气象数据标量场的建模与可视化研究

doi:10.16182/j.issn1004731x.joss.18-0702

摘要/Abstract

摘要： 气象标量场的可视化仍有着许多效率、交互性和准确性上的欠缺。针对这些问题,提出基于多层次体绘制技术的显示方法,对空间场数据进行处理,形成三维空间网格,通过标量值与颜色值、透明度之间的动态映射,实现气象标量数据的三维动态可视化效果。针对传统MC(Marching Cubes)算法存在的插值方法不适用于气象数据,连接方式具有二义性的问题,提出MC算法的改进方法,完善了MC算法在气象可视化领域的不足。实验证明,体绘制能够快速逼真地仿真出气象数据的动态变化效果,改进后的MC算法则能使结果更加精确。

关键词: 可视化, 标量场, 体绘制, MC算法

Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method is proposed, which improves the deficiency of MC algorithm in the field of meteorological visualization. Experiments show that the volume rendering can quickly and realistically simulate the dynamic changes of meteorological data, and the improved MC algorithm can make the results more accurate.

Key words: visualization, scalar field, volume rendering, MC algorithm

中图分类号:

TP391.9

毕硕本, 贡毓成, 路明月, 周浩, 毛远翔. 气象数据标量场的建模与可视化研究[J]. 系统仿真学报, 2020, 32(7): 1331-1340.

Bi Shuoben, Gong Yucheng, Lu Mingyue, Zhou Hao, Mao Yuanxiang. Modeling and Visualization On Scalar Fields of Meteorological Data[J]. Journal of System Simulation, 2020, 32(7): 1331-1340.

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