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EN
The calibration of any hydrological model in any river basin is generally performed using a single hydrological variable. Spatially distributed hydrological modeling provides an opportunity to enhance the use of multi-variable calibration models. The objective of this study is to test the efciency of satellite-based actual evapotranspiration in the HBV hydrological model to render the catchment water balance using multi-variable calibration in the upper Omo-Gibe basin in Ethiopia. Five years (2000–2004) meteorological data, streamfow, and actual evapotranspiration (ETa) based on remote sensing were used for calibration and validation purposes. The performance of the HBV model and the efciency of SEBS–ETa were evaluated using certain calibration criteria (objective function). The model is frst calibrated using only streamfow data to test HBV model performance and then calibrated using a multi-variable (streamfow and ETa) dataset to evaluate the efciency of SEBS–ETa. Both model setups were validated in a multi-variable evaluation using streamfow and ETa data. In the frst case, the model performed well enough for streamfow and poor for ETa, while in the latter case, the performance efciency of SEBS–ETa and streamfow data shows satisfactory to good. This implies that the performance of hydrological models is enhanced by employing multi-variable calibration.
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