Study of variations of the atmospheric temperature profile from lidar data

The study of atmospheric temperature profile variations contributes to a better understanding of the propagation of internal gravity waves (IGWs) through the atmospheric layers and the estimation of momentum transfer. Which in turn will help for climate prediction, atmospheric studies and development of more accurate predictive models to assess climate change and atmospheric processes. This paper investigates the variations in the temperature profile caused by internal gravity waves from lidar data. For this purpose, observations were made on stratospheric lidar, and the obtained data were processed using PHC-Viewer and Eclipse programs. The code in the Pycharm program in the Python programming language was developed to calculate the variations of the temperature profile. And visualization of these variations of the temperature profile on the program OriginPro. In this paper we analyze lidar temperature variations caused by gravity waves at altitudes from 20 to 60 km. We analyze nighttime observations, because during the daytime the signal-to-noise ratio is not high enough to calculate the temperature. The main focus of the work is on the comparison of GWH parameters before, during and after sudden stratospheric warming.