Published June 23, 2026 | Version v2

Random Buildings dataset

Authors/Creators

  • 1. ROR icon Électricité de France (France)

Description

Dataset of paper "Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments"

This is a dataset of microscale atmospheric flow around various randomly generated urban geometries and for different atmospheric stability classes.

See https://github.com/cerea-daml/abswift for associated code.

 

V2: includes large-scale examples, i.e. simulations with more buildings, spread over a larger area.

See https://github.com/cerea-daml/domain-extension

Files

random_buildings_dataset.zip

Files (3.6 GB)

Name Size
md5:1ddf9d1dd31095a498379f7384c7f55c
3.6 GB Preview Download

Additional details

Related works

Is described by
Preprint: arXiv:2603.25635 (arXiv)
Preprint: arXiv:2606.14597 (arXiv)

Funding

Association Nationale de la Recherche et de la Technologie
2023/1614
Électricité de France (France)
Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Software

Repository URL
https://github.com/cerea-daml/abswift
Programming language
Python
Development Status
Unsupported