OceanTracker 0.5: fast adaptable Lagrangian particle tracking in structured and unstructured grids

Particle tracking is frequently used to compute particle movements within hydrodynamic ocean models; however, modelling millions of particles is computationally challenging. OceanTracker is designed to minimise the time required to obtain results from particle tracking. Firstly, by being computationally fast, it enables users to scale to large numbers of particles, thus obtaining better statistics or exploring a wider range of cases within acceptable run times. Secondly, OceanTracker can calculate multiple particle statistics during the computational run, eliminating the time needed to post-process large volumes of recorded particle trajectories. The adaptability of OceanTracker's modular computational pipeline allows users to add and modify components which govern particle physics, behaviour, and statistics. The computational pipeline is entirely assembled from user-provided parameters, supplied as a text file or built using helper methods. Coders can easily modify existing components through code inheritance. Currently, OceanTracker supports hydrodynamic model output for unstructured grids (SCHISM, FVCOM, DELFT3D-FM) and structured grids (ROMS, NEMO/GLORYS). Computing the trajectories for more than a million particles with OceanTracker on a single computer core is 35 times faster than the OpenDrift code and twice as fast as the Ocean Parcels code, despite treating structured grids as unstructured. As a result, on a basic laptop computers it can model one million particles for one month in less than one hour, or many more particles on better hardware. OceanTrackers design allows multiple variations of particle tracking to be configured to run in parallel.

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Publication Details

Journal
Geoscientific model development
Published
2026-10-28
DOI
https://doi.org/10.5194/gmd-19-10223-2026
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

OceanTracker 0.5: fast adaptable Lagrangian particle tracking in structured and unstructured grids

Romain Chaput, Malcolm Smeaton, Ross Vennell, Laurin Steidle
Geoscientific model development
Oceanographic and Atmospheric Processes
article

OceanTracker 0.5: fast adaptable Lagrangian particle tracking in structured and unstructured grids

Romain Chaput, Malcolm Smeaton, Ross Vennell, Laurin Steidle
article en

Abstract

Particle tracking is frequently used to compute particle movements within hydrodynamic ocean models; however, modelling millions of particles is computationally challenging. OceanTracker is designed to minimise the time required to obtain results from particle tracking. Firstly, by being computationally fast, it enables users to scale to large numbers of particles, thus obtaining better statistics or exploring a wider range of cases within acceptable run times. Secondly, OceanTracker can calculate multiple particle statistics during the computational run, eliminating the time needed to post-process large volumes of recorded particle trajectories. The adaptability of OceanTracker's modular computational pipeline allows users to add and modify components which govern particle physics, behaviour, and statistics. The computational pipeline is entirely assembled from user-provided parameters, supplied as a text file or built using helper methods. Coders can easily modify existing components through code inheritance. Currently, OceanTracker supports hydrodynamic model output for unstructured grids (SCHISM, FVCOM, DELFT3D-FM) and structured grids (ROMS, NEMO/GLORYS). Computing the trajectories for more than a million particles with OceanTracker on a single computer core is 35 times faster than the OpenDrift code and twice as fast as the Ocean Parcels code, despite treating structured grids as unstructured. As a result, on a basic laptop computers it can model one million particles for one month in less than one hour, or many more particles on better hardware. OceanTrackers design allows multiple variations of particle tracking to be configured to run in parallel.

Geoscientific model developmentVol. 19(20)
Universität Hamburg (DE), Cawthron Institute (NZ)
Deutsche Forschungsgemeinschaft, Ministry of Business, Innovation and Employment
Life below water
Openalex Percentile: Top 100%
Oceanographic and Atmospheric Processes
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