@InProceedings{ColossiFSPFRPC:2017:VaMoHi,
               author = "Colossi, Bibiana Rodrigues and Fleischmann, Ayan Santos and 
                         Siqueira, Vin{\'{\i}}cius Alencar and Paiva, Rodrigo Cauduro 
                         Dias and Fan, Fernando Mainardi and Ruhoff, Anderson Luis and 
                         Pontes, Paulo R{\'o}genes Monteiro and Collischonn, Walter",
                title = "Valida{\c{c}}{\~a}o do modelo hidrol{\'o}gico MGB-IPH com 
                         umidade do solo da miss{\~a}o SMOS na bacia do Alto Paran{\'a}",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3347--3354",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Large scale representation of soil moisture conditions can be 
                         achieved through hydrological simulation and remote sensing 
                         techniques. However, both methodologies have several limitations, 
                         which suggests the potential benefits of using both information 
                         together. The main objective of this study is to perform a 
                         validation for the soil moisture simulated with a large scale 
                         semi-distributed hydrological model, MGB-IPH, using remotely 
                         sensed soil moisture from SMOS (Soil Moisture and Ocean Salinity) 
                         L3 product. The study aimed to analyze results in South American 
                         continent, where hydrometeorological monitoring is usually very 
                         scarce. The study was performed in Paran{\'a} River Basin, an 
                         important South American basin, whose extension and particular 
                         characteristics allow the representation of different climatic, 
                         geological, and, consequently, hydrological conditions. Soil 
                         moisture estimated with SMOS was transformed from water content to 
                         a Soil Water Index (SWI) so it is comparable to the saturation 
                         degree simulated with MGB-IPH model. Results show that this type 
                         of analysis can be very useful, because it allows to recognize 
                         limitations in both remotely sensed observations and hydrological 
                         model simulations. In the case of the hydrological model, this 
                         analysis can avoid the use of parameters out of range, in an 
                         attempt to compensate model limitations. Also, it indicates 
                         aspects of the model were efforts should be concentrated, in order 
                         to improve hydrological or hydraulics process representation.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59281",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLSPH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSPH",
           targetfile = "59281.pdf",
                 type = "Hidrologia",
        urlaccessdate = "27 abr. 2024"
}