U-Net prediction of urban flow and pollutant dispersion: example CFD and code
Simulation10 GB
Example CFD simulation and code for distributed training of a U-Net predicting urban aerodynamic flow and pollutant dispersion. Useful for ML surrogates of urban flow.
CC BY 4.0Free to use and share, including commercially, as long as you credit the creators.
Size
10.2 GB
How to cite
González, A., Castillo Catalán, M. I., chiva, S., & Iserte, S. (2026). Distributed Training of U-Net Architecture for Data-Driven Aerodynamic Flow and Pollutant Dispersion Prediction in Urban Environments - DATASET [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21674773
Check the repository for the citation its authors prefer.
Benchmark package for source inversion of urban pollution dispersion using building geometry and sparse sensors, including PPMLES/MUST summaries. Useful for testing inversion and sensing methods.
From Zenodo, added 2026-11-07.
Listed there as “Distributed Training of U-Net Architecture for Data-Driven Aerodynamic Flow and Pollutant Dispersion Prediction in Urban Environments - DATASET”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.