It is necessary to evaluate satellite sea surface salinity (SSS) L3 products prior to using them to analyze SSS variability. Instead of performing comparison analysis on the accuracy of products (e.g., Root Mean Square Deviation (RMSD)), two new evaluation methods, information entropy and local variance, are introduced to assess the performance of satellite SSS products in resolving SSS fronts in the tropical Pacific from a new perspective. The satellite SSS except for SMOS BEC has captured the zonal displacement of SSS fronts under the strong El Niño in 2015. It is effective to use entropy and local variance for the assessment of the capability of satellite SSS products, which can provide new sights for analyzing the variability and distributions of SSS. The spatial distribution of local variance identified the abnormal SSS of the satellite products on or near the islands and the result of SSS entropy is beneficial to the analysis of the mechanisms of the SSS variability. In general, the SMOS CATDS and SMAP_70 km product is recommended for scientific applications in the tropical Pacific.

中文翻译：

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现象分辨评估方法在卫星海面盐度产品中的应用

在使用卫星海面盐度 (SSS) L3 产品分析 SSS 变异性之前，有必要对其进行评估。不再对产品精度（如均方根偏差（RMSD））进行比较分析，而是引入信息熵和局部方差两种新的评估方法来评估卫星SSS产品在解决热带地区SSS锋面方面的性能。从新的角度看太平洋。除SMOS BEC外的卫星SSS已经捕捉到了2015年强厄尔尼诺现象下SSS锋面的纬向位移，利用熵和局部方差对卫星SSS产品的能力进行评估是有效的，可以为分析提供新的视角。 SSS 的变异性和分布。局部方差的空间分布识别了岛屿上或附近卫星产品的异常SSS，SSS熵的结果有利于分析SSS变异的机制。一般来说，SMOS CATDS 和 SMAP_70 km 产品推荐用于热带太平洋的科学应用。