The effect of coupled data assimilation (DA) on the meteorological prediction in the west coastal region of Korea was evaluated using a coupled atmosphere-ocean model (e.g., COAWST) in the spring (March 17􎂡26) of 2019. We performed two sets of simulation experiments: (1) with the coupled DA (i.e., COAWST_DA) and (2) without the coupled DA (i.e., COAWST_BASE). Overall, compared with the COAWST_BASE simulation, the COAWST_DA simulation showed good agreement in the spatial and temporal variations of meteorological variables (sea surface temperature, air temperature, wind speed, and relative humidity) with those of the observations. In particular, the effect of the coupled DA on wind speed was greatly improved. This might be primarily due to the prediction improvement of the sea surface temperature resulting from the coupled DA in the study area. In addition, the improvement of meteorological prediction in COAWST_DA simulation was also confirmed by the comparative analysis between SST and other meteorological variables (sea surface wind speed and pressure variation).

Abstract
1. 서 론
2. 재료 및 방법
    2.1. 대상지역, 자료 및 방법
    2.2. 모델 구성 및 입력자료
3. 결과 및 고찰
    3.1. 대기-해양 결합 자료동화에 따른 해양기상 변화 분석
    3.2. 연안 국지기상에 미치는 결합 자료동화의 효과
4. 결 론
감사의 글
REFERENCES

• 이성빈(제주대학교 지구해양융합학부 지구해양전공) | Sung-Bin Lee (Faculty of Earth and Marine Convergence/Earth and Marine Science Major, Jeju National University, Jeju 63243, Korea)
• 송상근(제주대학교 지구해양과학과) | Sang-Keun Song (Department of Earth and Marine Sciences, Jeju National University, Jeju 63243, Korea) Corresponding author
• 문수환(제주대학교 지구해양융합학부 지구해양전공) | Soo-Hwan Moon (Faculty of Earth and Marine Convergence/Earth and Marine Science Major, Jeju National University, Jeju 63243, Korea)