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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Feb 2024
Research article |
| 20 Feb 2024
| 20 Feb 2024
Unsupervised classification of the northwestern European seas based on satellite altimetry data
Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
now at: National Centre for Climate Research, Danish Meteorological Institute, Copenhagen, Denmark
Dani Jones
British Antarctic Survey, NERC, UKRI, Cambridge, UK
Simon D. A. Thomas
British Antarctic Survey, NERC, UKRI, Cambridge, UK
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK
Céline Heuzé
Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
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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.
In this study we use a machine learning method called a Gaussian mixture model to divide part of...
