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Determination by spaceborne backscatter lidar of the structural parameters of atmospheric scattering layers

机译:用星载反向散射激光雷达确定大气散射层的结构参数

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摘要

Spaceborne active lidar systems are under development to give new insight into the vertical distribution of clouds and aerosols in the atmosphere and to provide new information on variables required for improvement of forecast models and for understanding the radiative and dynamic processes that are linked to the dynamics of climate change. However, when they are operated from space, lidar systems are limited by atmospheric backscattered signals that have low signal-to-noise ratios (SNRs) on optically thin targets. Therefore specific methods of analysis have to be developed to ensure accurate determination of the geometric and optical properties of scattering layers in the atmosphere. A first approach to retrieving the geometric properties of semitransparent cloud and aerosol layers is presented as a function of false-alarm and no-detection probabilities for a given SNR. Simulations show that the geometric properties of thin cirrus clouds and the altitude of the top of the unstable atmospheric boundary layer can be retrieved with standard deviations smaller than 150 m for a vertical resolution of the lidar system in the 50-100-m range and a SNR of 3. The altitudes of the top of dense clouds are retrieved with a precision in altitude of better than 50 m, as this retrieval corresponds to a higher SNR value. Such methods have an important potential application to future spaceborne lidar missions.
机译:正在开发星载有源激光雷达系统,以提供对大气中云和气溶胶垂直分布的新见解,并提供有关变量的新信息,这些变量需要改进预报模型并了解与辐射动力学有关的辐射和动态过程。气候变化。但是,当从太空操作激光雷达系统时,它受到大气反向散射信号的限制,这些信号在光学薄目标上具有较低的信噪比(SNR)。因此,必须开发特定的分析方法以确保准确确定大气中散射层的几何和光学特性。针对给定的SNR,提出了一种检索半透明云层和气溶胶层几何特性的第一种方法,该方法是虚警和无检测概率的函数。仿真表明,对于50-100-m范围内的激光雷达系统的垂直分辨率,可以用小于150 m的标准偏差来检索薄卷云的几何特性和不稳定大气边界层顶部的高度。 SNR为3。以高于50 m的高度精度检索密云顶部的高度,因为该检索对应于较高的SNR值。这种方法在未来的星载激光雷达任务中具有重要的潜在应用。

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