基于D-S理论的卫星遥感海表面温度和同化数据融合方法

Method of fusing the data reversed from satellite remote-sensing with the assimilation data for sea surface temperature based on D-S theory

利用卫星遥感获取海表面温度实时性强,但其数据质量随大气环境而波动;利用同化技术求解的海表面温度局部精度高,但覆盖面与实时性差.鉴于两种技术适应不同情况,拟使用信息融合技术实现两者优势互补,即根据各自的优势和局限性对数据点进行一致性评价和加权融合计算,在提高精度的同时对结果的不确定性进行量化和评价.以我国东部海域海表温度为例的采样试验结果表明,融合法更适应复杂的环境.

To get sea surface temperature by remote-sensing has high real-timeliness, but the data quality varies with the atmospheric environment. To solve sea surface temperature by the assimilation technology has high local precision, but the coverage and real-timeliness are poor. As the two technologies suit to different situations, it is proposed to apply the data fusing technology so that the two technologies can complement each other with their respective advantages, i.e., can carry out consistence evaluation and weighted fusing calculation of the data-points according to their respective advantages and limitations. While the precision is improved, the result’s uncertainty is quantified and evaluated. The results of the sampling test taking the China’s eastern sea area as an example show that the fusing method fits the complex environment better.