FY-4A温度廓线和融合海温数据协同同化的海雾模拟效果分析

利用CODAS实况融合海温和FY-4A温度廓线资料协同同化的方法，尝试改进WRF模式在黄渤海区域的海雾数值模拟效果。分析结果显示，高时空分辨率的CODAS海温显著改善了WRF模式对黄渤海区域海雾模拟性能，模拟雾区范围及强度相比FNL海温模拟结果更接近实况。通过分析雾区各类要素相对海温变化的敏感度，明确了2m气温及比湿，以及海气界面感热、潜热和水汽通量与海温呈现不同程度的正相关，而液态水含量则与海温呈显著负相关。同时，协同同化FY-4A廓线资料可优化WRF模式边界层内湿度及风速垂直分布，改善雾区水汽输送及液态水含量。FY-4A廓线资料和CODAS海温的协同同化能更好地模拟出雾区气象要素的中尺度分布特征，表明高精度和高分辨率的海洋实况资料有利于改善黄渤海区域海雾数值模拟效果。

Coordinate Influence of FY-4A Temperature Profiles and Fusion SST Data on the Sea Fog Simulation

The paper discusses the coordinate influence of CODAS-SST and the assimilated FY-4A temperature profiles on sea fog simulation with WRF model around the Yellow-Bohai Sea. The analyses show that the high-resolution CODAS-SST can significantly improve the results of sea fog simulation with WRF model around the Yellow-Bohai Sea, which makes the range and intensity of simulated fog more reasonable. By analyzing the sensitivity of various elements in the foggy area to change in SST, we have clarified that the 2 m temperature and specific humidity, as well as the sensible heat, latent heat, and water vapor fluxes at the sea-air interface, exhibit varying degrees of positive correlation with SST, while the liquid water content shows a significant negative correlation with SST. The assimilation of FY-4A vertical sounding data can further optimize the vertical distribution of specific humidity and wind speed in the boundary layer of WRF model, improving the vapor transport and liquid water content. Therefore, the coordinate assimilation of FY-4A vertical sounding data and CODAS-SST can better simulate the mesoscale characteristics of fog area, which indicates the high-precision and high-resolution ocean observation data are beneficial for improving the numerical simulation capability of sea fog.