Statistical significance tests for climate networks

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).