Articles | Volume 24, issue 6
https://doi.org/10.5194/acp-24-3673-2024
© 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-24-3673-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Mar 2024
Research article |
| 25 Mar 2024
| 25 Mar 2024
Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US
Department of Chemical Engineering, University of Utah, Salt Lake City, UT 84112, USA
now at: School of Environmental, Civil, Agricultural and Mechanical Engineering, University of Georgia, Athens, GA 30602, USA
S. Marcela Loría-Salazar
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA
Jaehwa Lee
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Heather A. Holmes
Department of Chemical Engineering, University of Utah, Salt Lake City, UT 84112, USA
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Cited
14 citations as recorded by crossref.
- Atmospheric Remote Sensing Based on Satellite Oxygen-Band Observations: A Review X. Wu et al. https://doi.org/10.3390/rs18162808
- 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
- Advancing Real-Time Aerial Wildfire Detection Through Plume Recognition and Knowledge Distillation P. Keerthinathan et al. https://doi.org/10.3390/drones9120827
- Tracking smoke plume dispersion in atmosphere using machine learning analysis of geostationary multispectral imagers data R. Inghilesi et al. https://doi.org/10.1016/j.atmosenv.2026.121945
- 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
- Uncovering the Influence of Land Cover and Climate Extremes on Wildfire Smoke PM2.5 in the United States Using Explainable Artificial Intelligence Y. Liu et al. https://doi.org/10.1021/acs.est.5c07367
- Forest fire regimes in the Northwestern Himalayas: unravelling microlevel impact of topography, weather, and human activity on fire behaviour B. Paul et al. https://doi.org/10.1080/01431161.2025.2492413
- Correcting aerosol extinction coefficient vertical structure biases in GEOS-chem via a physics-informed transformer with physical mechanism diagnosis J. Xiong et al. https://doi.org/10.5194/acp-26-8225-2026
- Dense Optical Flow Retrieval of Wildfire Smoke Plume Motion from Spaceborne and Airborne Imagery I. Yanovsky et al. https://doi.org/10.3390/rs18121868
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al. https://doi.org/10.3390/atmos16111221
- Long-Term Wildfire Emissions and Smoke-Plume Dynamics in Greece T. Kourantos et al. https://doi.org/10.3390/rs18091438
- Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. https://doi.org/10.5194/essd-16-3495-2024
- Deep learning for wildfire risk prediction: Integrating remote sensing and environmental data Z. Xu et al. https://doi.org/10.1016/j.isprsjprs.2025.06.002
- Constraints on the modeled vertical distribution of smoke during the 2020 western US wildfires from satellite data M. Arnold et al. https://doi.org/10.1038/s44407-025-00036-3
14 citations as recorded by crossref.
- Atmospheric Remote Sensing Based on Satellite Oxygen-Band Observations: A Review X. Wu et al. https://doi.org/10.3390/rs18162808
- 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
- Advancing Real-Time Aerial Wildfire Detection Through Plume Recognition and Knowledge Distillation P. Keerthinathan et al. https://doi.org/10.3390/drones9120827
- Tracking smoke plume dispersion in atmosphere using machine learning analysis of geostationary multispectral imagers data R. Inghilesi et al. https://doi.org/10.1016/j.atmosenv.2026.121945
- 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
- Uncovering the Influence of Land Cover and Climate Extremes on Wildfire Smoke PM2.5 in the United States Using Explainable Artificial Intelligence Y. Liu et al. https://doi.org/10.1021/acs.est.5c07367
- Forest fire regimes in the Northwestern Himalayas: unravelling microlevel impact of topography, weather, and human activity on fire behaviour B. Paul et al. https://doi.org/10.1080/01431161.2025.2492413
- Correcting aerosol extinction coefficient vertical structure biases in GEOS-chem via a physics-informed transformer with physical mechanism diagnosis J. Xiong et al. https://doi.org/10.5194/acp-26-8225-2026
- Dense Optical Flow Retrieval of Wildfire Smoke Plume Motion from Spaceborne and Airborne Imagery I. Yanovsky et al. https://doi.org/10.3390/rs18121868
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al. https://doi.org/10.3390/atmos16111221
- Long-Term Wildfire Emissions and Smoke-Plume Dynamics in Greece T. Kourantos et al. https://doi.org/10.3390/rs18091438
- Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. https://doi.org/10.5194/essd-16-3495-2024
- Deep learning for wildfire risk prediction: Integrating remote sensing and environmental data Z. Xu et al. https://doi.org/10.1016/j.isprsjprs.2025.06.002
- Constraints on the modeled vertical distribution of smoke during the 2020 western US wildfires from satellite data M. Arnold et al. https://doi.org/10.1038/s44407-025-00036-3
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Short summary
Increased wildfire intensity has resulted in taller wildfire smoke plumes. We investigate the vertical structure of wildfire smoke plumes using aircraft lidar data and establish two effective smoke plume height metrics. Four novel satellite-based plume height products are evaluated for wildfires in the western US. Our results provide guidance on the strengths and limitations of these satellite products and set the stage for improved plume rise estimates by leveraging satellite products.
Increased wildfire intensity has resulted in taller wildfire smoke plumes. We investigate the...
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