Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10557-2021
© Author(s) 2021. 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-21-10557-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jul 2021
Research article |
| 14 Jul 2021
| 14 Jul 2021
Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model
Paul A. Makar
CORRESPONDING AUTHOR
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Ayodeji Akingunola
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Jack Chen
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Balbir Pabla
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Wanmin Gong
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Craig Stroud
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Christopher Sioris
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Kerry Anderson
Natural Resources Canada (emiritus), 12827 McLarty Place, Summerland, British Columbia, V0H 1Z8, Canada
Philip Cheung
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Junhua Zhang
Air Quality Research Division, Atmospheric Science and Technology
Directorate, Environment and Climate Change Canada, 4905 Dufferin Street,
Toronto, Ontario, M3H 5T4, Canada
Jason Milbrandt
Meteorological Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 2121 Trans-Canada Highway, Montreal, Quebec, H9P 1J3, Canada
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Cited
10 citations as recorded by crossref.
- Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. 10.5194/acp-21-14427-2021
- Characterization of Wildfire Smoke over Complex Terrain Using Satellite Observations, Ground-Based Observations, and Meteorological Models M. Nakata et al. 10.3390/rs14102344
- Intensive aerosol properties of boreal and regional biomass burning aerosol at Mt. Bachelor Observatory: larger and black carbon (BC)-dominant particles transported from Siberian wildfires N. May et al. 10.5194/acp-23-2747-2023
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Continuous observations from horizontally pointing lidar, weather parameters and PM2.5: a pre-deployment assessment for monitoring radioactive dust in Fukushima, Japan N. Lagrosas et al. 10.5194/amt-16-5937-2023
- Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model S. Fathi et al. 10.5194/acp-21-15461-2021
- Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1 R. Ghahreman et al. 10.5194/gmd-17-685-2024
- Seamless Modeling of Direct and Indirect Aerosol Effects during April 2020 Wildfire Episode in Ukraine M. Savenets et al. 10.3390/atmos15050550
- Derivation of BBA Plume Properties by Taking Advantage of the Characteristics of GCOM-C/SGLI S. Mukai et al. 10.1109/JSTARS.2024.3390752
- Investigations on Aerosol and Particulate Matter Dynamics During 2001–2021 Using Satellite, In Situ, and Reanalysis Datasets over the Mining-Dominated State Odisha, India P. Kumar et al. 10.1007/s41810-023-00208-2
10 citations as recorded by crossref.
- Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. 10.5194/acp-21-14427-2021
- Characterization of Wildfire Smoke over Complex Terrain Using Satellite Observations, Ground-Based Observations, and Meteorological Models M. Nakata et al. 10.3390/rs14102344
- Intensive aerosol properties of boreal and regional biomass burning aerosol at Mt. Bachelor Observatory: larger and black carbon (BC)-dominant particles transported from Siberian wildfires N. May et al. 10.5194/acp-23-2747-2023
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Continuous observations from horizontally pointing lidar, weather parameters and PM2.5: a pre-deployment assessment for monitoring radioactive dust in Fukushima, Japan N. Lagrosas et al. 10.5194/amt-16-5937-2023
- Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model S. Fathi et al. 10.5194/acp-21-15461-2021
- Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1 R. Ghahreman et al. 10.5194/gmd-17-685-2024
- Seamless Modeling of Direct and Indirect Aerosol Effects during April 2020 Wildfire Episode in Ukraine M. Savenets et al. 10.3390/atmos15050550
- Derivation of BBA Plume Properties by Taking Advantage of the Characteristics of GCOM-C/SGLI S. Mukai et al. 10.1109/JSTARS.2024.3390752
- Investigations on Aerosol and Particulate Matter Dynamics During 2001–2021 Using Satellite, In Situ, and Reanalysis Datasets over the Mining-Dominated State Odisha, India P. Kumar et al. 10.1007/s41810-023-00208-2
Latest update: 17 Jul 2024
Short summary
We have examined the effects of airborne particles on absorption and scattering of incoming sunlight by the particles themselves via cloud formation. We used an advanced, combined high-resolution weather forecast and chemical transport computer model, for western North America, and simulations with and without the connections between particles and weather enabled. Feedbacks improved weather and air pollution forecasts and changed cloud behaviour and forest-fire pollutant amount and height.
We have examined the effects of airborne particles on absorption and scattering of incoming...
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