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Data portal · Method

Direct numerical simulation (DNS) datasets of urban-like flows

Direct numerical simulations resolve every scale of turbulence, which limits them to moderate Reynolds numbers and simple geometries such as cube arrays and rough walls. In return they give exact reference statistics for studying flow over urban-like roughness and for testing LES, wall models and parameterisations.

  • 3 resources
  • 3 simulation

All 3 resources, largest first

  1. Data for diffusion-based sensor placement and reconstruction of turbulent flows in urban environments from DNS. Useful for ML reconstruction.

    Simulation Simulation output DNSML / surrogate

    2026 · CC BY 4.0 · Paper: Causality analysis of large-scale structures in the flow around a wall-mounted square cylinder ↗

  2. Time and space data from direct numerical simulations of turbulent flow over regular cuboid arrays (DIPLOS geometry). Useful for urban canopy turbulence studies.

    Simulation Simulation output DNS

    2023 · CC BY 4.0 · Paper: Measurements and Computations of Flow in an Urban Street System ↗ +1

  3. LES and DNS datasets of velocity and concentration around a tall building in an aligned array of rectangular buildings, from the DIPLOS project. Useful for studying scalar fluxes and validating dispersion models.

    Simulation Simulation output LESDNS

    2017 · Paper: Scalar fluxes near a tall building in an aligned array of rectangular buildings ↗