@InProceedings{PendharkarFigKubAlvHer:2022:SiInEf,
               author = "Pendharkar, Jayant and Figueroa, Silvio Nilo and Kubota, Paulo 
                         Yoshio and Alvim, D{\'e}bora Souza and Herdies, Dirceu 
                         Lu{\'{\i}}s",
          affiliation = "{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 = "Simulating Indirect Effects of Aerosols in the Brazilian Global 
                         Model",
                 year = "2022",
         organization = "American Meteorological Society Annual Meeting, 102.",
            publisher = "AMS",
             abstract = "The interaction between cloud and aerosols is among the most 
                         uncertain aspects of anthropogenic climate change. Some potential 
                         impacts of aerosol feedbacks include a decrease in cloud drop size 
                         but an increase in drop number via serving as cloud condensation 
                         nuclei (CCN), as well as an increase in liquid water content, 
                         cloud cover, and lifetime of low level clouds but a suppression or 
                         enhancement of precipitation. Hence, an appropriate representation 
                         of aerosols in numerical models has become imperative in modeling 
                         their impacts on Earths radiation budget and precipitation. 
                         Towards this end, the Brazilian global model, BAM, with online 
                         aerosol parameterization is under development at CPTEC. In this 
                         work, we report the results from the implementation of 
                         aerosol-cloud microphysical interactions and cloud processing of 
                         aerosols in BAM. The simulations are driven using the aerosol 
                         forcing from CAM-Chem forecast during the dry and wet season over 
                         South America. Comparison of precipitation and cloud profiles with 
                         satellite and ground-based observations will be reported.",
  conference-location = "Houston, Texas",
      conference-year = "23-27 jan. 2022",
             language = "en",
        urlaccessdate = "25 jun. 2024"
}