系统仿真学报 ›› 2020, Vol. 32 ›› Issue (3): 472-481.doi: 10.16182/j.issn1004731x.joss.18-0210

• 国民经济仿真 • 上一篇    下一篇

基于数字地球平台的热带气旋可视化研究

毕硕本, 贡毓成, 路明月, 周浩, 汤智   

  1. 南京信息工程大学地理科学学院,江苏 南京 210044
  • 收稿日期:2018-04-12 修回日期:2018-07-30 出版日期:2020-03-18 发布日期:2020-03-25
  • 作者简介:毕硕本(1965-),男,山东昌邑,博士,教授,研究方向为三维可视化、空间数据挖掘、气象信息融合;贡毓成(1994-),男,江苏南京,硕士,研究方向为GIS与气象应用。
  • 基金资助:
    国家自然科学基金(41971340,41271410)

Visualization of Tropical Cyclones Based on Digital Earth

Bi Shuoben, Gong Yucheng, Lu Mingyue, Zhou Hao, Tang Zhi   

  1. School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2018-04-12 Revised:2018-07-30 Online:2020-03-18 Published:2020-03-25

摘要: 热带气旋常伴随发生暴雨、风暴潮等,对我国东南沿海影响严重。热带气旋可视化能直观地展示其运动状态、发生过程和内部结构,为研究、预报提供支持。基于开源库Cesium构建数字地球平台,介绍了系统架构,验证了点云法对云场数据可视化的适用性,提出了一种基于粒子追踪的改进风场可视化方法,包括风场粒子属性计算、风场粒子绘制及风场粒子管理。仿真试验表明,利用点云法仿真的云场细节丰富、纹理清晰;利用改进方法仿真的风场相较于传统方法,在保证性能损失较少的情况下,实现了动态与渐变效果,更具真实感。为真实再现热带气旋数据中的云场与风场提供了一种可行的技术途径。

关键词: 数字地球, 热带气旋, 可视化, 粒子追踪

Abstract: Tropical cyclones are often accompanied by heavy rains, storm surges and so on, which have serious impact on the southeast coast of China. Visualization of tropical cyclones can directly demonstrate its motion state, occurrence process and internal structure, and support the research and prediction on it. This paper builds digital earth platform based on Cesium(an open source library),introduces the system architecture, verificates the applicability of point cloud method to the visualization of cloud field data, proposes an improved wind field visualization method based on particle tracking, with includes the calculation of wind field particle properties, the drawing of wind field particles and the management of wind field particles. Experiments show that the cloud field simulation using point cloud method is rich in detail and clear in texture. Compared with the traditional method, the wind field simulated by the improved method can achieve dynamic and gradual effects, and is more realistic with less loss of performance. Overall, a feasible technical approach for the real reproduction of cloud and wind fields in tropical cyclone data is provided.

Key words: digital earth, tropical cyclone, visualization, particle tracking

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