Quasi-Objective Eddy Visualization from Sparse Drifter Data
arXiv:2111.14117 · doi:10.1063/5.0099859
Abstract
We employ a recently developed single-trajectory Lagrangian diagnostic tool, the trajectory rotation average , to visualize oceanic vortices (or eddies) from sparse drifter data. We apply the to two drifter data sets that cover various oceanographic scales: the Grand Lagrangian Deployment (GLAD) and the Global Drifter Program (GDP). Based on the , we develop a general algorithm that extracts approximate eddy boundaries. We find that the outperforms other available single-trajectory-based eddy detection methodologies on sparse drifter data and identifies eddies on scales that are unresolved by satellite-altimetry.
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