Global Wavelet Coherence

Computes the global wavelet coherence between two time series.

This routine computes the global waveet coherence between a time series x and a time series y, where global coherence measures the relationship between two time series as a function of frequency (or period). Statistical significance is calculated against a red noise background using Monte Carlo methods. User should download code written by A. Grinsted available at http://noc.ac.uk/using-science/crosswavelet-wavelet-coherence before using this function.
An application of global coherence can be found in the following reference:

Justin A. Schulte, Raymond G. Najjar, Ming Li, The influence of climate modes on streamflow in the Mid-Atlantic region of the United States, Journal of Hydrology: Regional Studies, Volume 5, March 2016, Pages 80-99, ISSN 2214-5818, http://dx.doi.org/10.1016/j.ejrh.2015.11.003.