DOI: 10.1175/JCLI-D-16-0560.1
Scopus记录号: 2-s2.0-85020012188
论文题名: Impacts of storm-track variations on wintertime extreme weather events over the continental United States
作者: Ma C.-G. ; Chang E.K.M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 12 起始页码: 4601
结束页码: 4624
语种: 英语
Scopus关键词: Atmospheric pressure
; Climate change
; Climatology
; Precipitation (meteorology)
; Singular value decomposition
; Weather information services
; Climate variability
; Extratropical cyclones
; Extreme events
; North America
; Winter/cool seasons
; Storms
; climate variation
; decomposition analysis
; El Nino-Southern Oscillation
; extratropical cyclone
; extreme event
; storm track
; winter
; Ohio Valley [Pennsylvania-Ohio]
; United States
英文摘要: Extratropical cyclones are responsible for many of the high-impact weather events over the United States, including extreme cold, extreme high wind, and extreme heavy precipitation. In this study, impacts from the variations of the cyclone (or storm-track) activity on these extreme events are examined through composites based on map-averaged cyclone activity. Increased cyclone activity enhances the frequency of extreme cold and high wind events over much of the United States, and impacts extreme precipitation around the Ohio River valley. These impacts are largely due to a changing of the tail of the distribution rather than a shifting of the mean. To systematically study these impacts, three singular value decomposition (SVD) analyses have been conducted, each one between the cyclone activity and one kind of extreme event frequency. All three SVD leading modes represent a pattern of overall increase or decrease of storm tracks over the United States. The average of the time series of these leading modes is highly correlated with the observed map-averaged storm track and strongly associated with the Pacific-North America (PNA) pattern and El Niño-Southern Oscillation (ENSO). However, composites based on either the PNA pattern or ENSO do not show as strong impacts as the map-averaged storm track. A second common SVD mode is found that correlates weakly with the North Pacific mode and is likely to be largely due to internal variability. Finally, the potential impacts of projected storm-track change on the frequency of extreme events are examined, indicating that the projected storm-track decrease over North America may give rise to some reduction in the frequency of extreme events. © 2017 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48880
Appears in Collections: 气候变化与战略
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作者单位: School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, NY, United States
Recommended Citation:
Ma C.-G.,Chang E.K.M.. Impacts of storm-track variations on wintertime extreme weather events over the continental United States[J]. Journal of Climate,2017-01-01,30(12)