Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-1407-2021
© Author(s) 2021. 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-21-1407-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Wildfire smoke-plume rise: a simple energy balance parameterization
Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver BC V6T 1Z4, Canada
Roland Stull
Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver BC V6T 1Z4, Canada
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Cited
16 citations as recorded by crossref.
- Gaussian dispersion model for low-lying smoke from a wildfire including downwind ground effects N. Kalogeropoulos et al. https://doi.org/10.1016/j.jlp.2026.106043
- Wildfire plumes in the Western US are reaching greater heights and injecting more aerosols aloft as wildfire activity intensifies T. Wilmot et al. https://doi.org/10.1038/s41598-022-16607-3
- Impacts of fire-induced heat, moisture, and aerosol-radiation interactions on wildfire plume rise during the 2019/2020 Australian fires L. Muth et al. https://doi.org/10.5194/acp-26-8505-2026
- Seasonal controls on wildfire-driven urban atmospheric chemistry: evidence from the January 2025 Los Angeles wildfires E. Dovrou et al. https://doi.org/10.1039/D6EA00096G
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
- Wildfire Smoke Observations in the Western United States from the Airborne Wyoming Cloud Lidar during the BB-FLUX Project. Part I: Data Description and Methodology M. Deng et al. https://doi.org/10.1175/JTECH-D-21-0092.1
- Influence of wildfire emissions to carbon dioxide (CO2) observed at the Mt. Cimone station (Italy, 2165 m asl): A multi-year investigation P. Cristofanelli et al. https://doi.org/10.1016/j.atmosenv.2024.120577
- Emulating Wildfire Plume Injection Using Machine Learning Trained by Large Eddy Simulation (LES) S. Wang https://doi.org/10.1021/acs.est.4c05095
- VogCast: A Framework for Modeling Volcanic Air Pollution and Its Application to the 2022 Eruption of Mauna Loa Volcano, Hawai'i N. Moisseeva et al. https://doi.org/10.1029/2023JD039281
- The dynamics and atmospheric impact of fire-induced circulations in idealised large-eddy simulations inspired by the Santa Coloma de Queralt fire T. Roelofs et al. https://doi.org/10.5194/acp-26-13531-2026
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al. https://doi.org/10.3390/atmos16111221
- Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020 K. Maji et al. https://doi.org/10.1021/acs.est.4c00890
- Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model A. Kochanski et al. https://doi.org/10.3389/ffgc.2023.1203578
- Evaluating post-fire watershed response to varying burn severity and precipitation regimes using fully-distributed and integrated hydrologic models Z. Li et al. https://doi.org/10.1016/j.jhydrol.2025.134538
- Convolutional neural networks for wildfire spread and intensity prediction M. Moradpour et al. https://doi.org/10.1016/j.acags.2026.100355
- Helicopter trajectory planning method based on improved IRRT*-D* algorithm in forest fire rescue scenarios J. Yuan et al. https://doi.org/10.1016/j.aei.2025.103947
16 citations as recorded by crossref.
- Gaussian dispersion model for low-lying smoke from a wildfire including downwind ground effects N. Kalogeropoulos et al. https://doi.org/10.1016/j.jlp.2026.106043
- Wildfire plumes in the Western US are reaching greater heights and injecting more aerosols aloft as wildfire activity intensifies T. Wilmot et al. https://doi.org/10.1038/s41598-022-16607-3
- Impacts of fire-induced heat, moisture, and aerosol-radiation interactions on wildfire plume rise during the 2019/2020 Australian fires L. Muth et al. https://doi.org/10.5194/acp-26-8505-2026
- Seasonal controls on wildfire-driven urban atmospheric chemistry: evidence from the January 2025 Los Angeles wildfires E. Dovrou et al. https://doi.org/10.1039/D6EA00096G
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
- Wildfire Smoke Observations in the Western United States from the Airborne Wyoming Cloud Lidar during the BB-FLUX Project. Part I: Data Description and Methodology M. Deng et al. https://doi.org/10.1175/JTECH-D-21-0092.1
- Influence of wildfire emissions to carbon dioxide (CO2) observed at the Mt. Cimone station (Italy, 2165 m asl): A multi-year investigation P. Cristofanelli et al. https://doi.org/10.1016/j.atmosenv.2024.120577
- Emulating Wildfire Plume Injection Using Machine Learning Trained by Large Eddy Simulation (LES) S. Wang https://doi.org/10.1021/acs.est.4c05095
- VogCast: A Framework for Modeling Volcanic Air Pollution and Its Application to the 2022 Eruption of Mauna Loa Volcano, Hawai'i N. Moisseeva et al. https://doi.org/10.1029/2023JD039281
- The dynamics and atmospheric impact of fire-induced circulations in idealised large-eddy simulations inspired by the Santa Coloma de Queralt fire T. Roelofs et al. https://doi.org/10.5194/acp-26-13531-2026
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al. https://doi.org/10.3390/atmos16111221
- Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020 K. Maji et al. https://doi.org/10.1021/acs.est.4c00890
- Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model A. Kochanski et al. https://doi.org/10.3389/ffgc.2023.1203578
- Evaluating post-fire watershed response to varying burn severity and precipitation regimes using fully-distributed and integrated hydrologic models Z. Li et al. https://doi.org/10.1016/j.jhydrol.2025.134538
- Convolutional neural networks for wildfire spread and intensity prediction M. Moradpour et al. https://doi.org/10.1016/j.acags.2026.100355
- Helicopter trajectory planning method based on improved IRRT*-D* algorithm in forest fire rescue scenarios J. Yuan et al. https://doi.org/10.1016/j.aei.2025.103947
Saved (final revised paper)
Latest update: 12 Oct 2026
Short summary
Wildfire smoke-plume rise, which determines the emissions injection height, is widely recognized as an area of uncertainty within regional and global chemical transport models. In this work we propose a simple energy balance parameterization to predict the mean smoke equilibrium height for fires of arbitrary shape and intensity.
Wildfire smoke-plume rise, which determines the emissions injection height, is widely recognized...
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