`Lagrangian Ocean Analysis <https://doi.org/10.1016/j.ocemod.2017.11.008>`_ is one of the primary modelling tools available to oceanographers to understand how ocean currents transport material. This modelling approach allows researchers to model the ocean and understand the `movement of water <https://doi.org/10.1029/2023GL105662>`_ in the ocean itself (or even `on other planets <https://doi.org/10.3847/1538-4357/ac9d94>`_), as well as the transport of `nutrients <https://doi.org/10.1029/2023GL108001>`_, `marine organisms <https://doi.org/10.3354/meps14526>`_, `oil <https://doi.org/10.1590/0001-3765202220210391>`_, `plastic <https://doi.org/10.1038/s41561-023-01216-0>`_, as well as `almost <https://doi.org/10.1016/j.robot.2024.104730>`_ `anything <https://doi.org/10.1111/cobi.14295>`_ `else <https://doi.org/10.1016/j.marpolbul.2023.115254>`_ that would be adrift at sea. Since ocean currents play a key role in climate by storing heat and carbon, and also in the formation of the 'plastic soup', understanding transport phenomena in the ocean is crucial to support a more sustainable future.
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