author = "Falck, Aline Schneider and Maggioni, Viviana and Tomasella, Javier 
                         and Vila, Daniel Alejandro and Diniz, F{\'a}bio Luiz Rodrigues",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Propagation of satellite precipitation uncertainties through a 
                         distributed hydrologic model: a case study in the 
                         Tocantins-Araguaia basin in Brazil",
              journal = "Journal of Hydrology",
                 year = "2015",
               volume = "527",
                pages = "943--957",
             keywords = "Tropical basin, Streamflow ensemble, Satellite rainfall, 
                         Uncertainties precipitation.",
             abstract = "This study investigates the applicability of error corrections to 
                         satellite-based precipitation products in streamflow simulations. 
                         A three-year time series (20082011) is considered across 19 
                         sub-basins of the TocantinsAraguaia basin (764,000 km2), located 
                         in the center-north region of Brazil. A raingauge network (24 h 
                         accumulation) of approximately 300 collection points (~1 gauge 
                         every 2500 km2) is used as reference for evaluating the following 
                         four satellite rainfall products: the Tropical Rainfall Measuring 
                         Mission real-time 3B42 product (3B42RT), the Climate Prediction 
                         Center morphing technique (CMORPH), the Global Satellite Mapping 
                         of Precipitation (GSMaP), and the NOAA Hydroestimator (HYDRO-E). 
                         Ensemble streamflow simulations, for both dry and rainy seasons, 
                         are obtained by forcing the Distributed Hydrological Model 
                         developed by the Brazilian National Institute for Space Research 
                         (MHDINPE) with the satellite rainfall products, corrected using a 
                         two-dimensional stochastic satellite rainfall error model 
                         (SREM2D). The ensemble simulations are evaluated using streamflow 
                         output derived by forcing the model with reference rainfall gauge 
                         data. SREM2D is able to correct for errors in the satellite 
                         precipitation data by pushing the modeled streamflow ensemble 
                         closer to the reference river discharge, when compared to the 
                         simulations forced with uncorrected rainfall input. Ensemble 
                         streamflow error statistics (MAE and RMSE) show a decreasing trend 
                         as a function of the catchment area for all satellite products, 
                         but the rainfall-to-streamflow error propagation does not show any 
                         dependence on the basin size.",
                  doi = "10.1016/j.jhydrol.2015.05.042",
                  url = "http://dx.doi.org/10.1016/j.jhydrol.2015.05.042",
                 issn = "0022-1694",
             language = "en",
        urlaccessdate = "26 jan. 2021"