Parcels v4 paper by VeckoTheGecko · Pull Request #2838 · Parcels-code/Parcels

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

VeckoTheGecko · 2026-08-18T10:50:18Z

No description provided.

VeckoTheGecko · 2026-08-19T05:22:11Z

@fluidnumericsJoe This is where we're writing the paper for JOSS :) . I've put a first draft together, it would be great to have your review on it. No particular rush - @erikvansebille is on leave until the 31st now - but thought I would give you a heads up. Happy to discuss when we next meet.

VeckoTheGecko · 2026-08-19T05:24:40Z

Looking through the section requirements for JOSS, the paper should also have a "State of the field" section. Maybe would be best if you write that @erikvansebille ? Happy to hear your thoughts too @fluidnumericsJoe of course.

VeckoTheGecko · 2026-08-31T07:19:12Z

note to self: fset=fset+fset

And references

erikvansebille

Some detailed textual suggestions and questions below

erikvansebille · 2026-09-03T13:46:27Z

In the spirit of reproducibility, is it an idea to also provide the code that created this figure? So that others can adapt it?

erikvansebille · 2026-09-03T13:49:27Z

+@article{Hoyer2017,
+ title = "xarray: {N-D} labeled Arrays and Datasets in Python",
+ author = "Hoyer, Stephan and Hamman, Joe",
+ abstract = "xarray is an open source project and Python package that


abstracts are not needed for the references. Remove them to reduce clutter?

erikvansebille · 2026-09-03T13:53:17Z

+ index: 1
+ - name: Fluid Numerics, Hickory, NC, USA
+ index: 2
+date: 17 August 2026


Don't forget to update this just before submission

erikvansebille · 2026-09-03T13:54:32Z

+# Summary
+
+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.


Is @Delandmeter the right reference for Xarray here? Better to cite https://doi.org/10.5334/jors.148?

erikvansebille · 2026-09-03T13:55:20Z

+Parcels [@Lange2017; @Delandmeter2019] is a highly customisable Lagrangian simulation framework.
+Version 4 of the software is a major update which overhauls the software internals to natively leverage Xarray [@Delandmeter2019] dataset objects.
+This makes Parcels compatable with many new data formats (e.g., Zarr, Icechunk) and execution modes (e.g., streaming data from cloud buckets or other data providers - such as the [Copernicus Marine Data Store](https://marine.copernicus.eu/)).
+With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.


Suggested change
With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

erikvansebille · 2026-09-03T14:07:54Z

+A key use-case of the Parcels version 4 is the combining of various model data which not only have different sources, but also very different grid geometries.
+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.


Suggested change
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

erikvansebille · 2026-09-03T14:09:04Z

+In this section we present an example simulation focused on the Dutch coast.
+
+We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.


Suggested change
The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

erikvansebille · 2026-09-03T14:13:51Z

+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
+
+![](./usecase_plot.png)


If the caption is indeed between brackets, then for example
Suggested change
![](./usecase_plot.png)
![Figure 2: Trajectories of almost 5,000 particles seeded near the port of Rotterdam in The Netherlands. Trajectories are coloured by start date, and final locations of the particles are marked by circles. The mesh of the unstructured flow model (DCSM-FM) is shown in grey, the mesh of the rectilinear Copernicusmarine wind model is shown in red, and the mesh of the curvilinear KNMI wave model is shown in blue.](./usecase_plot.png)

erikvansebille · 2026-09-03T14:14:02Z

+The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
+We seed particles along the Dutch coast, and within estuaries facing the North Sea.
+We advect the particles for a total of a month (from 2025-11-01 to 2025-12-01) with a timestep of 10 minutes.
+The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.


Suggested change
The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

erikvansebille · 2026-09-03T14:15:20Z

+# Research impact statement
+
+Parcels has been cited in over 330 peer reviewed scientific papers so far mostly within the field of oceanography.
+This software update expands the reach of Parcels both to more users within oceanography, and in other domains.


Perhaps move the sentences above about dropping "ocean" to here?

