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Urban Fluid MechanicsSpecial Interest Group

Building-resolved wind fields over Camden, London, for scientific machine learning

Simulation 508 MB

41 PALM NetCDF files of building-resolved wind fields for Camden, London, for scientific machine learning.

Get the data

Zenodo DOI 10.5281/zenodo.21500592
Licence
CC BY 4.0 Free to use and share, including commercially, as long as you credit the creators.
Size
508 MB · 41 files
Formats
NetCDF

How to cite

Lu, K., Li, L., Piggott, M., & Fang, F. (2026). PALM-Simulated Urban Wind Fields over Camden for Scientific Machine Learning [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21500592

Check the repository for the citation its authors prefer.

Details

Resource
Simulation output
Method
LES, ML / surrogate
Geometry
Realistic neighbourhood
Topic
Wind loads & pedestrian wind
Quantities
Velocity
Codes / models
PALM
Location
Camden, London, UK · more from London, United Kingdom
Year
2026
Creators
Lu, Kechao; Li, Linfeng; Piggott, Matthew; Fang, Fangxin
Institution
Imperial College London

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All 36 resources on pedestrian wind & wind loads →

From Zenodo, added 2026-11-07. Listed there as “PALM-Simulated Urban Wind Fields over Camden for Scientific Machine Learning”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.