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

Data sets

The General Bathymetric Chart of the Oceans International Hydrographic Organization (IHO) and the Intergovernmental Oceanographic Commission (IOC)

Ssalto/Duacs multimission altimeter products CNES/CLS/European Copernicus Marine Service

SOM-HAC_Levantine_Sea Georges Baaklini

db_med24_nc_1986_2016_kri05 Milena Menna, Riccardo Gerin, Antonio Bussani, and Pierre-Marie Poulain

Model code and software

SOM-Toolbox Esa Alhoniemi, Johan Himberg, Jukka Parviainen, and Juha Vesanto

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.