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Title:
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REAL-TIME VISUALIZING MULTI-FIELD SIMULATION DATA IN EARTH CLIMATE SCIENCE |
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Author(s):
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Yi Cao, Zeyao Mo, Zhiwei Ai, Huawei Wang, Li Xiao |
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ISBN:
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978-989-8533-38-8 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2015 |
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Edition:
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Single |
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Keywords:
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Volume rendering, GPU hardware, multi-field visualization, vector analysis, climate simulation |
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Type:
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Full Paper |
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First Page:
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170 |
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Last Page:
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178 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Recent advances in high performance computing technologies are increasing the model complexity, model resolution and the number of simulations in the climate science. Interactive exploration and analysis of these complex, multi-field climate data sets has been identified as one of the major current challenges in scientific visualization today. Without direct 3D multi-field visualization it is hard to see, for example, important correlative effects between vertical wind velocities and transport of volumetric atmosphere. Since the data have complicated 3D structures and are highly time-dependent, the visualization approach must handle this dynamic data in a highly interactive way. In this paper we propose a real-time multi-field visualization framework for earth climate simulation data. A novel visualization pipeline is presented for on-demand data processing, enabling scalable handling large-scale climate dataset. The GPU hardware accelerated multi-field visualization method in the framework allows for the interactive visual analysis of the multiple intersecting climate phenomenons. An information-theoretic based wind field analysis method is also implemented in the visualization framework to help scientist to gain deeper understanding of underlying multi-field climate data. |
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