A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field

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dc.contributor.authorHua, Weipingen_US
dc.contributor.authorBemis, Karenen_US
dc.contributor.authorKang, Dujuanen_US
dc.contributor.authorOzer, Sedaten_US
dc.contributor.authorSilver, Deborahen_US
dc.contributor.editorDutta, Soumyaen_US
dc.contributor.editorFeige, Kathrinen_US
dc.contributor.editorRink, Karstenen_US
dc.contributor.editorZeckzer, Dirken_US
dc.date.accessioned2023-06-10T06:06:05Z
dc.date.available2023-06-10T06:06:05Z
dc.date.issued2023
dc.description.abstractEddy detection is a critical task for ocean scientists to understand and analyze ocean circulation. In this paper, we introduce a hybrid eddy detection approach that combines sea surface height (SSH) and velocity fields with geometric criteria defining eddy behavior. Our approach searches for SSH minima and maxima, which oceanographers expect to find at the center of eddies. Geometric criteria are used to verify expected velocity field properties, such as net rotation and symmetry, by tracing velocity components along a circular path surrounding each eddy center. Progressive searches outward and into deeper layers yield each eddy's 3D region of influence. Isolation of each eddy structure from the dataset, using it's cylindrical footprint, facilitates visualization of internal eddy structures using horizontal velocity, vertical velocity, temperature and salinity. A quantitative comparison of Okubo-Weiss vorticity (OW) thresholding, the standard winding angle, and this new SSH-velocity hybrid methods of eddy detection as applied to the Red Sea dataset suggests that detection results are highly dependent on the choices of method, thresholds, and criteria. Our new SSH-velocity hybrid detection approach has the advantages of providing eddy structures with verified rotation properties, 3D visualization of the internal structure of physical properties, and rapid efficient estimations of eddy footprints without calculating streamlines. Our approach combines visualization of internal structure and tracking overall movement to support the study of the transport mechanisms key to understanding the interaction of nutrient distribution and ocean circulation. Our method is applied to three different datasets to showcase the generality of its application.en_US
dc.description.sectionheadersAnalysis and Exploration of Hydrological Data
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.identifier.doi10.2312/envirvis.20231101
dc.identifier.isbn978-3-03868-223-3
dc.identifier.pages9-16
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/envirvis.20231101
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/envirvis20231101
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Feature Detection-Scientific Visualization-Visualization techniques; Eddy structures-Oceangeography; Segmentation
dc.subjectFeature Detection
dc.subjectScientific Visualization
dc.subjectVisualization techniques
dc.subjectEddy structures
dc.subjectOceangeography
dc.subjectSegmentation
dc.titleA Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Fielden_US
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