@Article{Vara-VelaHeAlVeFiPeRe:2021:NePrFr,
               author = "Vara-Vela, Angel Liduvino and Herdies, Dirceu Luis and Alvim, 
                         D{\'e}bora Souza and Vendrasco, {\'E}der Paulo and Figueroa, 
                         Silvio Nilo and Pendharkar, Jayant and Reyes Fernandez, Julio 
                         Pablo",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "A new predictive framework for Amazon forest fire smoke dispersion 
                         over South America",
              journal = "Bulletin of The American Meteorological Society",
                 year = "2021",
               volume = "21",
                pages = "1--43",
             keywords = "Model evaluation/performance, Regional models, 
                         Aerosols/particulates, Air pollution, , Air quality, Atmospheric 
                         composition.",
             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 S{\~a}o 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 AtmosphereField Experiment in Brazil (CAFE-Brazil) project, 
                         which will take place in 2022 over the Amazon.",
                  doi = "10.1175/BAMS-D-21-0018.1",
                  url = "http://dx.doi.org/10.1175/BAMS-D-21-0018.1",
                 issn = "0003-0007",
                label = "lattes: 3752951275341381 2 VaraVelaHeAlVeFiPeFe:2021:NePrFr",
             language = "en",
           targetfile = "[15200477 - Bulletin of the American Meteorological Society] A New 
                         Predictive Framework for Amazon Forest Fire Smoke Dispersion over 
                         South America.pdf",
        urlaccessdate = "15 jun. 2024"
}