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

ChinaHighTEM is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the big data-derived seamless (spatial coverage = 100%) daily 1 km (i.e., D1K) minimum air temperature (TEMmin) dataset for China from 2003 to the present. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.98 and a root-mean-square error (RMSE) of 1.53 ℃ on a daily basis. If you use the ChinaHighTEMmin dataset in your scientific research, please cite the following 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 for different air pollutants are available at: https://weijing-rs.github.io/product.html