Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Study on the Impact of Various Observations Data Assimilation on the Meteorological Predictions over Eastern Part of the Korean Peninsula

관측자료별 자료동화 성능이 한반도 동부 지역 기상 예보에 미치는 영향 분석 연구

  • Kim, Ji-Seon (Department of Earth Science, Pusan National University) ;
  • Lee, Soon-Hwan (Department of Earth Science Education, Pusan National University) ;
  • Sohn, Keon-Tae (Department of Statistics, Pusan National University)
  • 김지선 (부산대학교 지구과학과) ;
  • 이순환 (부산대학교 지구과학교육과) ;
  • 손건태 (부산대학교 통계학과)
  • Received : 2018.10.23
  • Accepted : 2018.11.23
  • Published : 2018.11.30
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Abstract

Numerical experiments were carried out to investigate the effect of data assimilation of observational data on weather and PM (particulate matter) prediction. Observational data applied to numerical experiment are aircraft observation, satellite observation, upper level observation, and AWS (automatic weather system) data. In the case of grid nudging, the prediction performance of the meteorological field is largely improved compared with the case without data assimilations because the overall pressure distribution can be changed. So grid nudging effect can be significant when synoptic weather pattern strongly affects Korean Peninsula. Predictability of meteorological factors can be expected to improve through a number of observational data assimilation, but data assimilation by single data often occurred to be less predictive than without data assimilation. Variation of air pressure due to observation nudging with high prediction efficiency can improve prediction accuracy of whole model domain. However, in areas with complex terrain such as the eastern part of the Korean peninsula, the improvement due to grid nudging were only limited. In such cases, it would be more effective to aggregate assimilated data.

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References

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