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|Storage:||The size of this resource is 285.9 MB|
|Created:||Dec 22, 2020 at 2:03 a.m.|
|Last updated:|| May 31, 2022 at 1:27 a.m.
|Citation:||See how to cite this resource|
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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.
|This resource is referenced by||Lee, D., Ng, J. Y., Galelli, S., & Block, P. (2022). Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis. Hydrology and Earth System Sciences, 26(9), 2431-2448.|
|Title||Owners||Sharing Status||My Permission|
|Global Hydropower Simulation Collection||Jia Yi Ng||Discoverable & Shareable||Open Access|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
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