@Article{PereiraSilvMora:2013:ImSiAt,
               author = "Pereira, Gabriel and Silva, Maria Elisa Siqueira and Moraes, 
                         Elisabete Caria",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade de S{\~a}o Paulo} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Impactos na simula{\c{c}}{\~a}o atmosf{\'e}rica devido {\`a} 
                         mudan{\c{c}}a do uso e cobertura da terra na Am{\'e}rica do 
                         Sul",
              journal = "Boletim de Geografia",
                 year = "2013",
               volume = "31",
               number = "2",
                pages = "85--100",
                month = "maio.-ago.",
             keywords = "RegCM4, modelagem num{\'e}rica, sensoriamento remoto, 
                         precipita{\c{c}}{\~a}o, temperatura do ar, modelagem 
                         clim{\'a}tica, sensoriamento remoto.",
             abstract = "Os modelos regionais de previs{\~a}o do tempo e clima s{\~a}o 
                         ferramentas importantes para o entendimento das 
                         intera{\c{c}}{\~o}es entre a biosfera e atmosfera, por{\'e}m, 
                         sua acur{\'a}cia depende de parametriza{\c{c}}{\~o}es 
                         real{\'{\i}}sticas dos processos que envolvem estas 
                         vari{\'a}veis. Na maioria dos modelos regionais, o mapa de uso e 
                         cobertura da terra n{\~a}o {\'e} atualizado com frequ{\^e}ncia 
                         e encontra-se defasado, influenciando, nos resultados obtidos a 
                         partir das simula{\c{c}}{\~o}es de tempo e clima. As 
                         mudan{\c{c}}as de uso e cobertura da terra ocasionam 
                         altera{\c{c}}{\~o}es no balan{\c{c}}o de energia, na 
                         temperatura do ar, na precipita{\c{c}}{\~a}o, na umidade do ar e 
                         na circula{\c{c}}{\~a}o regional e global. Desta forma, o 
                         presente trabalho tem como objetivo principal verificar o impacto 
                         nas simula{\c{c}}{\~o}es num{\'e}ricas do RegCM4 oriundas da 
                         atualiza{\c{c}}{\~a}o do mapa de uso e cobertura da terra 
                         utilizados pelo modelo de superf{\'{\i}}cie Biosphere Atmosphere 
                         Transfer Scheme (BATS). A partir da atualiza{\c{c}}{\~a}o do uso 
                         e cobertura da terra utilizado no modelo de superf{\'{\i}}cie 
                         BATS para o ano 2007 obteve-se uma melhora de 10% na 
                         simula{\c{c}}{\~a}o da precipita{\c{c}}{\~a}o, aumentando de 
                         0,84 para 0,92 o coeficiente de correla{\c{c}}{\~a}o 
                         (significante a p<0,05, teste t-Student). Ainda, nota-se uma boa 
                         concord{\^a}ncia das simula{\c{c}}{\~o}es no que diz respeito 
                         {\`a} temperatura m{\'a}xima e m{\'{\i}}nima, com coeficientes 
                         de correla{\c{c}}{\~a}o pr{\'o}ximo a 0,95 e valores muito 
                         pr{\'o}ximos ao esperado. ABSTRACT: The weather and climate 
                         regional models are important tools for understanding the 
                         interactions between the biosphere and atmosphere, however its 
                         accuracy depends of realistic parameterizations of processes 
                         involving these variables. In most regional models, land cover and 
                         land use maps are not frequently updated and is outdated, 
                         influencing the results obtained from simulations of weather and 
                         climate. The land use and land cover changes modify the air 
                         temperature, precipitation, air moisture, energy balance and 
                         regional and global circulation. Consequently, the land use and 
                         land cover maps and its physical-chemical and biological 
                         properties are an important variable for numerical models of 
                         terrestrial systems. However, in majority regional weather and 
                         climate models, the land use and land cover map is not updated 
                         frequently, being out-of-date and influencing in the results of 
                         simulations. Therefore, this work has as main objective to analyze 
                         the impacts in numerical simulations of RegCM4 resulting of land 
                         use and land cover map updating used by the Biosphere Atmosphere 
                         Transfer Scheme (BATS). In addition, the update of the South 
                         America 2007 land use and land cover map used by BATS improves in 
                         10% the simulation of precipitation, increasing from 0.84 to 0.92 
                         the correlation coefficient (significant at p <0.05, Students 
                         t-test). Moreover, there is a good agreement of simulations 
                         regarding the maximum and minimum temperature, with correlation 
                         coefficients near to 0.95 and very close to the observed values.",
                  doi = "10.4025/bolgeogr.v31i2.19059",
                  url = "http://dx.doi.org/10.4025/bolgeogr.v31i2.19059",
                 issn = "0102-5198",
                label = "lattes: 1682210041460939 1 PereiraSilvMora:2013:ImSiAt",
             language = "pt",
           targetfile = "19059-85718-1-PB (1).pdf",
        urlaccessdate = "27 abr. 2024"
}