C+GDROM Pre-calibrated Reservoir Parameters for 1,758 U.S. Reservoirs

Reservoirs play a critical role in regulating streamflow and water availability, yet their operations remain poorly represented in large-scale hydrological models due to limited access to long-term in-situ data and the complexity of real-world management practices. C+GDROM, a hybrid empirical–conceptual model for daily reservoir operation simulation, is developed to address these challenges by reducing data requirements while improving compatibility with hydrological models. To support C+GDROM applications, this dataset provides pre-calibrated parameters for implementing the C+GDROM across 1,758 reservoirs in the United States. For each reservoir, the dataset provides the parameters defining the conceptual storage regulation curve, which captures typical seasonal storage dynamics and serves as a key input for C+GDROM. In addition, we provide reservoir capacity features to ensure physically meaningful storage variations. This dataset is derived from the GDROM v2 reservoir dataset, with reservoirs selected based on data availability (≥5 years of records after 1990) and sufficient seasonal storage variability.水库在调控径流与水资源供给方面发挥着关键作用，但受限于长期原位观测数据（in-situ data）获取难度较大，且实际水库管理实践复杂度较高，大型水文模型对水库运行过程的表征效果仍欠佳。为破解上述难题，本研究开发了C+GDROM——一款面向日水库运行模拟的混合经验-概念模型，通过降低数据需求、提升与水文模型的兼容性来实现优化。为支撑C+GDROM的应用落地，本数据集为美国境内1758座水库的C+GDROM运行提供了预校准参数。针对每一座水库，数据集均提供了定义概念性蓄水调节曲线的参数，该曲线可刻画典型的季节蓄水动态，是C+GDROM运行的核心输入项。此外，数据集还配套提供了水库库容特征参数，以确保蓄水变化具备物理意义上的合理性。本数据集源自GDROM v2水库数据集，水库筛选标准为数据可用性达标（1990年后拥有至少5年观测记录）且具备足够显著的季节蓄水变异性。