Articles | Volume 25, issue 8
https://doi.org/10.5194/acp-25-4455-2025
© Author(s) 2025. 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-25-4455-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Revisiting the high tropospheric ozone over southern Africa: role of biomass burning and anthropogenic emissions
Yufen Wang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Zhenjiang Yang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Minglong Tang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Pascoal M. D. Campos
Centro Nacional de Investigação Científica (CNIC), Ministério Do Ensino Superior Ciência, Tecnologia e Inovação, Avenida Ho Chi Minh N° 201, Luanda, Angola
Yang Yang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Hong Liao
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, State Key Laboratory of Climate System Prediction and Risk Management, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Viewed
Total article views: 6,664 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Sep 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,949 | 1,375 | 1,340 | 6,664 | 560 | 464 | 498 |
- HTML: 3,949
- PDF: 1,375
- XML: 1,340
- Total: 6,664
- Supplement: 560
- BibTeX: 464
- EndNote: 498
Total article views: 3,241 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Apr 2025)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,156 | 816 | 269 | 3,241 | 299 | 316 | 284 |
- HTML: 2,156
- PDF: 816
- XML: 269
- Total: 3,241
- Supplement: 299
- BibTeX: 316
- EndNote: 284
Total article views: 3,423 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Sep 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,793 | 559 | 1,071 | 3,423 | 261 | 148 | 214 |
- HTML: 1,793
- PDF: 559
- XML: 1,071
- Total: 3,423
- Supplement: 261
- BibTeX: 148
- EndNote: 214
Viewed (geographical distribution)
Total article views: 6,664 (including HTML, PDF, and XML)
Thereof 6,582 with geography defined
and 82 with unknown origin.
Total article views: 3,241 (including HTML, PDF, and XML)
Thereof 3,172 with geography defined
and 69 with unknown origin.
Total article views: 3,423 (including HTML, PDF, and XML)
Thereof 3,410 with geography defined
and 13 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
7 citations as recorded by crossref.
- Subtropical southern Africa fire emissions of nitrogen oxides and ammonia obtained with satellite observations and GEOS-Chem E. Marais et al. https://doi.org/10.1039/D5EA00041F
- Scenario-driven ozone projections and associated impact on mortality over Africa with an integrated machine learning framework H. Li et al. https://doi.org/10.5194/acp-26-13341-2026
- Assessment of the impacts of anthropogenic ozone precursors on domestic and transboundary ozone concentrations using a high-resolution global chemistry model D. Goto et al. https://doi.org/10.1186/s40645-025-00791-7
- Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone H. Wang et al. https://doi.org/10.5194/acp-25-17501-2025
- Characterising the biomass burning emissions using Sentinel-5P and reanalysis data: Towards the development of a novel biomass burning air quality index for South Africa S. Khumalo et al. https://doi.org/10.1080/27658511.2026.2669709
- Springtime Influence of the Mascarene High over SE Africa: Linking El Niño to Early Rains M. Jury https://doi.org/10.3390/cli13110237
- Sensitivity analysis of WRF-CMAQ model in predicting PM2.5 and O3 concentration in Peninsular Malaysia: 2019 transboundary burning smoke case study N. Mohd Napi et al. https://doi.org/10.1016/j.atmosenv.2025.121496
7 citations as recorded by crossref.
- Subtropical southern Africa fire emissions of nitrogen oxides and ammonia obtained with satellite observations and GEOS-Chem E. Marais et al. https://doi.org/10.1039/D5EA00041F
- Scenario-driven ozone projections and associated impact on mortality over Africa with an integrated machine learning framework H. Li et al. https://doi.org/10.5194/acp-26-13341-2026
- Assessment of the impacts of anthropogenic ozone precursors on domestic and transboundary ozone concentrations using a high-resolution global chemistry model D. Goto et al. https://doi.org/10.1186/s40645-025-00791-7
- Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone H. Wang et al. https://doi.org/10.5194/acp-25-17501-2025
- Characterising the biomass burning emissions using Sentinel-5P and reanalysis data: Towards the development of a novel biomass burning air quality index for South Africa S. Khumalo et al. https://doi.org/10.1080/27658511.2026.2669709
- Springtime Influence of the Mascarene High over SE Africa: Linking El Niño to Early Rains M. Jury https://doi.org/10.3390/cli13110237
- Sensitivity analysis of WRF-CMAQ model in predicting PM2.5 and O3 concentration in Peninsular Malaysia: 2019 transboundary burning smoke case study N. Mohd Napi et al. https://doi.org/10.1016/j.atmosenv.2025.121496
Saved (final revised paper)
Latest update: 07 Oct 2026
Short summary
The impacts of biomass burning and anthropogenic emissions on high tropospheric ozone levels are not well studied in southern Africa. We combined model simulations with recent observations at the surface and from space to quantify tropospheric ozone and its drivers in southern Africa. Our work focuses on the impact of emissions from different sources at different spatial scales, contributing to a comprehensive understanding of air pollution drivers and their uncertainties in southern Africa.
The impacts of biomass burning and anthropogenic emissions on high tropospheric ozone levels are...
Altmetrics
Final-revised paper
Preprint