@InProceedings{VelaAlVeHeFiPe:2020:NeMoFr,
               author = "Vela, Angel Vara and Alvim, D{\'e}bora Souza and Vendrasco, Eder 
                         Paulo and Herdies, Dirceu Lu{\'{\i}}s and Figueroa, Silvio Nilo 
                         and Pendharkar, Jayant",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} 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 modeling framework for air pollution forecasting in South 
                         America",
                 year = "2020",
         organization = "EGU General Assembly",
             abstract = "Biomass burning episodes are quite common in the central region of 
                         South America and represent the dominant aerosol sources during 
                         the dry/burning, between August and October. Large amounts of 
                         trace gases and aerosols injected into the atmosphere from these 
                         fire events can then be efficiently transported to urban areas in 
                         southeastern South America, thus affecting air quality over those 
                         areas. Observational data have been of fundamental importance to 
                         understand the evolution and interaction of biomass burning 
                         products with meteorology and chemistry. However, supplementing 
                         this information with the use of a comprehensive air quality 
                         modeling system in order to anticipate very acute air pollution 
                         episodes, and thus avoiding severe impacts on human health, is 
                         also required. Considering this, a new regional air pollution 
                         modeling framework for South America is being implemented by the 
                         Center for Weather Forecasting and Climate Studies (CPTEC), the 
                         National Weather Service of Brazil. This new system, based on the 
                         Weather Research and Forecasting with Chemistry model (WRF-Chem; 
                         Grell et al., 2005), is being run experimentally and its 
                         operational implementation is underway. The forecasts were driven 
                         by global forecast data from the GFS-FV3 model for meteorology and 
                         from the WACCM model for chemistry, both data sets provided every 
                         6 hours. WACCM forecasts are employed to map gas and aerosol 
                         background concentrations to the WRF-Chem initial and boundary 
                         conditions, according to the MOZCART chemical mechanism. Two 
                         experiments of 48-hour real-time forecast simulations were 
                         performed, on a daily basis, during August and September of 2018 
                         and 2019. The experiment for 2019 includes the very strong 3-week 
                         forest fire event when the Metropolitan Area of S{\~a}o Paulo, 
                         the largest metropolitan area in South America, plunged into 
                         darkness on August 19, with day turning into night. Model results 
                         are in good domain-wide agreement with satellite data and also 
                         with in situ measurements. Besides forecasts of meteorological 
                         parameters, this new system provides forecasts of regional 
                         distributions of primary chemical species (CO, SO2, NOx, 
                         particulate matter including black carbon), of secondary species 
                         (ozone, secondary organic aerosols) and air pollution related 
                         health indices, all parameters with a resolution of 20 km and for 
                         the next 72 hours.",
  conference-location = "Online",
      conference-year = "04-08 May",
                  doi = "10.5194/egusphere-egu2020-6445",
                  url = "http://dx.doi.org/10.5194/egusphere-egu2020-6445",
             language = "en",
           targetfile = "EGU2020-6445-print.pdf",
        urlaccessdate = "27 abr. 2024"
}