Journal of System Simulation
Abstract
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.
Recommended Citation
Bi, Shuoben; Gong, Yucheng; Lu, Mingyue; Hao, Zhou; and Zhi, Tang
(2020)
"Visualization of Tropical Cyclones Based on Digital Earth,"
Journal of System Simulation: Vol. 32:
Iss.
3, Article 15.
DOI: 10.16182/j.issn1004731x.joss.18-0210
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss3/15
First Page
472
Revised Date
2018-07-30
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0210
Last Page
481
CLC
TP391.9
Recommended Citation
Bi Shuoben, Gong Yucheng, Lu Mingyue, Zhou Hao, Tang Zhi. Visualization of Tropical Cyclones Based on Digital Earth[J]. Journal of System Simulation, 2020, 32(3): 472-481.
DOI
10.16182/j.issn1004731x.joss.18-0210
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons