A Scalable System for Visual Analysis of Ocean Data
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
Abstract
Oceanographers rely on visual analysis to interpret model simulations, identify events and phenomena, and track dynamic ocean processes. The ever increasing resolution and complexity of ocean data due to its dynamic nature and multivariate relationships demands a scalable and adaptable visualization tool for interactive exploration. We introduce pyParaOcean, a scalable and interactive visualization system designed specifically for ocean data analysis. pyParaOcean offers specialized modules for common oceanographic analysis tasks, including eddy identification and salinity movement tracking. These modules seamlessly integrate with ParaView as filters, ensuring a user‐friendly and easy‐to‐use system while leveraging the parallelization capabilities of ParaView and a plethora of inbuilt general‐purpose visualization functionalities. The creation of an auxiliary dataset stored as a Cinema database helps address I/O and network bandwidth bottlenecks while supporting the generation of quick overview visualizations. We present a case study on the Bay of Bengal to demonstrate the utility of the system and scaling studies to evaluate the efficiency of the system.
Description
@article{10.1111:cgf.15279,
journal = {Computer Graphics Forum},
title = {{A Scalable System for Visual Analysis of Ocean Data}},
author = {Jain, Toshit and Singh, Upkar and Singh, Varun and Boda, Vijay Kumar and Hotz, Ingrid and Vadhiyar, Sathish S. and Vinayachandran, P. N. and Natarajan, Vijay},
year = {2025},
publisher = {Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.15279}
}