Sampling Functionalities in FastEddy (Point-wise and Plane-wise)

[Armin-Ha]

Dear FastEddy Development Team,

I am currently working with FastEddy and would like to clarify whether sampling functionalities are already implemented in the model. Specifically, I am interested in:

1. Point-wise sampling, similar to the tslist feature in the WRF model, which allows extraction of time series at specified locations.
2. Plane-wise sampling, for extracting data across defined planes (e.g., horizontal or vertical slices).

Could you please confirm if these capabilities exist in the current implementation? If not, are there any plans or recommended approaches for achieving similar functionality?

Best regards,
Armin

[jprestop]

Hi @Armin-Ha. Thanks for your question. I noticed you also opened an Issue in the FastEddy-model repository, which I’ve converted to a Discussion under the Desired New Capabilities category. We use GitHub Discussions to handle Q&A for FastEddy.

At present, point-wise and plane-wise sampling functionalities are not yet implemented in the model. However, these features are key development goals for our next planned release in April 2026. We appreciate your interest and feedback!

[Armin-Ha]

Hi @jprestop,

I would appreciate it if you could share any updates on the current status of this development, or whether the planned timeline remains unchanged. Thank you again for your support and for keeping the community informed of ongoing developments.

Best regards,
Armin

[jprestop]

Hi @Armin-Ha.

Thank you for your continued interest in FastEddy.

Point-wise and plane-wise sampling are still planned for the upcoming release. Our target timeline is still roughly aligned with the original plan, though the release may slip by a few weeks as we finalize development and testing.

If you’re able to share, we’d be interested in learning more about how you plan to use these sampling capabilities and your broader FastEddy work. Thanks again for your engagement with the project.

[Armin-Ha]

Hi @jprestop,

Thank you very much for the update. I’m happy to hear that point-wise and plane-wise sampling are still planned and very much look forward to these capabilities becoming available in FastEddy.

My primary application domain is wind resource assessment. The overarching goal is to reduce uncertainty in measured and estimated wind statistics (such as wind speed, wind shear, and turbulence intensity) across a wind farm, and consequently reduce uncertainty in turbine load calculations and energy yield estimates.

More specifically, we aim to use high‑resolution LES to horizontally propagate measured wind statistics from a limited number of measurement locations (e.g., meteorological masts or lidar systems) across the full spatial extent of a wind farm. Point‑wise sampling would be extremely valuable for direct comparison with met‑mast or lidar data, while plane‑wise sampling would enable detailed analysis of flow structures and their impacts on wind turbines.

In addition, we plan to use FastEddy as part of my participation in IEA Wind Task 57 (WINSENT benchmark https://iea-wind.org/task57/). The objective of this task is to benchmark and validate wind‑farm flow models, ranging from simplified engineering approaches to high‑fidelity LES, against high‑quality experimental and field datasets, with a particular focus on wake physics, induction effects, and atmospheric boundary‑layer interactions. Sampling capabilities are therefore essential for extracting LES results at relevant locations and planes in a form that is directly comparable to the WINSENT measurement data and benchmarking metrics.

[jprestop]

Thank you for this interesting information @Armin-Ha.  We look forward to hearing more.  Please check back in a couple weeks for the v5.0 release.

[Armin-Ha]

Hi @jprestop,

Thanks again for your support and for sharing updates on the sampling roadmap.

I wanted to ask one additional question. If you prefer, I can post this in a separate thread: do you currently provide, or plan to provide, a Python-enabled version of FastEddy (for example, Python bindings or a callable Python API)?

We are interested in coupling FastEddy with our wind turbine aeroelastic solver for actuator line simulations and for calculating turbine structural and aerodynamic loads (including fatigue- and extreme-load metrics) under realistic atmospheric inflow and wake. In that context, a Python interface would significantly simplify orchestration, data exchange, and benchmarking workflows.

If this is already available, I would greatly appreciate any documentation or examples. If not, I would be very interested to know whether this is on your roadmap.

Thanks again.

[jprestop]

Hi @Armin-Ha.

We don’t currently provide a Python interface for FastEddy. Before considering that approach, it would be helpful for us to learn more about how you envision using it. We have a few questions.

Can you tell us more about how you plan to couple FastEddy with your aeroelastic solver?
What role would a Python interface play in your workflow?
What added value do you see compared to your current approach?
Are there any specific requirements or constraints?

This context would help us better understand the potential use cases and whether/how something like this might fit into future development.

If it's easier to discuss, we're also open to setting up a short meeting to talk through your workflow in more detail.

[Armin-Ha]

Hi @jprestop,

Thanks a lot, appreciate the quick response. I’ll follow up with an email shortly with more details and answers to your questions.