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《Geography and Geo-Information Science》 2012-01
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VisIt-Based Parallel Visualization of Global Scientific Data:Atmosphere Temperature Field Being a Case

LI Zhi-feng1,2,WU Li-xin1,2,BO Hai-guang3,YU Jie-qing1,2(1.Key Lab of Environment Change and Natural Disasters(Ministry of Education),Beijing Normal University, Beijing 100875;2.Academy of Disaster Reduction and Emergency Management,Ministry of Civil Affairs, Ministry of Education,Beijing Normal University,Beijing 100875;3.College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China)  
Visualization is essential for the scenario representation of massive global scientific data,and is of great importance for global change researches and Earth System Science.Referring to the deficiency and week-capability of current visualization methods with single PC on global scientific data and to the great difficulty to develop initially a parallel visualization system,this paper proposed a VisIt-based convenient,open and efficient visualization method under the usual distributed computer environment.The architecture of VisIt was introduced,and the parallel visualization principle of VisIt was analyzed based on the cluster structures.The VisIt-based methods for parallel visualization of global scientific data were proposed.Finally,based on Global Spatial Grid and NECP datasets,taken the temperature field data of global atmosphere being a case,this paper realized its visualization with adaptive Spheroid Degenerated Octree Grid.Simultaneously,experiments on the visual ability of VisIt were carried out on the laboratory cluster.The results showed that VisIt can efficiently get rid of the restraint on data size of the single PC,and the relationship between data size and compute node was analyzed.The method introduced in this paper is of promising future.
【Fund】: 国家自然科学基金重点项目(40930104);; 国家863子课题(2011AA120302)
【CateGory Index】: TP391.41;P409
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