The Meteorological Comprehensive Observation and Service Platform is an innovative comprehensive meteorological solution that is based on the networking technology of multiple lidars. It deeply integrates diversified observation technologies such as wind profile lidar, sounding instruments, satellites, and ground meteorological stations, and constructs a widely covered, richly layered, and highly accurate meteorological observation network. This platform not only achieves precise observation of key parameters such as atmospheric wind, temperature, humidity, water condensation, and aerosols through real-time collection, processing, and analysis of multi-source meteorological data, but also greatly improves the accuracy and timeliness of meteorological forecasting. In addition, the platform also has strong data assimilation and mining capabilities, which can generate diverse meteorological products and provide comprehensive and accurate meteorological support for meteorological research, disaster warning, industry applications, and public services.
Integrating various meteorological observation devices, a multi-dimensional, multi-level meteorological observation system is established, providing comprehensive atmospheric parameters and enhancing the overall comprehensiveness and accuracy of meteorolo
Advanced communication technologies and equipment are employed to ensure that observational data is transmitted in real-time and rapidly to the control application center, providing timely and effective data support for weather forecasting and disaster ea
A secure virtual private network (VPN) is established to ensure the security of data transmission; High-reliability industrial routers and industrial-grade sensors are selected to ensure the stable operation of the entire system in various harsh environme
The system has excellent scalability, easily accommodating the addition of future observation sites and technological upgrades, providing strong support for the long-term development of the meteorological observation network.
Introducing lidar data assimilation technology to efficiently integrate and utilize multi-source observation data, improving the accuracy and reliability of numerical weather forecasting models, and further enhancing the monitoring and forecasting capabil
