A Scalable System for Visual Analysis of Ocean Data

Simple item page
dc.contributor.authorJain, Toshiten_US
dc.contributor.authorSingh, Upkaren_US
dc.contributor.authorSingh, Varunen_US
dc.contributor.authorBoda, Vijay Kumaren_US
dc.contributor.authorHotz, Ingriden_US
dc.contributor.authorVadhiyar, Sathish S.en_US
dc.contributor.authorVinayachandran, P. N.en_US
dc.contributor.authorNatarajan, Vijayen_US
dc.date.accessioned2025-03-07T16:49:01Z
dc.date.available2025-03-07T16:49:01Z
dc.date.issued2025
dc.description.abstractOceanographers 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.en_US
dc.description.number1
dc.description.sectionheadersOriginal Article
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.15279
dc.identifier.issn1467-8659
dc.identifier.pages19
dc.identifier.urihttps://doi.org/10.1111/cgf.15279
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15279
dc.publisherEurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.subjectinteraction
dc.subjecthuman‐computer interfaces
dc.subjectvisualization
dc.subjectscientific visualization
dc.subject• Human‐centred computing → Visualization techniques; Scientific visualization
dc.titleA Scalable System for Visual Analysis of Ocean Dataen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
17_cgf15279.pdf
Size:
5.01 MB
Format:
Adobe Portable Document Format
Download
Collections
44-Issue 1