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@PhDThesis{Ávila:2023:InFoRa,
               author = "{\'A}vila, {\'A}lvaro Vasconcellos Araujo de",
                title = "Influ{\^e}ncia das for{\c{c}}antes de radia{\c{c}}{\~a}o e 
                         precipita{\c{c}}{\~a}o na simula{\c{c}}{\~a}o do 
                         balan{\c{c}}o de energia sobre diferentes condi{\c{c}}{\~o}es 
                         de superf{\'{\i}}cie na Am{\'e}rica do Sul",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2023",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2023-06-26",
             keywords = "modelagem de superf{\'{\i}}cie, balan{\c{c}}o de energia, 
                         precipita{\c{c}}{\~a}o, radia{\c{c}}{\~a}o, surface modeling, 
                         precipitation, radiation, energy balance.",
             abstract = "Esta tese de doutorado teve como objetivo analisar as componentes 
                         do balan{\c{c}}o de energia sobre a Am{\'e}rica do Sul, com 
                         {\^e}nfase na radia{\c{c}}{\~a}o l{\'{\i}}quida, fluxo de 
                         calor sens{\'{\i}}vel, fluxo de calor latente e fluxo de calor 
                         no solo. Para isso, foram utilizadas as vari{\'a}veis de 
                         precipita{\c{c}}{\~a}o do MERGE/CPTEC e radia{\c{c}}{\~a}o de 
                         onda curta descendente do CERES para inicializar modelos de 
                         superf{\'{\i}}cie (Noah-MP, CLSM e IBIS) e configurar o sistema 
                         de assimila{\c{c}}{\~a}o de dados terrestres da Am{\'e}rica do 
                         Sul (SALDAS-2). Foram realizadas simula{\c{c}}{\~o}es de 20 anos 
                         para toda a regi{\~a}o da Am{\'e}rica do Sul, com um intervalo 
                         de tempo de 5 anos. Foram conduzidas an{\'a}lises pontuais 
                         comparando os modelos Noah-MP, CLSM e IBIS do SALDAS-2 com os 
                         modelos Noah-MP e CLSM do sistema global de 
                         assimila{\c{c}}{\~a}o de dados terrestres (usado como dados de 
                         refer{\^e}ncia mundialmente), utilizando torres de fluxo 
                         instaladas nos biomas da Amaz{\^o}nia, Cerrado e Pampa. Para essa 
                         an{\'a}lise pontual, foram utilizados m{\'e}todos 
                         estat{\'{\i}}sticos de avalia{\c{c}}{\~a}o de erros, como 
                         RMSE, MBE e R2. Adicionalmente, foram realizadas an{\'a}lises 
                         espaciais com o modelo que obteve melhor desempenho na 
                         compara{\c{c}}{\~a}o espacial do SALDAS-2 (Noah-MP). Essas 
                         an{\'a}lises foram utilizadas para observar as anomalias das 
                         vari{\'a}veis do balan{\c{c}}o de energia sobre as regi{\~o}es 
                         da Am{\'e}rica do Sul durante os ver{\~o}es e invernos de El 
                         Niņo e La Niņa. O m{\'e}todo estat{\'{\i}}stico do EOF foi 
                         empregado para identificar padr{\~o}es na amostra de dados 
                         espaciais. Os resultados da an{\'a}lise pontual revelaram que o 
                         modelo CLSM tende a superestimar o fluxo latente, mesmo com a 
                         inclus{\~a}o de vari{\'a}veis de precipita{\c{c}}{\~a}o e 
                         radia{\c{c}}{\~a}o mais pr{\'o}ximas das 
                         observa{\c{c}}{\~o}es. Al{\'e}m disso, verificou-se que a 
                         umidade, radia{\c{c}}{\~a}o e vegeta{\c{c}}{\~a}o da 
                         Am{\'e}rica do Sul desempenham um papel crucial nas estimativas 
                         espaciais do balan{\c{c}}o de energia pelo modelo, destacando a 
                         necessidade de estudos adicionais para compreender o papel de cada 
                         fator na composi{\c{c}}{\~a}o do balan{\c{c}}o. Em termos das 
                         an{\'a}lises espaciais realizadas pelo modelo Noah-MP para os 
                         biomas brasileiros, este trabalho demonstrou que a 
                         radia{\c{c}}{\~a}o {\'e} o principal mecanismo para a 
                         evapotranspira{\c{c}}{\~a}o na regi{\~a}o da Amaz{\^o}nia, e 
                         que as condi{\c{c}}{\~o}es de vegeta{\c{c}}{\~a}o do modelo de 
                         superf{\'{\i}}cie s{\~a}o um dos fatores fundamentais para o 
                         particionamento das componentes do balan{\c{c}}o de energia. 
