Articles | Volume 17, issue 6
Ocean Sci., 17, 1545–1562, 2021
https://doi.org/10.5194/os-17-1545-2021
Ocean Sci., 17, 1545–1562, 2021
https://doi.org/10.5194/os-17-1545-2021

Research article 02 Nov 2021

Research article | 02 Nov 2021

Defining Southern Ocean fronts using unsupervised classification

Simon D. A. Thomas et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-40', Anonymous Referee #1, 24 Jul 2021
    • AC1: 'Reply on RC1', Simon Thomas, 11 Sep 2021
  • RC2: 'Comment on os-2021-40', Anonymous Referee #2, 26 Jul 2021
    • AC2: 'Reply on RC2', Simon Thomas, 11 Sep 2021
  • RC3: 'Comment on os-2021-40', Anonymous Referee #3, 14 Aug 2021
    • AC3: 'Reply on RC3', Simon Thomas, 11 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Simon Thomas on behalf of the Authors (11 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (16 Sep 2021) by Katsuro Katsumata
Download
Short summary
We propose a probabilistic method and a new inter-class comparison metric for highlighting fronts in the Southern Ocean. We compare it with an image processing method that provides a more localised view of fronts that effectively highlights sharp jets. These two complementary approaches offer two views of Southern Ocean structure: the probabilistic method highlights boundaries between coherent thermohaline structures across the entire Southern Ocean, whereas edge detection highlights local jets.