Urban and rural surface-layer turbulence, Beijing and Xianghe: figure data
Field50 MB
Half-hourly time series, fluxes, quadrant and wavelet results behind the figures of the paper, from the 325 m Beijing tower and the 102 m Xianghe tower, July 2017.
CC BY 4.0Free to use and share, including commercially, as long as you credit the creators.
Size
50 MB
How to cite
Sun, Q., Zhang, L., Yang, Y., Wang, L., & Zhang, H. (2025). Data from: Comparison of turbulent transport dissimilarity and the role of coherent structures in the unstable surface layer between urban and rural areas [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17079070
Check the repository for the citation its authors prefer.
Processed turbulence statistics and 10 Hz fluctuation records for four case studies from the 325 m Beijing tower and the 102 m Xianghe tower, July 2017.
720 time-mean lattice-Boltzmann LES cases at 10 m resolution, 144 per city, spanning 16 wind directions, 3 reference speeds and 3 seasonal profiles, with 3D mean velocity and TKE plus building, terrain and footprint geometry. Very large (about 25 TB).
Hourly 2024 observations from 48 automatic weather stations across Shenzhen, including wind speed and direction, temperature, humidity and pressure. Useful for urban climate and wind analysis.
From Zenodo, added 2026-11-07.
Listed there as “Data from: Comparison of turbulent transport dissimilarity and the role of coherent structures in the unstable surface layer between urban and rural areas”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.