DOI: 10.1175/JCLI-D-13-00256.1
Scopus记录号: 2-s2.0-84905917185
论文题名: Reemergence mechanisms for North Pacific sea ice revealed through nonlinear Laplacian spectral analysis
作者: Bushuk M. ; Giannakis D. ; Majda A.J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 16 起始页码: 6265
结束页码: 6287
语种: 英语
Scopus关键词: Laplace transforms
; Oceanography
; Spectrum analysis
; Coupled analysis
; Data analysis techniques
; High-dimensional
; Model and observation
; North Pacific Ocean
; Pacific decadal oscillation
; Sea ice concentration
; Sea surface temperature (SST)
; Sea ice
; air-sea interaction
; algorithm
; autumn
; climate modeling
; data set
; gyre
; nonlinearity
; Pacific Decadal Oscillation
; sea ice
; sea surface temperature
; seasonal variation
; spectral analysis
; spring (season)
; summer
; temperature anomaly
; Pacific Ocean
; Pacific Ocean (North)
英文摘要: This paper studies spatiotemporal modes of variability of sea ice concentration and sea surface temperature (SST) in the North Pacific sector in a comprehensive climate model and observations. These modes are obtained via nonlinear Laplacian spectral analysis (NLSA), a recently developed data analysis technique for high-dimensional nonlinear datasets. The existing NLSA algorithm is modified to allow for a scale-invariant coupled analysis of multiple variables in different physical units. The coupled NLSA modes are utilized to investigate North Pacific sea ice reemergence: a process in which sea ice anomalies originating in the melt season (spring) are positively correlated with anomalies in the growth season (fall) despite a loss of correlation in the intervening summer months. It is found that a low-dimensional family of NLSA modes is able to reproduce the lagged correlations observed in sea ice data from the North Pacific Ocean. This mode family exists in both model output and observations and is closely related to the North Pacific gyre oscillation (NPGO), a low-frequency pattern of North Pacific SST variability. Moreover, this mode family provides a mechanism for sea ice reemergence in which summer SST anomalies store the memory of spring sea ice anomalies, allowing for sea ice anomalies of the same sign to appear in the fall season. Lagged correlations in model output and observations are significantly strengthened by conditioning on the NPGO mode being active, in either positive or negative phase. Another family of NLSA modes, related to the Pacific decadal oscillation (PDO), is found to capture a winter-to-winter reemergence of SST anomalies. © 2014 American Meteorological Society. 资助项目: NSERC, Natural Sciences and Engineering Research Council of Canada
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51374
Appears in Collections: 气候变化事实与影响
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作者单位: Courant Institute of Mathematical Sciences, New York University, New York, NY, United States
Recommended Citation:
Bushuk M.,Giannakis D.,Majda A.J.. Reemergence mechanisms for North Pacific sea ice revealed through nonlinear Laplacian spectral analysis[J]. Journal of Climate,2014-01-01,27(16)