In response to the growing demand for high-precision, high spatiotemporal resolution observation technologies in modern meteorological services, particularly the need for detailed observations of the five atmospheric profiles—wind, temperature, humidity, water vapor, and aerosols—within the troposphere, LiDAR has become an essential component of meteorological observation systems. LiDAR addresses the limitations of conventional observation methods in vertical resolution and real-time monitoring, providing strong support for the precise acquisition of meteorological profile parameters and enhancing extreme weather warning capabilities.
Leice's Doppler wind LiDAR and Raman temperature and humidity LiDAR products offer high spatiotemporal resolution for continuous ground-based remote sensing monitoring of "5 profiles"——atmospheric wind, temperature, humidity, water vapor, and aerosols. The integration of LiDAR data assimilation technology with multi-source observational data enhances numerical weather prediction model accuracy and strengthens the ability to monitor and provide early warnings for extreme weather events, offering robust support for modern meteorological services.
Integrating Doppler wind measurement and Raman temperature and humidity lidar to achieve high-precision and continuous monitoring of the
Lidar technology has excellent vertical observation capabilities, which can capture subtle changes in the atmosphere, meet the strict requirements of high-resolution numerical models for initial conditions, and improve forecast accuracy.
Suitable for various scenarios such as major event meteorological support, daily short-term forecasting, and emergency meteorological services in complex terrains, fully covering all types of meteorological service needs.
Through accurate 3D wind field and other meteorological parameter observation, provide key data support for early warning of extreme weather events such as typhoon and rainstorm, and reduce disaster losses.
Support the construction of high-precision 3D urban wind field models to assist in urban pollution forecasting and management, and improve urban environmental quality.
