Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data

Li Tang, Xiaohui Sun () and Shuyuan Xu
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Li Tang: Taiyuan University of Technology
Xiaohui Sun: Taiyuan University of Technology
Shuyuan Xu: Shanxi Institute of Energy

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2025, vol. 39, issue 7, No 25, 3467-3482

Abstract: Abstract Accurate parameter estimation of reservoir operation models is crucial for effective reservoir management but is hampered by limited in situ data for calibration. Here, we show that satellite altimetry can be effectively used to estimate model parameters and improve reservoir operation modelling. Specifically, we enhance the target storage parameter estimate of a reservoir model using altimetry-derived seasonal patterns. Four case study reservoirs were analysed to assess reservoir storage and outflow simulations. The satellite-derived water levels agree well with the observations, despite minor biases during low-water periods. The reservoir model with satellite-derived parameters outperforms the default model, with improvements in Nash–Sutcliffe efficiency and Kling–Gupta efficiency ranging from 0.02 to 0.3. An analysis of the model sensitivity reveals that the simulation accuracy strongly depends on the inflow data quality, whereas the optimal initial storage values vary across reservoirs. Our findings demonstrate that integrating satellite altimetry data can substantially improve reservoir operation modelling, offering a promising solution for regions with limited ground observations.

Keywords: Reservoir modelling; Satellite altimetry; Hydrological; Simulations (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11269-025-04115-8

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