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A Winding Angle Framework for Tracking and Exploring Eddy Transport in Oceanic Ensemble Simulations
Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.ORCID iD: 0000-0002-5469-1324
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Scientific Visualization Group)ORCID iD: 0000-0003-1511-5006
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7285-0483
2021 (English)In: Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Oceanic eddies, which are highly mass-coherent vortices traveling through the earth's waters, are of special interest for their mixing properties. Therefore, large-scale ensemble simulations are performed to approximate their possible evolution. Analyzing their development and transport behavior requires a stable extraction of both their shape and properties of water masses within. We present a framework for extracting the time series of full 3D eddy geometries based on an winding angle criterion. Our analysis tools enables users to explore the results in-depth by linking extracted volumes to extensive statistics collected across several ensemble members. The methods are showcased on an ensemble simulation of the Red Sea. We show that our extraction produces stable and coherent geometries even for highly irregular eddies in the Red Sea. These capabilities are utilized to evaluate the stability of our method with respect to variations of user-defined parameters. Feedback gathered from domain experts was very positive and indicates that our methods will be considered for newly simulated, even larger data sets.

Place, publisher, year, edition, pages
The Eurographics Association , 2021.
Keywords [en]
Eddy extraction, Tracking, Visual exploration, Oceanic ensemble simulation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-177625DOI: 10.2312/envirvis.20211079OAI: oai:DiVA.org:liu-177625DiVA, id: diva2:1575600
Conference
EnvirVis: Workshop on Visualisation in Environmental Sciences (EnvirVis2021)
Funder
Swedish Foundation for Strategic Research, BD15-0082Available from: 2021-06-30 Created: 2021-06-30 Last updated: 2024-01-02

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Publisher's full texthttps://diglib.eg.org/handle/10.2312/envirvis20211079

Authority records

Falk, MartinHotz, Ingrid

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Friederici, AnkeFalk, MartinHotz, Ingrid
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • text
  • asciidoc
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