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.

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Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 Global Relief Model converted to PanMap layer format, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.769615, 2009. a
Campin, J.-M., Heimbach, P., Losch, M., Forget, G., edhill3; Adcroft, A., amolod, Menemenlis, D., dfer22, Hill, C., Jahn, O., Scott, J., stephdut, Mazloff, M., Fox-Kemper, B., antnguyen13, Doddridge, E., Fenty, I., Bates, M., AndrewEichmann-NOAA, Smith, T., Martin, T., Lauderdale, J., Abernathey, R., samarkhatiwala, hongandyan, Deremble, B., dngoldberg, Bourgault, P., and Dussin, R.: MITgcm/MITgcm: checkpoint67z, Zenodo [code], https://doi.org/10.5281/zenodo.4968496, 2021. a
Chapman, C. C.: New perspectives on frontal variability in the Southern Ocean, J. Phys. Oceanogr., 47, 1151–1168, https://doi.org/10.1175/JPO-D-16-0222.1, 2017. a, b
Chapman, C. C., Lea, M.-A., Meyer, A., Sallée, J.-B., and Hindell, M.: Defining Southern Ocean fronts and their influence on biological and physical processes in a changing climate, Nat. Clim. Change, 10, 209–219, https://doi.org/10.1038/s41558-020-0705-4, 2020. a, b, c, d, e, f
Cushman-Roisin, B. and Beckers, J.-M.: Introduction to geophysical fluid dynamics: physical and numerical aspects, Academic Press, ISBN 9780120887590, 2011. a
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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.