Multivariate methods

Aim: In many circumstances, climate studies involve more than just two time series. Sometimes, spatial maps of a parameter, such as the SLP, are used instead of just one station value. The geographically distributed climate quantities are often stored in gridded data files, consisting of $n_x \times n_y$ grid boxes (or points), each which represent the mean value for that particular region.

An example of multivariate analysis is the map of correlation scores between the SLP and Bergen temperature. Such maps can be used to identify teleconnections, and lagged-correlation maps can be used in the study of propagating signals.