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作 者:李显风[1] 邓卫华[1] 袁正国[1] 胡丽丽 周雪莹[1] Li Xianfeng;Deng Weihua;Yuan Zhengguo;Hu Lili;Zhou Xueying(Jiangxi Meteorological Information Center,Nanchang 330096,China)
出 处:《气象与减灾研究》2021年第1期72-78,共7页Meteorology and Disaster Reduction Research
基 金:江西省重点研发计划项目(编号:S2020ZPYFB0099);江西省气象局重点科研项目“江西省多源气象资料融合分析研究”.
摘 要:为提高多普勒天气雷达资料处理效率,基于消息中间件技术、数据缓存等技术,开展了雷达资料处理与组网拼图技术应用研究。采用RabbitMQ消息中间件,实现雷达资料质量控制、网格化处理、数据缓存等实时调度处理。采用多进程技术,实现雷达资料组网拼图和可视化绘制。在此基础上,构建分布式并行业务运行系统,对江西省8部多普勒天气雷达进行组网拼图处理,实时制作时空分辨率分别为6 min和0.01°的雷达拼图产品。基于消息的雷达拼图技术显著提高了数据处理时效,满足了天气监测预警等精细化气象业务服务需求。In order to improve the efficiency of Doppler weather radar data processing,based on message middleware technology,data caching and other technologies,radar data processing and network mosaic technology methods were studied.The real-time scheduling processing such as radar data quality control,grid processing,and data caching was realized using RabbitMQ message middleware.Radar data network puzzle and visualization drawing were realized by the multi-process technology.On this basis,a distributed parallel business operation system was constructed to conduct network mosaic processing on 8 Doppler weather radars in Jiangxi province,and real-time production of radar mosaic products with temporal and spatial resolutions of 6 min and 0.01°respectively.The message-based radar network puzzle technology significantly improved the timeliness of data processing and met the needs of sophisticated meteorological services such as weather monitoring and early warning.
关 键 词:天气雷达 组网拼图 消息中间件 质量控制 数据缓存
分 类 号:P415.2[天文地球—大气科学及气象学]
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