@InProceedings{FonsecaMart:2017:CaReVe,
               author = "Fonseca, Wellington Win{\'{\i}}cius Ferreira and Martins, 
                         Fernando Ramos",
                title = "Caracteriza{\c{c}}{\~a}o do regime de ventos e 
                         avalia{\c{c}}{\~a}o do potencial e{\'o}lico nas torres 
                         anemom{\'e}tricas da rede SONDA",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5729--5736",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The present study aimed to develop an anemometric data 
                         qualification algorithm and characterize the annual and seasonal 
                         wind resource patterns for data acquisition sites located in 
                         Brazil. Anemometric data has been collected through the SONDA 
                         measurement site located at the S{\~a}o Martinho da Serra, 
                         central region of Rio Grande do Sul, and Petrolina, inner region 
                         of Pernambuco. The time series covers the period from 2007 to 
                         2016. The qualification script was developed using MATLAB based on 
                         climatological data and WMO criteria. The annual wind resource 
                         patterns presented low seasonal and interannual variability in 
                         both measurement sites. Weibull distribution provided reliable 
                         values for shape (k) and scale (c) factors. The result showed that 
                         Petrolina presented good wind climate for electricity 
                         generation.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60101",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBK5",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBK5",
           targetfile = "60101.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}