# Canonical Correlation Analysis for finding patterns in coupled fields

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First CCA pattern of Sea Level Pressure (SLP) and Sea Surface Temperature (SST) monthly anomalies for the region between -180 °W to -70 °W and +30 °N to -30 °S. |

This particular method was illustrated by Barnett and Preisendorfer (1997) – it constructs a CCA model based on a truncated subset of EOF coefficients (i.e. “principle components”) instead of using the original field (as with MCA). This truncation has several benefits for the fitting of the model – First, one reduces the amount of noise in the problem by eliminating the higher EOF modes, which represent poorly organized, small-scale features of the fields. Second, by using orthogonal functions, the algebra of the problem is simplified (see von Storch and Zweiers 1999 for details). Bretherton etal. (1992) reviewed several techniques for diagnosing coupled patterns and found the Barnett and Preisendorfer method (hereafter “BPCCA”) and MCA to be the most robust.

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