pyParaOcean, A System for Visual Analysis of Ocean Data: Conclusion
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Authors:
(1) Toshit Jain, Indian Institute of Science Bangalore, India;
(2) Varun Singh, Indian Institute of Science Bangalore, India;
(3) Vijay Kumar Boda, Indian Institute of Science Bangalore, India;
(4) Upkar Singh, Indian Institute of Science Bangalore, India;
(5) Ingrid Hotz, Indian Institute of Science Bangalore, India and Department of Science and Technology (ITN), Linköping University, Norrköping, Sweden;
(6) P. N. Vinayachandran, Indian Institute of Science Bangalore, India;
(7) Vijay Natarajan, Indian Institute of Science Bangalore, India.
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Table of Links
Abstract and Intro
Ocean data
pyParaOcean: Architecture
pyParaOcean: Functionalities
Case study: Bay of Bengal
Conclusion
Acknowledgments and References
6. Conclusions
This paper described pyParaOcean, a system for visual exploration and analysis of 3D time-varying ocean data. pyParaOcean is designed as a plugin for Paraview and provides visualization and analysis functionalities that are specific to oceanography. Its integration into Paraview enables efficient computation and optional support for a larger set of general-purpose filters for visual analysis. A case study on the Bay of Bengal, conducted together with an oceanographer collaborator, illustrates the use of pyParaOcean to explore eddies, ocean currents, and salinity movement in the Bay of Bengal. In future work, we will include support for additional filters for computing statistics, temporal data analysis, and correlation studies. We also plan to improve the runtime performance and conduct scalability tests for higher resolution ocean models before releasing the plugin as an open-source software.
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This paper is available on arxiv under CC 4.0 license.
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