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
Data sets
Fire emission, plume, and air quality observation for the 2020 US Giga Fire Yunyao Li, Daniel Tong, Xiaoyang Zhang, Shobha Kondragunta, and Ralph Kahn https://doi.org/10.5281/zenodo.7702951
Model code and software
CMAQ (Version 5.3.1) United States Environmental Protection Agency https://doi.org/10.5281/zenodo.3585898
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....
Altmetrics
Final-revised paper
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