TY  - JOUR
A1  - Dong, Ningpeng
A1  - Yang, Mingxiang
A1  - Wei, Jianhui
A1  - Arnault, Joël
A1  - Laux, Patrick
A1  - Xu, Shiqin
A1  - Wang, Hao
A1  - Yu, Zhongbo
A1  - Kunstmann, Harald
T1  - Toward Improved Parameterizations of Reservoir Operation in Ungauged Basins: A Synergistic Framework Coupling Satellite Remote Sensing, Hydrologic Modeling, and Conceptual Operation Schemes
Y1  - 2023-03-07
VL  - 59
IS  - 3
JF  - Water Resources Research
DO  - 10.1029/2022WR033026
PB  - 
N2  - Assessments of water and energy security over historical and future periods require hydrologic models that can accurately simulate reservoir operations. However, scare reservoir operation data limits the accuracy of current reservoir representations in simulating reservoir behaviors. Furthermore, the reliability of these representations under changing inflow regimes remains unclear, which makes their application for long future planning horizons questionable. To this end, we propose a synergistic framework to predict the release, storage, and hydropower production of ungauged reservoirs (i.e., reservoirs without in‐situ inflow, release, storage, and operating rules) by combining remotely sensed reservoir operating patterns and model‐simulated reservoir inflow with conceptual reservoir operation schemes within a land surface‐hydrologic model. A previously developed reservoir operation scheme is extended with a storage anomaly based calibration approach to accommodate the relatively short time series and large time intervals of remotely sensed data. By setting up controlled experiments in the Yalong River Basin in China, we show that remote sensing can improve the parameter estimation and simulations of ungauged reservoirs for all selected reservoir operation schemes, thereby improving the downstream flood and streamflow simulations. However, most of these schemes show degraded accuracies of reservoir operation simulations under a changing inflow regime, which could lead to unreliable assessments of future water resources and hydropower production. In comparison, our newly extended reservoir operation scheme can be more adaptable to flow regime variations. Our study provides a practical framework for reservoir impact assessments and predictions with the ongoing satellite altimetry projects such as Surface Water and Ocean Topography.
N2  - Key Points: Satellite remote sensing can improve the representation of ungauged reservoirs and streamflow simulations in hydrologic models. A reservoir operation scheme for ungauged reservoirs is extended and tailored to the use of remotely sensed reservoir operation data. Reservoir operation schemes with storage‐based model structures can be more reliable in reservoir simulations under a changing flow regime.
UR  - http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/11646
ER  -