@Article{MouraChan:2019:EsCaCo,
               author = "Moura, Jos{\'e} Davi Oliveira de and Chan, Chou Sin",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Um estudo de caso da contribui{\c{c}}{\~a}o do transporte de 
                         momentum convectivo na distribui{\c{c}}{\~a}o de chuva",
              journal = "Anu{\'a}rio do Instituto de Geoci{\^e}ncias",
                 year = "2019",
               volume = "42",
               number = "2",
                pages = "208--216",
             keywords = "Convec{\c{c}}{\~a}o, Parametriza{\c{c}}{\~a}o C{\'u}mulos, 
                         Modelo Atmosf{\'e}rico, Convection, Cumulus Parameterization, 
                         Atmospheric Model.",
             abstract = "O estudo teve por objetivo avaliar o desempenho das 
                         simula{\c{c}}{\~o}es de precipita{\c{c}}{\~a}o do modelo Eta 
                         utilizando duas vers{\~o}es do esquema de 
                         parametriza{\c{c}}{\~a}o c{\'u}mulos Kain-Fritsch. Os efeitos 
                         do Transporte de Momentum Convectivo (TMC) foram 
                         inclu{\'{\i}}dos em uma das vers{\~o}es. Foram realizadas 
                         compara{\c{c}}{\~o}es entre simula{\c{c}}{\~o}es de chuva do 
                         modelo Eta e dados de precipita{\c{c}}{\~a}o estimado por 
                         sat{\'e}lite do CMORPH (CPC MORPHing Technique). Um caso de 
                         precipita{\c{c}}{\~a}o intensa sobre o sudeste do Brasil foi 
                         selecionado para as simula{\c{c}}{\~o}es de chuva do modelo Eta. 
                         A destreza do modelo foi avaliada pelo {\'{\i}}ndice ETS 
                         (Equitable Threat Score) e o BIAS. O ETS mostrou que, tanto para 
                         as simula{\c{c}}{\~o}es de 48 horas quanto para as de 72 horas, 
                         a vers{\~a}o com TMC teve maior pontua{\c{c}}{\~a}o para a 
                         precipita{\c{c}}{\~a}o leve e moderada. Para 
                         precipita{\c{c}}{\~o}es mais intensas, as vers{\~o}es obtiveram 
                         desempenhos similares. O BIAS mostrou que as 
                         simula{\c{c}}{\~o}es subestimaram a precipita{\c{c}}{\~a}o 
                         moderada e intensa. A vers{\~a}o com TMC mostrou menos 
                         subestimativa nas taxas intensas. A inclus{\~a}o do TMC melhorou 
                         o perfil do vento. ABSTRACT: The objective of the study was to 
                         evaluate the performance of the precipitation simulations of the 
                         Eta model using two versions of the Kain-Fritsch cumulus 
                         parameterization scheme. The effects of Convective Momentum 
                         Transport (CMT) were included in one of the versions. Comparison 
                         between Eta model precipitation simulations and the estimated 
                         satellite precipitation data from the CMORPH (CPC MORPHing 
                         Technique) were carried out. A case of intense precipitation over 
                         southeastern Brazil was selected for the Eta models rain 
                         simulations. The skill of the model was evaluated by the ETS 
                         (Equitable Threat Score) and BIAS. The Skill based on the 
                         Equitable Thread Score (ETS) showed that, for both 48-hour and 
                         72-hour simulations, the version with CMT scored higher for light 
                         and moderate precipitation. For intense precipitation, the two 
                         scheme versions scored similarly. The BIAS score showed that the 
                         simulations underestimated the moderate and intense precipitation. 
                         The version with CMT showed less underestimate in the intense 
                         rates. The inclusion of the CMT improved the wind profile.",
                  doi = "10.11137/2019_2_208_216",
                  url = "http://dx.doi.org/10.11137/2019_2_208_216",
                 issn = "0101-9759",
             language = "en",
           targetfile = "Moura_estudo.pdf",
        urlaccessdate = "03 maio 2024"
}