Articles | Volume 23, issue 5
https://doi.org/10.5194/acp-23-3083-2023
© Author(s) 2023. 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-23-3083-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Mar 2023
Research article |
| 09 Mar 2023
| 09 Mar 2023
Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)
Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Siqi Ma
Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Saulo R. Freitas
Center for Weather Forecasting and Climate Studies, National Institute for Space Research, São José dos Campos 12227, Brazil
Ravan Ahmadov
Cooperative Institute for Research in Environmental Sciences,
University of Colorado at Boulder, Boulder, CO 80305, USA
Global Systems Laboratory, National Oceanic and Atmospheric
Administration, Boulder, CO 80305, USA
Mikhail Sofiev
Atmospheric Composition Research, Finnish Meteorological Institute,
Helsinki 00101, Finland
Xiaoyang Zhang
Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, South Dakota State University, Brookings, SD 57007, USA
Shobha Kondragunta
Satellite Meteorology and Climatology Division, National Oceanic and Atmospheric Administration, College Park, MD 20740, USA
Ralph Kahn
Earth Sciences Division, National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, MD 20771, USA
Youhua Tang
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Barry Baker
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Patrick Campbell
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Rick Saylor
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Georg Grell
Global Systems Laboratory, National Oceanic and Atmospheric
Administration, Boulder, CO 80305, USA
Fangjun Li
Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, South Dakota State University, Brookings, SD 57007, USA
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Cited
25 citations as recorded by crossref.
- Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al.
- Modeling Daily Plume Specific Smoke Concentrations for Health Effects Studies with Estimates of Fire Size, Plume Age, and Fuel Type S. Faulstich et al.
- Worldwide inventory reveals the frequency and variability of pyrocumulonimbus and stratospheric smoke plumes during 2013–2023 D. Peterson et al.
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al.
- Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM2.5: Implications for Assessment of Health Impacts M. Qiu et al.
- 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.
- A generalized user-friendly method for fusing observational data and chemical transport model (Gen-Friberg V1.0: GF-1) Z. Li et al.
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al.
- Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al.
- A bottom-up emission estimate for the 2022 Nord Stream gas leak: derivation, simulations, and evaluation R. Kouznetsov et al.
- Increased contributions of climate-driven wildfires to nitrogen deposition in the United States P. Campbell et al.
- The sensitivity of smoke aerosol dispersion to smoke injection height and source-strength: a multi-model AeroCom study X. Pan et al.
- Air quality impacts of a major wildfire in the UK: Sensitivity to model spatial resolution and transport method B. Drummond et al.
- Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al.
- Temporal Characteristics and Sources of PM2.5 in Porto Velho of Amazon Region in Brazil from 2020 to 2022 Y. Jang & G. Jung
- PREDICTION OF STACK PLUME RISE P. Shalkouhi
- Impact of Prescribed Fire Emissions on Ambient PM2.5 and Its Components in the Southeastern US K. Maji et al.
- Quantifying the smoke-related public health trade-offs of forest management C. Schollaert et al.
- Machine Learning Bias Correction of HRRR-Smoke Surface PM2.5 Forecasts during the Alaska Wildfire Season Z. Dong et al.
- Effects of Fire Plume Height on the Geophysical Estimation of Surface Fine Particulate Matter from Satellite Aerosol Optical Depth during North American Wildfires I. Singh et al.
- Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights X. Feng et al.
- Implementation of the MOSAIC aerosol module (v1.0) in the Canadian air quality model GEM-MACH (v3.1) K. Semeniuk et al.
- Long-range transport of Siberian wildfire emissions reduces NO x in downwind regions D. Kim et al.
- Constraints on the modeled vertical distribution of smoke during the 2020 western US wildfires from satellite data M. Arnold et al.
- The Trade-offs between Wildfires and Prescribed Fires: A Case Study for 2016 Gatlinburg Wildfires Z. Li et al.
25 citations as recorded by crossref.
- Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al.
- Modeling Daily Plume Specific Smoke Concentrations for Health Effects Studies with Estimates of Fire Size, Plume Age, and Fuel Type S. Faulstich et al.
- Worldwide inventory reveals the frequency and variability of pyrocumulonimbus and stratospheric smoke plumes during 2013–2023 D. Peterson et al.
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al.
- Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM2.5: Implications for Assessment of Health Impacts M. Qiu et al.
- 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.
- A generalized user-friendly method for fusing observational data and chemical transport model (Gen-Friberg V1.0: GF-1) Z. Li et al.
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al.
- Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al.
- A bottom-up emission estimate for the 2022 Nord Stream gas leak: derivation, simulations, and evaluation R. Kouznetsov et al.
- Increased contributions of climate-driven wildfires to nitrogen deposition in the United States P. Campbell et al.
- The sensitivity of smoke aerosol dispersion to smoke injection height and source-strength: a multi-model AeroCom study X. Pan et al.
- Air quality impacts of a major wildfire in the UK: Sensitivity to model spatial resolution and transport method B. Drummond et al.
- Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al.
- Temporal Characteristics and Sources of PM2.5 in Porto Velho of Amazon Region in Brazil from 2020 to 2022 Y. Jang & G. Jung
- PREDICTION OF STACK PLUME RISE P. Shalkouhi
- Impact of Prescribed Fire Emissions on Ambient PM2.5 and Its Components in the Southeastern US K. Maji et al.
- Quantifying the smoke-related public health trade-offs of forest management C. Schollaert et al.
- Machine Learning Bias Correction of HRRR-Smoke Surface PM2.5 Forecasts during the Alaska Wildfire Season Z. Dong et al.
- Effects of Fire Plume Height on the Geophysical Estimation of Surface Fine Particulate Matter from Satellite Aerosol Optical Depth during North American Wildfires I. Singh et al.
- Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights X. Feng et al.
- Implementation of the MOSAIC aerosol module (v1.0) in the Canadian air quality model GEM-MACH (v3.1) K. Semeniuk et al.
- Long-range transport of Siberian wildfire emissions reduces NO x in downwind regions D. Kim et al.
- Constraints on the modeled vertical distribution of smoke during the 2020 western US wildfires from satellite data M. Arnold et al.
- The Trade-offs between Wildfires and Prescribed Fires: A Case Study for 2016 Gatlinburg Wildfires Z. Li et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Plume height is important in wildfire smoke dispersion and affects air quality and human health. We assess the impact of plume height on wildfire smoke dispersion and the exceedances of the National Ambient Air Quality Standards. A higher plume height predicts lower pollution near the source region, but higher pollution in downwind regions, due to the faster spread of the smoke once ejected, affects pollution exceedance forecasts and the early warning of extreme air pollution events.
Plume height is important in wildfire smoke dispersion and affects air quality and human health....
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