%0 Dataset
%T ChinaMet: A High-resolution Multi-element Meteorological Driving Dataset for China via Multi-source Data Fusion
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/21691d03-bef2-4800-924e-5614e7268b87
%W NCDC
%R 10.12072/ncdc.nieer.db6722.2025
%A Zhang Ling
%A HU yingyi
%A Zhao Yanbo
%A Che Tao
%K Relative humidity;ground pressure;evaporation;multi-source data fusion
%X ChinaMet is a high-resolution (1 km) and long-term (1980–2022) meteorological driving dataset for China, developed by fusing multi-source remote sensing data, reanalysis products, and observational data from over 2,000 meteorological stations. The dataset includes eight meteorological variables: precipitation (pre), mean 2-meter air temperature (tmpmean), maximum temperature (tmpmax), minimum temperature (tmpmin), 10-meter wind speed (wind), relative humidity (rhu), surface pressure (pres), and potential evapotranspiration (pet). The data span 1980–2022 with spatial resolutions of 0.1° and 0.01°, and temporal resolutions of annual/monthly/daily. Each file is named asChinaMet_%S_%V_%T.nc”, ‘%S’ represents the data space resolution, ‘%V’ represents the variable name, and ‘%T’ represents the time, e.g., 1982_01_01.