Articles | Volume 18, issue 5
https://doi.org/10.5194/os-18-1491-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-1491-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Oct 2022
Research article |
| 20 Oct 2022
| 20 Oct 2022
Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods
Georges Baaklini
CORRESPONDING AUTHOR
LOCEAN Laboratory, Sorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, 4 place Jussieu, 75005 Paris, France
National Centre for Marine Sciences-CNRSL, P.O. Box 189, Jounieh, Lebanon
Roy El Hourany
Laboratoire d'Océanologie et de Géosciences, Univ. Littoral Côte d'Opale, Univ. Lille, CNRS, IRD, UMR 8187, LOG, 62930 Wimereux, France
Milad Fakhri
National Centre for Marine Sciences-CNRSL, P.O. Box 189, Jounieh, Lebanon
Julien Brajard
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Leila Issa
Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
Gina Fifani
LOCEAN Laboratory, Sorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, 4 place Jussieu, 75005 Paris, France
National Centre for Marine Sciences-CNRSL, P.O. Box 189, Jounieh, Lebanon
Laurent Mortier
LOCEAN Laboratory, Sorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, 4 place Jussieu, 75005 Paris, France
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Short summary
We use machine learning to analyze the long-term variation of the surface currents in the Levantine Sea, located in the eastern Mediterranean Sea. We decompose the circulation into groups based on their physical characteristics and analyze their spatial and temporal variability. We show that most structures of the Levantine Sea are becoming more energetic over time, despite those of the western area remaining the most dominant due to their complex bathymetry and strong currents.
We use machine learning to analyze the long-term variation of the surface currents in the...
