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@Article{SantosRoRaAlMaOlNe:2019:UsHyMo,
               author = "Santos, Carlos A. S. and Rocha, Felizardo A. and Ramos, Tiago B. 
                         and Alves, Lincoln Muniz and Mateus, Marcos and Oliveira, Rodrigo 
                         Proen{\c{c}}a de and Neves, Ramiro",
          affiliation = "{Instituto Federal da Bahia (IFBA)} and {Instituto Federal da 
                         Bahia (IFBA)} and {Universidade de Lisboa} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Universidade de Lisboa} and 
                         {Universidade de Lisboa} and {Universidade de Lisboa}",
                title = "Using a hydrologic model to assess the performance of regional 
                         climate models in a semi-arid Watershed in Brazil",
              journal = "Water (Switzerland)",
                 year = "2019",
               volume = "11",
               number = "1",
                pages = "e170",
                month = "jan.",
             keywords = "climate change, Paragua{\c{c}}u River Basin, semi-arid region, 
                         SWAT model, Eta-HadGEM2-ES, Eta-MIROC5, correction bias.",
             abstract = "This study assessed the impact of climate change on the 
                         hydrological regime of the Paragua{\c{c}}u river basin, 
                         northeastern Brazil. Hydrological impact simulations were 
                         conducted using the Soil and Water Assessment Tool (SWAT) for 
                         20202040. Precipitation and surface air temperature projections 
                         from two Regional Climate Models (Eta-HadGEM2-ES and Eta-MIROC5) 
                         based on IPCC5RCP 4.5 and 8.5 scenarios were used as inputs after 
                         first applying two bias correction methods (linear scalingLS and 
                         distribution mappingDM). The analysis of the impact of climate 
                         change on streamflow was done by comparing the maximum, average 
                         and reference (Q90) flows of the simulated and observed streamflow 
                         records. This study found that both methods were able to correct 
                         the climate projection bias, but the DM method showed larger 
                         distortion when applied to future scenarios. Climate projections 
                         from the Eta-HadGEM2-ES (LS) model showed significant reductions 
                         of mean monthly streamflow for all time periods under both RCP 4.5 
                         and 8.5. The Eta-MIROC5 (LS) model showed a lower reduction of the 
                         simulated mean monthly streamflow under RCP 4.5 and a decrease of 
                         streamflow under RCP 8.5, similar to the Eta-HadGEM2-ES model 
                         results. The results of this study provide information for guiding 
                         future water resource management in the Paragua{\c{c}}u River 
                         Basin and show that the bias correction algorithm also plays a 
                         significant role when assessing climate model estimates and their 
                         applicability to hydrological modelling.",
                  doi = "10.3390/w11010170",
                  url = "http://dx.doi.org/10.3390/w11010170",
                 issn = "2073-4441",
             language = "en",
           targetfile = "santos_using.pdf",
        urlaccessdate = "25 nov. 2020"
}


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