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Optimization of a snow network by multivariate statistical analysis

ABSTRACT The aim of the present work is that of analysing the data of snow-cover measurements carried out in the northeastern Alps by the Italian National Electricity Board (ENEL) since 1966, in order to select a reduced number of measurement stations from which to evaluate the water equivalent amount. The selection was based on cluster methods for identification of homogeneous areas and afterwards on principal component analysis for individualization of representative stations. The results confirm that by employing a set of reduced input data the output is only moderately affected.