ChinaHighPM2.5

ChinaHighPM2.5 dataset >

ChinaHighPM2.5 refers to the high-resolution and high-quality PM2.5 data (µg m-3) for China, which is one of the series of the high-resolution and high-quality ground-level air pollutants in China (i.e., ChinaHighAirPollutants, CHAP). It is generated using satellite remote sensing and artificial intelligence, which combined the ground-based measurements, remote sensing products, atmospheric reanalysis, and model simulations, and solved the spatiotemporal heterogeneity of air pollution. It includes 1 km and 10 km (full coverage) daily PM2.5 data in China since 2000.

Usage criteria >

This dataset should not be utilized for commercial purposes. Encourage users to carry out interdisciplinary studies on environmental health and publish high-quality academic papers.

For any academic papers, dissertations, research reports, and environmental protection or meteorological departments that uses the data set, please cite the related publications and acknowledge the data sources.

Download >

  • ChinaHighPM2.5 (MODIS, 1 km, 2000–2020)

https://doi.org/10.5281/zenodo.3753614

  • ChinaHighPM2.5 (Full coverage, 10 km, 2013–2020)

https://doi.org/10.5281/zenodo.4641555

Reference >

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, 3273–3289. https://doi.org/10.5194/acp-20-3273-2020

Contact information >

Note that this dataset is continuously updated, and if you have any question or need higher-resolution data, please contact Dr. Jing Wei.
Email：weijing_rs@163.com；weijing.rs@gmail.com