研究大气边界层的实时高度是研究天气、气候和大气环境污染的迫切需要。激光雷达成为探测边界层时空演变特征的最有效手段。目前国际上用于反演激光雷达数据获取大气边界层高度的主要方法有梯度法、标准偏差法、曲线拟合法等。本文采用偏振拉曼要米散射激光雷达的实测数据，介绍梯度法中的二阶求导反演激光雷达数据提取大气边界层高度，并采用经验模式分解(EMD)方法处理数据。通过对结果进行分析，发现提取的大气边界层高度值与利用诊断式求得的高度值的吻合性比较理想。%Research for the real-time atmospheric boundary layer height is important to the weather, climate and atmospheric pollution. The determination of atmospheric boundary layer height based on lidar data is the most effective tool. Currently in the world, the main methods to determine atmospheric boundary layer height from lidar data are three kinds of commonly used methods, such as the gradient method, standard deviation method, fitting mehord. This paper expounded the gradient method calculating atmospheric boundary layer height from lidar experiment data, and attempted the Empirical Mode Decomposition method which was first made use of processing data, with the continuously measured data of polarization-Raman-Mie scattering lidar. The results indicate that the height from EMD accord with that from diagnostic equation.
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