.06.19
  • 심사 : 2020.11.18
  • 발행 : 2020.12.31
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초록

Aircraft observations constitute one of the major sources of temperature observations which provide three-dimensional information. But it is well known that the aircraft temperature data have warm bias against sonde observation data, and therefore, the correction of aircraft temperature bias is important to improve the model performance. In this study, the algorithm of the bias correction modified from operational KMA (Korea Meteorological Administration) global model is adopted in the preprocessing of aircraft observations, and the effect of the bias correction of aircraft temperature is investigated by conducting the two experiments. The assimilation with the bias correction showed better consistency in the analysis-forecast cycle in terms of the differences between observations (radiosonde and GPSRO (Global Positioning System Radio Occultation)) and 6h forecast. This resulted in an improved forecasting skill level of the mid-level temperature and geopotential height in terms of the root-mean-square error. It was noted that the benefits of the correction of aircraft temperature bias was the upper-level temperature in the midlatitudes, and this affected various parameters (winds, geopotential height) via the model dynamics.

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과제정보

이 연구는 수치모델링센터 『수치예보 및 자료응용기술개발(KMA2018-00721)』 과제의 일환으로 수행되었습니다.

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