Published March 27, 2021 | Version 1
Dataset Restricted

ChinaHighPM10: Big Data Seamless 10 km Ground-level PM10 Dataset for China (Closed)

Creators

  • 1. University of Maryland

Description

ChinaHighPM10 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 10 km (i.e., D10K, M10K, and Y10K) ground-level ground-level PM10 products in China from 2013 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.86 and a root-mean-square error (RMSE) of 24.34 µg m-3 on a daily basis.

Note that this dataset is closed access since a longer-term, high-resolution (1 km), and higher quality ChinaHighPM10 dataset is available at:  http://doi.org/10.5281/zenodo.3752465

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

Notes

Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Related works

Is referenced by
Journal article: 10.1016/j.envint.2020.106290 (DOI)
Journal article: 10.1016/j.rse.2020.112136 (DOI)

References

  • Wei, J., Li, Z., Xue, W., Sun, L., Fan, T., Liu, L., Su, T., and Cribb, M. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China. Environment International, 2021, 146, 106290. https://doi.org/10.1016/j.envint.2020.106290
  • Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China. Remote Sensing of Environment, 2022, 269, 112775. https://doi.org/10.1016/j.rse.2021.112775