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广西空中云水综合分析评估系统功能设计与业务实现

Function design and service realization of the cloud water comprehensive analysis, evaluation system in Guangxi
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摘要 基于ERA5再分析资料及CMADaaS高时空分辨率降水数据作为评估数据源,替代研究型Cloudsat数据集,并遵循经纬度线上边界点成对设置原则,以解决小区域分析结果不稳定现象,应用多进程并行计算技术满足分析评估实时化、可视化要求;用雨量反算法应对最新ERA5资料上线时间滞后难题,探讨将分析研究型CWR-MEM云水资源评估方法落地为可实时业务应用的广西云水资源分析评估平台的思路和途径。结果表明,系统运行稳定高效,分析结果与国家指导区域云水分布特征基本吻合,有助于合理规划空中云水资源开发利用、提升人工影响天气业务能力水平。 Using the stable and updated ERA5 reanalysis data and CMADaaS high spatial-temporal resolution precipitation data as the evaluation data source to replace the research CloudSat data, this paper follows the principle of paired setting of the boundary points on the longitude and latitude lines to solve the problem of unstable analysis results in small areas. Also, multi-process parallel computing technology is applied to meet the requirements of real-time and visualization of analysis and evaluation. Moreover, the rainfall inverse algorithm is used to deal with the time lag problem of the latest ERA5 data, and discuss the ideas and ways to implement the analytical research-oriented CWR-MEM cloud water resources assessment method into a Guangxi cloud water resource analysis and assessment platform that can be applied in real-time business. The results show that the system operates stably and efficiently, and the analysis results are basically consistent with the distribution characteristics of cloud water in the national guidance area, which is helpful to reasonably plan the development and utilization of cloud water resources in the air and improve the operational ability of weather modification.
作者 董良淼 范娇 张正国 詹莹玉 韦增岸 李林红 Dong Liangmiao;Fan Jiao;Zhan Yingyu;Zhang Zhengguo;Wei Zhengan;Li Linhong(Guangxi Meteorological Observatory,Nanning 530022,China;Guangxi Weather Modification Office,Nanning 530022,China)
出处 《气象研究与应用》 2022年第3期110-114,共5页 Journal of Meteorological Research and Application
基金 广西区域空中云水资源精细化分析评估技术及关键特征参量优化研究(桂气科2019Z02)。
关键词 水凝物 云水资源 降水效率 三维云场 监测评估 hydrometeor cloud water resources precipitation efficiency 3D cloud field monitoring and evaluation
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