Add docs/paper-v4 folder
2a2b66d

github-project-automationBot moved this to Backlog in Parcels development Aug 18, 2026

github-project-automationBot added this to Parcels development Aug 18, 2026

VeckoTheGeckoand others added 8 commits August 18, 2026 18:50

Merge branch 'main' into paper-v4
587aca5

Adding scripts for running and plotting usecase
4285cba

Initial draft
e474c96

Update to one sentence per line
ad4c56d

Review feedback from@erikvansebille
d9fe5eb

Personal review edits
279f14b

Add placeholder "State of the field" section
ae78c57

Add some citations
88b2e88

Cleanup
f7676ec

VeckoTheGecko commented Aug 31, 2026
View reviewed changes

Comment threaddocs/paper-v4/data-ingestion.png
VeckoTheGeckoAug 31, 2026
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note to self: fset=fset+fset

VeckoTheGecko commented Aug 31, 2026
View reviewed changes

Comment threaddocs/paper-v4/paper.md

erikvansebille added 2 commits September 3, 2026 15:44

Adding State of the Field paragraph
be9612d
And references

update references
55d63fc

erikvansebille reviewed Sep 3, 2026
View reviewed changes

Add docs/paper-v4 folder
2a2b66d

github-project-automationBot moved this to Backlog in Parcels development Aug 18, 2026

github-project-automationBot added this to Parcels development Aug 18, 2026

VeckoTheGeckoand others added 8 commits August 18, 2026 18:50

Merge branch 'main' into paper-v4
587aca5

Adding scripts for running and plotting usecase
4285cba

Initial draft
e474c96

Update to one sentence per line
ad4c56d

Review feedback from@erikvansebille
d9fe5eb

Personal review edits
279f14b

Add placeholder "State of the field" section
ae78c57

Add some citations
88b2e88

Cleanup
f7676ec

VeckoTheGecko commented Aug 31, 2026
View reviewed changes

Comment threaddocs/paper-v4/data-ingestion.png
VeckoTheGeckoAug 31, 2026
Copy link
Copy Markdown
ContributorAuthor
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note to self: fset=fset+fset

VeckoTheGecko commented Aug 31, 2026
View reviewed changes

Comment threaddocs/paper-v4/paper.md

erikvansebille added 2 commits September 3, 2026 15:44

Adding State of the Field paragraph
be9612d
And references

update references
55d63fc

erikvansebille reviewed Sep 3, 2026
View reviewed changes

Add docs/paper-v4 folder
2a2b66d

github-project-automationBot moved this to Backlog in Parcels development Aug 18, 2026

github-project-automationBot added this to Parcels development Aug 18, 2026

VeckoTheGeckoand others added 8 commits August 18, 2026 18:50

Merge branch 'main' into paper-v4
587aca5

Adding scripts for running and plotting usecase
4285cba

Initial draft
e474c96

Update to one sentence per line
ad4c56d

Review feedback from@erikvansebille
d9fe5eb

Personal review edits
279f14b

Add placeholder "State of the field" section
ae78c57

Add some citations
88b2e88

Cleanup
f7676ec

VeckoTheGecko commented Aug 31, 2026
View reviewed changes

Comment threaddocs/paper-v4/data-ingestion.png
VeckoTheGeckoAug 31, 2026
Copy link
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ContributorAuthor
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note to self: fset=fset+fset

VeckoTheGecko commented Aug 31, 2026
View reviewed changes

Comment threaddocs/paper-v4/paper.md

erikvansebille added 2 commits September 3, 2026 15:44

Adding State of the Field paragraph
be9612d
And references

update references
55d63fc

erikvansebille reviewed Sep 3, 2026
View reviewed changes

Add docs/paper-v4 folder
2a2b66d

github-project-automationBot moved this to Backlog in Parcels development Aug 18, 2026

github-project-automationBot added this to Parcels development Aug 18, 2026

VeckoTheGeckoand others added 8 commits August 18, 2026 18:50

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note to self: fset=fset+fset

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note to self: fset=fset+fset

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	With this update Parcels also adds several new features, including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.
	With this update, Parcels also adds several new features including support for unstructured grid datasets (enabling simulations on (combinations of) different grid geometries), support for custom interpolators (surfacing to scientists even more control over the numerics of their simulation), and trajectory output in Parquet format.

	We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from Rijkswaterstad, and wind model data from Copernicusmarine.
	We combine flow data from Deltares’ 3D DCSM-FM model, SWAN Wave model data from KNMI, and wind model data from Copernicusmarine.

	The 3D DCSM-FM model is an unstructured model, while the other two use structured mesh geometries.
	The 3D DCSM-FM model is an unstructured model, SWAN has a structured curvilear grid, and Copernicusmarine provides data on a structured rectilinear grid geometry.

	The figure below shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.
	Figure 2 shows the varied types of data and grid geometries that we combine, along with the resulting particle tracks.

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