DOI: 10.1175/JCLI-D-16-0786.1
Scopus记录号: 2-s2.0-85021107845
论文题名: Pairwise-rotated EOFs of global SST
作者: Chen X. ; Wallace J.M. ; Tung K.-K.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 14 起始页码: 5473
结束页码: 5489
语种: 英语
Scopus关键词: Climatology
; Frequency bands
; Global warming
; Microcomputers
; Mixing
; Nanofluidics
; Oceanography
; Principal component analysis
; Rotation
; Atlantic Ocean
; ENSO
; Inter-decadal variability
; Interannual variability
; Multidecadal variability
; Pacific decadal oscillation
; Orthogonal functions
英文摘要: Empirical orthogonal function (EOF) analysis of global sea surface temperature yields modes in which interannual variability associated with ENSO and the lower-frequency variability associated with the Pacific decadal oscillation (PDO) and the Atlantic multidecadal oscillation (AMO) are confounded with one another and with the signature of global warming. The confounded EOFs exhibit overlapping centers of action with polarities of the perturbations juxtaposed such that the respective modes are mutually orthogonal in the global domain. When physical modes with different time scales appear in the same pair of EOFs, the principal component (PC) time series tend to be positively correlated in one frequency band and negatively correlated in another. Mode mixing may be a reflection of sampling variability or it may reflect the lack of spatial orthogonality of the physical modes themselves. Using sequences of pairwise orthogonal rotations of selected PCs, it is possible, without recourse to filtering, to recover a global warming mode with a bland spatial pattern and a nearly linear upward trend, along with dynamical modes, each with its own characteristic time scale, that resemble ENSO, the PDO, and the AMO. Novel elements of this analysis include a rationale for choosing the optimal angle for pairwise rotation and a simple algorithm for eliminating mode mixing between the dynamical modes and the global warming mode by transferring the linear trends from the former to the latter. © 2017 American Meteorological Society. 资助项目: NSF, National Science Foundation
; NSFC, National Natural Science Foundation of China
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48842
Appears in Collections: 气候变化与战略
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作者单位: Physical Oceanography Laboratory/CIMST, Ocean University of China, Qingdao, China; Qingdao National Laboratory of Marine Science and Technology, Qingdao, China; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Department of Applied Mathematics, University of Washington, Seattle, WA, United States
Recommended Citation:
Chen X.,Wallace J.M.,Tung K.-K.. Pairwise-rotated EOFs of global SST[J]. Journal of Climate,2017-01-01,30(14)