Atmosphere three-dimensional structure dynamic detection information group assimilation system based on railway network

Abstract

The invention discloses an atmosphere three-dimensional structure dynamic detection information group assimilation system based on a railway network. The system comprises the steps: obtaining meteorological data collected by meteorological detection devices, the meteorological detection devices being installed on trains, and the trains running at different places; determining data belonging to a mesoscale meteorological mode; analyzing and assimilating the determined data by using a space-time multi-scale analysis system to obtain assimilated data; and assimilating the dynamic detection data of the atmospheric three-dimensional structure by using a three-dimensional or four-dimensional variational assimilation technology to obtain an atmospheric three-dimensional structure reanalysis data set. According to the scheme provided by the invention, the atmosphere three-dimensional structure information group with large range, high temporal-spatial resolution, dynamic and static combination and temporal-spatial conversion can be realized, and the disaster weather forecast accuracy along the railway and in the downstream region is improved. Accurate weather forecast and early warning data are provided for units closely related to meteorology, such as railways (high-speed rails), meteorology, environmental protection, aviation, agriculture, forestry, water conservancy, electric power and the like.

Description

technical field [0001] The invention relates to the technical field of meteorological monitoring, in particular to a railway network-based atmospheric three-dimensional structure dynamic detection information group assimilation system. Background technique [0002] At present, the limited detection data of the three-dimensional structure of the atmosphere has become one of the important bottlenecks in the development of numerical forecasting, the core technology of disaster weather early warning. Taking advantage of the network advantages of a country with a strong railway, a new technology of dynamic detection of the three-dimensional structure of the atmosphere based on the railway platform is developed to obtain coverage National, reliable high-temporal-spatial resolution atmospheric three-dimensional observation information group, and assimilation of these new observation data into the disaster weather numerical forecast model, will effectively improve the forecast accura...

AI Technical Summary

Problems solved by technology

[0004] However, there are currently few high-altitude sounding observation stations in the world, and there are only two observations a day, which is difficult to meet the needs of numerical weather prediction. To make up for the lack of conventional sounding, microwave radiometers are widely used in atmospheric temperature and humidity profiles under any weather conditions. Continuous observation of the line in scientific research and business

However, most of the studies use fixed-station microwave radiometer measurement methods for observation experiments and business applications. This measurement method can only obtain the atmospheric temperature, humidity and water vapor profiles around a limited number of observation stations, and cannot quickly and effectively obtain large-scale or even nationwide atmospheric data. 3D structural spatiotemporal change detection information