基于自适应网格结构的气象云数据三维可视化  

Three-Dimensional Visualization of Weather Forecast Cloud Data Based on Adaptive Grid Structure

作　　者：谢永华[1] 朱超凡 郑义 姬瑜 XIE Yong-hua;ZHU Chao-fan;ZHENG Yi;JI Yu(School of Computer and Software,Nanjing University of Information Science and Technology,Nanjingjiangsu 210044,China)

机构地区：[1]南京信息工程大学计算机与软件学院

出　　处：《计算机仿真》2019年第7期203-207,共5页Computer Simulation

基　　金：国家自然科学基金项目(41675155)

摘　　要：针对现有的真实气象云数据可视化方法普遍存在的建模复杂度高,渲染效率低等问题,提出了一种基于感兴趣区域自适应远场网格结构的气象云数据三维可视化方法。方法首先提取云的消光系数作为云模拟因子,然后提取感兴趣区域以生成自适应的远场网格结构并应用于云粒子的建模,在保持感兴趣区域精细分辨率的同时优化其它区域的粒子数量,最后完成三维云图的渲染绘制。基于WRF模式气象云数据的仿真结果表明,上述网格结构在保证绘制质量的基础上.能加快绘制和渲染速度,并能更好地展示真实云的形态和结构特性。In order to solve the problems of high modeling complexity and low rendering efficiency for the existing real weather forecast cloud data simulation methods, The paper proposed a three-dimensional visualization method of weather forecast cloud data based on the adaptive far-field grid structure for region of interest. First, the extinction coefficient of the cloud was extracted as a cloud simulation factor, then the region of interest was extracted to generate an adaptive far-field grid structure and be applied in the modeling of cloud particles, which optimized the number of particles of other regions while maintaining the fine resolution of the region of interest. Finally, the 3D cloud image was rendered. The simulation results show that the grid structure can speed up the rendering speed based on the guaranteed rendering quality and display the shape and structural characteristics of the real cloud better.

关 键 词：气象数据 三维可视化 自适应网格结构 感兴趣区域 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]