Abstract
Meteorological forecasting can not only reduce the losses caused by natural disasters to human society but also has a very important significance in the fields of water conservancy, aviation, and transportation. In order to improve the accuracy of meteorological forecasting, we should focus on the in-depth optical analysis of atmospheric cloud distribution. Compared with forward-scattered laser light, backscattered laser light can save more optical information. Therefore, this paper studies the backscattering of polarized laser light distributed in atmospheric clouds. In this study, a simulated annealing algorithm was used to invert the data of spaceborne lidar to obtain the depolarization degree and backscattering coefficient of atmospheric clouds and aerosols at different heights. Finally, based on the radar measurement example, the simulated annealing algorithm was used to analyze the atmospheric information of sunny, cloudy, and hazy weather in summer and winter, and the atmospheric depolarization and backscattering coefficients corresponding to different weather heights were obtained. The corresponding cloud layer type was judged. The research results prove the feasibility of the simulated annealing algorithm in the study of polarized laser backscattering in atmospheric cloud distribution. This study provides new ideas for radar data processing methods and provides a theoretical basis for further research in the field of meteorological forecasting.
Highlights
Lidar is a detection system that analyzes the difference between the signals emitted and received by the laser beam to determine the precise location area of the target and its movement speed
When electromagnetic waves are incident from a uniform medium, surface scattering occurs at the interface between the two uniform media. e scattering signal received in the direction opposite to the incident direction is forward scattering
Scholars in the past usually used forward-scattered light for research, but forward-scattered light is prone to loss of optical information in strong scattering media, which will have a greater impact on resolution (Tian et al.) [4]
Summary
Lidar is a detection system that analyzes the difference between the signals emitted and received by the laser beam to determine the precise location area of the target and its movement speed. In order to simplify the calculation process on the basis of ensuring the accuracy of the solution set, this paper uses a simulated annealing algorithm to perform the inversion operation of CALIOP spaceborne lidar data to obtain atmospheric cloud and aerosol depolarization and backscattering coefficient at different measurement heights. In order to explore the new method of data processing for CALIOP spaceborne lidar, this study, based on the Monte Carlo method, innovatively proposed the use of a simulated annealing algorithm for CALIOP data inversion, which provides a new method for atmospheric remote sensing meteorological monitoring based on spaceborne radar ideas. E fourth part analyzes the depolarization degree and backscattering coefficient of atmospheric clouds and aerosols in different seasons and weather conditions through examples and proves the feasibility of a simulated annealing algorithm used in the inversion of spaceborne lidar data.
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