Turner Sean W D, Singh Debjani, Hansen Carly, Kao Shih-Chieh
Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Sci Data. 2025 Jun 19;12(1):1040. doi: 10.1038/s41597-025-05323-y.
First published in 2022, the RectifHyd dataset provides hydrologically consistent estimates of monthly net generation for approximately 1,500 hydropower plants in the United States, addressing a gap in industrial surveys that have collected monthly generation data from only ~10% of plants post-2003. Here we present RectifHydPlus-an extended and enhanced dataset that improves on both the proxy information and temporal downscaling methodology adopted in RectifHyd. In addition to providing updated estimates of historical monthly generation for 590 plants with >10 MW nameplate capacity from 1980 through 2019, RectifHydPlus adds a hydrological control dataset that isolates the influence of historical water availability on generation. The new hydrological control dataset is suited to applications seeking to represent the capabilities of the contemporary fleet subject to historical interannual variability in climate. RectifHydPlus also includes a forty-year, daily-resolution, spill-adjusted water release time series for each dam, allowing users to aggregate generation estimates to the desired temporal resolution.
RectifHyd数据集于2022年首次发布，提供了美国约1500座水电站月度净发电量的水文一致估计值，填补了工业调查中的一个空白，该调查自2003年后仅从约10%的电厂收集月度发电量数据。在此，我们展示RectifHydPlus——一个经过扩展和增强的数据集，它改进了RectifHyd中采用的代理信息和时间降尺度方法。除了提供1980年至2019年期间590座铭牌容量大于10兆瓦的电厂历史月度发电量的更新估计值外，RectifHydPlus还增加了一个水文控制数据集，该数据集可分离历史可用水量对发电量的影响。新的水文控制数据集适用于旨在代表受历史气候年际变化影响的当代机群能力的应用。RectifHydPlus还包括每个大坝的四十年日分辨率、经溢洪调整的放水时间序列，允许用户将发电量估计值汇总到所需的时间分辨率。
