@Article{TippettGoPeMaFiCo:2024:DaSoSe,
               author = "Tippett, Anna and Gon{\c{c}}alves, Andr{\'e} Rodrigues and 
                         Pereira, Enio Bueno and Martins, Fernando Ramos and Fisch, 
                         Gilberto and Costa, Rodrigo Santos",
          affiliation = "{University of Oxford} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade de Taubat{\'e} (UNITAU)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and 
                         {Universidade de Taubat{\'e} (UNITAU)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Data Source Sensitivity in Solar Radiation Typical Meteorological 
                         Year (TMY) for Five Different Regions of Brazil",
              journal = "Tellus A: Dynamic Meteorology and Oceanography",
                 year = "2024",
               volume = "76",
               number = "1",
                pages = "29--41",
                month = "Apr.",
             keywords = "TMY, Typical Meteorological Year, Meteorological Data, Solar 
                         Energy, Solar Radiation.",
             abstract = "In this article, we examine how sensitive the methodology for 
                         calculating a Typical Meteorological Year (TMY) is to changes in 
                         the source of the meteorological data series and the weighting 
                         factors used. Three different sources of meteorological data 
                         ground-based observations, modeled satellite-derived data, and 
                         ERA5 reanalysis data were used to determine the sensitivity of the 
                         TMY to the data source. The TMY was created for five different 
                         climatic regions in Brazil using 13 years of hourly data for 
                         meteorological indices consisting of maximum, minimum, and average 
                         air temperature, relative humidity, wind speed, global total 
                         horizontal radiation, and normal direct solar radiation. The study 
                         shows that the source of the meteorological data plays little role 
                         in determining the most typical months. The typicality of the 
                         months was consistent even when data sources as diverse as in situ 
                         and modeled data were used. The study also shows that the exact 
                         choice of weighting scheme for the meteorological data source is 
                         relatively arbitrary, if not irrelevant. This is because 
                         meteorological parameters are not independent variables and 
                         therefore often represent redundant information. A few independent 
                         parameters are sufficient to produce a good TMY and adding several 
                         interdependent parameters does not improve the quality of the TMY 
                         produced.",
                  doi = "10.16993/tellusa.3261",
                  url = "http://dx.doi.org/10.16993/tellusa.3261",
                 issn = "0280-6495",
             language = "en",
           targetfile = "661544076f792.pdf",
        urlaccessdate = "2024, May 17"
}