Global Hydropower Simulation - Forecast_2022

This resource contains the hydropower time series for 735 headwater 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 seven 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 three variables accounting for local processes—lagged inflow, snowfall, 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.本数据集包含735座河源区水电站大坝在三种不同运行方案下的水电时序数据——分别为常规调度规则、完美预报情景下的预报辅助调度，以及确定性预报情景下的预报辅助调度。该确定性径流预报依托七大驱动因子构建：四大尺度气候驱动因子——厄尔尼诺南方涛动（El Niño Southern Oscillation, ENSO）、北大西洋涛动（North Atlantic Oscillation, NAO）、太平洋年代际振荡（Pacific Decadal Oscillation, PDO）与大西洋多年代际振荡（Atlantic Multidecadal Oscillation, AMO），以及三类局地过程变量——滞后入流、降雪量与土壤湿度。 可通过下载配套的Rdata文件与open_file.R脚本开展数据探索，即可获取本研究模拟得到的月分辨率时序结果，涵盖各水电站大坝的发电量、蓄水水位与泄水量。