A Lagrangian Method for Extracting Eddy Boundaries in the Red Sea and the Gulf of Aden
Supplemental Material - Parameter Studies: The params file contains further parameter studies, regarding the core selection, integration time and threshold chosen.
Supplementary Material - Video: The video summarizes the problem of Red Sea eddy shape extraction visually. Related methods are judged by the ability to work automatically and produce mass-coherent results. Our method is quickly summarized. Then, all time slices are shown wth the different core lines, our error measurement (E_c) and the resulting boundaries.
Mahamadou Kele, Habib Toye
KAUST DepartmentEarth Science and Engineering Program
Physical Sciences and Engineering (PSE) Division
Computer Science Program
Visual Computing Center (VCC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Online Publication Date2019-09-05
Print Publication Date2018-10
Permanent link to this recordhttp://hdl.handle.net/10754/656836
MetadataShow full item record
AbstractMesoscale ocean eddies play a major role for both the intermixing of water and the transport of biological mass. This makes the identification and tracking of their shape, location and deformation over time highly important for a number of applications. While eddies maintain a roughly circular shape in the free ocean, the narrow basins of the Red Sea and Gulf of Aden lead to the formation of irregular eddy shapes that existing methods struggle to identify. We propose the following model: Inside an eddy, particles rotate around a common core and thereby remain at a constant distance under a certain parametrization. The transition to the more unpredictable flow on the outside can thus be identified as the eddy boundary. We apply this algorithm on a realistic simulation of the Red Sea circulation, where we are able to identify the shape of irregular eddies robustly and more coherently than previous methods. We visualize the eddies as tubes in space-time to enable the analysis of their movement and deformation over several weeks.
SponsorsThis work was supported in part by funding from King Abdullah University of Science and Technology (KAUST).
Conference/Event name2018 IEEE Scientific Visualization Conference (SciVis)