中文摘要：

验证的导出卫星的海表面温度(SST ) 广泛地被使用气候监视和海洋数据吸收系统。在这研究， Fengyun-3A (FY-3A ) SST 试验性的产品用合并的先进很高的分辨率辐射计(AVHRR ) 并且在 situ SST 被评估。合并 AVHRR 的 SST 的比较在大多数热带和平、低纬度的印第安人和大西洋在 FY-3A SST 揭示超过 2 K 的否定偏爱。FY-3A SST 的错误变化用三路的错误分析被估计。FY-3A SST 在太平洋与 2.2 K 的一个最大的错误变化在全球海洋显示出地区性的错误变化。另外，错误变化的一个重要季节的变化在 FY-3A SST 是在场的，它显示 FY-3A SST 的质量能被在 SST 检索算法调整参数并且由使用地区性、季节的算法改进，特别地在象热带太平洋那样的关键区域。一个客观分析方法被用来把 FY-3A SST 与流浪者浮标数据合并。FY-3A SST 的错误被减少到从 GTSPP 与 SST 观察作比较的 0.45K。

英文摘要：

Validated satellite-derived sea surface tem- peratures （SSTs） are widely used for climate monitoring and ocean data assimilation systems. In this study, the Fengyun-3A （FY-3A） SST experimental product is evalu- ated using Advanced Very High Resolution Radiometer （AVHRR）-merged and in situ SSTs. A comparison of AVHRR-merged SSTs reveals a negative bias of more than 2 K in FY-3A SSTs in most of the tropical Pacific and low-latitude Indian and Atlantic Oceans. The error variance of FY-3A SSTs is estimated using three-way er- ror analysis. FY-3A SSTs show regional error variance in global oceans with a maximum error variance of 2.2 K in the Pacific Ocean. In addition, a significant seasonal variation of error variance is present in FY-3A SSTs, which indicates that the quality of FY-3A SST could be improved by adjusting the parameters in the SST retrieval algorithm and by applying regional and seasonal algo- rithms, particularly in key areas such as the tropical Pa- cific Ocean. An objective analysis method is used to merge FY-3A SSTs with the drifter buoy data. The errors of FY-3A SSTs are decreased to -0.45K comparing with SST observations from GTSPP.