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대기 = Atmosphere v.28 no.2, 2018년, pp.163 - 174   KCI
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

국지예보모델에서 고해상도 마이크로파 위성자료(MHS) 동화에 관한 연구
A Study on the Assimilation of High-Resolution Microwave Humidity Sounder Data for Convective Scale Model at KMA

김혜영   (기상청 수치모델링센터  ); 이은희   (기상청 수치모델링센터  ); 이승우   (기상청 수치모델링센터  ); 이용희   (기상청 수치모델링센터  );
  • 초록

    In order to assimilate MHS satellite data into the convective scale model at KMA, ATOVS data are reprocessed to utilize the original high-resolution data. And then to improve the preprocessing experiments for cloud detection were performed and optimized to convective-scale model. The experiment which is land scattering index technique added to Observational Processing System to remove contaminated data showed the best result. The analysis fields with assimilation of MHS are verified against with ECMWF analysis fields and fit to other observations including Sonde, which shows improved results on relative humidity fields at sensitive level (850-300 hPa). As the relative humidity of upper troposphere increases, the bias and RMSE of geopotential height are decreased. This improved initial field has a very positive effect on the forecast performance of the model. According to improvement of model field, the Equitable Threat Score (ETS) of precipitation prediction of $1{\sim}20mm\;hr^{-1}$ was increased and this impact was maintained for 27 hours during experiment periods.


  • 주제어

    Microwave satellite data .   convective scale model .   data assimilation .   cloud detection .   MHS.  

  • 참고문헌 (26)

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