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气象:2014,40(8):981-991
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基于BJ RUC系统的人影冷云催化潜力识别模式平台设计
(1.中国科学院大气物理研究所,北京 100029 北京市人工影响天气办公室,北京 100089 中国气象局北京城市气象研究所,北京 100089 北京市气象局云降水物理研究与云水资源开发北京市重点实验室,北京 100089 中国科学院大学,北京 100049;2.中国科学院大气物理研究所,北京 100029;3.中国气象局人工影响天气中心,北京 100081;4.北京市人工影响天气办公室,北京 100089)
Cold Cloud Seeding Potentials Recognition Platform of Weather Modification Based on the BJ RUC System
(1.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 Beijing Weather Modification Office, Beijing 100089 Institute of Urban Meteorology, CMA, Beijing 100089 Beijing Key Laboratory of Cloud, Precipitation and Water Resources, Beijing Meteorological Service, Beijing 100089 University of Chinese Academy of Sciences, Beijing 100049;2.Weather Modification Centre, CMA, Beijing 100081;3.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;4.Beijing Weather Modification Office, Beijing 100089)
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投稿时间:2013-08-12    修订日期:2014-05-26
中文摘要: 提前准确识别冷云催化潜力,有助于提升人工影响天气作业的科学水平,是实现气象现代化的重要保障。北京市人工影响天气办公室基于BJ RUC系统,设计研发了北京人影冷云催化潜力识别模式平台(BJ CCSPR平台)。该平台通过后台支撑系统和前台分析系统的有机结合,具有自动处理数据监测、模式计算、人影业务产品制作与显示等功能,并能实现人机交互操作。冷云综合催化潜力指标基于BJ RUC系统输出的三维云宏微观物理量条件、热力和动力条件设计研发,可直观地提供人影催化潜力区的空间和地域分布,具有较强的科学性和可信度。业务应用表明:该平台性能稳定,自动化程度较高,易于扩展,实用性强;与BJ RUC系统结合,业务产品基本可以反映未来24 h内人影相关物理量场的变化情况;地基增雪和飞行增雨典型实例说明冷云综合催化潜力指标可直接服务于人影决策指挥,在实际业务中发挥重要作用。
Abstract:Recognizing cold cloud seeding potentials accurately in advance can improve the scientific skill of artificial weather modification and guarantee the realization of meteorological modernization. Based on BJ RUC system, the cold cloud seeding potentials recognition platform of weather modification in Beijing (BJ CCSPR platform) was designed by Beijing Weather Modification Office. With the combination of background supporting system and foreground analyzing system, the platform has the functions of data monitoring, model calculation, generation and display of the operation products and human computer interactive operations. Based on the 3 dimension macro and micro physical quantites, thermodynamic and kinetics factors, the comprehensive indices of cold cloud seeding potentials are designed, having high levels of scientificity and creditability and being able to provide the distribution of 3D and 2D seeding potential areas directly. The operational application indicates that: This platform has stable performance and high automation; it’s easy to expand and practical highly; operational products which is combined with BJ RUC system can primarily forecast the variation of physical quantity associated with weather modification in the next 24 hours; the classic examples of a ground based flare seeding case and an aircraft seeding case indicate that the comprehensive indices of cold cloud seeding potentials can serve weather modification decision making and command progress directly and play an important role in practical operation of weather modification.
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基金项目:公益性科研院所基本科研业务费专项基金(IUMKY201313PP0403)、国家自然科学基金项目(41105016)、北京市优秀人才培养资助项目(2012D002034000001)、公益性行业(气象)科研专项(GYHY201306065)和北京市气象局科技项目(BMBKJ201403012和BMBKJ201403013)共同资助
引用文本:
嵇磊,周珺,李宏宇,张磊,2014.基于BJ RUC系统的人影冷云催化潜力识别模式平台设计[J].气象,40(8):981-991.
JI Lei,ZHOU Jun,LI Hongyu,ZHANG Lei,2014.Cold Cloud Seeding Potentials Recognition Platform of Weather Modification Based on the BJ RUC System[J].Meteor Mon,40(8):981-991.