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

Viewed

Total article views: 1,388 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
948 355 85 1,388 104 77
  • HTML: 948
  • PDF: 355
  • XML: 85
  • Total: 1,388
  • BibTeX: 104
  • EndNote: 77
Views and downloads (calculated since 23 Feb 2026)
Cumulative views and downloads (calculated since 23 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,388 (including HTML, PDF, and XML) Thereof 1,300 with geography defined and 88 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 15 Sep 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint