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Polarized scattering from random clusters of spatially-oriented, non-spherical scatterers

机译:来自空间定向的非球形散射体的随机簇的偏振散射

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Identification of atmospheric precipitation and different Earth surfaces and algorithms of the parameter retrieval have been extensively studied during the course of SSM/I calibration/validation effort. However, we have found that some conventional algorithms are not valid in many applications due to their empirical restriction. We have developed the vector radiative transfer modeling at SSM/I channels for Earth surfaces such as snow/vegetation, rough sea surface, scattering media of sea ice, etc., and derived several new algorithms from theoretical simulations to invert some parameters from SSM/I data. Our retrieval results and analysis are well compared with the ground truth data measurements.
机译:在SSM / I校准/验证工作过程中,已经广泛研究了大气降水和不同地球表面的识别以及参数检索算法。但是,我们发现一些常规算法由于其经验限制而在许多应用中无效。我们针对雪/植被,粗糙海面,海冰散射介质等地球表面,在SSM / I通道上开发了矢量辐射传输模型,并从理论模拟中推导了几种新算法,以对SSM /我数据。我们的检索结果和分析结果与地面真实数据测量结果进行了很好的比较。

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