Jiang Lei, Zhao Xia, Wang Lu
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China.
Jiangsu Research Center for Ocean Survey Technology, Nanjing, China.
PLoS One. 2016 Apr 21;11(4):e0153774. doi: 10.1371/journal.pone.0153774. eCollection 2016.
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°S60°N), northern hemisphere (0°N60°N), and southern hemisphere (0°S60°S), α = 0.84 over the intermediate latitude of southern hemisphere (30°S60°S), α = 0.81 over the intermediate latitude of northern hemisphere (30°N60°N) and α = 0.90 over the tropics 30°S30°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.
利用去趋势波动分析(DFA)研究了从哈德利中心海冰和海表温度(HadISST)1870 - 2009年平均月数据集得出的全球月海表温度(SST)的标度行为。发现全球海表温度波动在所有相关时间间隔内都具有很强的正长程相关性。热带地区的标度指数值大于北半球和南半球中纬度地区的标度指数值。在全球范围(60°S60°N)、北半球(0°N60°N)和南半球(0°S60°S),DFA得出的标度指数α = 0.87;在南半球中纬度地区(30°S60°S)α = 0.84;在北半球中纬度地区(30°N60°N)α = 0.81;在热带地区(30°S30°N)α = 0.90 [波动F(s) ~ sα],这表明月海表温度异常波动呈现长期相关行为。此外,标准差越大,相应区域海表温度的长程相关性(LRCs)越小,特别是在三个不同的上升流区域。在考虑标准差之后,引入一个指数χ = α * σ来获得χ的空间分布。在中东太平洋、北太平洋和西北大西洋存在全球海表温度的明显变化。这可能是气候和海洋变化可预测性的一个线索。