The mixing layer (ML) provides a vertical atmospheric barrier and its height has become an important parameter
in meteorology and air quality control. In locating the mixing layer using Lidar it has always to be considered
that the signals may be biased by noise and the mixing layer itself can contain more than a single layer. In
previous studies use was made of the fact that the main part of aerosols are located within the mixing layer and
outside this layer, in the so called free atmosphere, the concentration of aerosols decreased significantly. This
leads to a sharp change of the backscattering signal at the boundary layers.
In this paper an algorithm is presented that determines the height of the mixing layer (MLH) by an intensive
analysis of the global and local maxima of the Lidar signal and its first derivative. The algorithm searches for a
maximum of the backscatter signal followed by a minimum in the first derivative. The results are compared with
the MLH calculated by a model.
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