Ocean Science
Ocean Science
OS
Articles | Volume 20, issue 1
Articles | Volume 20, issue 1
https://doi.org/10.5194/os-20-201-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-20-201-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 1
Research article
 | 
20 Feb 2024
Research article |  | 20 Feb 2024

Unsupervised classification of the northwestern European seas based on satellite altimetry data

Lea Poropat, Dani Jones, Simon D. A. Thomas, and Céline Heuzé

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Short summary
In this study we use a machine learning method called a Gaussian mixture model to divide part of the ocean (northwestern European seas and part of the Atlantic Ocean) into regions based on satellite observations of sea level. This helps us study each of these regions separately and learn more about what causes sea level changes there. We find that the ocean is first divided based on bathymetry and then based on other features such as water masses and typical atmospheric conditions.
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