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Soil Moisture and Ocean Salinity(SMOS) Level 3(L3) sea surface salinity(SSS) products are provided by the Barcelona Expert Centre(BEC). Strong biases were observed on the SMOS SSS products, thus the data from the Centre Aval de Traitement des Données SMOS(CATDS) were adjusted for biases using a large-scale correction derived from observed differences between the SMOS SSS and World Ocean Atlas(WOA) climatology data. However, this large-scale correction method is not suitable for correcting the large gradient of salinity biases. Here, we present a method for the correction of SSS regional bias of the monthly L3 products. Based on the stable characteristics of the large SSS biases from month to month in some regions, corrected SMOS SSS maps can be obtained from the monthly mean values after removing the regional biases. The accuracy of the SMOS SSS measurements is greatly improved, especially near the coastline, at high latitudes, and in some open ocean regions. The SMOS and ISAS SSS data are also compared with Aquarius SSS to verify the corrected SMOS SSS data. The correction method presented here only corrects annual mean biases. The measurement accuracy of the SSS may be improved by considering the influence of atmospheric and ocean circulation in different seasons and years. 相似文献
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面目标微波辐射特性实验模型 总被引:3,自引:0,他引:3
提出了一种面目标微波辐射特性实验模型 (经验公式 )的建立方法 :由测得目标的天线温度经反演得到目标的视在温度、剔除天空引起的散射辐射温度后得到目标的亮度温度 ,再对亮度温度数据进行最小二乘拟合得到亮度温度的经验公式。用该方法建立的水面亮度温度的实验模型与水面亮度温度的半经验公式(理论模型 )相比较 ,结果显示在测量所覆盖的水面表面温度范围 ( 4— 35℃ )和测量角度 2 0°— 6 5°内 ,两者很接近。并给出了用该方法建立的混凝土路、沥青路和碎石路的微波辐射特性实验模型。 相似文献
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