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首页> 外文期刊>Applied optics >PARAMETERIZATION OF CLOUD LIDAR BACKSCATTERING PROFILES BY MEANS OF ASYMMETRICAL GAUSSIANS
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PARAMETERIZATION OF CLOUD LIDAR BACKSCATTERING PROFILES BY MEANS OF ASYMMETRICAL GAUSSIANS

机译：利用非对称高斯方法表征激光散射轮廓。

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摘要

A fitting procedure for cloud lidar data processing is shown that is based on the computation of the first three moments of the vertical-backscattering (or -extinction) profile. Single-peak clouds or single cloud layers are approximated to asymmetrical Gaussians. The algorithm is particularly stable with respect to noise and processing errors, and it is much faster than the equivalent least-squares approach. Multilayer clouds can easily he treated as a sum of single asymmetrical Gaussian peaks. The method is suitable for cloud-shape parametrization in noisy lidar signatures (like those expected from satellite lidars). It also permits an improvement of cloud radiative-property computations that are based on huge lidar data sets for which storage and careful examination of single lidar profiles can't be carried out. [References: 5]
机译：显示了基于垂直反向散射（或消光）剖面的前三个矩的计算的云激光雷达数据处理的拟合过程。单峰云或单云层近似于非对称高斯分布。该算法在噪声和处理错误方面特别稳定，并且比等效的最小二乘法更快。多层云很容易将其视为单个非对称高斯峰的总和。该方法适用于嘈杂的激光雷达信号（如卫星激光雷达预期的）中的云形参数化。它还可以改进基于巨大激光雷达数据集的云辐射性能计算，因此无法对单个激光雷达轮廓进行存储和仔细检查。 [参考：5]

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