Articles | Volume 27, issue 4
https://doi.org/10.5194/npg-27-501-2020
https://doi.org/10.5194/npg-27-501-2020
Research article
 | 
14 Nov 2020
Research article |  | 14 Nov 2020

Detecting flow features in scarce trajectory data using networks derived from symbolic itineraries: an application to surface drifters in the North Atlantic

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

Viewed

Total article views: 2,853 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,097 658 98 2,853 82 87
  • HTML: 2,097
  • PDF: 658
  • XML: 98
  • Total: 2,853
  • BibTeX: 82
  • EndNote: 87
Views and downloads (calculated since 29 May 2020)
Cumulative views and downloads (calculated since 29 May 2020)

Viewed (geographical distribution)

Total article views: 2,853 (including HTML, PDF, and XML) Thereof 2,561 with geography defined and 292 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
The surface transport of heat, nutrients and plastic in the North Atlantic Ocean is organized into large-scale flow structures. We propose a new and simple method to detect such features in ocean drifter data sets by identifying groups of trajectories with similar dynamical behaviour using network theory. We successfully detect well-known regions such as the Subpolar and Subtropical gyres, the Western Boundary Current region and the Caribbean Sea.
Share