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
7 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. 10.3389/feart.2024.1320170
- Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights X. Feng et al. 10.5194/acp-24-2985-2024
- Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al. 10.1021/acs.est.3c04411
- Temporal Characteristics and Sources of PM2.5 in Porto Velho of Amazon Region in Brazil from 2020 to 2022 Y. Jang & G. Jung 10.3390/su151814012
- PREDICTION OF STACK PLUME RISE P. Shalkouhi 10.32006/eeep.2023.2.2933
- 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. 10.1029/2022JD037298
- Quantifying the smoke-related public health trade-offs of forest management C. Schollaert et al. 10.1038/s41893-023-01253-y
7 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. 10.3389/feart.2024.1320170
- Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights X. Feng et al. 10.5194/acp-24-2985-2024
- Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al. 10.1021/acs.est.3c04411
- Temporal Characteristics and Sources of PM2.5 in Porto Velho of Amazon Region in Brazil from 2020 to 2022 Y. Jang & G. Jung 10.3390/su151814012
- PREDICTION OF STACK PLUME RISE P. Shalkouhi 10.32006/eeep.2023.2.2933
- 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. 10.1029/2022JD037298
- Quantifying the smoke-related public health trade-offs of forest management C. Schollaert et al. 10.1038/s41893-023-01253-y
Latest update: 19 Apr 2024
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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