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自相关对气候网络拓扑结构的影响。

Influence of autocorrelation on the topology of the climate network.

作者信息

Guez Oded C, Gozolchiani Avi, Havlin Shlomo

机构信息

Department of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel.

Department of Solar Energy and Environmental Physics, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990 Midreshet Ben-Gurion, Israel.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Dec;90(6):062814. doi: 10.1103/PhysRevE.90.062814. Epub 2014 Dec 29.

Abstract

Different definitions of links in climate networks may lead to considerably different network topologies. We construct a network from climate records of surface level atmospheric temperature in different geographical sites around the globe using two commonly used definitions of links. Utilizing detrended fluctuation analysis, shuffled surrogates, and separation analysis of maritime and continental records, we find that one of the major influences on the structure of climate networks is due to the autocorrelation in the records, which may introduce spurious links. This may explain why different methods could lead to different climate network topologies.

摘要

气候网络中链接的不同定义可能会导致截然不同的网络拓扑结构。我们使用两种常用的链接定义,根据全球不同地理位置的地表大气温度气候记录构建了一个网络。利用去趋势波动分析、重排替代数据以及对海洋和大陆记录的分离分析,我们发现对气候网络结构的一个主要影响因素是记录中的自相关性,这可能会引入虚假链接。这或许可以解释为什么不同的方法会导致不同的气候网络拓扑结构。

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