摘要
海表面亮温是反演海表面盐度的关键。从不同海表面亮温参数与海表面盐度的关系入手,利用2014年7月8日西北太平洋区域SMOS(Soil Moisture and Ocean Salinity)卫星L1C数据和Argo实测盐度数据,使用数据拟合、显著性检验、偏相关分析和广义相加模型等方法,分析了海表面盐度SSS(Sea Surface Salinity)与SMOS卫星不同极化方式和不同入射角亮温参数的相互关系,并得到以下结论:水平极化亮温、垂直极化亮温、第一斯托克斯参数和第二斯托克斯参数4种亮温参数与入射角具有较强的相关性,水平极化亮温、第一斯托克斯参数与海表面盐度相关性较好,其中12.5°第一斯托克斯参数为反演海表面盐度的最佳亮温参数。
Sea surface brightness temperature is the key to the sea surface salinity inversion. Starting from the relationship between the different sea surface brightness temperature parameters and sea surface salinity,the paper analyzes the relationship between the sea surface salinity with SMOS satellite in different ways and incident polarized brightness temperature parameters from data fitting, significance test, partial correlation analysis and generalized additive models, using the L1C data of SMOS satellite and Argo salinity data in the Northwest Pacific region on July 8,2014. And obtained the following conclusions: there are strong correlation between the incidence angle with horizontally polarized brightness temperature, vertically polarized brightness temperature, the first Stokes parameters and the second Stokes parameters of four brightness temperature parameters. And the horizontally polarized brightness temperature and the first Stokes parameters have good correlation with sea surface salinity. 12.5 o incidence angle of the first Stokes parameter is the best brightness temperature parameters of the sea surface salinity inversion.
出处
《遥感技术与应用》
CSCD
北大核心
2016年第1期143-148,共6页
Remote Sensing Technology and Application
基金
电磁波信息科学教育部重点实验室开放基金(EMW201501)
海洋赤潮灾害立体监测技术与应用国家海洋局重点实验室重点基金(201401)
关键词
SMOS
亮温
盐度
卫星
海表面
SMOS Brightness temperature Salinity Satellite Sea surface