@Article{GomesSaCoChVeLy:2022:InScEn,
               author = "Gomes, Weslley de Brito and Satyamurty, Prakki and Correia, 
                         Francis Wagner Silva and Chou, Sin Chan and Vergasta, Leonardo 
                         Alves and Lyra, Andr{\'e} de Arruda",
          affiliation = "{Universidade do Estado do Amazonas (UEA)} and {Universidade do 
                         Estado do Amazonas (UEA)} and {Universidade do Estado do Amazonas 
                         (UEA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade do Estado do Amazonas (UEA)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                title = "Intraseasonal scale ensemble forecasts of precipitation and 
                         evapotranspiration for the Madeira River basin using different 
                         physical parameterizations",
              journal = "Atmospheric Research",
                 year = "2022",
               volume = "270",
                pages = "e106086",
                month = "June",
             keywords = "Bias correction, Downscaling, Ensemble intra-seasonal prediction, 
                         Eta regional model, Madeira River basin.",
             abstract = "Eta Regional Model of CPTEC-INPE is used to obtain intraseasonal 
                         (30-day) 8-member ensemble forecasts over the Madeira River basin 
                         for the period 20022012. The initial and boundary conditions are 
                         taken from Atmospheric General Circulation Global Model in six 
                         members and from Global Coupled Ocean-Atmosphere Model in two 
                         members. The intraseasonal forecasts produced by dynamic 
                         downscaling with Eta Regional model ensemble have satisfactory 
                         skill. The skill of the ensemble mean is better than the 
                         individual members up to 15-days lead time forecasts. The ensemble 
                         mean reproduces the seasonal cycle and spatial distribution of the 
                         hydrological variables. Members with the relaxation technique of 
                         Betts-Miller-Janjic produced better results. The forecasts by the 
                         members that used Kain-Fritsch scheme presented larger deviations 
                         from observations. Substantial improvements in skill are obtained 
                         through bias correction. This is the first work to attempt dynamic 
                         downscaling over the Madeira Basin in the intraseasonal time scale 
                         for a period of 10 years. The ensemble downscaled products have 
                         potential to be fed into surface hydrological models for 
                         forecasting droughts and floods and related hydrological variables 
                         over the basin.",
                  doi = "10.1016/j.atmosres.2022.106086",
                  url = "http://dx.doi.org/10.1016/j.atmosres.2022.106086",
                 issn = "0169-8095",
             language = "en",
           targetfile = "Intraseasonal scale ensemble forecasts of precipitation and 
                         evapotranspiration for the Madeira River basin using different 
                         physical parameterizations.pdf",
        urlaccessdate = "25 jun. 2024"
}