Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: Detecting Agulhas rings in the South Atlantic Ocean

Keyphrases

• Optics 100%
• South Atlantic Ocean 100%
• Agulhas Rings 100%
• Lagrangian Particles 100%
• Finite-time Coherent Sets 100%
• Particle Data 100%
• Trajectory Data 75%
• Lagrangian Trajectories 75%
• Clustering Methods 50%
• Vortex 50%
• Coherent Particle 50%
• Hierarchical Structure 25%
• Ocean Models 25%
• Eddies 25%
• Density-based Spatial Clustering of Applications with Noise (DBSCAN) 25%
• Graph Partitioning 25%
• Fluid Flow 25%
• Trajectory Basis 25%
• Background Flow 25%
• Partitioning Method 25%
• Jet Model 25%
• Background Noise 25%
• Spectral Embedding 25%
• Mean Clustering 25%
• Hierarchical Clustering 25%
• Virtual Trajectory 25%
• Spectral Clustering 25%
• Clustering Structure 25%
• Density-based Clustering Algorithm 25%
• Data Clustering Techniques 25%
• Partitional Clustering 25%
• Small-scale Vortices 25%
• Classical multidimensional Scaling 25%
• Noising Method 25%
• Active Research 25%
• Clustering Results 25%
• Varying Density 25%

Earth and Planetary Sciences

• South Atlantic Ocean 100%
• Ocean Models 50%
• Fluid Flow 50%
• Background Noise 50%
• Clustering 50%