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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.

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Licence
CC BY Free to use and share, including commercially, as long as you credit the creators.
Size
50 MB

How to cite

Lu, Y., Zhou, X., Xiao, H., & Li, Q. (2022). Data files associated with the U-net prediction of urban canopy flow [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7075696

Check the repository for the citation its authors prefer.

Details

Resource
Simulation output
Method
LES, ML / surrogate
Geometry
Idealised array
Topic
Urban boundary layer
Quantities
Velocity
Year
2022
Creators
Lu, Yanle; Zhou, Xuhui; Xiao, Heng; Li, Qi
Institution
Cornell University; Virginia Tech

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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.