Ocean Science
Ocean Science
OS
Articles | Volume 22, issue 1
Articles | Volume 22, issue 1
https://doi.org/10.5194/os-22-49-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-22-49-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 1
Research article
 | 
07 Jan 2026
Research article |  | 07 Jan 2026

Using surface drifters to characterise near-surface ocean dynamics in the southern North Sea: a data-driven approach

Jimena Medina-Rubio, Madlene Nussbaum, Ton S. van den Bremer, and Erik van Sebille

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Short summary
We study how tides, wind, and waves interact at the ocean surface by tracking ultra-thin drifters released in the southern North Sea for two months. Using model data together with data-driven machine learning models, we determine the relative contribution of each forcing mechanism in driving the drifters' velocity and improve the prediction of their trajectories. We also test the generalisability of this method by applying it to the same drifters in the Tyrrhenian Sea.
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