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.
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.
the Creative Commons Attribution 4.0 License.
Data description article
| 
02 Jun 2026
Data description article |
| 02 Jun 2026
| 02 Jun 2026
A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China
Key Laboratory of Climate Resource Development and Disaster Prevention of Gansu Province, Research and Development Center of Earth System Model (RDCM), College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Kaixuan Bi
Key Laboratory of Climate Resource Development and Disaster Prevention of Gansu Province, Research and Development Center of Earth System Model (RDCM), College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Xing Chen
CORRESPONDING AUTHOR
Global Energy Interconnection Group Co., Ltd., Beijing, 100032, China
Yi Yang
Key Laboratory of Climate Resource Development and Disaster Prevention of Gansu Province, Research and Development Center of Earth System Model (RDCM), College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Fang Yang
Global Energy Interconnection Group Co., Ltd., Beijing, 100032, China
Chenghai Wang
Key Laboratory of Climate Resource Development and Disaster Prevention of Gansu Province, Research and Development Center of Earth System Model (RDCM), College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
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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.
The China New-type Power Systems Meteorological (CNPS-Met) dataset covers mainland China with a...
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