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@Article{MartinsSilvPere:2008:InClCo,
               author = "Martins, Fernando Ramos and Silva, Sheila de Araujo Bandeira and 
                         Pereira, Enio Bueno",
          affiliation = "Instituto Nacional de Pesquisas Espaciais (INPE), Centro de 
                         Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos (CPTEC) and 
                         Instituto Nacional de Pesquisas Espaciais (INPE), Centro de 
                         Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos (CPTEC) and 
                         Instituto Nacional de Pesquisas Espaciais (INPE), Centro de 
                         Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos (CPTEC)",
                title = "The influence of cloud cover index on the accuracy of solar 
                         irradiance model estimates",
              journal = "Meteorology and Atmospheric Physics",
                 year = "2008",
               volume = "99",
               number = "3-4",
                pages = "169--180",
                month = "Apr.",
                 note = "{DOI 10.1007/s00703-007-0272-5}",
             keywords = "satellite data, physical model, surface, radiation, land.",
             abstract = "Cloud cover index (CCI) obtained from satellite images contains 
                         information on cloud amount and their optical thickness. It is the 
                         chief climate data for the assessment of solar energy resources in 
                         most radiative transfer models, particularly for the model 
                         BRASIL-SR that is currently operational at CPTEC. The wide range 
                         of climate environments in Brazil turns CCI determination into a 
                         challenging activity and great effort has been directed to develop 
                         new methods and procedures to improve the accuracy of these 
                         estimations from satellite images (Martins 2001; Martins et al. 
                         2003a; Ceballos et al. 2004). This work demonstrates the influence 
                         of CCI determination methods on estimates of surface solar 
                         irradiances obtained by the model BRASIL-SR comparing deviations 
                         among ground data and model results. Three techniques using 
                         visible and=or thermal infrared images of GOES-8 were employed to 
                         generate the CCI for input into the model BRASIL-SR. The 
                         groundtruth data was provided by the solar radiation station 
                         located at Caico=PE, in Brazilian Northeast region, which is part 
                         of the UNEP=GEF project SWERA (Solar and Wind Energy Resources 
                         Assessment). Results have shown that the application of the 
                         bi-spectral techniques have reduced mean bias error up to 66% and 
                         root mean square error up to 50% when compared to the usual 
                         technique for CCI determination based on the straightforward 
                         determination of month-by-month extremes for maximum and minimum 
                         cloud states.",
                  doi = "10.1007/s00703-007-0272-5",
                  url = "http://dx.doi.org/10.1007/s00703-007-0272-5",
                 issn = "0177-7971",
             language = "en",
           targetfile = "martins_influence.pdf",
        urlaccessdate = "18 jan. 2021"
}


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