Articles | Volume 18, issue 5
Research article
20 Oct 2022
Research article |  | 20 Oct 2022

Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods

Georges Baaklini, Roy El Hourany, Milad Fakhri, Julien Brajard, Leila Issa, Gina Fifani, and Laurent Mortier


Total article views: 1,287 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,061 207 19 1,287 14 11
  • HTML: 1,061
  • PDF: 207
  • XML: 19
  • Total: 1,287
  • BibTeX: 14
  • EndNote: 11
Views and downloads (calculated since 26 Apr 2022)
Cumulative views and downloads (calculated since 26 Apr 2022)

Viewed (geographical distribution)

Total article views: 1,287 (including HTML, PDF, and XML) Thereof 1,199 with geography defined and 88 with unknown origin.
Country # Views %
  • 1
Latest update: 01 Mar 2024
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.