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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.