Global Hydropower Simulation - Forecast

• Main Authors: Donghoon Lee, Jia Yi Ng, Stefano Galelli, Paul Block
• Format: Dataset
• Language: unknown
• Published: 2020
• Subjects: model predictive control; streamflow forecast; hydropower; climate variability; global; Pacific; North Atlantic; North Atlantic oscillation
• Online Access: https://search.dataone.org/view/sha256:89b4c3a6b9a46d648cf589e5800c87664c833d84b477b1b43496e00e6306b1a6

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.