@Article{MedinaMach:2017:StPrNo,
               author = "Medina, Bruno Lisb{\^o}a and Machado, Luiz Augusto Toledo",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Dual polarization radar Lagrangian parameters: a statistics-based 
                         probabilistic nowcasting model",
              journal = "Natural Hazards",
                 year = "2017",
               volume = "89",
               number = "2",
                pages = "705--721",
                month = "Nov.",
             keywords = "s Nowcasting, Dual polarization radar, Cloud microphysics, CHUVA 
                         project.",
             abstract = "The aim of this study is to present a statistics-based Lagrangian 
                         nowcasting model to predict intense rainfall convective events 
                         based on dual polarization radar parameters. The data employed in 
                         this study are from X-band radar collected during the CHUVA-Vale 
                         campaign from November 2011 to March 2012 in southeast Brazil. The 
                         model was designed to catch the important physical characteristics 
                         of storms, such as the presence of supercooled water above 0 °C 
                         isotherm, vertical ice crystals in high levels, graupel 
                         development in the mixed-phase layer and storm vertical growth, 
                         using polarimetric radar in the mixed-phase layer. These 
                         parameters are based on different polarimetric radar quantities in 
                         the mixed phase, such as negative differential reflectivity (ZDR) 
                         and specific differential phase (KDP), low correlation coefficient 
                         (\ρhv) and high reflectivity Zh values. Storms were tracked 
                         to allow the Lagrangian temporal derivation. The model is based on 
                         the estimation of the proportion of radar echo volume in the mixed 
                         phase that is likely to be associated with intense storm 
                         hydrometeors. Thirteen parameters are used in this probabilistic 
                         nowcasting model, which is able to predict the potential for 
                         future storm development. The model distinguishes two different 
                         categories of storms, intense and non-intense rain cell events by 
                         determining how many parameters reach the intense storm 
                         threshold.",
                  doi = "10.1007/s11069-017-2988-y",
                  url = "http://dx.doi.org/10.1007/s11069-017-2988-y",
                 issn = "0921-030X",
             language = "en",
           targetfile = "medina_dual.pdf",
        urlaccessdate = "27 abr. 2024"
}