@Article{MartinsLimCosGonPer:2019:DaGeEv,
               author = "Martins, Fernando Ramos and Lima, Francisco Jos{\'e} Lopes de and 
                         Costa, Rodrigo Santos and Gon{\c{c}}alves, Andr{\'e} Rodrigues 
                         and Pereira, Enio Bueno",
          affiliation = "{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Data generated by evaluating the seasonal variability and trend 
                         analysis of the solar energy resource in the Northeastern 
                         Brazilian region",
              journal = "Data in Brief",
                 year = "2019",
               volume = "26",
                pages = "104529",
             keywords = "solar irradiation data, seasonal variability, cluster analysis, 
                         trend analysis.",
             abstract = "The solar radiation is the primary energy resource for several 
                         human activities. Nowadays, the environmental issues and climate 
                         concerning are boosting the substitution of fossil fuel resources 
                         by renewable energy resources, including the adoption of solar 
                         energy for power generation. Although the solar power stands for 
                         0.2% of the Brazilian electricity mix, the solar energy resource 
                         in the Northeastern Brazilian region (NEB) is higher than in 
                         countries where the solar energy market is already consolidated. 
                         Nowadays, it is crucial to deepen the comprehension of solar 
                         resource time and spatial variability in NEB to support and 
                         promote the solar energy market and save water to other purposes 
                         than power generation. The paper presents the data generated by 
                         Lima et al. (2019). The database, based on meteorological 
                         observations at 129 automated weather stations, provides reliable 
                         information on the spatial and seasonal variability of the 
                         incoming solar irradiation in NEB.",
                  doi = "10.1016/j.dib.2019.104529",
                  url = "http://dx.doi.org/10.1016/j.dib.2019.104529",
                 issn = "2352-3409",
                label = "lattes: 2669917809806669 3 MartinsLimCosGonPer:2019:DaGeEv",
             language = "en",
           targetfile = "martins_data.pdf",
        urlaccessdate = "18 abr. 2024"
}