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ChinaHighPM2.5: Big Data Seamless 1 km Ground-level PM2.5 Dataset for China

大数据 中国 环境科学 计算机科学 遥感 数据挖掘 地理 考古
作者
Jing Wei,Zhanqing Li
出处
期刊:CERN European Organization for Nuclear Research - Zenodo 被引量:7
标识
DOI:10.5281/zenodo.3539349
摘要

ChinaHighPM2.5 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level PM2.5 dataset in China from 2000 to 2022. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.92, a root-mean-square error (RMSE) of 10.76 µg m-3, and a mean absolute error (MAE) of 6.32 µg m-3 on a daily basis. If you use the ChinaHighPM2.5 dataset for related scientific research, please cite the below-listed corresponding references first (Wei et al., RSE, 2021; Wei et al., ACP, 2020), and the reference will be updated once our new paper is accepted. Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136 Wei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustin, A., Liu, L., Wu, H., and Song, Y. Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees. Atmospheric Chemistry and Physics, 2020, 20(6), 3273–3289. https://doi.org/10.5194/acp-20-3273-2020 The data is continuously updated, and all (including daily) data for the year 2022 is accessible at: ChinaHighPM2.5 (2022) more is coming soon... More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html

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