Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 10
Articles | Volume 21, issue 10
https://doi.org/10.5194/acp-21-7863-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-21-7863-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 10
Research article
 | 
25 May 2021
Research article |  | 25 May 2021

Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)

Jing Wei, Zhanqing Li, Rachel T. Pinker, Jun Wang, Lin Sun, Wenhao Xue, Runze Li, and Maureen Cribb

Viewed

Total article views: 6,793 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,228 1,475 90 6,793 97 155
  • HTML: 5,228
  • PDF: 1,475
  • XML: 90
  • Total: 6,793
  • BibTeX: 97
  • EndNote: 155
Views and downloads (calculated since 06 Jan 2021)
Cumulative views and downloads (calculated since 06 Jan 2021)

Viewed (geographical distribution)

Total article views: 6,793 (including HTML, PDF, and XML) Thereof 6,793 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
This study developed a space-time Light Gradient Boosting Machine (STLG) model to derive the high-temporal-resolution (1 h) and high-quality PM2.5 dataset in China (i.e., ChinaHighPM2.5) at a 5 km spatial resolution from the Himawari-8 Advanced Himawari Imager aerosol products. Our model outperforms most previous related studies with a much lower computation burden in terms of speed and memory, making it most suitable for real-time air pollution monitoring in China.
Read more
Share
Special issue
Satellite and ground-based remote sensing of aerosol optical,...
Altmetrics
Final-revised paper
Preprint