Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6787-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-6787-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jun 2024
Research article |
| 12 Jun 2024
| 12 Jun 2024
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
Wenxuan Hua
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Sijia Lou
CORRESPONDING AUTHOR
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Xin Huang
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Zilin Wang
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Aijun Ding
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
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Cited
10 citations as recorded by crossref.
- The Influence of Australian Bushfire on the Upper Tropospheric CO and Hydrocarbon Distribution in the South Pacific D. Lee et al. 10.3390/rs17122092
- Analysis of Forest Fire Emissions and Meteorological Impacts in Southwestern China Based on Multi-Source Satellite Observations L. Fang et al. 10.3390/atmos16101187
- Biomass Burning over Africa: How to Explain the Differences Observed Between the Different Emission Inventories? T. N’Datchoh et al. 10.3390/atmos16040440
- Future climate-driven fires may boost ocean productivity in the iron-limited North Atlantic E. Bergas-Masso et al. 10.1038/s41558-025-02356-4
- Anthropogenic black carbon as short-lived climate pollutants: Critical advancements in global-regional monitoring, characterization, emission inventory, and impact analysis S. Abdillah et al. 10.1016/j.rser.2025.116284
- Measurement report: Characterization of aerosol hygroscopicity over Southeast Asia during the NASA CAMP2Ex campaign G. Lorenzo et al. 10.5194/acp-25-5469-2025
- A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al. 10.1016/j.jclepro.2025.146089
- Emission time and amount of crop residue burning play critical role on PM2.5 variability during October–November in northwestern India during 2022–2024 A. Biswal et al. 10.1039/D5EA00052A
- Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
- Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
9 citations as recorded by crossref.
- The Influence of Australian Bushfire on the Upper Tropospheric CO and Hydrocarbon Distribution in the South Pacific D. Lee et al. 10.3390/rs17122092
- Analysis of Forest Fire Emissions and Meteorological Impacts in Southwestern China Based on Multi-Source Satellite Observations L. Fang et al. 10.3390/atmos16101187
- Biomass Burning over Africa: How to Explain the Differences Observed Between the Different Emission Inventories? T. N’Datchoh et al. 10.3390/atmos16040440
- Future climate-driven fires may boost ocean productivity in the iron-limited North Atlantic E. Bergas-Masso et al. 10.1038/s41558-025-02356-4
- Anthropogenic black carbon as short-lived climate pollutants: Critical advancements in global-regional monitoring, characterization, emission inventory, and impact analysis S. Abdillah et al. 10.1016/j.rser.2025.116284
- Measurement report: Characterization of aerosol hygroscopicity over Southeast Asia during the NASA CAMP2Ex campaign G. Lorenzo et al. 10.5194/acp-25-5469-2025
- A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al. 10.1016/j.jclepro.2025.146089
- Emission time and amount of crop residue burning play critical role on PM2.5 variability during October–November in northwestern India during 2022–2024 A. Biswal et al. 10.1039/D5EA00052A
- Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
Latest update: 30 Oct 2025
Short summary
In this study, we diagnose uncertainties in carbon monoxide and organic carbon emissions from four inventories for seven major wildfire-prone regions. Uncertainties in vegetation classification methods, fire detection products, and cloud obscuration effects lead to bias in these biomass burning (BB) emission inventories. By comparing simulations with measurements, we provide certain inventory recommendations. Our study has implications for reducing uncertainties in emissions in further studies.
In this study, we diagnose uncertainties in carbon monoxide and organic carbon emissions from...
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