A Scalable System for Visual Analysis of Ocean Data.
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| Title: | A Scalable System for Visual Analysis of Ocean Data. |
|---|---|
| Authors: | Jain, Toshit1 (AUTHOR) f20170201h@alumni.bits-pilani.ac.in, Singh, Upkar1 (AUTHOR) upkarsingh@iisc.ac.in, Singh, Varun1 (AUTHOR) f20180869@goa.bits-pilani.ac.in, Boda, Vijay Kumar1 (AUTHOR) kbvijay@alum.iisc.ac.in, Hotz, Ingrid1,2 (AUTHOR) ingrid.hotz@liu.se, Vadhiyar, Sathish S.3 (AUTHOR) vss@iisc.ac.in, Vinayachandran, P. N.4 (AUTHOR) vinay@iisc.ac.in, Natarajan, Vijay1,5 (AUTHOR) vijayn@iisc.ac.in |
| Source: | Computer Graphics Forum. Feb2025, Vol. 44 Issue 1, p1-19. 19p. |
| Subjects: | Task analysis, Scientific visualization, Databases, Systems design, Oceanographers |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 183820850 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Scalable System for Visual Analysis of Ocean Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jain%2C+Toshit%22">Jain, Toshit</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> f20170201h@alumni.bits-pilani.ac.in</i><br /><searchLink fieldCode="AR" term="%22Singh%2C+Upkar%22">Singh, Upkar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> upkarsingh@iisc.ac.in</i><br /><searchLink fieldCode="AR" term="%22Singh%2C+Varun%22">Singh, Varun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> f20180869@goa.bits-pilani.ac.in</i><br /><searchLink fieldCode="AR" term="%22Boda%2C+Vijay+Kumar%22">Boda, Vijay Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kbvijay@alum.iisc.ac.in</i><br /><searchLink fieldCode="AR" term="%22Hotz%2C+Ingrid%22">Hotz, Ingrid</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ingrid.hotz@liu.se</i><br /><searchLink fieldCode="AR" term="%22Vadhiyar%2C+Sathish+S%2E%22">Vadhiyar, Sathish S.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> vss@iisc.ac.in</i><br /><searchLink fieldCode="AR" term="%22Vinayachandran%2C+P%2E+N%2E%22">Vinayachandran, P. N.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> vinay@iisc.ac.in</i><br /><searchLink fieldCode="AR" term="%22Natarajan%2C+Vijay%22">Natarajan, Vijay</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<i> vijayn@iisc.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Feb2025, Vol. 44 Issue 1, p1-19. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Task+analysis%22">Task analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+visualization%22">Scientific visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Oceanographers%22">Oceanographers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cgf.15279 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1 Subjects: – SubjectFull: Task analysis Type: general – SubjectFull: Scientific visualization Type: general – SubjectFull: Databases Type: general – SubjectFull: Systems design Type: general – SubjectFull: Oceanographers Type: general Titles: – TitleFull: A Scalable System for Visual Analysis of Ocean Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jain, Toshit – PersonEntity: Name: NameFull: Singh, Upkar – PersonEntity: Name: NameFull: Singh, Varun – PersonEntity: Name: NameFull: Boda, Vijay Kumar – PersonEntity: Name: NameFull: Hotz, Ingrid – PersonEntity: Name: NameFull: Vadhiyar, Sathish S. – PersonEntity: Name: NameFull: Vinayachandran, P. N. – PersonEntity: Name: NameFull: Natarajan, Vijay IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01677055 Numbering: – Type: volume Value: 44 – Type: issue Value: 1 Titles: – TitleFull: Computer Graphics Forum Type: main |
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