@InProceedings{SilvaGetiRotuGonē:2019:BaHķEv,
               author = "Silva, Luiz Filippe Costa da and Getirana, Augusto and Rotunno 
                         Filho, Otto Corr{\^e}a and Gon{\c{c}}alves, Lu{\'{\i}}s 
                         Gustavo Gon{\c{c}}alves de",
          affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and Hydrological 
                         Sciences Laboratory, NASA Goddard Space Flight Center and 
                         {Universidade Federal do Rio de Janeiro (UFRJ)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Balan{\c{c}}o h{\'{\i}}drico e eventos extremos na Am{\'e}rica 
                         do Sul mediante acoplamento entre modelo de escoamento Hymap e 
                         modelos de superf{\'{\i}}cie NOAH-MP e CLSM",
            booktitle = "Anais...",
                 year = "2019",
         organization = "Simp{\'o}sio Brasileiro de Recursos H{\'{\i}}dricos, 23.",
            publisher = "ABRHidro",
             keywords = "Balan{\c{c}}o h{\'{\i}}drico continental, Modelagem 
                         hidrol{\'o}gica, Am{\'e}rica do Sul.",
             abstract = "O presente trabalho prop{\~o}e-se a avaliar a estimativa do 
                         balan{\c{c}}o h{\'{\i}}drico continental na Am{\'e}rica do Sul 
                         simulado pelos modelos de superf{\'{\i}}cie Noah-MP e CLSM 
                         acoplados ao modelo de escoamento HyMAP, com especial 
                         aten{\c{c}}{\~a}o aos eventos extremos de secas e 
                         inunda{\c{c}}{\~o}es. Para atingir o objetivo concebido, foram 
                         analisadas s{\'e}ries simuladas e observadas de vaz{\~a}o e de 
                         armazenamento de {\'a}gua nos continentes com base em tr{\^e}s 
                         (3) testes estat{\'{\i}}sticos, a saber: raiz do erro 
                         quadr{\'a}tico m{\'e}dio (RMSE), coeficiente de Nash-Sutcliffe 
                         (NS) e coeficiente de Kling-Gupta (KGE). Mais especificamente, 
                         foram empregadas, como refer{\^e}ncia, observa{\c{c}}{\~o}es 
                         di{\'a}rias de vaz{\~a}o mantidas pelo Ground Runoff Data Center 
                         (GRDC) e estimativas mensais de armazenamento de {\'a}gua da 
                         miss{\~a}o Gravity Recovery and Climate Experiment (GRACE) da 
                         NASA. Os resultados apontam que a simula{\c{c}}{\~o}es de 
                         balan{\c{c}}o h{\'{\i}}drico t{\^e}m boa representatividade 
                         nas grandes bacias da Am{\'e}rica do Sul, principalmente na bacia 
                         do rio Parna{\'{\i}}ba. Com rela{\c{c}}{\~a}o {\`a}s 
                         vaz{\~o}es estimadas pelo modelo hidrol{\'o}gico, h{\'a} uma 
                         dificuldade maior de representa{\c{c}}{\~a}o dos postos da 
                         Am{\'e}rica do Sul, com os melhores resultados sendo encontrados 
                         na regi{\~a}o Amaz{\^o}nica. Os resultados apresentados, neste 
                         trabalho, servir{\~a}o de refer{\^e}ncia para a segunda fase do 
                         Sistema de Assimila{\c{c}}{\~a}o de Dados de Superf{\'{\i}}cie 
                         Continental para a Am{\'e}rica do Sul (South America Land Data 
                         Assimilation System - SALDAS-2). ABSTRACT: This work intends to 
                         evaluate the continental water balance in South America simulated 
                         by the Noah-MP and CLSM surface models coupled to the HyMAP flow 
                         model. To fulfill such objective, streamflow and terrestrial water 
                         storage (TWS) simulations were evaluated against observed datasets 
                         using three (3) statistical tests as follows: the root mean square 
                         error (RMSE), the Nash-Sutcliffe coefficient (NS) and the 
                         Kling-Gupta (KGE) coefficient. More specifically, daily streamflow 
                         observations maintained by the Ground Runoff Data Center (GRDC) 
                         and monthly TWS estimates derived from the NASA's Gravity Recovery 
                         and Climate Experiment (GRACE) mission were used as reference. The 
                         results indicate that the water balance simulations have a good 
                         representation over large South American river basins, in 
                         particular, in the Parna{\'{\i}}ba River basin. Regarding the 
                         streamflow simulations, there is a greater difficulty in 
                         representing the stations in South America, with the best 
                         performance found in the Amazon region. The results presented in 
                         this paper will serve as benchmark for the second phase of the 
                         South America Land Data Assimilation System (SALDAS-2).",
  conference-location = "Foz do Igua{\c{c}}u, PR",
      conference-year = "24-28 nov.",
                 issn = "2318-0358",
                label = "lattes: 6196822288163271 1 CassalhoRennSilv:2019:AVPRPR",
             language = "pt",
           targetfile = "silva_balanco.pdf",
        urlaccessdate = "26 abr. 2024"
}