多普勒天气雷达三维数字组网系统开发及应用

Development and Application of the Doppler Weather Radar 3-D Digital Mosaic System

  • 摘要: 为充分发挥多普勒天气雷达网的联网观测优势,依托已有科研成果,开发了多普勒天气雷达三维数字组网软件系统。介绍了该系统的整体设计、系统框架、主要功能模块、数据处理流程和相关算法,分析了系统性能及组网结果的实用性、可靠性,讨论了实际应用中影响组网效果的两个重要因素。业务运行测试及实例分析结果表明:该系统运行稳定;在微机上可实现约15部雷达、频率为6min左右的高时间频率的三维组网;算法合理,组网结果可靠;为中小尺度天气分析提供了便利,为临近天气预报开发等工作提供了数据基础;有必要对软件系统进行升级,以便更好地满足应用需求, 提高组网结果质量。

     

    Abstract: Today, most radar sites of the CINRAD have been established, and there is good condition to transmit radar base data to the regional center. To fully utilize the advantage of the Doppler weather radar network, and improve the capability of mesoscale disaster weather early warning, study about weather radar 3-D mosaic has been made in recent years, and the Doppler weather radar 3-D digital mosaic system is developed for the first time in China based on these research results. It introduces the design, system structure, main function modules, data process flow, and corresponding algorithms of the system, analysis software performance, practicality and reliability of the mosaic results, study methods to discriminate two important factors affect the mosaic results.The system includes the following modules: Base data loading, data time matching, data quality controlling, coordinates conversion of single site base data to Cartesian coordinates, reflectivity mosaic for all sites in the region, and the generation of series of derived products. It can provide quality controlled base data, 3-D reflectivity grid data of single site, 3-D mosaic reflectivity and some derived products base on mosaic base data, which are useful not only for operational work, but also for scientific research. It can run real time for the region with around fifteen radars, at intervals about 6 minutes, with the horizontal resolution of about 1 km, and at least 20 vertical height levels.Operational running on trial proves that the system is steady. Case study results show that the 3-D mosaic result with high time and spatial resolution is reliable, it provides advantage for analyzing mesoscale and small-scale severe weather, and supplies data basis for developing now-casting and some other works. Besides, the observation errors and position errors are two important cases which influence the mosaic results, and they can be determined easily by analyzing outputs of the system itself. The system is running on trial currently. It's planned to upgrade the system for business, after adding some functions and useful derived products in the near future.

     

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