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首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >Tomographic Reconstruction of Internal Structure of Severe Convective Clouds from Microwaves
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Tomographic Reconstruction of Internal Structure of Severe Convective Clouds from Microwaves

机译：微波对重对流云内部结构的层析成像重建

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摘要

A method for retrieving liquid water content fields in convective clouds is considered. It is based on a combined microwave radiometric and radar sounding of clouds using Neural Networks (NNs) and Computer Tomography (CT). A sounding scheme, which can be realized in practice is proposed. The sounding according to this scheme is conducted from an aircraft flying above a studied cloud located above a water surface. It needs to note that a simplified task is considered as the first step in solving the problem. Models of clouds without both precipitation and complicated microphysics, such as Cumulus and Cumulus Congestus and the model of calm sea surface are used for solving the problem by numerical simulation. Four various CT-techniques are tested in this study for searching an optimal technique. Potentialities of the said method are assessed using a closed scheme of numerical experiment. The result of this experiment and a comparison of the four chosen techniques are presented.
机译：考虑了一种用于获取对流云中液态水含量场的方法。它基于结合了神经网络（NN）和计算机断层扫描（CT）的微波辐射测量和雷达对云的探测。提出了一种可以在实践中实现的探测方案。根据该方案的探测是从飞行在水面以上的研究云层上方飞行的飞机进行的。需要注意的是，简化的任务被认为是解决问题的第一步。通过数值模拟，使用了既没有降水又没有复杂的微观物理的云模型（如积云和积云）以及平静海面模型。在这项研究中测试了四种不同的CT技术以寻找最佳技术。所述方法的潜力使用数字实验的封闭方案进行评估。给出了该实验的结果以及四种所选技术的比较。

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