Articles | Volume 28, issue 1
Nonlin. Processes Geophys., 28, 43–59, 2021
Nonlin. Processes Geophys., 28, 43–59, 2021

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 et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by David Wichmann on behalf of the Authors (19 Oct 2020)  Author's response    Manuscript
ED: Publish as is (03 Nov 2020) by Juan Restrepo
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.