采用Argo浮标表层数据评估了Aquarius/SAC-D卫星L2盐度数据在中国南海的准确度，并进行局地化影响因素分析。结果表明，匹配数据的线性关系并不显著，卫星数据在南海及其东北部海域的准确度分别为0.62‰和0.70‰。南海处于低纬度地区，海表温度较高，对结果影响较小，影响数据准确度的因素可能是该海域的强风场、降雨和陆地射频干扰(RFI)等。从分析结果可以看出盐度反演误差随风速增大而增大，风速大于7m·s−1时，盐度反演误差会呈明显上升趋势，可见海表面粗糙度对数据准确度影响很大；同时，南海处在 RFI 高度污染地区，即使卫星数据产品修正了RFI的影响，但并没有完全消除，所以RFI可能也会影响卫星数据的准确度。%This study assesses the accuracy of Aquarius/SAC-D satellite sea surface salinity (SSS) data in the South China Sea using Argo buoy data, and analyzes the influencing factors. The results indicate that the linear relationship of co-located data is not significant. The SSS inversion accuracy in the South China Sea and northeastern waters is 0.62‰and 0.70‰, respectively. Located at low latitude, the sea surface temperature (SST) in the South China Sea is high, which has a small effect on the accuracy. The factors that influence the SSS accuracy may be the strong breeze, rainfall and land radio frequency interference (RFI), etc. The results show that the SSS retrieval error increases with wind speed when the wind speed is greater than 7 m·s−1, and that the error has a clear ascendant trend. Meanwhile, the South China Sea is seriously contaminated by the land RFI. Even if the Aquarius/SAC-D SSS product has corrected the land RFI in its new Version 1.3. The RFI is not eliminated, and may still have an influence on the accuracy.
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