DOI: 10.1175/JCLI-D-16-0176.1
Scopus记录号: 2-s2.0-85021117604
论文题名: Indo-pacific variability on seasonal to multidecadal time scales. Part I: Intrinsic SST modes in models and observations
作者: Slawinska J. ; Giannakis D.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 14 起始页码: 5265
结束页码: 5294
语种: 英语
Scopus关键词: Climatology
; Pattern recognition
; Spectrum analysis
; Time measurement
; Climate variability
; Inter-decadal variability
; Interannual variability
; Pattern detection
; Spectral analysis/models/distribution
; Tropical variability
; Oceanography
英文摘要: The variability of Indo-Pacific SST on seasonal to multidecadal time scales is investigated using a recently introduced technique called nonlinear Laplacian spectral analysis (NLSA). Through this technique, drawbacks associated with ad hoc prefiltering of the input data are avoided, enabling recovery of low-frequency and intermittent modes not previously accessible via classical approaches. Here, a multiscale hierarchy of spatiotemporal modes is identified for Indo-Pacific SST in millennial control runs of CCSM4 and GFDL CM3 and in HadISST data. On interannual time scales, a mode with spatiotemporal patterns corresponding to the fundamental component of ENSO emerges, along with ENSO-modulated annual modes consistent with combination mode theory. The ENSO combination modes also feature prominent activity in the Indian Ocean, explaining a significant fraction of the SST variance in regions associated with the Indian Ocean dipole and suggesting a deterministic relationship between these patterns. A pattern representing the tropospheric biennial oscillation also emerges along with its associated annual cycle combination modes. On multidecadal time scales, the dominant NLSA mode in the model data is predominantly active in the western tropical Pacific; this pattern is referred to here as the west Pacific multidecadal mode (WPMM). The interdecadal Pacific oscillation also emerges as a distinct NLSA mode, though with smaller explained variance than the WPMM. Analogous modes on interannual and decadal time scales are also identified in HadISST data for the industrial era, as well as in model data of comparable time span, though decadal modes are either absent or of degraded quality in these datasets. © 2017 American Meteorological Society. 资助项目: NSF, National Science Foundation
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48869
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Center for Environmental Prediction, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States; Center for Atmosphere Ocean Science, Courant Institute of Mathematical Sciences, New York University, New York, NY, United States
Recommended Citation:
Slawinska J.,Giannakis D.. Indo-pacific variability on seasonal to multidecadal time scales. Part I: Intrinsic SST modes in models and observations[J]. Journal of Climate,2017-01-01,30(14)