A New Predictive Framework for Amazon Forest Fire Smoke Dispersion over South America
Aerosol particles from forest fire events in the Amazon can be effectively transported to urban areas in southeastern South America, thus affecting the air quality over those regions. A combination of observational data and a comprehensive air quality modeling system capable of anticipating acute ai...
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| Veröffentlicht in: | Bulletin of the American Meteorological Society 2021-09, Vol.102 (9), p.E1700-E1713 |
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| creator | Vara-Vela, Angel Liduvino Herdies, Dirceu Luís Alvim, Débora Souza Vendrasco, Éder Paulo Figueroa, Silvio Nilo Pendharkar, Jayant Fernandez, Julio Pablo Reyes |
| description | Aerosol particles from forest fire events in the Amazon can be effectively transported to urban areas in southeastern South America, thus affecting the air quality over those regions. A combination of observational data and a comprehensive air quality modeling system capable of anticipating acute air pollution episodes is therefore required. A new predictive framework for Amazon forest fire smoke dispersion over South America has been developed based on the Weather Research and Forecasting with Chemistry community (WRF-Chem) model. Two experiments of 48-h simulations over South America were performed by using this system at 20-km horizontal resolution, on a daily basis, during August and September of 2018 and 2019. The experiment in 2019 included the very strong 3-week forest fire event, when the São Paulo metropolitan area, located in southeastern South America, was plunged into darkness on August 19. The model results were satisfactorily compared against satellite-based data products and in situ measurements collected from air quality monitoring sites. The system is executed daily immediately after the CPTEC Satellite Division releases the latest active fire locations data and provides 48-h forecasts of regional distributions of chemical species such as CO, PM2.5, and O3. The new modeling system will be used as a benchmark within the framework of the Chemistry of the Atmosphere–Field Experiment in Brazil (CAFE-Brazil) project, which will take place in 2022 over the Amazon. |
| doi_str_mv | 10.1175/BAMS-D-21-0018.1 |
| format | Article |
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A combination of observational data and a comprehensive air quality modeling system capable of anticipating acute air pollution episodes is therefore required. A new predictive framework for Amazon forest fire smoke dispersion over South America has been developed based on the Weather Research and Forecasting with Chemistry community (WRF-Chem) model. Two experiments of 48-h simulations over South America were performed by using this system at 20-km horizontal resolution, on a daily basis, during August and September of 2018 and 2019. The experiment in 2019 included the very strong 3-week forest fire event, when the São Paulo metropolitan area, located in southeastern South America, was plunged into darkness on August 19. The model results were satisfactorily compared against satellite-based data products and in situ measurements collected from air quality monitoring sites. The system is executed daily immediately after the CPTEC Satellite Division releases the latest active fire locations data and provides 48-h forecasts of regional distributions of chemical species such as CO, PM2.5, and O3. The new modeling system will be used as a benchmark within the framework of the Chemistry of the Atmosphere–Field Experiment in Brazil (CAFE-Brazil) project, which will take place in 2022 over the Amazon.</description><identifier>ISSN: 0003-0007</identifier><identifier>EISSN: 1520-0477</identifier><identifier>DOI: 10.1175/BAMS-D-21-0018.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Aerosol particles ; Aerosols ; Air monitoring ; Air pollution ; Air quality ; Air quality measurements ; Air quality models ; Airborne particulates ; Atmospheric models ; Biomass ; Carbon ; Chemical speciation ; Chemistry ; Darkness ; Deforestation ; Dispersion ; Ecosystems ; Emissions ; Forest & brush fires ; Forest fires ; Forests ; Frameworks ; Gases ; Grasslands ; In situ measurement ; Mathematical models ; Metropolitan areas ; Modelling ; Particulate matter ; Radiation ; Rain ; Regions ; Satellites ; Smoke ; Smoke dispersion ; Time series ; Urban areas ; VOCs ; Volatile organic compounds ; Weather forecasting</subject><ispartof>Bulletin of the American Meteorological Society, 2021-09, Vol.102 (9), p.E1700-E1713</ispartof><rights>2021 American Meteorological Society</rights><rights>Copyright American Meteorological Society Sep 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c335t-4200299b10a937398cfb874ccd577828d4306f2cf0456b0798cb70d63c345aee3</citedby><cites>FETCH-LOGICAL-c335t-4200299b10a937398cfb874ccd577828d4306f2cf0456b0798cb70d63c345aee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids></links><search><creatorcontrib>Vara-Vela, Angel