Study of Lidar Signals of the Atmospheric Boundary Layer Using Statistical Technique

The rotational turbulence caused by mixing the layers of air, wind shear components, mountain waves, aerosol particles, and other pollutants affects the lowest and densest layer of the earth's surface troposphere. Due to the turbulence, the height of the convective boundary layer (CBLH) changes over the day dramatically. We observe the variation in peak positions of lidar backscatter signals by performing a statistical technique for analyzing the behavior of the convective boundary layer (CBL). After that, to examine the behavior of the whole boundary layer, a distribution method and histogram plots will be used. We provide the statistical method for getting the best fit distribution to show how the result leads to the physical observation of data.