Articles | Volume 22, issue 15
https://doi.org/10.5194/acp-22-10195-2022
© Author(s) 2022. 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-22-10195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Aug 2022
Research article |
| 10 Aug 2022
| 10 Aug 2022
Simulating wildfire emissions and plume rise using geostationary satellite fire radiative power measurements: a case study of the 2019 Williams Flats fire
Aditya Kumar
CORRESPONDING AUTHOR
Space Science and Engineering Center, University of Wisconsin Madison,
Madison, WI, USA
R. Bradley Pierce
Space Science and Engineering Center, University of Wisconsin Madison,
Madison, WI, USA
Ravan Ahmadov
Cooperative Institute for Research in Environmental Sciences (CIRES),
University of Colorado Boulder, Boulder, CO, USA
NOAA Global Systems Laboratory, Boulder, CO, USA
Gabriel Pereira
Department of Geosciences, Federal University of Sao Joao del-Rei, Sao Joao del-Rei, MG 36307, Brazil
Saulo Freitas
Center for Weather Forecast and Climatic Studies (CPTEC), Cachoeira Paulista, 12630, Sao Paulo, Brazil
Georg Grell
NOAA Global Systems Laboratory, Boulder, CO, USA
Chris Schmidt
Space Science and Engineering Center, University of Wisconsin Madison,
Madison, WI, USA
Allen Lenzen
Space Science and Engineering Center, University of Wisconsin Madison,
Madison, WI, USA
Joshua P. Schwarz
National Oceanic and Atmospheric Administration Chemical Sciences
Laboratory, Boulder, CO, USA
Anne E. Perring
Department of Chemistry, Colgate University, Hamilton, NY, USA
Joseph M. Katich
Department of Chemistry, Colgate University, Hamilton, NY, USA
now at: Ball Aerospace, Boulder, CO, USA
John Hair
National Aeronautics and Space Administration (NASA) Langley Research
Center, Hampton, VA, USA
Jose L. Jimenez
Cooperative Institute for Research in Environmental Sciences (CIRES),
University of Colorado Boulder, Boulder, CO, USA
Department of Chemistry, University of Colorado Boulder, Boulder, CO,
USA
Pedro Campuzano-Jost
Cooperative Institute for Research in Environmental Sciences (CIRES),
University of Colorado Boulder, Boulder, CO, USA
Department of Chemistry, University of Colorado Boulder, Boulder, CO,
USA
Hongyu Guo
Cooperative Institute for Research in Environmental Sciences (CIRES),
University of Colorado Boulder, Boulder, CO, USA
Department of Chemistry, University of Colorado Boulder, Boulder, CO,
USA
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Cited
10 citations as recorded by crossref.
- Spatiotemporal variation characteristics of global fires and their emissions H. Fan et al. 10.5194/acp-23-7781-2023
- Air quality modeling in the metropolitan area of São Paulo, Brazil: A review M. Gavidia-Calderón et al. 10.1016/j.atmosenv.2023.120301
- Air Pollution Interactions with Weather and Climate Extremes: Current Knowledge, Gaps, and Future Directions C. He et al. 10.1007/s40726-024-00296-9
- Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods Q. Chen et al. 10.1016/j.atmosres.2024.107523
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF‐Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals A. Pouyaei et al. 10.1029/2022JD038019
- Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX‐AQ Y. Shi et al. 10.1029/2023JD039085
- Air quality impacts of observationally constrained biomass burning heat flux inputs S. Neyestani et al. 10.1016/j.scitotenv.2024.170321
- Characterizing the Role of Moisture and Smoke on the 2021 Santa Coloma de Queralt Pyroconvective Event Using WRF‐Fire M. Eghdami et al. 10.1029/2022MS003288
- Fire Influence on Regional to Global Environments and Air Quality (FIREX‐AQ) C. Warneke et al. 10.1029/2022JD037758
9 citations as recorded by crossref.
- Spatiotemporal variation characteristics of global fires and their emissions H. Fan et al. 10.5194/acp-23-7781-2023
- Air quality modeling in the metropolitan area of São Paulo, Brazil: A review M. Gavidia-Calderón et al. 10.1016/j.atmosenv.2023.120301
- Air Pollution Interactions with Weather and Climate Extremes: Current Knowledge, Gaps, and Future Directions C. He et al. 10.1007/s40726-024-00296-9
- Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods Q. Chen et al. 10.1016/j.atmosres.2024.107523
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF‐Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals A. Pouyaei et al. 10.1029/2022JD038019
- Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX‐AQ Y. Shi et al. 10.1029/2023JD039085
- Air quality impacts of observationally constrained biomass burning heat flux inputs S. Neyestani et al. 10.1016/j.scitotenv.2024.170321
- Characterizing the Role of Moisture and Smoke on the 2021 Santa Coloma de Queralt Pyroconvective Event Using WRF‐Fire M. Eghdami et al. 10.1029/2022MS003288
1 citations as recorded by crossref.
Latest update: 22 Nov 2024
Short summary
We use the WRF-Chem model with new implementations of GOES-16 wildfire emissions and plume rise based on fire radiative power (FRP) to interpret aerosol observations during the 2019 NASA–NOAA FIREX-AQ field campaign and perform model evaluations. The model shows significant improvements in simulating the variety of aerosol loading environments sampled during FIREX-AQ. Our results also highlight the importance of accurate wildfire diurnal cycle and aerosol chemical mechanisms in models.
We use the WRF-Chem model with new implementations of GOES-16 wildfire emissions and plume rise...
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