Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 8
Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-3741-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3741-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 8
Data description article
 | 
04 Aug 2025
Data description article |  | 04 Aug 2025

Global high-resolution fire-sourced PM2.5 concentrations for 2000–2023

Yonghang Hu, Chenguang Tian, Xu Yue, Yadong Lei, Yang Cao, Rongbin Xu, and Yuming Guo

Viewed

Total article views: 6,176 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,435 1,534 207 6,176 541 142 224
  • HTML: 4,435
  • PDF: 1,534
  • XML: 207
  • Total: 6,176
  • Supplement: 541
  • BibTeX: 142
  • EndNote: 224
Views and downloads (calculated since 21 Oct 2024)
Cumulative views and downloads (calculated since 21 Oct 2024)

Viewed (geographical distribution)

Total article views: 6,176 (including HTML, PDF, and XML) Thereof 5,891 with geography defined and 285 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 01 Sep 2026
Download
Short summary
We develop a global dataset of daily fire-sourced PM2.5 concentrations at a spatial resolution of 0.25° for 2000–2023, using a chemical transport model driven with two fire emission inventories and a machine learning approach trained with ground measurements from over 9000 sites. The dataset shows significant spatiotemporal variations of fire PM2.5 in the past decades, serving a useful tool for exploring the impacts of fire-related air pollutants on climate, ecosystems, and public health.
Read more
Share
Altmetrics
Final-revised paper
Preprint