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@PhDThesis{Siqueira:2024:ImCaLi,
               author = "Siqueira, Vanessa Almeida de",
                title = "Impacto na camada limite planet{\'a}ria da 
                         representa{\c{c}}{\~a}o da superf{\'{\i}}cie em 
                         simula{\c{c}}{\~o}es de alta resolu{\c{c}}{\~a}o para um 
                         ambiente de floresta tropical na Amaz{\^o}nia",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2024",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2023-10-11",
             keywords = "Amaz{\^o}nia, par{\^a}metros de superf{\'{\i}}cie, BRAMS, 
                         JULES, ATTO, Amazon, surface parameters, BRAMS, JULES, ATTO.",
             abstract = "Este trabalho teve como objetivo verificar o impacto de ajustes de 
                         par{\^a}metros do modelo de superf{\'{\i}}cie na Camada Limite 
                         Planet{\'a}ria (CLP), ao se realizar simula{\c{c}}{\~o}es em 
                         alta resolu{\c{c}}{\~a}o em um ambiente de floresta tropical 
                         {\'u}mida na Amaz{\^o}nia. Neste ambiente, altamente convectivo 
                         e com terreno extremamente complexo, o processo de modelagem da 
                         CLP tropical ainda {\'e} um desafio. Uma descri{\c{c}}{\~a}o 
                         incorreta ou insuficiente da superf{\'{\i}}cie pode conduzir a 
                         uma defici{\^e}ncia na representa{\c{c}}{\~a}o dos processos de 
                         transfer{\^e}ncia turbulenta entre a superf{\'{\i}}cie e a 
                         atmosfera, gerando impactos diretos nas simula{\c{c}}{\~o}es 
                         num{\'e}ricas de tempo. Diante disso, foram realizadas 
                         simula{\c{c}}{\~o}es utilizando o modelo de superf{\'{\i}}cie 
                         JULES acoplado ao modelo atmosf{\'e}rico BRAMS em alta 
                         resolu{\c{c}}{\~a}o. Foram realizadas integra{\c{c}}{\~o}es a 
                         partir do modelo com dois dom{\'{\i}}nios aninhados, com 
                         espa{\c{c}}amento horizontal de grade de 5 km e 1 km, centrados 
                         no s{\'{\i}}tio experimental da torre ATTO (Amazon Tall Tower 
                         Observatory). Foi elaborado um mapa de uso do solo com 
                         resolu{\c{c}}{\~a}o espacial de 30 metros e um mapa 
                         topogr{\'a}fico a partir de imagens SRTM com 
                         resolu{\c{c}}{\~a}o de 90 metros para implementa{\c{c}}{\~a}o 
                         nas simula{\c{c}}{\~o}es de alta resolu{\c{c}}{\~a}o. O estudo 
                         foi realizado em tr{\^e}s etapas: Realiza{\c{c}}{\~a}o de 
                         testes de sensibilidade para se avaliar a influ{\^e}ncia do 
                         refinamento do mapa de vegeta{\c{c}}{\~a}o das 
                         simula{\c{c}}{\~o}es dos dom{\'{\i}}nios com 
                         resolu{\c{c}}{\~a}o espacial de 5x5 km e 1x1 km, 
                         verifica{\c{c}}{\~a}o do desempenho das 
                         parametriza{\c{c}}{\~o}es de CLP com aninhamento de grade para 
                         d02 e avalia{\c{c}}{\~a}o dos efeitos de altera{\c{c}}{\~o}es 
                         das caracter{\'{\i}}sticas superficiais. A 
                         implementa{\c{c}}{\~a}o de mapas de uso do solo em alta 
                         resolu{\c{c}}{\~a}o resultou em uma melhor correspond{\^e}ncia 
                         entre as previs{\~o}es e os dados observados, principalmente na 
                         grade com resolu{\c{c}}{\~a}o espacial de 1 km. O modelo 
                         apresentou bons resultados na estimativa de grande parte das 
                         vari{\'a}veis analisadas, com exce{\c{c}}{\~a}o da intensidade 
                         do vento (todos os n{\'{\i}}veis) e a radia{\c{c}}{\~a}o de 
                         onda longa incidente. ABSTRACT: This study aimed to assess the 
                         impact of surface model parameter adjustments on the Planetary 
                         Boundary Layer (PBL) when conducting high-resolution simulations 
                         in a humid tropical forest environment in the Amazon. In this 
                         highly convective and extremely complex terrain, modeling the 
                         tropical PBL remains a challenge. Incorrect or insufficient 
                         surface descriptions can lead to deficiencies in representing 
                         turbulent transfer processes between the surface and the 
                         atmosphere, directly affecting numerical weather simulations. To 
                         address this, simulations were conducted using the JULES surface 
                         model coupled with the high-resolution BRAMS atmospheric model. 
                         Integrations were carried out from the model with two nested 
                         domains, with horizontal grid spacings of 5 km and 1 km, centered 
                         on the Amazon Tall Tower Observatory (ATTO) experimental site. A 
                         land-use map with a spatial resolution of 30 meters and a 
                         topographic map derived from SRTM images with a 90-meter 
                         resolution were developed for implementation in high-resolution 
                         simulations. The study was conducted in three stages: Sensitivity 
                         tests were performed to assess the influence of refining the 
                         vegetation map for domains with spatial resolutions of 5x5 km and 
                         1x1 km, verification of the PBL parameterizations performance with 
                         grid nesting for d02, and evaluation of the effects of changes in 
                         surface characteristics. Implementing high-resolution land-use 
                         maps resulted in better correspondence between predictions and 
                         observed data, especially at the 1 km spatial resolution grid. The 
                         model yielded good results in estimating most of the analyzed 
                         variables, except for wind intensity (all levels) and incident 
                         long-wave radiation.",
            committee = "Kubota, Paulo (presidente) and Manzi, Antonio Ocimar (orientador) 
                         and von Randow, Celso and Dias Junior, Cl{\'e}o Quaresma and 
                         Moreira, Demerval Soares",
         englishtitle = "Impact on the planetary boundary layer of surface representation 
                         in high resolution simulations for a tropical forest environment 
                         in the Amazon",
             language = "pt",
                pages = "99",
                  ibi = "8JMKD3MGP3W34T/4A72F2S",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34T/4A72F2S",
           targetfile = "publicacao.pdf",
        urlaccessdate = "2024, May 06"
}


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