An analysis on OpenMetBuoy-v2021 drifter in-situ data and Lagrangian trajectory simulations in the Agulhas Current System
Bente Moerman, {\O}yvind Breivik, Lars R. Hole, Gaute Hope, and Johnny A. Johannessen, Jean Rabault

TL;DR
This study compares Lagrangian trajectory models and ocean surface current products against real drifter data in the Agulhas Current, finding that including wind and wave effects improves simulation accuracy.
Contribution
It evaluates and compares different Lagrangian models and ocean current datasets, and assesses the impact of wind and wave forcing on trajectory simulation accuracy.
Findings
Globcurrent showed the highest mean skill among ocean current products.
Adding Stokes drift and wind drift factor improved simulation performance.
Optimal wind drift factor was around 2%."
Abstract
In order to perform a sensitivity analysis of Lagrangian trajectory models, Lagrangian trajectory simulations have been compared to six OpenMetBuoy-v2021 drifter trajectories in the Agulhas Current System (Jan-Mar 2023). Three different Lagrangian trajectory simulations have been assessed: (1) two offline Lagrangian tracking tools, OpenDrift and Parcels, (2) three Eulerian ocean surface current products, HYCOM, Mercator and Globcurrent, and (3) the addition of wind and/or wave forcing parameterizations. The latter has also been evaluated by strong ocean current, high wind speed and Stokes drift regimes. Firstly, using the same time stepping scheme and linear interpolation methods, the different Lagrangian simulators OpenDrift and Parcels, performed identically. Secondly, the Globcurrent product showed the highest mean skill of the three ocean current products, although it…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications · Traffic Prediction and Management Techniques · High-Voltage Power Transmission Systems
