Preprints
https://doi.org/10.5194/essd-2022-77
https://doi.org/10.5194/essd-2022-77
25 Feb 2022
 | 25 Feb 2022
Status: this discussion paper is a preprint. It has been under review for the journal Earth System Science Data (ESSD). The manuscript was not accepted for further review after discussion.

SEIA: a scale-selective eddy identification algorithm for the global ocean

Yikai Yang, Lili Zeng, and Qiang Wang

Abstract. Automatic eddy identification algorithms are crucial for global eddy research. This study presents a scale-selective eddy identification algorithm (SEIA; https://github.com/Yk-Yang/SEIA) for the global ocean based on closed sea level anomalies (SLAs) that features two improvements in the detection and tracking processes. First, the scale-selective scheme replaces the previously used threshold for defining the eddy boundary and restricts the numbers of upper and lower grid points based on the data resolution and eddy spatial scale. Under such conditions, the eddy boundary is as large as possible, while the eddy region is not overestimated. Furthermore, a novel and effective overlap scheme is used to track eddies by calculating the intersecting ratio of time-step-successive eddies. SEIA generates 278,630 anticyclonic eddies and 274,351 cyclonic eddies from AVISO’s SLA dataset over a five-year period (2015–2019; http://www.doi.org/10.11922/sciencedb.o00035.00004; Yang et al., 2022). The global distribution of eddies, propagation speed, and eddy path characteristics in the Southern Ocean verify the validity of SEIA.

Yikai Yang, Lili Zeng, and Qiang Wang

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-77', Anonymous Referee #1, 03 Mar 2022
    • AC2: 'Reply on RC1', Lili Zeng, 09 Jul 2022
  • RC2: 'Comment on essd-2022-77', Anonymous Referee #2, 18 Mar 2022
    • AC1: 'Reply on RC2', Lili Zeng, 14 Jun 2022
  • CC1: 'Comment on essd-2022-77', Cheriyeri Poyil Abdulla, 18 Jun 2022
  • RC3: 'Comment on essd-2022-77', Anonymous Referee #3, 19 Jul 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-77', Anonymous Referee #1, 03 Mar 2022
    • AC2: 'Reply on RC1', Lili Zeng, 09 Jul 2022
  • RC2: 'Comment on essd-2022-77', Anonymous Referee #2, 18 Mar 2022
    • AC1: 'Reply on RC2', Lili Zeng, 14 Jun 2022
  • CC1: 'Comment on essd-2022-77', Cheriyeri Poyil Abdulla, 18 Jun 2022
  • RC3: 'Comment on essd-2022-77', Anonymous Referee #3, 19 Jul 2022
Yikai Yang, Lili Zeng, and Qiang Wang

Data sets

Five years (2015-2019) of global eddy product from SEIA Yikai Yang, Lili Zeng, Qiang Wang http://www.doi.org/10.11922/sciencedb.o00035.00004

Model code and software

A MATLAB- and SLA- based scale-selective eddy identification algorithm Yikai Yang, Lili Zeng, Qiang Wang https://github.com/Yk-Yang/SEIA

Yikai Yang, Lili Zeng, and Qiang Wang

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Short summary
The study of mesoscale eddies is highly reliant on the physical characteristics of the real ocean. In this study, we build an eddy identification algorithm that features two improvements over the previous ones. First, in the detection process, a scale-selective approach is employed to define the eddy boundary, avoiding the subjective constraint of the eddy shape. Second, a novel and effective overlap scheme is used to track eddies while taking into account their propagation characteristics.
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