Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-7831-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-7831-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Development and technical paper
 | 
27 Oct 2025
Development and technical paper |  | 27 Oct 2025

Handling discontinuities in numerical ODE methods for Lagrangian oceanography

Jenny M. Mørk, Tor Nordam, and Siren Rühs

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Abascal, A. J., Castanedo, S., Fernández, V., and Medina, R.: Backtracking drifting objects using surface currents from high-frequency (HF) radar technology, Ocean Dynam., 62, 1073–1089, https://doi.org/10.1007/s10236-012-0546-4, 2012. a
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Aghito, M., Calgaro, L., Dagestad, K.-F., Ferrarin, C., Marcomini, A., Breivik, Ø., and Hole, L. R.: ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants, Geosci. Model Dev., 16, 2477–2494, https://doi.org/10.5194/gmd-16-2477-2023, 2023. a
Blanke, B. and Raynaud, S.: Kinematics of the Pacific Equatorial Undercurrent: An Eulerian and Lagrangian Approach from GCM Results, J. Phys. Oceanogr., 27, 1038–1053, https://doi.org/10.1175/1520-0485(1997)027<1038:KOTPEU>2.0.CO;2, 1997. a, b
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A common task in applied oceanography is to calculate the trajectories of floating objects in the ocean. We propose an alteration to some common numerical methods to improve their performance in such computations, and compare results with and without this alteration. This will help researchers to ensure they obtain a higher accuracy in their results without compromising on computer resources.
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