气候变化领域集成服务门户(CCPortal): On the statistical nature of distinct cycles in global warming variables

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DOI	10.1007/s00382-016-3508-6
	On the statistical nature of distinct cycles in global warming variables
	Seip K.L.; Grøn Ø.
发表日期	2019
ISSN	0930-7575
起始页码	7329
结束页码	7337
卷号	52 期号:12
英文摘要	Cycle times found in many oceanic time series have been explained with references to external mechanisms that act on the systems. Here we show that when we extract cycle times from 100 sets of paired random series, we find six distinct clusters of common cycle times ranging from about 3 years to about 32 years. Cycle times, CT, get shorter when one series in a pair is an increasingly stronger leading series to the other, CT ≈ −(minus) LL-strength. This may explain the frequent finding that many global warming time series, e.g., the Southern oscillation index and the Pacific decadal oscillation, show distinct cycle times (Power spectral analysis: 3–5, 7–8, 13–15, 22–24, and 29–30 years). An important implication of these findings is that processes that strengthen the impact of one ocean variable on another may cause more frequent adverse climate conditions. © 2017, Springer-Verlag Berlin Heidelberg.
英文关键词	Interactions; Internal dynamics; Leading–lagging relations; Oceanic time series; Pacific decadal oscillation; Southern oscillation index
语种	英语
scopus关键词	air-sea interaction; cyclicity; global warming; Pacific Decadal Oscillation; Southern Oscillation; time series analysis
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146285
作者单位	Faculty of Technology, Art and Design, Oslo and Akershus University College for Applied Sciences, Pilestredet 35, Oslo, Norway
推荐引用方式 GB/T 7714	Seip K.L.,Grøn Ø.. On the statistical nature of distinct cycles in global warming variables[J],2019,52(12).
APA	Seip K.L.,&Grøn Ø..(2019).On the statistical nature of distinct cycles in global warming variables.Climate Dynamics,52(12).
MLA	Seip K.L.,et al."On the statistical nature of distinct cycles in global warming variables".Climate Dynamics 52.12(2019).