globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-016-3508-6
WOS记录号: WOS:000469017000013
论文题名:
On the statistical nature of distinct cycles in global warming variables
作者: Seip, Knut Lehre; Gron, Oyvind
通讯作者: Seip, Knut Lehre
刊名: CLIMATE DYNAMICS
ISSN: 0930-7575
EISSN: 1432-0894
出版年: 2019
卷: 52, 期:12, 页码:7329-7337
语种: 英语
英文关键词: Oceanic time series ; Southern oscillation index ; Pacific decadal oscillation ; Interactions ; Leading-lagging relations ; Internal dynamics
WOS关键词: CLIMATE VARIABILITY ; ENSO ; TEMPERATURE ; FREQUENCY
WOS学科分类: Meteorology & Atmospheric Sciences
WOS研究方向: Meteorology & Atmospheric Sciences
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 approximate to-(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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/140036
Appears in Collections:过去全球变化的重建

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作者单位: Oslo & Akershus Univ Coll Appl Sci, Fac Technol Art & Design, Pilestredet 35, Oslo, Norway

Recommended Citation:
Seip, Knut Lehre,Gron, Oyvind. On the statistical nature of distinct cycles in global warming variables[J]. CLIMATE DYNAMICS,2019-01-01,52(12):7329-7337
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