Research on Meteorological Monitoring and Early Warning with Quantum Lidar

The rapid development of quantum Lidar technology has brought new opportunities for meteorological monitoring and disaster warning. This paper discusses the use of quantum lidar for multi-volume scanning, studies the detection technology of atmospheric pollution based on quantum radar, and detects the extinction coefficient and depolarization ratio distribution of atmospheric horizontal paths through lidar to achieve the detection of atmospheric pollutants with high spatial and temporal resolution. The continuous spatial and temporal distribution observation data of various cloud features obtained by quantum radar is also discussed. The technology of thunderstorm identification and thunderstorm disaster warning is studied. Research on feasibility and algorithm of meteorological monitoring and disaster warning with high spatio-temporal resolution. The research shows that quantum Lidar can provide more accurate and real-time meteorological data, which is helpful to improve the accuracy of meteorological forecast, and then effectively conduct disaster early warning.