@Article{OliveiraABCVMTSCS:2023:HyMoPe,
               author = "Oliveira, Concei{\c{c}}{\~a}o de M. M. de and Alvarenga, Livia 
                         A. and Beskow, Samuel and Cunha, Zandra Almeida da and Vargas, 
                         Marcelle Martins and Melo, P{\^a}mela A. and Tomasella, Javier 
                         and Santos, Ana Carolina N. and Carvalho, Vin{\'{\i}}cius S. O. 
                         and Silva, Vin{\'{\i}}cius Oliveira",
          affiliation = "{Universidade Federal de Lavras (UFLA)} and {Universidade Federal 
                         de Lavras (UFLA)} and {Universidade Federal de Pelotas (UFPel)} 
                         and {Universidade Federal de Pelotas (UFPel)} and {Universidade 
                         Federal de Pelotas (UFPel)} and {Universidade Federal de Lavras 
                         (UFLA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Itajub{\'a} (UNIFEI)} and {Universidade 
                         Federal de Lavras (UFLA)}",
                title = "Hydrological Model Performance in the Verde River Basin, Minas 
                         Gerais, Brazil",
              journal = "Resources",
                 year = "2023",
               volume = "12",
               number = "8",
                pages = "e87",
                month = "Aug.",
             keywords = "hydrological models, LASH, MHD-INPE, performance, VIC.",
             abstract = "In hydrological modelling, it is important to consider the 
                         uncertainties related to a models structures and parameters when 
                         different hydrological models are used to represent a system. 
                         Therefore, an adequate analysis of daily discharge forecasts that 
                         takes into account the performance of hydrological models can 
                         assist in identifying the best extreme discharge forecasts. In 
                         this context, this study aims to evaluate the performance of three 
                         hydrological modelsLavras Simulation of Hydrology (LASH), Variable 
                         Infiltration Capacity (VIC), and Distributed Hydrological Model 
                         (MHD-INPE) in the Verde River basin. The results demonstrate that 
                         LASH and MHD can accurately simulate discharges, thereby 
                         establishing them as crucial tools for managing water resources in 
                         the study regions basins. Moreover, these findings could serve as 
                         a cornerstone for future studies focusing on food and water 
                         security, particularly when examining their connection to climate 
                         change scenarios.",
                  doi = "10.3390/resources12080087",
                  url = "http://dx.doi.org/10.3390/resources12080087",
                 issn = "2079-9276",
             language = "en",
           targetfile = "resources-12-00087-v2.pdf",
        urlaccessdate = "29 jun. 2024"
}