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DOI10.1007/s00382-020-05125-5
Future projections of wind patterns in California with the variable-resolution CESM: a clustering analysis approach
Wang M.; Ullrich P.; Millstein D.
发表日期2020
ISSN0930-7575
起始页码2511
结束页码2531
卷号54
英文摘要Wind energy production is expected to be affected by shifts in wind patterns that will accompany climate change. However, many questions remain on the magnitude and character of this impact, especially on regional scales. In this study, clustering is used to group and analyze large-scale wind patterns in California using model simulations from the variable-resolution Community Earth System Model (VR-CESM). Specifically, simulations have been produced that cover historical (1980–2000), mid-century (2030–2050), and end-of-century (2080–2100) time periods. Once clustered, observed changes to wind patterns can be analyzed in terms of both the change in frequency of those clusters and changes to winds within-clusters. Statistically significant capacity factors changes have been found at all five wind plant sites. Decomposition of the capacity factor changes into frequency changes and within-cluster changes enables a better understanding of their drivers. A further examination of the synoptic-scale fields associated with each cluster then provides a better understanding of how changes to large-scale meteorological fields are important for driving changes in localized wind speeds. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词Climate change; Clustering; Variable-resolution climate modeling; Wind energy
语种英语
scopus关键词climate change; climate modeling; cluster analysis; weather forecasting; wind forcing; wind power; wind velocity; California; United States
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/145582
作者单位University of California, Davis, Davis, CA 95616, United States; Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, United States
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Wang M.,Ullrich P.,Millstein D.. Future projections of wind patterns in California with the variable-resolution CESM: a clustering analysis approach[J],2020,54.
APA Wang M.,Ullrich P.,&Millstein D..(2020).Future projections of wind patterns in California with the variable-resolution CESM: a clustering analysis approach.Climate Dynamics,54.
MLA Wang M.,et al."Future projections of wind patterns in California with the variable-resolution CESM: a clustering analysis approach".Climate Dynamics 54(2020).
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