--- title: U3DWind canonical_url: "https://www.modelscope.cn/datasets/ZXX0926/U3DWind" md_url: "https://www.modelscope.cn/datasets/ZXX0926/U3DWind.md" repository: ZXX0926/U3DWind last_updated: 2026-10-14 license: cc-by-nc-sa-4.0 storage_size: "23 TB" downloads: 237520 stars: 4 --- # U3DWind > U3DWind - ZXX0926 在 ModelScope 开源的数据集。Time-mean three-dimensional urban wind fields over five Chinese cities, computed with the CULBM lattice-Boltzmann large-eddy solver on a uniform 10 m grid. Each city has 144 cases: 16 inflow directions x 3 reference… ZXX0926/U3DWind 是 ModelScope 魔搭社区上的数据集，存储大小 23 TB，采用 cc-by-nc-sa-4.0 许可。 - **Repository**: ZXX0926/U3DWind - **License**: cc-by-nc-sa-4.0 - **Storage size**: 23 TB - **Downloads**: 237520 - **Stars**: 4 - **Last updated**: 2026-10-14 Source: https://www.modelscope.cn/datasets/ZXX0926/U3DWind --- # U3DWind Time-mean three-dimensional urban wind fields over five Chinese cities, computed with the CULBM lattice-Boltzmann large-eddy solver on a uniform 10 m grid. Each city has 144 cases: 16 inflow directions x 3 reference speeds x 3 inflow profiles, 720 cases in total. | Folder | Centre (N, E) | Domain, east x north | Horizontal cells | | --- | --- | --- | --- | | `beijing` | 39.9050, 116.4040 | 50 km x 40 km | 5000 x 4000 | | `shanghai` | 31.2300, 121.4737 | 45 km x 35 km | 4500 x 3500 | | `guangzhou` | 23.1290, 113.2640 | 40 km x 35 km | 4000 x 3500 | | `shenzhen` | 22.5400, 114.0580 | 35 km x 25 km | 3500 x 2500 | | `hongkong` | 22.3320, 114.1700 | 30 km x 25 km | 3000 x 2500 | The grid has slightly more than 100 levels in the vertical; the exact number depends on the terrain relief of the city and is given by the `z` dimension. ## Layout / u_/ang_/ mean_global.nc fields on the Cartesian grid mean_agl.nc the same fields on levels above the local terrain conf.luwpf solver configuration of the case profile.dat inflow speed profile, height above ground vs speed geometry/ _DEM.stl terrain and building solid used by the solver buildings.gpkg building footprints with their heights terrain.tif terrain elevation, 25 m grid interpolated_dem.csv terrain height above the lowest point summary.json projection, extents and statistics PROVENANCE.md sources of every geometric input - `SS` is the reference speed at 10 m above ground: `03`, `06` or `09` m/s. - `profile` is `annual`, `summer` (April-September) or `winter` (October-March); it selects the power-law exponent of the inflow profile. - `DDD.D` is the direction the wind comes from, in degrees clockwise from north, in steps of 22.5. A single case is 20 to 50 GB. To download one: modelscope download --dataset ZXX0926/U3DWind \ --include "hongkong/u06_annual/ang_090.0/*" --local_dir U3DWind ## Variables | Name | Units | Meaning | | --- | --- | --- | | `u`, `v`, `w` | m s-1 | time-mean velocity towards east, north and up | | `tke` | m2 s-2 | resolved turbulent kinetic energy | | `rho` | kg m-3 | time-mean air density | | `fluid` | - | 1 in air, 0 inside terrain or buildings | | `ground_z`, `first_level_height` | m | AGL file only: terrain height and the height of level 0 above it | Fields are 32-bit floats stored as NetCDF-4 with shuffle and deflate. The means cover the last 2000 of 50 000 time steps, sampled every 10 steps. ## Coordinates `x` points east and `y` north, in metres from the south-west corner of the domain, in a transverse Mercator projection centred on the city centre with scale factor 1; the projection string of each city is in `/geometry/summary.json`. In `mean_global.nc`, `z` is the height above the lowest terrain point of the domain. In `mean_agl.nc`, `level` is the height above the first grid plane over the local terrain. ## Inputs Buildings and their heights come from 3D-GloBFP (Che et al., 2024), terrain from FABDEM V1-2 (Hawker et al., 2022). `PROVENANCE.md` lists the tiles, identifiers and processing steps. The inflow is a power-law profile with synthetic turbulence (intensity 5 %, length scale 100 m); the atmosphere is neutral, temperature transport is not computed and the Coriolis force is not included. `PROVENANCE.md` also names the solver build. ## Limitations - A 10 m grid represents building height in steps of 10 m. A building lower than about 12 m is either one cell high or absent from the solid, and taller ones can be up to one cell lower than in the source data. - 3D-GloBFP heights are estimates from Earth-observation features. They are too low for tall buildings, and landmark towers are not reproduced; the tallest building per city is 157 m (Beijing) to 338 m (Shanghai). - Buildings are flat-roofed prisms; vegetation is not represented. - The power-law exponents come from reanalysis wind speeds at one point per city, and the inlet turbulence parameters are prescribed constants. ## Licence CC BY-NC-SA 4.0. The terrain derives from FABDEM, which is licensed for non-commercial use.