Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 6
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

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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.
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