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@PhDThesis{Gonçalves:2022:EsCoAm,
               author = "Gon{\c{c}}alves, Layrson de Jesus Menezes",
                title = "Estudo das condi{\c{c}}{\~o}es ambientais aplicadas na 
                         parametriza{\c{c}}{\~a}o de fra{\c{c}}{\~a}o de nuvens para 
                         representar a intera{\c{c}}{\~a}o entre 
                         nuvem-radia{\c{c}}{\~a}o",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2022",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2022-03-04",
             keywords = "dados observacionais, modelagem clim{\'a}tica, fra{\c{c}}{\~a}o 
                         de nuvem, intera{\c{c}}{\~a}o nuvem-radia{\c{c}}{\~a}o, BAM, 
                         observational data, climate modeling, cloud fraction, 
                         cloud-radiation interaction.",
             abstract = "Este estudo teve como objetivo compreender as rela{\c{c}}{\~o}es 
                         entre as vari{\'a}veis de larga escala (temperatura, omega e 
                         umidade relativa) e fluxo de radia{\c{c}}{\~a}o de onda curta e 
                         onda longa com a fra{\c{c}}{\~a}o de nuvem combinando dados de 
                         modelagem de alta resolu{\c{c}}{\~a}o e dados observacionais, 
                         visando o desenvolvimento de uma nova parametriza{\c{c}}{\~a}o 
                         de fra{\c{c}}{\~a}o de nuvens para obter uma melhor 
                         representa{\c{c}}{\~a}o da nebulosidade em um modelo 
                         atmosf{\'e}rico global. Para isso, foi feito um estudo 
                         observacional e de modelagem de alta resolu{\c{c}}{\~a}o, 
                         utilizando um Cloud Resolving Model (CRM) chamado de System for 
                         Atmospheric Modeling (SAM), com a finalidade de encontrar 
                         rela{\c{c}}{\~o}es entre vari{\'a}veis atmosf{\'e}ricas que 
                         pudessem ser usadas na nova parametriza{\c{c}}{\~a}o de 
                         fra{\c{c}}{\~a}o de nuvem. Foi desenvolvida uma 
                         parametriza{\c{c}}{\~a}o de fra{\c{c}}{\~a}o de nuvem baseada 
                         na distribui{\c{c}}{\~a}o de Weibull aplicada nas vari{\'a}veis 
                         progn{\'o}sticas de concentra{\c{c}}{\~a}o de {\'a}gua 
                         l{\'{\i}}quida e gelo, que primeiramente, foi testada em um 
                         modelo de intera{\c{c}}{\~a}o nuvem-radia{\c{c}}{\~a}o e por 
                         fim implementada e avaliada no Brazilian Atmospheric Model (BAM), 
                         em simula{\c{c}}{\~a}o clim{\'a}tica global para o 
                         per{\'{\i}}odo de 1975 a 2010. Os resultados indicaram que as 
                         anomalias, em rela{\c{c}}{\~a}o {\`a} m{\'e}dia do dia 
                         anterior, de temperatura, umidade relativa e {\^o}mega, al{\'e}m 
                         do conte{\'u}do de {\'a}gua, s{\~a}o vari{\'a}veis que podem 
                         ser utilizadas na estimativa da fra{\c{c}}{\~a}o de nuvem. A 
                         nova parametriza{\c{c}}{\~a}o de fra{\c{c}}{\~a}o de nuvem 
                         desenvolvida neste trabalho mostrou um bom desempenho na 
                         intera{\c{c}}{\~a}o com os fluxos de radia{\c{c}}{\~a}o de 
                         onda curta e onda longa e as taxas de aquecimento para distintas 
                         regi{\~o}es do planeta sob diferentes condi{\c{c}}{\~o}es 
                         atmosf{\'e}ricas. A simula{\c{c}}{\~a}o clim{\'a}tica com BAM 
                         utilizando a nova parametriza{\c{c}}{\~a}o de fra{\c{c}}{\~a}o 
                         de nuvem desenvolvida neste trabalho, mostrou uma melhor 
                         representa{\c{c}}{\~a}o da distribui{\c{c}}{\~a}o espacial da 
                         nebulosidade e o seu impacto nos fluxos radiativos de onda longa e 
                         onda curta na superf{\'{\i}}cie e topo da atmosfera, al{\'e}m 
                         mostrar consist{\^e}ncia nos campos de precipita{\c{c}}{\~a}o e 
                         de temperatura do ar a 2 metros. ABSTRACT: This study aimed to 
                         understand the relationships between large-scale variables 
                         (temperature, omega and relative humidity) and short-wave and 
                         long-wave radiation flux with the cloud fraction by combining 
                         high-resolution modeling data and observational data, aiming at 
                         the development of a new cloud fraction parameterization to obtain 
                         a better representation of cloudiness in a global atmospheric 
                         model. For this, an observational and high-resolution modeling 
                         study was carried out, using a Cloud Resolving Model (CRM) called 
                         System for Atmospheric Modeling (SAM), in order to find 
                         relationships between atmospheric variables that could be used in 
                         the new parameterization of cloud fraction. A cloud fraction 
                         parameterization was developed based on the Weibull distribution 
                         applied to the prognostic variables of liquid water and ice 
                         concentration, which was first tested in a cloud-radiation 
                         interaction model and finally implemented and evaluated in the 
                         Brazilian Atmospheric Model (BAM), in a global climate simulation 
                         for the period from 1975 to 2010.The results indicated that the 
                         anomalies, in relation to the average of the previous day, of 
                         temperature, relative humidity and omega, in addition to the water 
                         content, are variables that can be used in the estimation of the 
                         cloud fraction. The new cloud fraction parameterization developed 
                         in this work showed a good performance in the interaction with 
                         shortwave and longwave radiation fluxes and heating rates for 
                         different regions of the planet under different atmospheric 
                         conditions. The climate simulation with BAM using the new cloud 
                         fraction parameterization developed in this work, showed a better 
                         representation of the spatial distribution of cloudiness and its 
                         impact on long-wave and short-wave radiative fluxes at the surface 
                         and top of the atmosphere, in addition to showing consistency in 
                         the fields of precipitation and air temperature at 2 meters.",
            committee = "Bottino, Marcus Jorge (presidente) and Kubota, Paulo Yoshio 
                         (orientador) and Costa, Simone Marilene Sievert da (orientadora) 
                         and Melo, Maria Luciene Dias de and Ros{\'a}rio, Nilton Manuel 
                         {\'E}vora do",
         englishtitle = "Study of environmental conditions applied in the parameterization 
                         of cloud fraction to represent the cloud-radiation interaction",
             language = "pt",
                pages = "135",
                  ibi = "8JMKD3MGP3W34T/46EDAF8",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34T/46EDAF8",
           targetfile = "publicacao.pdf",
        urlaccessdate = "08 maio 2024"
}


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