Conflict analysis of multi-source SST distribution

This article focuses on evaluating the quality of sea surface temperature (SST) observed by satellite remote sensing. Due to the Grubbs test’s limitations [1] when analyzing multi-source satellites SST, an improved algorithm is proposed, which is found to be more effective than the traditional variance method when quantifying the differences and conflicts of SST. And the improved method is applied in SST product in East China Sea waters for the year 2006: confirming a set of highly consistent points, finding and eliminating outlying data, digging out abnormal waters, and providing references for the subsequent researchers to evaluate the quality of marine information.