CC BY 4.0Free to use and share, including commercially, as long as you credit the creators.
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10.4 GB
How to cite
Duchenne, C., Jorge Do Marco, R., & Armand, P. (2026). Atmospheric dispersion simulations over the Paris Opera district using PMSS software [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20793612
Check the repository for the citation its authors prefer.
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.
Open-source successor to LANL's QUIC: a mass-conserving diagnostic wind solver on GPU (QES-Winds), a turbulence closure (QES-Turb) and Lagrangian dispersion (QES-Plume) for building-resolving runs much faster than real time.
Resulting data and source code for an inhomogeneous wind scheme for urban street canyons, validated against CFD. Useful for street-canyon pollutant dispersion parameterisation.
From Zenodo, added 2026-11-07.
Listed there as “Atmospheric dispersion simulations over the Paris Opera district using PMSS software”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.