Publicações

The performance of hydrological forecast models depends on the reliability and availability of real-time precipitation data. Due to its high spatialtemporal resolution, the availability of radar precipitation estimates is an option as an additional tool for monitoring and as input of hydrological forecast models. However, radar rainfall estimates have errors associated, for example: echoes from the local topography, conversion of reflectivity in precipitation rate (e.g., Z-R relationship), among others. In this context, we evaluated the use of radar ensemble precipitation estimates generated through the errors associated with its measure, and as a tool in streamflow simulation. To achieve this goal, we calibrated the MHD-INPE hydrological model using raingauge data over upper Iguaçu Basin in Brazil. Then we used the Two Dimensional Satellite Rainfall Error Model (SREM2D), developed by Hossain and Anagnastou (2006), to simulate the error propagation of the radar precipitation estimation. This model quantified the error in space, time, and magnitude.