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-[ ] Closes #xxxx
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-[ ] Tests added
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-[ ] This PR targets the correct branch (`main` for normal development, `v3-support` for v3 support)
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### AI Disclosure
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<!--- Please review our AI & contribution guidelines (https://docs.oceanparcels.org/en/main/development/policies.html#use-of-ai-in-development). Remove this section if your PR does not contain AI-generated content. --->
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-[ ] This PR contains AI-generated content.
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-[ ] I have tested any AI-generated content in my PR.
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-[ ] I take responsibility for any AI-generated content in my PR.
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- Describe how you used it (e.g., by pasting your prompt):
locked: false # TODO: Remove once v7 of the lock file is removed, or once we stop having external source dependencies https://github.com/Parcels-code/Parcels/pull/2550#issuecomment-4088660238
locked: false # TODO: Remove once v7 of the lock file is removed, or once we stop having external source dependencies https://github.com/Parcels-code/Parcels/pull/2550#issuecomment-4088660238
locked: false # TODO: Remove once v7 of the lock file is removed, or once we stop having external source dependencies https://github.com/Parcels-code/Parcels/pull/2550#issuecomment-4088660238
locked: false # TODO: Remove once v7 of the lock file is removed, or once we stop having external source dependencies https://github.com/Parcels-code/Parcels/pull/2550#issuecomment-4088660238
Copy file name to clipboardExpand all lines: docs/getting_started/tutorial_output.ipynb
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Note that if you are running Parcels on multiple processors with `mpirun`, you will need to concatenate the files of each processor, see also the [MPI documentation](https://docs.oceanparcels.org/en/latest/examples/documentation_MPI.html#Reading-in-the-ParticleFile-data-in-zarr-format).\n",
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"\n",
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"Also, once you have loaded the data as an `xarray` DataSet using `xr.open_zarr()`, you can always save the file to NetCDF if you prefer with the `.to_netcdf()` method.\n"
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"Once you have loaded the data as an `xarray` DataSet using `xr.open_zarr()`, you can always save the file to NetCDF if you prefer with the `.to_netcdf()` method.\n"
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