Statistical significance tests for climate networks
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Summary Complex networks present a promising novel tool for climate data analysis. We introduce significance tests to quantify the robustness of measured network properties to uncertainties and illustrate them for the betweenness field of a surface air temperature (SAT) network. Network construction (i) Start with climatological field of N time series. (ii) Calculate correlation or mutual information matrix. (iii) Identify: z Vertices v with grid points (regions), z Edges (v, w) with strongly and significantly interrelated pairs of time series (thresholding).
[1] Potsdam,et al. Complex networks in climate dynamics. Comparing linear and nonlinear network construction methods , 2009, 0907.4359.