FLICK: fast urban wind-field prediction from building geometry

Simulation 112 MB

Open-source Python package for fast urban wind-field prediction from geometry.

Resource: Software & tools
Method: ML / surrogate
Geometry: City scale
Topic: Wind loads & pedestrian wind
Quantities: Velocity
Codes / models: FLICK
Data volume: 112 MB
Year: 2026
Licence: AGPL-3.0
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. If you use it, cite this paper and the dataset DOI.

Building a general and data-efficient convolutional neural network-based model for fast urban flow estimation (2026)

From Zenodo, added 2026-11-07. Listed there as “fabianhr21/FLICK: FLICK v0.1.1”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.