@Article{GarciaStepOliv:2013:EsCoPr,
               author = "Garcia, Jo{\~a}o Victor Cal and Stephany, Stephan and d'Oliveira, 
                         Augusto B.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Center for Monitoring 
                         and Warnings of Natural Disasters (CEMADEN-MCTI), Cachoeira 
                         Paulista, Brazil",
                title = "Estimation of convective precipitation mass from lightning data 
                         using a temporal sliding-window for a series of thunderstorms in 
                         Southeastern Brazil",
              journal = "Atmospheric Science Letters",
                 year = "2013",
               volume = "14",
               number = "4",
                pages = "281--286",
                month = "Oct./Dec.",
             keywords = "convective precipitation mass, lightning, thunderstorms.",
             abstract = "Some studies have proposed the estimation of convective rainfall 
                         from lightning observations by the computation of the 
                         rainfall-lightning ratio (RLR). However, as such ratio may depend 
                         on season, convective regime and other factors, known approaches 
                         failed to provide values of RLR with low variability. An accurate 
                         RLR would allow estimating rainfall from lightning data in areas 
                         that lack weather radar coverage. This work proposes a 
                         straightforward approach for the computation of RLR, based on a 
                         temporal sliding-window and a fitting function. It was tested for 
                         thunderstorms observed in the Southeastern Brazil with good 
                         results.",
                  doi = "10.1002/asl2.453",
                  url = "http://dx.doi.org/10.1002/asl2.453",
                 issn = "1530-261X",
                label = "scopus 2013-11",
             language = "en",
           targetfile = "asl2453.pdf",
        urlaccessdate = "07 maio 2024"
}