中文摘要：

在华南海 Xisha 岛与在 Yong Xing 的一个全球 GSSTF2 和 NCEP/NCAR 分析数据库和观察数据驻扎，我们在中国、附近的海在海面模仿了狂暴的理智、潜伏的热流动(此后作为 Chinaseas 称为)与一些使用一个普通体积方法改进了参数。把模仿的结果与作比较观察并且重新分析的数据，改进在大约 25% 点产出更高的精确性，在 10 W/m~2 以内的更小的均方差，和更小的平均相对误差。另外，空间分辨率被改进到 0.1 ~ ° x 0.1 ~ °。模拟能重放主要特征地区性并且在狂暴的热流动的季节变异，并且也，热流动的一般模式在华南海在夏季风爆发期间变化。

英文摘要：

With a global GSSTF2 and NCEP/NCAR reanalysis database and observation data at the Yong Xing station of Xisha Island in the South China Sea, we simulated the turbulent sensible and latent heat flux at sea surface in Chinese and neighboring seas （hereafter termed as China seas） using a common bulk method with some improved parameters. Comparing the simulated results with the observed and reanalyzed data, the improvement yielded higher accuracy, a smaller mean square deviation within 10 W/m^2, and a smaller average relative error at about 25%. In addition, spatial resolution was improved to 0.1°×0.1°. The simulation is able to replay the main features of regional and seasonal variation in turbulent heat fluxes, and also the general pattern of heat flux changes during the summer monsoon outbreak in the South China Sea.