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Possibilities of warm cloud microstructure profiling with multiple-field-of-view Raman lidar

机译:使用多视场拉曼激光雷达进行热云微观结构分析的可能性

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摘要

The possibilities of cloud characteristics retrieval with multiple-field-of-view Raman lidar are considered. It has been shown that the Raman lidar return is sensitive to two cloud characteristics; the scattering coefficient and the effective droplet size. This sensitivity is studied and the optimal receiver fields-of-view (FOVs) for cloud sounding are recommended. The optimal FOV values are estimated to be approximately R/H (R, the collecting optics radius, H, the cloud altitude) to measure the scattering coefficient profiles, and approx0.01z/H for the droplet size measurements (z, the cloud thickness). The algorithm based on the iterative scheme and singular value decomposition as a regularization procedure is presented and verified using computer simulation. The recommendations for profile retrieval with variable altitude resolution are given.
机译:考虑了使用多视场拉曼激光雷达进行云特征检索的可能性。已经表明,拉曼激光雷达的回波对两个云特征很敏感。散射系数和有效液滴尺寸。研究了这种灵敏度,并推荐了用于云探测的最佳接收器视场(FOV)。最佳FOV值估计约为R / H(R,收集光学元件半径,H,云层高度)以测量散射系数曲线,对于液滴尺寸测量(z,云层厚度)约为0.01z / H )。提出了基于迭代方案和奇异值分解作为正则化程序的算法,并通过计算机仿真对其进行了验证。给出了具有可变高度分辨率的轮廓检索的建议。

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