Modeling and Visualization On Scalar Fields of Meteorological Data

Authors

Shuoben Bi, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;
Yucheng Gong, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;
Mingyue Lu, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;
Zhou Hao, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;
Yuanxiang Mao, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;

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.

Recommended Citation

Bi, Shuoben; Gong, Yucheng; Lu, Mingyue; Hao, Zhou; and Mao, Yuanxiang (2020) "Modeling and Visualization On Scalar Fields of Meteorological Data," Journal of System Simulation: Vol. 32: Iss. 7, Article 14.
DOI: 10.16182/j.issn1004731x.joss.18-0702
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/14

First Page

1331

Revised Date

2019-01-22

DOI Link

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

Last Page

1340

CLC

TP391.9

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.18-0702