We visualize the detected eddies and events in a time series of images (or animation), enabling us to gain an intuitive understanding of a region of interest hidden in a high-resolution data set. By tracking how the classified eddies vary over time, it is possible to detect events such as eddy amalgamation and bifurcation as well as the interaction between eddies and ocean currents. The proposed method detects streams and currents in addition to eddies, and it classifies detected eddies into several categories using the additional stream and current information. In this study, we propose a new approach for eddy detection, tracking, and event visualization based on an eddy classification system. However, existing methods cannot accurately detect and track eddy events such as amalgamation and bifurcation. To gain an understanding of ocean eddies from the large volume of data produced by simulations, visualizing just the distribution of eddies at each time step is insufficient time-variations in eddy events and phenomena must also be considered. High-resolution ocean general circulation models have advanced the numerical study of ocean eddies.

Furthermore, our proposed method succeeded in clarifying the occurrence place and its seasonality of each type of eddy event. We visualize the detected eddies and events in a time series of images, allowing us to acquire an intuitive understanding of a region of interest concealed in a high-resolution data set. We adopt the proposed method for two ocean areas in which strong ocean currents exist as case studies. By tracking how the classified eddies vary over time, detecting events such as eddy amalgamation and bifurcation as well as the interaction between eddies and ocean currents becomes achievable. The proposed method detects streams and currents as well as eddies, and it classifies discovered eddies into several categories using the additional stream and current information. In this study, we propose an original approach for eddy detection, tracking, and event visualization based on an eddy classification system. However, existing methods cannot precisely find and track eddy events such as amalgamation and bifurcation. In order to understand ocean eddies from the large volume data produced by simulations, visualizing only eddy distribution at each time step is insufficient time-variations in eddy events and phenomena must also be considered.

Numerical study of ocean eddies has been carried out by using high-resolution ocean general circulation models.

Multi scatter plot