Near Surface Air Temperature Dataset for China with high temporal and spatial resolution generated using random forest and multi-source data (Samples)

The dataset presents the daily near surface air temperature of China with 1km spatial resolution, including daily average air temperature, maximum temperature and minimum air temperature. The dataset was generated using machine learning and multiple variables, the accuracy was:Tave, R2 = 0.97, RMSE = 1.61℃ and rRMSE = 13.24%; Tmax, R2 = 0.94, RMSE = 2.35℃ and rRMSE = 13.02%; Tmin, R2 = 0.95, RMSE = 2.04℃ and rRMSE = 27.09%).本数据集涵盖中国区域空间分辨率为1千米（km）的逐日近地表气温（daily near surface air temperature）数据，包含日平均气温、日最高气温与日最低气温三类指标。该数据集通过机器学习（machine learning）与多变量方法生成，其精度表现如下：日平均气温（Tave）的决定系数（R²）为0.97，均方根误差（RMSE）为1.61℃，相对均方根误差（rRMSE）为13.24%；日最高气温（Tmax）的R²为0.94，RMSE为2.35℃，rRMSE为13.02%；日最低气温（Tmin）的R²为0.95，RMSE为2.04℃，rRMSE为27.09%。