Abstract
The objective of this study is to propose a new calibration procedure for a basin-scale hydrological model using satellite-derived terrestrial water storage data and observed discharge data. The analysis was conducted in a step-wise calibration method within Differential Evolution Monte Carlo Markov Chain simulation framework. In comparison with conventional calibration method, this approach efficiently reduce parameter uncertainty, model can perform good discharge simulation and reasonable water storage simulation. We also found that based on this method, our model can enhance actual and potential evapotranspiration simulation in sub-basin scale. More important, this study demonstrated the potential for the joint use of available GRACE derived water storage data and discharge data to improve main hydrological flux simulations in hydrologic models.
