Articles | Volume 20, issue 6
https://doi.org/10.5194/os-20-1707-2024
© 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-20-1707-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Dec 2024
Research article |
| 18 Dec 2024
| 18 Dec 2024
Monitoring the coastal–offshore water interactions in the Levantine Sea using ocean color and deep supervised learning
Georges Baaklini
CORRESPONDING AUTHOR
LOCEAN Laboratory, Sorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, 4 place Jussieu, 75005 Paris, France
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
Laurent Mortier
LOCEAN Laboratory, Sorbonne University, UPMC Univ Paris 06 CNRS-IRD-MNHN, 4 place Jussieu, 75005 Paris, France
Roy El Hourany
Laboratoire d'Océanologie et de Géosciences, Univ. Littoral Côte d'Opale, Univ. Lille, CNRS, IRD, UMR 8187, LOG, 62930 Wimereux, France
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Short summary
Understanding the flow of the Levantine Sea surface current is not straightforward. We propose a study based on learning techniques to follow interactions between water near the shore and further out at sea. Our results show changes in the coastal currents past 33.8° E, with frequent instances of water breaking away along the Lebanese coast. These events happen quickly and sometimes lead to long-lasting eddies. This study underscores the need for direct observations to improve our knowledge.
Understanding the flow of the Levantine Sea surface current is not straightforward. We propose a...
