Modeling and Visualization On Scalar Fields of Meteorological Data

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

Abstract

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

CLC Number:

TP391.9

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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