Articles | Volume 32, issue 4
https://doi.org/10.5194/npg-32-411-2025
https://doi.org/10.5194/npg-32-411-2025
Research article
 | 
20 Oct 2025
Research article |  | 20 Oct 2025

Quantifying variability in Lagrangian particle dispersal in ocean ensemble simulations: an information theory approach

Claudio M. Pierard, Siren Rühs, Laura Gómez-Navarro, Michael Charles Denes, Florian Meirer, Thierry Penduff, and Erik van Sebille

Model code and software

Model code C. M. Pierard https://github.com/OceanParcels/NEMO_Ensemble_Lagrangian_Analysis.git

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Short summary
Particle-tracking simulations compute how ocean currents transport material. However, initializing these simulations is often ad hoc. Here, we explore how two different strategies (releasing particles over space or over time) compare. Specifically, we compare the variability in particle trajectories to the variability of particles computed in a 50-member ensemble simulation. We find that releasing the particles over 20 weeks gives variability that is most like that in the ensemble.
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