A Scalable System for Visual Analysis of Ocean Data
Toshit Jain, Upkar Singh, Varun Singh, Vijay Kumar Boda, Ingrid Hotz,, Sathish S. Vadhiyar, P. N. Vinayachandran, Vijay Natarajan

TL;DR
This paper introduces pyParaOcean, a scalable, interactive visualization system tailored for ocean data analysis, enabling efficient exploration of complex, high-resolution oceanographic datasets with specialized modules and optimized data handling.
Contribution
The paper presents pyParaOcean, a novel scalable visualization system with integrated oceanographic analysis modules and optimized data management, enhancing interactive exploration of large ocean datasets.
Findings
Demonstrated system utility through a Bay of Bengal case study.
Showed system scalability and efficiency in handling large datasets.
Integrated specialized modules for eddy detection and salinity tracking.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
