Toward Improved Parameterizations of Reservoir Operation in Ungauged Basins: A Synergistic Framework Coupling Satellite Remote Sensing, Hydrologic Modeling, and Conceptual Operation Schemes

Assessments of water and energy security over historical future periods require hydrologic models that can accurately simulate reservoir operations. However, scare operation data limits the accuracy current representations in simulating behaviors. Furthermore, reliability these under changing inflow regimes remains unclear, which makes their application for long planning horizons questionable. To this end, we propose a synergistic framework to predict release, storage, hydropower production ungauged reservoirs (i.e., without in-situ inflow, operating rules) by combining remotely sensed patterns model-simulated with conceptual schemes within land surface-hydrologic model. A previously developed scheme is extended storage anomaly based calibration approach accommodate relatively short time series large intervals data. By setting up controlled experiments Yalong River Basin China, show remote sensing improve parameter estimation simulations all selected schemes, thereby improving downstream flood streamflow simulations. most degraded accuracies regime, could lead unreliable assessments resources production. In comparison, our newly be more adaptable flow regime variations. Our study provides practical impact predictions ongoing satellite altimetry projects such as Surface Water Ocean Topography.