                         ABSTRACT: This doctoral thesis aimed to analyze the components of 
                         the energy balance over South America, with emphasis on net 
                         radiation, sensible heat flux, latent heat flux, and soil heat 
                         flux. To achieve this, precipitation data from MERGE/CPTEC and 
                         downward shortwave radiation from CERES were used to initialize 
                         surface models (Noah-MP, CLSM, and IBIS) and configure the South 
                         America Land Data Assimilation System (SALDAS-2). Simulations were 
                         conducted for a 20-year period covering the entire South American 
                         region, with a 5-year time step. Pointwise analyses were performed 
                         by comparing the SALDAS-2 models (Noah-MP, CLSM, and IBIS) with 
                         the Noah-MP and CLSM models from the global land data assimilation 
                         system (used as worldwide reference data). This comparison 
                         utilized flux towers installed in the Amazon, Cerrado, and Pampa 
                         biomes. Statistical error evaluation methods such as RMSE, MBE, 
                         and R2 were employed for this pointwise analysis. Additionally, 
                         spatial analyses were carried out using the model that performed 
                         best in the SALDAS-2 spatial comparison (Noah-MP). These analyses 
                         aimed to observe anomalies in the energy balance variables over 
                         South American regions during El Niņo and La Niņa summers and 
                         winters. The statistical method of EOF was employed to identify 
                         patterns in the spatial data sample. The results of the pointwise 
                         analysis revealed that the CLSM model tends to overestimate latent 
                         heat flux, even with the inclusion of precipitation and radiation 
                         variables that were closer to the observations. Furthermore, it 
                         was found that humidity, radiation, and vegetation in South 
                         America play a crucial role in the spatial estimates of the energy 
                         balance by the model, highlighting the need for further studies to 
                         understand the specific role of each factor in the composition of 
                         the balance. Overall, this study provides valuable insights into 
                         the energy balance components over South America. The use of 
                         regional forcings and the evaluation of different surface models 
                         contribute to improving our understanding of the complex climate 
                         processes in the region. These findings have implications for 
                         climate research, regional climate modeling, and decision-making 
                         processes related to land use, natural resource management, and 
                         climate change mitigation and adaptation strategies. In terms of 
                         the spatial analyses carried out by the Noah-MP model for 
                         Brazilian biomes, this study demonstrated that radiation is the 
                         primary mechanism for evapotranspiration in the Amazon region, and 
                         that the vegetation conditions of the surface model are one of the 
                         fundamental factors in the partitioning of energy balance 
                         components.",
            committee = "Herdies, Dirceu (presidente) and Gon{\c{c}}alves, Luis Gustavo 
                         Gon{\c{c}}alves de (orientador) and Ruhoff, Anderson Luis 
                         (orientador) and Coelho, Simone Sievert da Costa and Roberti, 
                         D{\'e}bora Regina and Quadro, M{\'a}rio Francisco Leal",
         englishtitle = "Influence of radiation and precipitation forcings on the energy 
                         balance simulation under different surface conditions in South 
                         America",
             language = "pt",
                pages = "196",
                  ibi = "8JMKD3MGP3W34T/49ELSF2",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34T/49ELSF2",
           targetfile = "publicacao.pdf",
        urlaccessdate = "20 maio 2024"
}


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