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DOI10.5194/acp-21-10557-2021
Forest-fire aerosol-weather feedbacks over western North America using a high-resolution, online coupled air-quality model
Makar P.A.; Akingunola A.; Chen J.; Pabla B.; Gong W.; Stroud C.; Sioris C.; Anderson K.; Cheung P.; Zhang J.; Milbrandt J.
发表日期2021
ISSN1680-7316
起始页码10557
结束页码10587
卷号21期号:13
英文摘要The influence of both anthropogenic and forest-fire emissions, and their subsequent chemical and physical processing, on the accuracy of weather and air-quality forecasts, was studied using a high-resolution, online coupled air-quality model. Simulations were carried out for the period 4 July through 5 August 2019, at 2.5μkm horizontal grid cell size, over a 2250×3425μkm2 domain covering western Canada and USA, prior to the use of the forecast system as part of the FIREX-AQ ensemble forecast. Several large forest fires took place in the Canadian portion of the domain during the study period. A feature of the implementation was the incorporation of a new online version of the Canadian Forest Fire Emissions Prediction System (CFFEPSv4.0). This inclusion of thermodynamic forest-fire plume-rise calculations directly into the online air-quality model allowed us to simulate the interactions between forest-fire plume development and weather. Incorporating feedbacks resulted in weather forecast performance that exceeded or matched the no-feedback forecast, at greater than 90μ% confidence, at most times and heights in the atmosphere. The feedback forecast outperformed the feedback forecast at 35 out of 48 statistical evaluation scores, for PM2.5, NO2, and O3. Relative to the climatological cloud condensation nuclei (CCN) and aerosol optical properties used in the no-feedback simulations, the online coupled model's aerosol indirect and direct effects were shown to result in feedback loops characterized by decreased surface temperatures in regions affected by forest-fire plumes, decreases in stability within the smoke plume, increases in stability further aloft, and increased lower troposphere cloud droplet and raindrop number densities. The aerosol direct and indirect effect reduced oceanic cloud droplet number densities and increased oceanic raindrop number densities, relative to the no-feedback climatological simulation. The aerosol direct and indirect effects were responsible for changes to the near-surface PM2.5 and NO2 concentrations at greater than the 90μ% confidence level near the forest fires, with O3 changes remaining below the 90μ% confidence level. The simulations show that incorporating aerosol direct and indirect effect feedbacks can significantly improve the accuracy of weather and air-quality forecasts and that forest-fire plume-rise calculations within an online coupled model change the predicted fire plume dispersion and emissions, the latter through changing the meteorology driving fire intensity and fuel consumption. © Copyright:
语种英语
scopus关键词aerosol; air quality; atmospheric plume; climate feedback; computer simulation; forest fire; fuel consumption; particulate matter; surface temperature; Canada; United States
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/246735
作者单位Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, ON M3H 5T4, Canada; Natural Resources Canada (Emiritus), 12827 McLarty Place, Summerland, BC V0H 1Z8, Canada; Meteorological Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 2121 Trans-Canada Highway, Montreal, QC H9P 1J3, Canada
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Makar P.A.,Akingunola A.,Chen J.,et al. Forest-fire aerosol-weather feedbacks over western North America using a high-resolution, online coupled air-quality model[J],2021,21(13).
APA Makar P.A..,Akingunola A..,Chen J..,Pabla B..,Gong W..,...&Milbrandt J..(2021).Forest-fire aerosol-weather feedbacks over western North America using a high-resolution, online coupled air-quality model.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(13).
MLA Makar P.A.,et al."Forest-fire aerosol-weather feedbacks over western North America using a high-resolution, online coupled air-quality model".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.13(2021).
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