摘要
介绍了短时临近交互预报系统VIPS(Very-short-range Interactive Prediction System)的设计理念、开发思路及其功能实现。该系统设计基于开放理念,采用Java语言及开源软件,可跨平台运行,便于系统的开发及升级维护。以开源地理信息软件OpenMap为核心,将丰富的实况探测资料(如区域雷达资料、自动站资料、闪电定位资料)、雷达外推预报和风暴追踪产品及0~6小时数值预报产品与精细的地理信息以图层形式进行叠加,可对风暴的发生、发展在短时临近时间段内进行综合分析。基于对短时临近预报相关实况探测资料及短时临近预报产品的综合分析,可实现预警产品的人机交互快速编辑、制作精细化的预警产品并快速分发,满足了北京奥运会气象预警制作发布及现场服务等需求。
For the purpose of providing high temporal and spatial forecast for 2008 Olympic weather service,a new system named as Very-short-range Interactive Prediction System(VIPS) for weather warning making and dissemination was developed.The design,development,and function of VIPS system were introduced.Based on the opening concept,VIPS was developed using open source community resources like Java and OpenMap,and it is easy to migrate and upgrade.Also,it is possible to combine data from observations like regional Doppler Radar mosaic,automatic weather stations,lightning detection system,and forecasting products from radar echo extrapolation and storm cell tracking,together with 3 km resolution Numerical Weather Prediction(NWP) products with layered data technology support.VIPS can be used to help forecasters to review realtime weather information with the detail GIS(Geographic Information System) information as a background and make a rational composite analysis according to the data sources focusing on nowcasting warning issues.Forecasters can then make a warning based on the analysis.After circling the warning area,venue information can be easily extracted from GIS layer and then with the support of XML(eXtensible Markup Language) templates predefined,different kinds of warning and specified products(like webpage,PDF file,text file) can be generated according to user's requirement.Effective actions can then be taken with combination of accuracy and specificity in time and space.VIPS system played a successful role in the 2008 Olympics' weather service and was used as an operational platform after the Olympics.
出处
《气候与环境研究》
CSCD
北大核心
2010年第5期571-578,共8页
Climatic and Environmental Research
基金
科技部国家科技攻关计划2005BA904B05
北京市科委科技计划Z006279040191
中国科学院知识创新工程重要方向项目KZCX2-YW-206-1