期刊
GEOPHYSICAL RESEARCH LETTERS
卷 41, 期 2, 页码 541-546出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2013GL058687
关键词
Atlantic Multidecadal Oscillation; climate networks; mutual information; Pearson correlation; westward propagation; conditional Hamming distance
资金
- LINC project [289447]
- ECs Marie-Curie ITN program (FP7-PEOPLE-2011-ITN)
The westward propagation of sea surface temperature (SST) anomalies is one of the main characteristics of one of the theories of the Atlantic Multidecadal Oscillation. Here we use techniques from complex network modeling to investigate the existence of the westward propagation in the North Atlantic SST observations. We construct Climate Networks (CNs) by using a linear Pearson correlation measure (resulting in Pearson Correlation Climate Network (PCCNs)) and a (nonlinear) mutual information measure (resulting in Mutual Information Climate Network (MICNs)) of spatial correlations between SST variations. Analysis of the topological properties of both types of CNs shows that the MICNs are better in capturing the main features of propagating patterns from the noisy SST data than PCCNs and that westward propagation of multidecadal SST anomalies indeed seems to occur in the North Atlantic. Key Points Investigate the westward propagation in the North Atlantic SST observations Construct Climate Networks from SST data and analyze the topological properties Westward propagation of SST anomalies indeed seems to occur in the North Atlantic
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