@Article{AraújoSilvSilv:2019:SiPrTe,
               author = "Ara{\'u}jo, Gl{\'{\i}}cia Ruth Garcia de and Silva, 
                         Cl{\'a}udio Mois{\'e}s Santos e and Silva, Aline Gomes da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and Instituto 
                         Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Rio 
                         Grande do Norte (IFRN)",
                title = "Avalia{\c{c}}{\~a}o das parametriza{\c{c}}{\~o}es cumulos 
                         Emanuel e Grell do Modelo Clim{\'a}tico Regional RegCM4: 
                         simulando a precipita{\c{c}}{\~a}o e temperatura a 
                         superf{\'{\i}}cie sobre o nordeste brasileiro durante o outono 
                         austral",
              journal = "Anu{\'a}rio do Instituto de Geoci{\^e}ncias",
                 year = "2019",
               volume = "42",
               number = "1",
                pages = "231--240",
                 note = "{Evaluation of Cumulus Parametrizations Emanuel and Grell of 
                         Regional} and {Climate Model RegCM4: Simulating Precipitation and 
                         Surface Temperature over Northeastern of} and {Brazil during the 
                         Southern Autumn}",
             keywords = "RegCM4, An{\'a}lise de cluster, Avalia{\c{c}}{\~a}o, RegCM4, 
                         Cluster Analysis, Evaluation.",
             abstract = "O resultado de simula{\c{c}}{\~o}es com modelos din{\^a}micos 
                         regionais apresentam erros sistem{\'a}ticos em diferentes 
                         regi{\~o}es do mundo. Na regi{\~a}o tropical, tais erros 
                         s{\~a}o geralmente associados {\`a}s incertezas nas 
                         parametriza{\c{c}}{\~o}es f{\'{\i}}sicas, por exemplo, 
                         convec{\c{c}}{\~a}o profunda ou a microf{\'{\i}}sica de 
                         nuvens. Assim, o objetivo foi avaliar a precipita{\c{c}}{\~a}o e 
                         temperatura de simula{\c{c}}{\~o}es realizadas com o modelo 
                         RegCM4, com base em diferentes parametriza{\c{c}}{\~o}es (Grell 
                         e Emanuel). A {\'a}rea de estudo foi o Nordeste do Brasil (NEB) 
                         durante o outono (Mar{\c{c}}o-Abril-Maio) de 1998 a 2008. Para 
                         avaliar a precipita{\c{c}}{\~a}o utilizaram-se dados do produto 
                         3B42_V6 a partir de medidas do sat{\'e}lite Tropical Rainfall 
                         Measuring Mission (TRMM). A temperatura {\`a} superf{\'{\i}}cie 
                         foi avaliada por meio dos resultados de rean{\'a}lises do 
                         ERA-Interim. A metodologia foi composta pela an{\'a}lise de 
                         cluster atrav{\'e}s de m{\'e}todo hier{\'a}rquico de 
                         vari{\^a}ncia m{\'{\i}}nima de Ward, correla{\c{c}}{\~a}o de 
                         Pearson, an{\'a}lise de vari{\^a}ncia (ANOVA) e teste de 
                         diferen{\c{c}}as entre m{\'e}dias (t-Student) com n{\'{\i}}vel 
                         de signific{\^a}ncia de 0,05. Al{\'e}m disso, calcularam-se os 
                         {\'{\i}}ndices de exatid{\~a}o: Erro Absoluto M{\'e}dio (MAE) 
                         e a Raiz do Erro M{\'e}dio Quadr{\'a}tico (RMSE). Para 
                         realiza{\c{c}}{\~a}o das an{\'a}lises estat{\'{\i}}sticas 
                         utilizou-se o software R vers{\~a}o 3.4.3. Concluiu-se que ambas 
                         as simula{\c{c}}{\~o}es subestimam a precipita{\c{c}}{\~a}o 
                         estimada pelo TRMM. A simula{\c{c}}{\~a}o com a 
                         parametriza{\c{c}}{\~a}o de Emanuel apresentou os menores erros 
                         nos clusters 1, 3 e 4. Em rela{\c{c}}{\~a}o {\`a} temperatura 
                         simulada pelo RegCM4, as parametriza{\c{c}}{\~o}es obtiveram 
                         resultados melhores na simula{\c{c}}{\~a}o desta vari{\'a}vel 
                         em todos os clusters. ABSTRACT: The result of simulations with 
                         regional dynamic models presents systematic errors in different 
                         regions of the world. In the tropical region, such errors are 
                         usually associated with the uncertainties in the physical 
                         parameterizations, for example, deep convection or the cloud 
                         microphysics. Thus, the objective was to evaluate precipitation 
                         and temperature of simulations performed with the RegCM4 model, 
                         based on different parameterizations (Grell and Emanuel). The 
                         study area was the Northeast of Brazil (NEB) during the southern 
                         autumns (March-April-May) from 1998 to 2008. For evaluate the 
                         precipitation used 3B42_V6 algorithm data from the Tropical 
                         Rainfall Measuring Mission satellite (TRMM). The surface 
                         temperature was evaluated through the results reanalysis of 
                         ERA-Interim. The methodology was composed by cluster analysis per 
                         Wards minimal variance hierarchical method, Pearson correlation, 
                         analysis of variance (ANOVA) and test of differences between 
                         averages (t-Student) with significance level of 0.05. Moreover, 
                         the accuracy indices were calculated: Mean Absolute Error (MAE) 
                         and the Root Mean Squared Error (RMSE). For realization the 
                         statistical analysis used the R software version 3.4.3. It was 
                         concluded that both simulations underestimate precipitation 
                         estimated by TRMM. The simulation with parameterization of Emanuel 
                         presented minor errors in clusters 1, 3 and 4. In relation the 
                         temperature simulated by the RegCM4, the best results were 
                         obtained in simulation of this variable in all clusters.",
                 issn = "0101-9759",
             language = "pt",
           targetfile = "araujo_avaliacao.pdf",
                  url = "http://www.anuario.igeo.ufrj.br/2019_01/2019_1_231_240.pdf",
        urlaccessdate = "27 abr. 2024"
}