Abstract
A principal component analysis of rainfalls recorded during five winters (1981–1985) at about 70 stations in Northern Italy has been performed. The spatial distribution of the first four eigenvectors (whose principal components cumulatively account for about 81% of the total variance) is presented and discussed. A subsequent rotation of the first four principal components led to new spatial distributions which are are also described. Moreover, the rotation allowed associating the first three rotated principal components with atmospheric circulation patterns typically occurring in the area and belonging to a classification scheme of weather types on the Po Valley previously introduced by other authors on the base of a visual scanning of three years of daily maps.
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