Abstract
Lidar can provide the range-resolved information about the vertical profiles of optical properties of aerosol content and clouds present in the atmosphere. However, before obtaining the information from received lidar signal we ought to use a few pre-processing techniques such as range-correction, temporal and spatial averaging, dead time correction of the photon counts (PC) signal, correction due to overlap effect, Simulation of molecular Rayleigh signal and gluing analog & PC signals. In this work, we have discussed some of the initial pre-processing techniques ought to be performed before lidar inversion.
Highlights
Lidar system has proved to provide rangeresolved measurements of the vertical profiles of optical properties of aerosol content and clouds present in the atmosphere [1]
After performing the dead time correction on the photon counts (PC) signals, the background noise or the solar/atmospheric radiation is to be removed from both analog and PC signals
The averaging was followed by the dead time correction of the raw PC signal with 4ns dead time
Summary
Lidar system has proved to provide rangeresolved measurements of the vertical profiles of optical properties of aerosol content and clouds present in the atmosphere [1]. Before obtaining this information about aerosols and clouds through signal inversion, it is required to perform a number of preprocessing techniques so as to achieve better and improved signal such as signal averaging, dead time correction, bin shift correction, background correction, overlap correction, gluing both analog and photon counts (PC) signals etc. In this paper we have tried to provide a practical approach to some of these preprocessing techniques
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