A 25&thinsp;km daily gridded dataset of meteorological variables and high-impact weather events for new-type  power systems in China

Zhang, Feimin; Bi, Kaixuan; Chen, Xing; Yang, Yi; Yang, Fang; Wang, Chenghai

doi:10.5194/essd-18-3711-2026

Articles | Volume 18, issue 6

https://doi.org/10.5194/essd-18-3711-2026

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

https://doi.org/10.5194/essd-18-3711-2026

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

Articles | Volume 18, issue 6

Data description article

|

02 Jun 2026

Data description article |

| 02 Jun 2026

A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China

Feimin Zhang, Kaixuan Bi, Xing Chen, Yi Yang, Fang Yang, and Chenghai Wang

Data sets

A 25 km Daily Gridded Dataset of Meteorological Variables and High-Impact Weather Events for New-type Power Systems in China (1980–2016) F. Zhang et al. https://doi.org/10.12072/ncdc.nieer.db6972.2025

Short summary

The China New-type Power Systems Meteorological (CNPS-Met) dataset covers mainland China with a daily resolution and a 25 km grid. It includes eight meteorological variables and eleven high-impact weather events related to power generation, grid transmission, and electricity demand. CNPS-Met outperforms other existing datasets in accuracy for most meteorological variables. We also quantified the frequency hotspots and intensity extremes of high-impact weather events.