A 1&thinsp;km hourly high-resolution 3D wind field dataset over the Yangtze River Delta incorporating dynamical downscaling, observational assimilation, and land use updates

Zhang, Zhengyan; Liu, Yan-An; Ma, Xinjian; Li, Zhenglong; Xu, Pengbo; Zhang, Juan; Min, Min; Di, Di; Li, Bo; Li, Jun

doi:10.5194/essd-18-1683-2026

Articles | Volume 18, issue 3

https://doi.org/10.5194/essd-18-1683-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-1683-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Data description article

|

04 Mar 2026

Data description article |

| 04 Mar 2026

A 1 km hourly high-resolution 3D wind field dataset over the Yangtze River Delta incorporating dynamical downscaling, observational assimilation, and land use updates

Zhengyan Zhang, Yan-An Liu, Xinjian Ma, Zhenglong Li, Pengbo Xu, Juan Zhang, Min Min, Di Di, Bo Li, and Jun Li

Data sets

A 1 km Hourly High-Resolution 3D Wind Field Dataset over the Yangtze River Delta during June-August 2021-2023 Zhengyan Zhang and Yan-An Liu https://doi.org/10.57760/sciencedb.23752

Short summary

We developed a three-dimensional wind dataset for the Yangtze River Delta with hourly information at one-kilometer resolution for the summers from 2021 to 2023. Using atmospheric modeling combined with ground observations and land surface data, the dataset represents local wind behavior more accurately than existing products. It supports studies of extreme weather, air pollution transport, wind energy planning, and low-altitude airspace safety in rapidly urbanizing regions.