@Article{PardoMachCeccSánc:2018:QuAeEf,
               author = "Pardo, Lianet Hern{\'a}ndez and Machado, Luiz Augusto Toledo and 
                         Cecchini, Micael Amore and S{\'a}nchez G{\'a}cita, Madeleine",
          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)}",
                title = "Quantifying the aerosol effect on droplet size distribution at 
                         cloud-top",
              journal = "Atmospheric Chemistry and Physics Discussion",
                 year = "2018",
               volume = "2018",
               number = "1087",
                month = "Dec.",
             abstract = "This work uses the number concentration-effective diameter 
                         phase-space to test cloud sensitivity to variations in the aerosol 
                         population characteristics, such as the aerosol size distribution, 
                         number concentration and hygroscopicity. It is based on the 
                         information from the top of a cloud simulated by a 
                         bin-microphysics single-column model, for initial conditions 
                         typical of the Amazon. It is shown that the cloud-top evolution 
                         can be very sensitive to aerosol properties, but the relative 
                         importance of each parameter is variable. The sensitivity to each 
                         aerosol characteristic varies as a function of the tested 
                         parameter and is conditioned by the base values of the other 
                         parameters. The median radius of the aerosols showed the largest 
                         influence on this sensitivity. We show that all aerosol properties 
                         can have significant impacts on cloud microphysics, especially if 
                         the median radius of the aerosol size distribution is smaller than 
                         0.05 µm.",
                  doi = "10.5194/acp-2018-1087",
                  url = "http://dx.doi.org/10.5194/acp-2018-1087",
                 issn = "1680-7367",
             language = "en",
           targetfile = "pardo_quantifying.pdf",
        urlaccessdate = "25 abr. 2024"
}