Climate system is complicated and highly nonlinear, and a certain condition occurs over a small region could potentially propagate through space to affect remote regions. However, diagnosing such remote relationships is challenging due to the non-linearity of the climate system itself. In this study, we analyzed the relationship between Pacific Sea Surface Temperatures (SST) anomaly that indicates El Ni?o dynamics and Amazon basin local precipitation. We overcame the traditional difficulty of establishing reliable climate relationship with a simple linear assumption, by employing the statistical framework of mutual information. We effectively revealed a strong relationship between El Ni?o’s and tropical precipitation as well as the spatial distribution of such relationship.
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