대기-해양 결합모델을 이용한 서해안 지역 국지기상 영향 연구: 예측성능 평가 및 자료동화 효과

Abstract

In this study, the analysis of meteorogical predictions performance and data assimilation (WRFDA, DA) on the meteorological prediction in the west coast of Korea was evaluated using a coupled atmoshere-ocean model (e.g., COAWST) in the winter (January 16-25) and spring (March 17-26) of 2019. We performed two sets of simulation experiments: (1) with the coupled (i.e., COAWST) and without the coupled (i.e., WRF and ROMS), (2) the coupled data assimilations (i.e., COAWST_WRFDA, COAWST_DA), and without the coupled data assimilation (i,e., COAWST_BASE). Overall, compared with the WRF and ROMS simulation, the COAWST simulation showed good agreement in the spatial and temporal variations of meteorological variables (sea surface temperature, air temperature and wind speed) with those of the observations, but other variable (relative humidity) was opposited result. To improve this result (relative humidity), an additional data assimilation experiment was conducted, finally the COAWST_DA simulation showed the most improved numerical simulation results. This might be primarily due to the prediction improvement of the sea surfcae 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 sea surface temperature and other meteorological variables (sea surface wind speed).