Abstract
Ocean currents and vortices play an important role in transferring heat, salt or carbon as well as atmospheric circulation. With advances in supercomputing technology, high-resolution large-scale simulation study has been focused in the field of ocean science. However, it is difficult to intuitively understand characteristic features defined as multivariable hiding in the high-resolution dataset. In order to obtain scientific knowledge from large-scale simulation data, it is important to effectively extract and to efficiently express the characteristic feature. The aim of this study is how to efficiently extract and how to effectively visualize ocean currents which affect the heat transportation. In this research, new multi-dimensional transfer function to emphasis the ocean currents and vortices is proposed. Furthermore, multivariate analyses to extract such features are developed. This presentation describes the methodologies and experimental results of these methods. Evaluation of visualization results and feedback to the parameter optimization will be also reported.
Original language | English |
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Title of host publication | Proceedings - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012 |
Pages | 1466 |
Number of pages | 1 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012 - Salt Lake City, UT, United States Duration: Nov 10 2012 → Nov 16 2012 |
Other
Other | 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012 |
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Country/Territory | United States |
City | Salt Lake City, UT |
Period | 11/10/12 → 11/16/12 |
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Science Applications
- Software