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Fixing broken link on contributing.rst
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docs/community/contributing.rst

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`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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The Parcels code, for which development started in 2015, is now one of the most widely used tools for Lagrangian Ocean Analysis. It's used by dozens of groups around the world - see `this list <https://oceanparcels.org/articles.html>`_ for a full list of the peer-reviewed articles using Parcels. Its flexibility for users to create new, custom 'behaviours' (i.e. let virtual particles be controlled by other mechanics than only the ocean flow) and its compatibility with many different types of hydrodynamic input data are the two key features.
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The Parcels code, for which development started in 2015, is now one of the most widely used tools for Lagrangian Ocean Analysis. It's used by dozens of groups around the world - see `this list <https://oceanparcels.org/papers-citing-parcels#papers-citing-parcels>`_ for a full list of the peer-reviewed articles using Parcels. Its flexibility for users to create new, custom 'behaviours' (i.e. let virtual particles be controlled by other mechanics than only the ocean flow) and its compatibility with many different types of hydrodynamic input data are the two key features.
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