Liduvino</creatorcontrib><creatorcontrib>Herdies, Dirceu Luís</creatorcontrib><creatorcontrib>Alvim, Débora Souza</creatorcontrib><creatorcontrib>Vendrasco, Éder Paulo</creatorcontrib><creatorcontrib>Figueroa, Silvio Nilo</creatorcontrib><creatorcontrib>Pendharkar, Jayant</creatorcontrib><creatorcontrib>Fernandez, Julio Pablo Reyes</creatorcontrib><title>A New Predictive Framework for Amazon Forest Fire Smoke Dispersion over South America</title><title>Bulletin of the American Meteorological Society</title><description>Aerosol particles from forest fire events in the Amazon can be effectively transported to urban areas in southeastern South America, thus affecting the air quality over those regions. A combination of observational data and a comprehensive air quality modeling system capable of anticipating acute air pollution episodes is therefore required. A new predictive framework for Amazon forest fire smoke dispersion over South America has been developed based on the Weather Research and Forecasting with Chemistry community (WRF-Chem) model. Two experiments of 48-h simulations over South America were performed by using this system at 20-km horizontal resolution, on a daily basis, during August and September of 2018 and 2019. The experiment in 2019 included the very strong 3-week forest fire event, when the São Paulo metropolitan area, located in southeastern South America, was plunged into darkness on August 19. The model results were satisfactorily compared against satellite-based data products and in situ measurements collected from air quality monitoring sites. The system is executed daily immediately after the CPTEC Satellite Division releases the latest active fire locations data and provides 48-h forecasts of regional distributions of chemical species such as CO, PM2.5, and O3. 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Meteorological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vara-Vela, Angel Liduvino</au><au>Herdies, Dirceu Luís</au><au>Alvim, Débora Souza</au><au>Vendrasco, Éder Paulo</au><au>Figueroa, Silvio Nilo</au><au>Pendharkar, Jayant</au><au>Fernandez, Julio Pablo Reyes</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A New Predictive Framework for Amazon Forest Fire Smoke Dispersion over South America</atitle><jtitle>Bulletin of the American Meteorological Society</jtitle><date>2021-09-01</date><risdate>2021</risdate><volume>102</volume><issue>9</issue><spage>E1700</spage><epage>E1713</epage><pages>E1700-E1713</pages><issn>0003-0007</issn><eissn>1520-0477</eissn><abstract>Aerosol particles from forest fire events in the Amazon can be effectively transported to urban areas in southeastern South America, thus affecting the air quality over those regions. A combination of observational data and a comprehensive air quality modeling system capable of anticipating acute air pollution episodes is therefore required. A new predictive framework for Amazon forest fire smoke dispersion over South America has been developed based on the Weather Research and Forecasting with Chemistry community (WRF-Chem) model. Two experiments of 48-h simulations over South America were performed by using this system at 20-km horizontal resolution, on a daily basis, during August and September of 2018 and 2019. The experiment in 2019 included the very strong 3-week forest fire event, when the São Paulo metropolitan area, located in southeastern South America, was plunged into darkness on August 19. The model results were satisfactorily compared against satellite-based data products and in situ measurements collected from air quality monitoring sites. The system is executed daily immediately after the CPTEC Satellite Division releases the latest active fire locations data and provides 48-h forecasts of regional distributions of chemical species such as CO, PM2.5, and O3. The new modeling system will be used as a benchmark within the framework of the Chemistry of the Atmosphere–Field Experiment in Brazil (CAFE-Brazil) project, which will take place in 2022 over the Amazon.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/BAMS-D-21-0018.1</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Aerosol particles Aerosols Air monitoring Air pollution Air quality Air quality measurements Air quality models Airborne particulates Atmospheric models Biomass Carbon Chemical speciation Chemistry Darkness Deforestation Dispersion Ecosystems Emissions Forest & brush fires Forest fires Forests Frameworks Gases Grasslands In situ measurement Mathematical models Metropolitan areas Modelling Particulate matter Radiation Rain Regions Satellites Smoke Smoke dispersion Time series Urban areas VOCs Volatile organic compounds Weather forecasting |
| title | A New Predictive Framework for Amazon Forest Fire Smoke Dispersion over South America |
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