@Article{GoncalvesSVLBHAMTRH:2009:SoAmLa,
               author = "Goncalves, Luis Gustavo G. de and Shuttleworth, William J. and 
                         Vila, Daniel and Larroza, Eliane and Bottino, Marcus Jorge and 
                         Herdies, Dirceu Luis and Aravequia, Jos{\'e} Antonio and Mattos, 
                         Joo Gerd Zell de and Toll, David L. and Rodell, Matthew and 
                         Houser, Paul",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "The South American Land Data Assimilation System (SALDAS) 5-Year 
                         retrospective atmospheric forcing datasets",
              journal = "Journal of Hydrometeorology",
                 year = "2009",
               volume = "10",
               number = "4",
                pages = "999--1010",
                month = "aug.",
             keywords = "gauge observations, precipitations, fluxes, states.",
             abstract = "The definition and derivation of a 5-year, 0.125º, 3-hourly 
                         atmospheric forcing dataset that is appropriate for use in a Land 
                         Data Assimilation System operating across South America is 
                         described. Because surface observations are limited in this 
                         region, many of the variables were taken from South American 
                         Regional Reanalysis but remotely sensed data were merged with 
                         surface observations to calculate the precipitation and downward 
                         shortwave radiation fields. The quality of this data set was 
                         evaluated against the surface observations available. There are 
                         regional difference in the biases for all variables in the 
                         dataset, with volumetric biases in precipitation of the order 0-1 
                         mm/day and RMSE of 5-15 mm/day, biases in surface solar radiation 
                         of the order 10 W/m2 and RMSE of 20 W/m2, positive biases in 
                         temperature typically between 0 and 4 K depending on region, and 
                         positive biases in specific humidity around 2-3 g/Kg in tropical 
                         regions and negative biases around 1-2 g/Kg further south.",
                  doi = "10.1175/2009JHM1049.1",
                  url = "http://dx.doi.org/10.1175/2009JHM1049.1",
                 issn = "1525-755X",
             language = "en",
           targetfile = "gon{\c{c}}alves, 2009.pdf",
        urlaccessdate = "29 jun. 2024"
}