Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone

Wang, Haolin; Maslanka, William; Palmer, Paul I.; Wooster, Martin J.; Wang, Haofan; Yao, Fei; Feng, Liang; Wu, Kai; Lu, Xiao; Fan, Shaojia

doi:10.5194/acp-25-17501-2025

Articles | Volume 25, issue 23

https://doi.org/10.5194/acp-25-17501-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-17501-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 23

Research article

|

03 Dec 2025

Research article |

| 03 Dec 2025

Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone

Haolin Wang, William Maslanka, Paul I. Palmer, Martin J. Wooster, Haofan Wang, Fei Yao, Liang Feng, Kai Wu, Xiao Lu, and Shaojia Fan

Supplement

https://doi.org/10.5194/acp-25-17501-2025-supplement

Data sets

TROPOMI Level 2 Tropospheric Ozone products, Version 01 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-8aqg6um

TROPOMI Level 2 Carbon Monoxide total column products, Version 02 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-bj3nry0

TROPOMI Level 2 Nitrogen Dioxide total column products, Version 02 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-9bnp8q8

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Short summary

We examine the impact of diurnally varying African biomass burning (BB) emissions on tropospheric ozone using GEOS-Chem simulations with a high-resolution satellite-derived emission inventory. Compared to coarser temporal resolutions, incorporating diurnal variations leads to significant changes in surface ozone and atmospheric oxidation capacity. Our findings highlight the importance of accurately representing BB emission timing in chemical transport models to improve ozone predictions.