Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 28, issue 1
Articles | Volume 28, issue 1
https://doi.org/10.5194/npg-28-43-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-28-43-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 1
Research article
 | 
19 Jan 2021
Research article |  | 19 Jan 2021

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

David Wichmann, Christian Kehl, Henk A. Dijkstra, and Erik van Sebille

Viewed

Total article views: 3,241 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,404 755 82 3,241 103 86
  • HTML: 2,404
  • PDF: 755
  • XML: 82
  • Total: 3,241
  • BibTeX: 103
  • EndNote: 86
Views and downloads (calculated since 29 Jun 2020)
Cumulative views and downloads (calculated since 29 Jun 2020)

Viewed (geographical distribution)

Total article views: 3,241 (including HTML, PDF, and XML) Thereof 3,000 with geography defined and 241 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Jun 2025
Download
Short summary
Fluid parcels transported in complicated flows often contain subsets of particles that stay close over finite time intervals. We propose a new method for detecting finite-time coherent sets based on the density-based clustering technique of ordering points to identify the clustering structure (OPTICS). Unlike previous methods, our method has an intrinsic notion of coherent sets at different spatial scales. OPTICS is readily implemented in the SciPy sklearn package, making it easy to use.
Read more
Share