  Climate system teleconnections are crucial for improving climate
predictability, but difficult to quantify. Standard approaches to identify
teleconnections are often based on correlations between time series. Here we
present a novel method leveraging Granger causality, which can infer/detect
relationships between any two fields. We compare teleconnections identified by
correlation and Granger causality at different timescales. We find that both
Granger causality and correlation consistently recover known seasonal
precipitation responses to the sea surface temperature pattern associated with
the El Ni\~{n}o Southern Oscillation. Such findings are robust across multiple
time resolutions. In addition, we identify candidates for unexplored
teleconnection responses.
