基于有源光学传感器信号的对流边界层高度检测

Kamana Mishra, B. K. Yellapragada
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引用次数: 0

摘要

由风切变的垂直和水平分量、气溶胶颗粒和其他污染物的存在引起的湍流影响到最接近地球表面的层,即对流层。由于湍流的存在,对流边界层的高度在一天中会发生剧烈的变化。为了深入观察这些变化,将使用统计技术检测激光雷达反向散射信号的峰值。在此之后,将使用统计技术来寻找最佳拟合分布,以检查整个边界层的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convective Boundary Layer Height Detection from Active Optical Sensor Signals
The turbulence caused by vertical and horizontal components of wind shear, the presence of aerosol particles, and other pollutants affects the closest layer to the earth's surface i.e., the troposphere. Due to the turbulence, the height of the convective boundary layer (CBLH) changes over the day dramatically. To observe these changes in-depth, peaks of Lidar backscatter signals will be detected using a statistical technique. After that, a statistical technique to find the best fit distribution will be used to examine the behavior of the whole boundary layer.
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