Global Hydropower Simulation - Forecast_2022

• Main Authors: Donghoon Lee, Jia Yi Ng, Stefano Galelli, Paul Block
• Format: Dataset
• Language: unknown
• Published: 2022
• Subjects: global; climate variability; streamflow forecast; hydropower; model predictive control; Pacific; North Atlantic; North Atlantic oscillation
• Online Access: https://search.dataone.org/view/sha256:798176e68309b5b42a5c30e8467780be8d0ac00f41b3bc773b9777e1e3506b11

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.