@Article{LuizSilvaSouVasGarGui:2022:EaAmBr,
               author = "Luiz Silva, Wanderson and Souza, Pedro Regoto de and Vasconcellos, 
                         Camila Ferreira and Garcia, Katia Cristina and Guimar{\~a}es, 
                         Felipe Bevilaqua Foldes",
          affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade do 
                         Estado do Rio de Janeiro (UERJ)} and {Centro de Pesquisa de 
                         Energia El{\'e}trica (CEPEL)} and {Universidade Federal do Rio de 
                         Janeiro (UFRJ)}",
                title = "A comprehensive analysis of observed and projected climate 
                         extremes of temperature and precipitation in Belo Monte Hydropower 
                         Plant - eastern Amazon, Brazil",
              journal = "International Journal of Climatology",
                 year = "2022",
               volume = "42",
               number = "16",
                pages = "9710--9729",
                month = "Dec.",
             keywords = "climate change, climate extremes, climatology, precipitation, 
                         temperature, Xingu River basin.",
             abstract = "In this work, the climatology, observed trends, and future 
                         projections of temperature and precipitation extremes are analysed 
                         in the drainage area of the Belo Monte Hydropower Plant in the 
                         Xingu River basin. Observed data come from gridded information for 
                         the period 19802013. The climate projections until the end of the 
                         21st century are provided by the regional climate model Eta-20 km 
                         nested to the global climate model MIROC5. Seventeen climate 
                         indicators were selected for this assessment, and statistical 
                         tests were used to evaluate the significance and magnitude of 
                         trends. A tropical climate predominates in the whole basin but 
                         with differences in the climatology of extreme temperature. The 
                         average annual rainfall (PRCPTOT) presents values between 1,500 
                         and 2,200 mm. Remarkable contrasts of consecutive dry days (CDD) 
                         can also be seen. We found a warming signal during the examined 
                         period in much of the Xingu River basin, with an increase in the 
                         frequency of extremely warm days and nights. In the northern 
                         (south-central) area of the basin, there is an increase 
                         (reduction) in precipitation. There is a contrasted and local 
                         distribution of detected trends in all climate extremes indices 
                         related to rainfall. CDD has displayed a considerable elevation in 
                         the south-central area over the last decades. The study area 
                         exhibits statistically significant warming projections to the 
                         future climate. As for the precipitation projections, future 
                         changes are toward a dryer climate. We also found that dry periods 
                         may last longer in the following decades. Thus, heatwaves can be 
                         excited by subsequent days without precipitation in the basin in 
                         the future climate. The impacts of climate change on the balance 
                         of different environmental and socioeconomic sectors in this area 
                         must be wholly investigated.",
                  doi = "10.1002/joc.7859",
                  url = "http://dx.doi.org/10.1002/joc.7859",
                 issn = "0899-8418",
           targetfile = "Intl Journal of Climatology - 2022 - Luiz\‐Silva - A 
                         comprehensive analysis of observed and projected climate extremes 
                         of.pdf",
        urlaccessdate = "01 maio 2024"
}