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

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

doi:https://doi.org/10.5194/npg-27-501-2020

Articles | Volume 27, issue 4

https://doi.org/10.5194/npg-27-501-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-27-501-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 4

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

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Final revised paper (published on 14 Nov 2020)
Preprint (discussion started on 29 May 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Reviewer report for "Detecting flow features in scarce trajectory ..."', Anonymous Referee #1, 26 Jun 2020
- AC1: 'Answer to Anonymous Referee #1', David Wichmann, 20 Aug 2020
RC2: 'Reviewer report', Anonymous Referee #2, 05 Jul 2020
- AC2: 'Answer to Anonymous Referee #2', David Wichmann, 20 Aug 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by David Wichmann on behalf of the Authors (20 Aug 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (27 Aug 2020) by Ana M. Mancho

RR by Anonymous Referee #2 (08 Sep 2020)

ED: Publish subject to minor revisions (review by editor) (08 Sep 2020) by Ana M. Mancho

AR by David Wichmann on behalf of the Authors (11 Sep 2020) Author's response Manuscript

ED: Publish as is (23 Sep 2020) by Ana M. Mancho

AR by David Wichmann on behalf of the Authors (30 Sep 2020)

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.