Published July 16, 2024
| Version v0.1 (preprint)
Dataset
Open
Precomputed data accompanying the paper "Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics"
Description
Together with the python code in https://github.com/rik-stra/tau_orthogonal_method_for_2D_turbulence, this dataset lets the user interact with and reproduce the results in the paper "Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics".
All data in this dataset is computed with the provided code.
Files
pre_computed_data.zip
Files
(2.5 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:538152af70026767a16b9f1ecf5590f6
|
2.5 GB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/rik-stra/tau_orthogonal_method_for_2D_turbulence (URL)
Funding
- Dutch Research Council
- Learning small closure models for large multiscale problems OCENW.M.21.053
- SURF
- Small Compute applications EINF-9277