Skillful seasonal prediction of wind energy resources in the contiguous United States

A key challenge with the wind energy utilization is that winds, and thus wind power, are highly variable on seasonal to interannual timescales because of atmospheric variability. There is a growing need of skillful seasonal wind energy prediction for energy system planning and operation. Here we demonstrate model's capability in producing skillful seasonal wind energy prediction over the U.S. Great Plains during peak energy seasons (winter and spring), using seasonal prediction products from a climate model. The dominant source of that skillful prediction mainly comes from year-to-year variations of El Ni ntilde;o-Southern Oscillation in the tropical Pacific, which alters large-scale wind and storm track patterns over the United States. In the Southern Great Plains, the model can predict strong year-to-year wind energy changes with high skill multiple months in advance. Thus, this seasonal wind energy prediction capability offers potential benefits for optimizing wind energy utilization during peak energy production seasons.

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Related Dataset #1 : United States Wind Turbine Database

Related Dataset #2 : Skillful Seasonal Prediction of Wind Energy Resources in the contiguous United States

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Author Yang, X.
Delworth, T. L.
Jia, L.
Johnson, N. C.
Lu, Feiyu
McHugh, C.
Publisher UCAR/NCAR - Library
Publication Date 2024-06-11T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Resource Version N/A
Topic Category geoscientificInformation
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Metadata Date 2025-07-10T20:01:19.638191
Metadata Record Identifier edu.ucar.opensky::articles:27288
Metadata Language eng; USA
Suggested Citation Yang, X., Delworth, T. L., Jia, L., Johnson, N. C., Lu, Feiyu, McHugh, C.. (2024). Skillful seasonal prediction of wind energy resources in the contiguous United States. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7k35zwk. Accessed 02 August 2025.

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