Influence of autocorrelation on the topology of the climate network

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 auto-correlation in the records, that may introduce spurious links. This may explain why different methods could lead to different climate network topologies.

arXiv comment8 pages, 7 figures, 2 tables

References in corpus (14)

• The architecture of complex weighted networks
• Detecting Long-range Correlations with Detrended Fluctuation Analysis
• Complex networks in climate dynamics - Comparing linear and nonlinear network construction methods
• The backbone of the climate network
• Power-law persistence and trends in the atmosphere: A detailed study of long temperature records
• Investigating the topology of interacting networks - Theory and application to coupled climate subnetworks
• The Emergence of El-Niño as an Autonomous Component in the Climate Network
• Inferring long memory processes in the climate network via ordinal pattern analysis
• Disentangling different types of El Niño episodes by evolving climate network analysis
• The dominant imprint of Rossby waves in the climate network
• Optimal Paths in Complex Networks with Correlated Weights: The World-wide Airport Network
• Climate Network Structure Follows North Atlantic Oscillation Phases
• On the Effects of Lag-Times in Networks Constructed from Similarities of Monthly Fluctuations of Climate Fields
• Global Climate network evolves with North Atlantic Oscillation phases: Coupling to Southern Pacific Ocean

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