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Korean Meteorological Society (한국기상학회)
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A Study on Improvement of the Use and Quality Control for New GNSS RO Satellite Data in Korean Integrated Model

한국형모델의 신규 GNSS RO 자료 활용과 품질검사 개선에 관한 연구

  • Kim, Eun-Hee (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Jo, Youngsoon (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Lee, Eunhee (Numerical Modeling Center, Korea Meteorological Administration) ;
  • Lee, Yong Hee (High Impact Weather Research Department, National Institute of Meteorological Sciences, Korea Meteorological Administration)
  • 김은희 (수치모델링센터 수치자료응용과) ;
  • 조영순 (수치모델링센터 수치자료응용과) ;
  • 이은희 (수치모델링센터 수치자료응용과) ;
  • 이용희 (국립기상과학원 재해기상연구부)
  • Received : 2021.02.08
  • Accepted : 2021.07.16
  • Published : 2021.09.30
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Abstract

This study examined the impact of assimilating the bending angle (BA) obtained via the global navigation satellite system radio occultation (GNSS RO) of the three new satellites (KOMPSAT-5, FY-3C, and FY-3D) on analyses and forecasts of a numerical weather prediction model. Numerical data assimilation experiments were performed using a three-dimensional variational data assimilation system in the Korean Integrated Model (KIM) at a 25-km horizontal resolution for August 2019. Three experiments were designed to select the height and quality control thresholds using the data. A comparison of the data with an analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) integrated forecast system showed a clear positive impact of BA assimilation in the Southern Hemisphere tropospheric temperature and stratospheric wind compared with that without the assimilation of the three new satellites. The impact of new data in the upper atmosphere was compared with observations using the infrared atmospheric sounding interferometer (IASI). Overall, high volume GNSS RO data helps reduce the RMSE quantitatively in analytical and predictive fields. The analysis and forecasting performance of the upper temperature and wind were improved in the Southern and Northern Hemispheres.

Keywords

Acknowledgement

본 논문의 개선을 위해 좋은 의견을 제시해 주신 두분의 심사위원께 감사를 드립니다. 이 연구는 수치모델링센터 『수치예보 및 자료응용 기술개발(KMA2018-00721)』 과제의 일환으로 수행되었습니다.

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