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Global Hydropower Simulation - Forecast

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doi.org2020-02-25 更新2025-01-21 收录
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https://doi.org/10.4211/hs.2b38eceeb5ba40c1a88a242e8c18fafe
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This resource contains the hydropower time series for 1,593 hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on six drivers, that is, four large scale climate drivers— El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO)—and two variables accounting for local processes—lagged inflow and soil moisture. Start exploring the data by downloading the Rdata together with the open_file.R script. You will be able to find monthly-resolution time series outputs of our simulation, including the hydropower production, storage level, and water releases for each dam.

本资源包含了在三种不同方案下运营的1,593座水电站的 hydro-power 时间序列数据——控制规则、基于完美预报的预测性操作以及基于确定性预报的预测性操作。确定性流量预报依赖于六个驱动因素,即四个大规模气候驱动因素——厄尔尼诺南方涛动(ENSO)、北大西洋涛动(NAO)、太平洋年代际振荡(PDO)和大西洋多年代际振荡(AMO)——以及两个解释局部过程的变量——滞后入流和土壤湿度。您可以通过下载 Rdata 及 open_file.R 脚本来开始探索这些数据。您将能够找到包括每座水电站的 hydro-power 生产、储存水平和放水量在内的月分辨率时间序列输出。
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