基于第二版本HOAPS(Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite data)潜热、感热和海表温度(SST)3个参量的15a(1988-2002年)逐月平均资料,利用经验正交方法分解分析了这3个参量在南海的时空分布.结果表明,在夏季模态,潜热表现为南高北低,感热表现为中间低两边高,两者主要都是海洋向大气输送热量,但大气有时也向南海中部输送感热;在冬季模态,潜热和感热的高值区都在南海北部,东北部有一强中心,该中心主要是由风场引起的;夏季SST的变化导致全年SST呈准半年周期变化.冬季SST的变化滞后于潜热变化1个月;除夏季和冬季模态外,冬夏转换季节模态也十分明显;HOAPS与NCEP(National Center of Environment Prediction)资料相比,两者3个参量的时空分布大体一致,区别在于HOAPS资料能更好地反映参量的一些细微特征.
Based on monthly data of the second version of Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite data (HOAPS) from 1988 to 2002, the temporal and spatial variability of potential heat, sensible heat and sea surface temperature (SST) of South China Sea (SCS) has been analyzed by the EOF(Empirical Orthogonal Function) method. The results show: in summer, the potential heat in northern SCS is larger than the southern SCS, and the sensible heat in middle SCS is smaller than the other regimes. The ocean almost transport the potential heat and sensible heat into the atmosphere while the atmosphere transport the sensible heat to the ocean sometimes; In winter, both the potential and sensible heat is high in the northern SCS. There exists a high potential and sensible heat core in northeastern SCS which is mainly caused by the wind field; The SST has a half annual variability because there is a cold water in summer, and the SST lags behind the potential heat by about one month in winter; Except the summer and the winter mode, the transition mode from winter to summer is also significant; Compare the HOAPS data to the National Center of Environment Prediction (NCEP) Data, the temporal and spatial variability of potential heat, sensible heat and sea surface temperature bear much resemblance, and HOAPS data can describe higher resolution spatial characters of these air sea flux than NCEP data.