@InProceedings{SilveiraCava:2013:TePrTe,
               author = "Silveira, Virginia Piccinini and Cavalcanti, Iracema Fonseca de 
                         Albuquerque",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Tend{\^e}ncia da precipita{\c{c}}{\~a}o e das temperaturas 
                         m{\'a}xima e m{\'{\i}}nima sazonal no Estado de S{\~a}o Paulo 
                         para o clima futuro/ Seasonal trends of maximum and minimum 
                         temperatures and precipitation in the S{\~a}o Paulo state for the 
                         future climate",
            booktitle = "Anais...",
                 year = "2013",
         organization = "Simp{\'o}sio Internacional de Climatologia, 5. (SIC).",
             keywords = "Trends, climate change.",
             abstract = "RESUMO: As proje{\c{c}}{\~o}es do clima futuro regional mostram 
                         as mudan{\c{c}}as clim{\'a}ticas numa escala local. Assim, 
                         tem-se uma vis{\~a}o mais detalhada dos impactos dessas 
                         mudan{\c{c}}as na agricultura, economia e consequentemente na 
                         sociedade. Neste trabalho foi calculada a tend{\^e}ncia sazonal 
                         da precipita{\c{c}}{\~a}o, da temperatura m{\'a}xima e da 
                         temperatura m{\'{\i}}nima para o estado de S{\~a}o Paulo. 
                         Tamb{\'e}m foi calculada a diferen{\c{c}}a entre a temperatura 
                         m{\'a}xima e a temperatura m{\'{\i}}nima (amplitude). 
                         Resultados do modelo regional Eta com condi{\c{c}}{\~o}es 
                         laterais de contorno de 4 membros do modelo global do UK Met 
                         Office Hadley Centre HadCM3 foram utilizados para o 
                         per{\'{\i}}odo de 2020-2090. O m{\'e}todo usado para calcular a 
                         tend{\^e}ncia foi o teste de Mann-Kendall. Em todas as 
                         proje{\c{c}}{\~o}es do modelo Eta a temperatura m{\'a}xima e a 
                         m{\'{\i}}nima apresentaram tend{\^e}ncia positiva e 
                         significante acima de 90%. A tend{\^e}ncia da amplitude n{\~a}o 
                         foi igual para todas as proje{\c{c}}{\~o}es e 
                         esta{\c{c}}{\~o}es do ano. Isso mostra que a variabilidade da 
                         temperatura m{\'a}xima e da m{\'{\i}}nima n{\~a}o {\'e} a 
                         mesma nas proje{\c{c}}{\~o}es futuras. A tend{\^e}ncia da 
                         precipita{\c{c}}{\~a}o mostra uma dispers{\~a}o entre as 
                         proje{\c{c}}{\~o}es, e em JJA n{\~a}o houve tend{\^e}ncia 
                         significativa em nenhuma proje{\c{c}}{\~a}o. ABSTRACT: Regional 
                         projections of future climate show climate change on a local 
                         scale. Therefore, it shows details of the impacts of these changes 
                         in agriculture, economy and consequently in society. In this work 
                         we calculated the seasonal trend of precipitation, maximum and 
                         minimum temperature for the state of S{\~a}o Paulo, as well as 
                         the difference between the maximum and the minimum temperature 
                         (range). Results of the regional Eta model integrated with lateral 
                         boundary conditions from 4 members of HadCM3 were used for the 
                         period 2020-2090. The Mann-Kendall method was used to calculate 
                         the trend. In the Eta model projections, the maximum and minimum 
                         temperature trends were positive and significant above 90%. The 
                         amplitude trends were different for the members projections and 
                         seasons. This shows that the variability of the maximum and the 
                         minimum temperature is not the same in the future projections. The 
                         precipitation trends show dispersion among the members 
                         projections, and in JJA, there was not significant trend in any 
                         member projection.",
  conference-location = "Florian{\'o}polis, SC",
      conference-year = "15-19, set.",
        urlaccessdate = "01 maio 2024"
}