@Article{MeloAlToSaMeCo:2022:PeCoPh,
               author = "Melo, P{\^a}mela A. and Alvarenga, Livia Alves and Tomasella, 
                         Javier and Santos, Ana Carolina N. and Mello, Carlos R. and 
                         Colombo, Alberto",
          affiliation = "{Universidade Federal de Lavras (UFLA)} and {Universidade Federal 
                         de Lavras (UFLA)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Centro Nacional de Monitoramento e Alertas de 
                         Desastres Naturais (CEMADEN)} and {Universidade Federal de Lavras 
                         (UFLA)} and {Universidade Federal de Lavras (UFLA)}",
                title = "On the performance of conceptual and physically based modelling 
                         approach to simulate a headwater catchment in Brazil",
              journal = "Journal of South American Earth Sciences",
                 year = "2022",
               volume = "114",
                pages = "e103683",
                month = "Mar.",
             keywords = "Evapotranspiration, Hydrology, Lumped model, Streamflow 
                         simulation.",
             abstract = "Conceptual large-scale distributed hydrological models (e.g. 
                         MHD-INPE) were developed to not only be used with limited 
                         available data but also to match the scale of atmospheric models. 
                         However, it is unknown if it can be representative for small 
                         watersheds in rural mountainous regions, which are crucial not 
                         only for agriculture, but also for water supply for several uses. 
                         Therefore, the objective of this study is to assess MHD-INPE 
                         performance in a headwater catchment with complex terrain 
                         alongside to a distributed physically based model (DHSVM). The 
                         Lavrinha Watershed (LW) has a drainage area of 6.7 km2, being 63% 
                         of the catchment occupied by native vegetation (Atlantic 
                         Rainforest), while the remaining area is mainly occupied by 
                         pasture for livestock farming. MHD-INPE and DHSVM were applied 
                         using a soil moisture zone map derived from the height above the 
                         nearest drainage (HAND) algorithm. The runoff simulated by the 
                         MHD-INPE better fits the observed data, with a validation 
                         Nash-Sutcliffe efficiency (NSE) of 0.70 for the daily scale, 
                         compared to a 0.55 in DHSVM. In the evapotranspiration simulation, 
                         both models showed similar trends, being 49% of the precipitation 
                         in the MHD-INPE and 46% in the DHSVM, while the observed value was 
                         49%. For the baseflow, the MHD-INPE fitted better to the observed 
                         streamflow, whereas the DHSVM underestimated it during the dry 
                         season. Thus MHD-INPE was able to accurately simulate the 
                         streamflow in a mountainous headwater catchment in southeast 
                         Brazil, despite its large spatial scale.",
                  doi = "10.1016/j.jsames.2021.103683",
                  url = "http://dx.doi.org/10.1016/j.jsames.2021.103683",
                 issn = "0895-9811",
             language = "en",
           targetfile = "Melo_performance_2022.pdf",
        urlaccessdate = "29 jun. 2024"
}