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Global Hydropower Simulation - Forecast


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Owners:
Resource type: Composite Resource
Storage: The size of this resource is 424.5 MB
Created: Nov 19, 2019 at 3:25 p.m.
Last updated: Feb 25, 2020 at 3:55 p.m.
DOI: 10.4211/hs.2b38eceeb5ba40c1a88a242e8c18fafe
Citation: See how to cite this resource
Sharing Status: Published
Views: 225
Downloads: 6
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Abstract

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.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
68.8200°
East Longitude
176.8150°
South Latitude
-45.8800°
West Longitude
-125.5870°

Temporal

Start Date:
End Date:

Content

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Global Hydropower Simulation Collection Jia Yi Ng  Discoverable &  Shareable Open Access

How to Cite

Lee, D., J. Y. Ng, S. Galelli, P. Block (2020). Global Hydropower Simulation - Forecast, HydroShare, https://doi.org/10.4211/hs.2b38eceeb5ba40c1a88a242e8c18fafe

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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