@InProceedings{NogueiraMore:2015:AvPrTe,
               author = "Nogueira, Sulimar Munira Caparoci and Moreira, Mauricio Alves",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o das previs{\~o}es de temperatura do modelo 
                         ETA para o Estado do Paran{\'a}",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2071--2078",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Climate data from weather stations may present information 
                         failures. Furthermore, meteorological stations in Brazil are often 
                         sparsely distributed, which restricts the use of this information 
                         only to places where it is available. On the other hand, when 
                         climatic information is available through numerical weather 
                         forecast models, it is advantageous because it covers extensive 
                         surface area and can supplement a lack of observations of 
                         meteorological variables in the field. However, numerical modeling 
                         still does not faithfully represent atmospheric processes, and 
                         knowledge of errors associated with the models are important for 
                         its validation and calibration. This work aims to evaluate the 
                         errors associated with the predictions of maximum, average and 
                         minimum temperatures (°C) in the State of Parana, obtained by the 
                         Regional ETA model made available by the Center for Weather 
                         Forecast and Climatic Studies (CPTEC/INPE). To this end, the 
                         following statistical parameters were used: mean of errors (MBE), 
                         the root-mean-square error (RMSE) and mean absolute errors (MAE) 
                         for the period from May 8, 2011 to October 31, 2011. The results 
                         showed that, in comparison to the data measured at meteorological 
                         stations, the maximum temperature supplied by the ETA model is 
                         underestimated while the average and minimum temperatures are 
                         overestimated. For the period and region analyzed, it was found 
                         that of the three studied variables, the mean temperature of the 
                         air is the variable best represented by modeling.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "409",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49K2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49K2",
           targetfile = "p0409.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}