Articles | Volume 17, issue 6
Research article
02 Nov 2021
Research article |  | 02 Nov 2021

Defining Southern Ocean fronts using unsupervised classification

Simon D. A. Thomas, Daniel C. Jones, Anita Faul, Erik Mackie, and Etienne Pauthenet

Data sets

B-SOSE iteration 106 A. Verdy and M. Mazloff

Model code and software

so-wise/so-fronts: Defining Southern Ocean fronts using unsupervised classification (Version v0.2) S. D. A. Thomas

MITgcm/MITgcm: checkpoint67z J.-M. Campin, P. Heimbach, M. Losch, G. Forget, edhill3, A. Adcroft, amolod, D. Menemenlis, dfer22, C. Hill, O. Jahn, J. Scott, stephdut, M. Mazloff, B. Fox-Kemper, antnguyen13, E. Doddridge, I. Fenty, M. Bates, AndrewEichmann-NOAA, T. Smith, T. Martin, J. Lauderdale, R. Abernathey, samarkhatiwala, hongandyan, B. Deremble, dngoldberg, P. Bourgault, and R. Dussin

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.