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利用星载微波辐射计对全球海表盐度的卫星遥感探测,其精度会受到多种环境因子的影响。采用广义加性模型GAM和偏最小二乘法PLS分析了水温对海表盐度遥感反演精度的影响,同时,利用ARGO观测数据对SMOS卫星反演的赤道太平洋和西北太平洋海表盐度进行精度检验。结果表明,水温对海表盐度反演精度具有显著影响,且Stokes矢量第一参数(总辐亮度)是海表盐度反演的最佳亮温参数。在平均水温约16℃时的均方误差约为0.9 psu,23℃水温下的均方误差约为0.7 psu,30℃水温下的均方误差约为0.4 psu,即高水温下盐度反演精度相对较高。
The satellite remote sensing detection of the global sea surface salinity by using the spaceborne microwave radiometer will be affected by many environmental factors. The effects of water temperature on the remote sensing retrieval accuracy of sea surface salinity were analyzed by generalized additive model (GAM) and partial least squares (PLS) PLS. At the same time, the precision of sea surface salinity measured by SMOS satellite in the equatorial Pacific Ocean and Northwest Pacific Ocean test. The results show that the water temperature has a significant effect on the accuracy of sea surface salinity retrieval, and the first parameter (total radiance) of Stokes vector is the best brightness temperature parameter of sea surface salinity inversion. The mean square error at average water temperature of about 16 ℃ is about 0.9 psu, the mean square error at 23 ℃ is about 0.7 psu, and the mean square error at 30 ℃ is about 0.4 psu, ie salinity inversion at high water temperature Accuracy is relatively high.