ChinaHighTEMmin: Big Data Seamless 1 km Air Temperature (Daily Minimum) Dataset for China (2003-Present)

ChinaHighTEM is one of the series of long-term, full-coverage, high-resolution, and high-quality air quality datasets for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence. 

This is the big data-derived seamless (spatial coverage = 100%) daily minimum 1 km air temperature (TEMmin) dataset in China from 2003 to the present, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) reaching 0.98 and a root-mean-square error (RMSE) of 1.53 ℃.

If you use the ChinaHighTEMmin dataset for related scientific research, please cite the corresponding reference (Wang et al., SD, 2024):

Wang, M., Wei, J., Wang, X., Luan, Q., and Xu, X. Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022. Scientific Data, 2024, 11, 1133. https://doi.org/10.1038/s41597-024-03980-z

More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html