DOI: 10.1175/JCLI-D-14-00322.1
Scopus记录号: 2-s2.0-84922978583
论文题名: Temporal and spatial variability of wind resources in the United States as derived from the climate forecast system reanalysis
作者: Yu L. ; Zhong S. ; Bian X. ; Heilman W.E.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 3 起始页码: 1166
结束页码: 1183
语种: 英语
Scopus关键词: Atmospheric pressure
; Nickel
; Sea level
; Wind
; Wind power
; Wind turbines
; Arctic oscillations
; Mean sea level pressures
; North Atlantic oscillations
; Pacific decadal oscillation
; Southern oscillation
; Spatial and temporal variability
; Spatial variability
; Temporal and spatial variability
; Climatology
; El Nino-Southern Oscillation
; forecasting method
; jet stream
; North Atlantic Oscillation
; Pacific Decadal Oscillation
; spatial variation
; teleconnection
; temporal variation
; wind velocity
; Great Plains
; Intermountain West
; Midwest
; United States
英文摘要: This study examines the spatial and temporal variability of wind speed at 80m above ground (the average hub height of most modern wind turbines) in the contiguous United States using Climate Forecast System Reanalysis (CFSR) data from 1979 to 2011. The mean 80-m wind exhibits strong seasonality and large spatial variability, with higher (lower) wind speeds in the winter (summer), and higher (lower) speeds over much of the Midwest and U.S. Northeast (U.S. West and Southeast). Trends are also variable spatially, with more upward trends in areas of the Great Plains and Intermountain West of the United States and more downward trends elsewhere. The leading EOF mode, which accounts for 20% (summer) to 33% (winter) of the total variance and represents in-phase variations across the United States, responds mainly to the North Atlantic Oscillation (NAO) in summer and El Niño-Southern Oscillation (ENSO) in the other seasons. The dominant variation pattern can be explained by a southerly/southwesterly (westerly) anomaly over the U.S. East (U.S. West) as a result of the anomalous mean sea level pressure (MSLP) pattern. The second EOF mode, which explains about 15% of the total variance and shows a seesaw pattern, is mainly related to the springtime Arctic Oscillation (AO), the summertime recurrent circumglobal teleconnection (CGT), the autumn Pacific decadal oscillation (PDO), and the winter El Niño Modoki. The anomalous jet stream and MSLP patterns associated with these indices are responsible for the wind variation. © 2015 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50890
Appears in Collections: 气候变化事实与影响
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作者单位: Applied Hydrometeorological Research Institute, Nanjing University of Information Science and Technology, Nanjing, China; Department of Geography, Center for Global Change and Earth Observations, Michigan State University, 673 Auditorium Rd, East Lansing, MI, United States; Northern Research Station, USDA Forest Service, Lansing, MI, United States
Recommended Citation:
Yu L.,Zhong S.,Bian X.,et al. Temporal and spatial variability of wind resources in the United States as derived from the climate forecast system reanalysis[J]. Journal of Climate,2015-01-01,28(3)