@Article{PinheiroEscoAndr:2014:ApObFo,
               author = "Pinheiro, Henri Rossi and Escobar, Gustavo Carlos Juan and 
                         Andrade, Kelen Martins",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Applying an objective forecasting tool for severe weather in 
                         operational environment",
              journal = "Revista Brasileira de Meteorologia",
                 year = "2014",
               volume = "29",
               number = "2",
                pages = "209--228",
             keywords = "ferramenta objetiva, {\'{\i}}ndices de instabilidade, objective 
                         tool, instability index.",
             abstract = "This study discusses the feasibility of employing an objective 
                         forecasting tool in an operational environment, with main purpose 
                         of aiding the human forecaster in the task of thunderstorm 
                         prediction. The method is based on the combination of widely 
                         documented convective parameters, such as K, Total Totals and 
                         SWEAT instability indices. Charts were produced to help the 
                         identification of areas with high potential to generate storms, 
                         defined by specific criteria for severe weather. An alternative 
                         for detecting areas favorable to hail occurrence was also 
                         presented for identifying those events originated by strong 
                         dynamical forcing. The thresholds used were important to 
                         characterize the precipitation behavior, allowing them to 
                         discriminate different convective modes. The results showed that 
                         the objective tool can be an efficient alternative for 
                         thunderstorm prediction in South America because it allows the 
                         forecaster to overcome some of the limitations found in numerical 
                         models, particularly with respect to precipitation forecasting.",
                  doi = "10.1590/S0102-77862014000200006",
                  url = "http://dx.doi.org/10.1590/S0102-77862014000200006",
                 issn = "0102-7786",
                label = "scopus 2014-11 PinheiroJuanAndr:2014:ApObFo",
             language = "pt",
           targetfile = "Pinheiro_Aplica{\c{c}}{\~a}o.pdf",
        urlaccessdate = "27 abr. 2024"
}