Data portal Pedestrian wind & wind loads FLICK: fast urban wind-field prediction from building geometry FLICK: fast urban wind-field prediction from building geometry Simulation 112 MB
Open-source Python package for fast urban wind-field prediction from geometry.
Get the code Licence AGPL-3.0 Copyleft open-source licence: use and change it freely, but share any distributed changes under the same licence. This also applies when it is run as a network service.
Size 112 MB
How to cite Copy citation Hernandez, F., Calafell, J., Lehmkuhl, O., & Rodríguez, I. (2026). fabianhr21/FLICK: FLICK v0.1.1 [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.22232776
Please also cite the publication below that describes it.
Details Resource Software & tools Method ML / surrogate Geometry City scale Topic Wind loads & pedestrian wind Quantities Velocity Codes / models FLICK Year 2026 Creators Hernandez, Fabian; Calafell, Joan; Lehmkuhl, Oriol; Rodríguez, Ivette Institution Barcelona Supercomputing Center; Universitat Politècnica de Catalunya Linked publications Papers that describe or use this resource.
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From Zenodo, added 2026-11-07.
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