@InProceedings{AraujoLore:1998:AvAcTe,
               author = "Araujo, Carlos Eduardo Salles de and Lorenzzetti, Jo{\~a}o 
                         Antonio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o da acur{\'a}cia das temperaturas da 
                         superf{\'{\i}}cie do mar obtidas por sat{\'e}lite para a 
                         regi{\~a}o sul-sudeste da costa brasileira",
            booktitle = "Anais...",
                 year = "1998",
               editor = "Krug, Thelma and Rudorff, Bernardo Friedrich Theodor and Freitas, 
                         Ubirajara Moura de",
                pages = "769--782",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 9. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "OCEANOGRAFIA, TEMPERATURA DA SUPERFICIE DO MAR, BOIAS DE DERIVA, 
                         MEDIDAS, RADIOMETRO AVANCADO DE RESOLUCAO MUITO ALTA, AVHRR, 
                         BOIAS.",
             abstract = "The accuracies of the global AVHRR Sea Surface Temperature 
                         (SST)algorithms, derived from NOAA 11 and 12 satellites, were 
                         determined from comparisons with a match-up data set of drifting 
                         buoy measurements for the southeast coast of Brazil. The NOAA 11 
                         algorithm had a RMSD of 0.87 C with a bias of 0.24 C, and the NOAA 
                         12 algorithm presented a RMSD of 0.94 C and a bias of 0.32 C. In 
                         order to eliminate the bias and reduce the RMSD's, new regional 
                         algorithms were derived for the region, with two different 
                         approaches. In the first, regression lines are used to correct the 
                         SST values generated by the global algorithm. In the second, new 
                         split-window equations were derived by multiple regression models. 
                         The application of both methods leads to RMSD's improvements, with 
                         no significant statistical differences between them.",
  conference-location = "Santos",
      conference-year = "11-18 set. 1998",
                 isbn = "85-17-00015-3",
                label = "8156",
             language = "Pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "sid.inpe.br/deise/1999/02.08.17.02",
                  url = "http://urlib.net/ibi/sid.inpe.br/deise/1999/02.08.17.02",
           targetfile = "5_92o.pdf",
                 type = "Oceanografia",
        urlaccessdate = "23 maio 2024"
}