A hybrid identification and tracking of Lagrangian mesoscale eddies

Automatic identification and tracking of mesoscale eddies are crucial in large oceanic observational numerical model data. This work proposes a fully automated method that identifies tracks from single Lagrangian advection, all eddies, without prior knowledge their lifespans. The eddies' detection use hybrid based on geometrical properties the evolving velocity along trajectories grid density-based clustering algorithm. high monitoring capacity proposed is demonstrated by automatically identifying these structures two different datasets: satellite-derived surface geostrophic fields two-dimensional fluid simulation. approach gives complete dynamical features evolution detected genesis event, coherent core, describing splitting vanishing image.