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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Cited articles

Atuyambe, L. M., Etajak, S., Walyawula, F., Kasasa, S., Nyabigambo, A., Bazeyo, W., Wipfli, H., Samet, J. M., and Berhane, K. T.: Air quality and attributable mortality among city dwellers in Kampala, Uganda: results from 4 years of continuous PM2.5 concentration monitoring using BAM 1022 reference instrument, J. Expo. Sci. Env. Epid., 35, 288–293, https://doi.org/10.1038/s41370-024-00684-9, 2024. 
Benchrif, A., Wheida, A., Tahri, M., Shubbar, R. M., and Biswas, B.: Air quality during three covid-19 lockdown phases: AQI, PM2.5 and NO2 assessment in cities with more than 1 million inhabitants, Sustain. Cities Soc., 74, 103170, https://doi.org/10.1016/j.scs.2021.103170, 2021. 
Bistinas, I., Harrison, S. P., Prentice, I. C., and Pereira, J. M. C.: Causal relationships versus emergent patterns in the global controls of fire frequency, Biogeosciences, 11, 5087–5101, https://doi.org/10.5194/bg-11-5087-2014, 2014. 
Breider, T. J., Mickley, L. J., Jacob, D. J., Wang, Q., Fisher, J. A., Chang, R. Y. W., and Alexander, B.: Annual distributions and sources of Arctic aerosol components, aerosol optical depth, and aerosol absorption, J. Geophys. Res.-Atmos., 119, 4107–4124, https://doi.org/10.1002/2013JD020996, 2014. 
Burke, M., Childs, M. L., de la Cuesta, B., Qiu, M., Li, J., Gould, C. F., Heft-Neal, S., and Wara, M.: The contribution of wildfire to PM2.5 trends in the USA, Nature, 622, 761–766, https://doi.org/10.1038/s41586-023-06522-6, 2023. 
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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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