Encinas-Bartos Alex P, Aksamit Nikolas O, Haller George
Institute for Mechanical Systems, ETH Zürich, 8092 Zürich, Switzerland.
Chaos. 2022 Nov;32(11):113143. doi: 10.1063/5.0099859.
We employ a recently developed single-trajectory Lagrangian diagnostic tool, the trajectory rotation average ( TRA ¯ ), to visualize oceanic vortices (or eddies) from sparse drifter data. We apply the TRA ¯ to two drifter data sets that cover various oceanographic scales: the Grand Lagrangian Deployment and the Global Drifter Program. Based on the TRA ¯, we develop a general algorithm that extracts approximate eddy boundaries. We find that the TRA ¯ outperforms other available single-trajectory-based eddy detection methodologies on sparse drifter data and identifies eddies on scales that are unresolved by satellite-altimetry.
我们采用一种最近开发的单轨迹拉格朗日诊断工具——轨迹旋转平均值（TRA¯），从稀疏漂流浮标数据中可视化海洋涡旋（或涡流）。我们将TRA¯应用于两个涵盖各种海洋学尺度的漂流浮标数据集：大拉格朗日部署数据集和全球漂流浮标计划数据集。基于TRA¯，我们开发了一种提取近似涡旋边界的通用算法。我们发现，在稀疏漂流浮标数据方面，TRA¯优于其他现有的基于单轨迹的涡旋检测方法，并且能够识别卫星测高未解析尺度上的涡旋。
