globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0153774
论文题名:
Long-Range Correlations of Global Sea Surface Temperature
作者: Lei Jiang; Xia Zhao; Lu Wang
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-4-21
卷: 11, 期:4
英文关键词: Latitude ; Geographic distribution ; Southern Hemisphere ; Oceans ; Ocean temperature ; Surface temperature ; Northern Hemisphere ; Behavior
英文摘要: Scaling behaviors of the global monthly sea surface temperature (SST) derived from 1870–2009 average monthly data sets of Hadley Centre Sea Ice and SST (HadISST) are investigated employing detrended fluctuation analysis (DFA). The global SST fluctuations are found to be strong positively long-range correlated at all pertinent time-intervals. The value of scaling exponent is larger in the tropics than those in the intermediate latitudes of the northern and southern hemispheres. DFA leads to the scaling exponent α = 0.87 over the globe (60°S~60°N), northern hemisphere (0°N~60°N), and southern hemisphere (0°S~60°S), α = 0.84 over the intermediate latitude of southern hemisphere (30°S~60°S), α = 0.81 over the intermediate latitude of northern hemisphere (30°N~60°N) and α = 0.90 over the tropics 30°S~30°N [fluctuation F(s) ~ sα], which the fluctuations of monthly SST anomaly display long-term correlated behaviors. Furthermore, the larger the standard deviation is, the smaller long-range correlations (LRCs) of SST in the corresponding regions, especially in three distinct upwelling areas. After the standard deviation is taken into account, an index χ = α * σ is introduced to obtain the spatial distributions of χ. There exists an obvious change of global SST in central east and northern Pacific and the northwest Atlantic. This may be as a clue on predictability of climate and ocean variabilities.
URL: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0153774
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/14623
Appears in Collections:过去全球变化的重建
科学计划与规划
全球变化的国际研究计划
影响、适应和脆弱性
气候变化与战略
气候减缓与适应
气候变化事实与影响

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作者单位: School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China

Recommended Citation:
Lei Jiang,Xia Zhao,Lu Wang. Long-Range Correlations of Global Sea Surface Temperature[J]. PLOS ONE,2016-01-01,11(4)
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