Abstract
Analysis of vortices is very important from the aspects of marine environment and disaster prevention. With the development of supercomputers, three-dimensional simulations of large-scale objects such as the ocean have been conducted. In ocean current simulations, multi-scale unstructured grids have been employed to precisely reproduce the topography of the seafloor and coastal areas. However, calculating vortices from unstructured grid data using the derivative of the flow velocity requires time-consuming data interpolation. Therefore, in this study, we calculate the covariance matrix using the velocity of each triangular column in the local region. The eigenvalues are used to define vorticity. In order to visualize the obtained vortices, the unstructured grid data are converted into point cloud data. In addition, the point density is adjusted according to the obtained vortices, and the opacity is changed. With the proposed method, we could visualize vortex regions with ambiguous boundaries correctly. During the visualization, we analyzed the causal relationship between the vortices and physical quantities such as flow velocity and salinity obtained from simulation by merging them into the visualization.
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Kamisaka, S. et al. (2022). Opacity-Gradation-Based Visualization of Vortices for Large-Scale Ocean Simulation. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1712. Springer, Singapore. https://doi.org/10.1007/978-981-19-9198-1_18
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DOI: https://doi.org/10.1007/978-981-19-9198-1_18
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