计算机工程与应用 ›› 2019, Vol. 55 ›› Issue (18): 207-211.DOI: 10.3778/j.issn.1002-8331.1901-0089

• 工程与应用 • 上一篇    下一篇

气象格点数据在线可视化平台的设计与开发

杨和平,张志强,杨明,杨笛,姜筱玮,陈京华   

  1. 1.国家气象信息中心,北京 100081
    2.浙江省气象信息网络中心,杭州 310017
  • 出版日期:2019-09-15 发布日期:2019-09-11

Design and Development of Online Visualization Platform for Meteorological Grid Data

YANG Heping, ZHANG Zhiqiang, YANG Ming, YANG Di, JIANG Xiaowei, CHEN Jinghua   

  1. 1.National Meteorological Information Center, Beijing 100081, China
    2.Zhejiang Meteorological Information Network Center, Hangzhou 310017, China
  • Online:2019-09-15 Published:2019-09-11

摘要: 气象格点数据是气象数值预报、数据融合、再分析等产品的主流格式,而该类数据的处理及可视化工具使用中存在专业性强、运行环境配置繁琐等问题,导致该类数据通常仅在气象行业内部使用,应用范围受到极大的限制,已不能满足科研、商业以及社会用户对气象格点数据使用需求。针对以上问题,该平台采用B/S、Node.js开发框架、集成WebGIS、D3.js等技术,实现了免安装、在线数据交互、融合可视化展示等功能。除了传统色斑图,还叠加了动态流场,实现了气象格点数据的综合动态展示。文中利用T639数值预报数据对该平台进行了检验,结果表明该系统能够准确客观地展示数据信息,同时其动态风场展示功能更有利于用户理解和应用数据。该平台的开发提升了气象格点数据的展示能力和效率,为格点数据的空间区域及多要素等关联可视化分析,提供了实用、便捷、有效的工具;同时结构化的开发,可为数值预报、再分析等系统的可视化集成提供开放的对接渠道。

关键词: 格点数据, 可视化, 风场, 页面渲染

Abstract: Meteorological grid data is the mainstream format of meteorological numerical forecast, data fusion, reanalysis and other products. However, there are still some problems in reading and using visualization tools of this type of data, such as extreme specialization and complicated configuration of operation environment. Therefore, the grid data can only be used within the industry, and the application scope is greatly limited, it cannot meet the demand of industry, scientific research and social users using grid data. In this paper, B/S, Node. js development framework, WebGIS and D3. js technology is integrated to develop the functions of installation-free, on-line data interaction and fusion visual display. Besides the tradition spots figure, dynamic wind field is also superimposed to give the comprehensive visual display of the grid data. In this paper, T639 numerical forecast data are used to test the platform. The results show that this system can objectively reflect the data content, while the dynamic wind field display is better for users to understand the data. The platform improves the display efficiency of grid data and provides a practical, convenient and effective tool for relating visual analysis to spatial region of grid data and multiple elements. At the same time, the structural development can also provide an open docking channel for visual integration with numerical prediction and re-analysis system.

Key words: grid data, visualization, wind field, web page rendering