Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-3741-2025
https://doi.org/10.5194/essd-17-3741-2025
Data description paper
 | 
04 Aug 2025
Data description paper |  | 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

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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.
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