@Article{GrellFrei:2014:ScAeAw,
               author = "Grell, G. A. and Freitas, Saulo Ribeiro de",
          affiliation = "{Earth Systems Research Laboratory of the National Oceanic and 
                         Atmospheric Administration (NOAA)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "A scale and aerosol aware stochastic convective parameterization 
                         for weather and air quality modeling",
              journal = "Atmospheric Chemistry and Physics",
                 year = "2014",
               volume = "14",
               number = "10",
                pages = "5233--5250",
             keywords = "aerosol, weather, air quality.",
             abstract = "A convective parameterization is described and evaluated that may 
                         be used in high resolution non-hydrostatic mesoscale models as 
                         well as in modeling system with unstructured varying grid 
                         resolutions and for convection aware simulations. This scheme is 
                         based on a stochastic approach originally implemented by Grell and 
                         Devenyi (2002). Two approaches are tested on resolutions ranging 
                         from 20 km to 5 km. One approach is based on spreading subsidence 
                         to neighboring grid points, the other one on a recently introduced 
                         method by Arakawa et al. (2011). Results from model 
                         intercomparisons, as well as verification with observations 
                         indicate that both the spreading of the subsidence and Arakawas 
                         approach work well for the highest resolution runs. Because of its 
                         simplicity and its capability for an automatic smooth transition 
                         as the resolution is increased, Arakawas approach may be 
                         preferred. Additionally, interactions with aerosols have been 
                         implemented through a cloud condensation nuclei (CCN) dependent 
                         autoconversion of cloud water to rain as well as an aerosol 
                         dependent evaporation of cloud drops. Initial tests with this 
                         newly implemented aerosol approach show plausible results with a 
                         decrease in predicted precipitation in some areas, caused by the 
                         changed autoconversion mechanism. This change also causes a 
                         significant increase of cloud water and ice detrainment near the 
                         cloud tops. Some areas also experience an increase of 
                         precipitation, most likely caused by strengthened downdrafts.",
                  doi = "10.5194/acp-14-5233-2014",
                  url = "http://dx.doi.org/10.5194/acp-14-5233-2014",
                 issn = "1680-7316",
                label = "lattes: 9873289111461387 2 GrellFrei:2014:ScAeAw",
             language = "en",
        urlaccessdate = "02 maio 2024"
}