TY  - Data
T1  - A 25 km Daily Gridded Dataset of Meteorological Variables and High-Impact Weather Events for New-type Power Systems in China
A1  - ZHANG Feimin 
A1  - BI Kaixuan 
A1  - CHEN Xing 
A1  - YANG Fang 
A1  - YANG Yi 
A1  - WANG Chenghai   
A1  - ZHAO Zijian 
A1  - MA Zhiyuan 
DO  - 10.12072/ncdc.nieer.db6972.2025
PY  - 2025
DA  - 2025-10-13
PB  - National Cryosphere Desert Data Center
AB  - This dataset is derived from ERA5 atmospheric reanalysis data and ground-based meteorological observations across China. By employing a research-developed adaptive optimal interpolation assimilation method that accounts for the spatial distribution of observational stations, a daily gridded meteorological dataset with a spatial resolution of 25 km has been constructed. It covers mainland China (excluding territorial waters) and is tailored to support the new-type power systems. The dataset also includes high-impact weather events closely associated with the generation-side, grid-side, and demand-side of the new-type power systems. Its English designation is the China New-type Power Systems Meteorological dataset (CNPS-Met). This dataset provides a foundational resource for advancing interdisciplinary research and applications bridging meteorology and new-type power systems. Dataset files are named in the format: CNPS_Type_History_Daily_Variable_CCYY.nc, with all times provided in Coordinated Universal Time (UTC). Here, “Type” denotes the category related to meteorology and the components of the new-type power system, abbreviated as: Meteo (meteorological), Generation (generation-side), Grid (grid-side), and Demand (demand-side). “Variable” refers to the abbreviated variable name, and “CCYY” indicates the year (e.g., 1980). The meteorological variables include: tas (mean temperature at 2 m), tmax (maximum temperature at 2 m), tmin (minimum temperature at 2 m), precip (accumulated precipitation), wind (mean wind speed at 10 m), rhum (mean relative humidity at 2 m), shum (mean specific humidity at 2 m), pres (mean surface pressure). The high-impact weather events for the generation-side include: Vout (cut-out wind speed), Vin (cut-in wind speed), Lowrad (low solar radiation), Tmaxg (extreme high temperature), Tming (extreme low temperature). The high-impact weather events for the grid-side include: Icing (Ice accretion), Snowing (Snowfall), and Galloping (Conductor gal
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/a9074934-5e17-444f-ad2e-418daf0850b7
ER  -