| Development of the Three-Dimensional Variational Data Assimilation System for the Republic of Korea Air Force Operational Numerical Weather Prediction System |
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Kyoungjo Noh, Hyun Mee Kim, Dae-Hui Kim |
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Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University |
| 공군 현업 수치예보를 위한 삼차원 변분 자료동화 체계 개발 연구 |
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노경조, 김현미, 김대휘 |
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연세대학교 대기과학과, 대기예측성 및 자료동화 연구실 |
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| Abstract |
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In this study, a three-dimensional variational(3DVAR) data assimilation system was developed for the operational numerical weather prediction(NWP) system at the Republic of Korea Air Force Weather Group. The Air Force NWP system utilizes the Weather Research and Forecasting(WRF) meso-scale regional model to provide weather information for the military service. Thus, the data assimilation system was developed based on the WRF model. Experiments were conducted to identify the nested model domain to assimilate observations and the period appropriate in estimating the background error covariance(BEC) in 3DVAR. The assimilation of observations in domain 2 is beneficial to improve 24-h forecasts in domain 3. The 24-h forecast performance does not change much depending on the estimation period of the BEC in 3DVAR. The results of this study provide a basis to establish the operational data assimilation system for the Republic of Korea Air Force Weather Group. |
| Key Words:
Air Force Operational Numerical Weather Prediction System, WRF 3DVAR, Background Error Covariance |
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