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This paper presents a methodology for real-time streamflow forecasting based on a distributed hydrological model, using data of observed rainfall measured at raingauges and rainfall forecast by the ETA model running at the Weather Forecasting Center of the National Institute for Space Research. State variables of the hydrological model are updated according to a scheme which uses observed streamflow data that would be available in a operational application. The methodology was tested in the Paranaiba river basin, along the reach between Itumbiara and Sao Simao hydroelectric power plants. Results show that the addition of quantitative rainfall forecasts may lead to a significant reduction in operational streamflow forecasting errors in this basin. Key-words: distributed hydrological model, streamflow forecasting, rainfall forecasting.

Modelo Hidrológico Distribuído para Previsão de Vazões Incrementais na Bacia do Rio Paranaíba entre Itumbiara e São Simão