LES of urban canopy flow with U-Net predictions
Simulation 50 MB
LES velocity fields over urban canopies with inputs and U-net predicted fields, including perturbed cases. Useful for training and testing ML surrogates of urban flow.
- Resource
- Simulation output
- Method
- LES, ML / surrogate
- Geometry
- Idealised array
- Topic
- Urban boundary layer
- Quantities
- Velocity
- Data volume
- 50 MB
- Year
- 2022
- Licence
- CC BY
- Creators
- Lu, Yanle; Zhou, Xuhui; Xiao, Heng; Li, Qi
- Institution
- Cornell University; Virginia Tech
From Zenodo, added 2026-11-07. Listed there as “Data files associated with the U-net prediction of urban canopy flow”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.