DNS of urban turbulent flow for sensor placement and reconstruction (Diff-SPORT)
Simulation 36 GB
Data for diffusion-based sensor placement and reconstruction of turbulent flows in urban environments from DNS. Useful for ML reconstruction.
- Resource
- Simulation output
- Method
- DNS, ML / surrogate
- Geometry
- Idealised array
- Topic
- Urban boundary layer
- Quantities
- Velocity, Turbulence statistics
- Data volume
- 35.5 GB
- Year
- 2026
- Licence
- CC BY 4.0
- Creators
- Vishwasrao, Abhijeet; Vinuesa, Ricardo; Vanderwel, Christina; Lim, Haoxiang Desmond
- Institution
- University of Michigan; University of Southampton
Linked publications
Papers that describe or use this resource. If you use it, cite this paper and the dataset DOI.
From Zenodo, added 2026-11-07. Listed there as “Data for Diff-SPORT: Diffusion-based sensor placement optimization and reconstruction of turbulent flows in urban environments”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.