대기 (Atmosphere)

  • 제23권4호
  • /
  • Pages.453-470
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  • 2013
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  • 1598-3560(pISSN)
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  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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KIAPS 관측자료 처리시스템에서의 AMSU-A 위성자료 초기 전처리와 편향보정 모듈 개발

Development of Pre-Processing and Bias Correction Modules for AMSU-A Satellite Data in the KIAPS Observation Processing System

  • 이시혜 (한국형수치예보모델개발사업단) ;
  • 김주혜 (한국형수치예보모델개발사업단) ;
  • 강전호 (한국형수치예보모델개발사업단) ;
  • 전형욱 (한국형수치예보모델개발사업단)
  • Lee, Sihye (Korea Institute of Atmospheric Prediction Systems (KIAPS)) ;
  • Kim, Ju-Hye (Korea Institute of Atmospheric Prediction Systems (KIAPS)) ;
  • Kang, Jeon-Ho (Korea Institute of Atmospheric Prediction Systems (KIAPS)) ;
  • Chun, Hyoung-Wook (Korea Institute of Atmospheric Prediction Systems (KIAPS))
  • 투고 : 2013.10.01
  • 심사 : 2013.11.29
  • 발행 : 2013.12.31
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초록

As a part of the KIAPS Observation Processing System (KOPS), we have developed the modules of satellite radiance data pre-processing and quality control, which include observation operators to interpolate model state variables into radiances in observation space. AMSU-A (Advanced Microwave Sounding Unit-A) level-1d radiance data have been extracted using the BUFR (Binary Universal Form for the Representation of meteorological data) decoder and a first guess has been calculated with RTTOV (Radiative Transfer for TIROS Operational Vertical Sounder) version 10.2. For initial quality checks, the pixels contaminated by large amounts of cloud liquid water, heavy precipitation, and sea ice have been removed. Channels for assimilation, rejection, or monitoring have been respectively selected for different surface types since the errors from the skin temperature are caused by inaccurate surface emissivity. Correcting the bias caused by errors in the instruments and radiative transfer model is crucial in radiance data pre-processing. We have developed bias correction modules in two steps based on 30-day innovation statistics (observed radiance minus background; O-B). The scan bias correction has been calculated individually for each channel, satellite, and scan position. Then a multiple linear regression of the scan-bias-corrected innovations with several predictors has been employed to correct the airmass bias.

키워드

참고문헌

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피인용 문헌

  1. A Comparison of Observed and Simulated Brightness Temperatures from Two Radiative Transfer Models of RTTOV and CRTM vol.35, pp.1, 2014, https://doi.org/10.5467/JKESS.2014.35.1.19