Author(s)

E. Sanchez, J.P. Montavez, A. Rodriguez & J.I. Jimenez

Abstract

A series of the mean maximum and minimum temperatures, precipitation, atmospheric pressure, relative humidity and duration of sunshine were measured every January in seven stations in the south of Spain for thirty years. These have been studied using multivariate analysis to compare two statistical methods. The first analysis is a technique called "Subjective Method", and is based on a design of an algorithm produced by Biasing in 1979. The second statistical method we use is the Principal Component Analysis (PCA) which in recent years has increasingly been employed by meteorologists and climatologists to delineate patterns of different meteorological variables. The results of the comparison indicate that PCA better explai

Keywords