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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.