Cluster analysis (CA) has been applied to geophysical research for over two decades
although its popularity has increased dramatically over the past few years. To date …

Five different methods that have been used for classification of circulation patterns
(correlation method, sums‐of‐squares method, average linkage, K‐means, and rotated …

This investigation examines principal component (PC) methodology and the interpretation of
the displays, such as eigenvalue magnitude, loadings and scores, which the methodology …

Principal component analysis is widely used in the analysis of multivariate data in the
agricultural, biological, and environmental sciences. The first few principal components …

Using rotated principal component analysis (PCA), unique, orthogonal spatial patterns of
daily and monthlyprecipitation on a well-instrumented, mountainous watershed in Idaho are …

The study addresses some methodological issues of application of principal component
analysis (PCA) to the classification of circulation patterns. The obliquely rotated PCA in T …

Synoptic situations associated with strong southeasterly winds over the Rio de la Plata (RP)
estuary are locally known as sudestadas. This phenomenon affects the coast of Buenos …

In past research the Southern Oscillation index has often been used as an indicator of the
tropical Pacific climate, notably for El Niño and La Niña event occurrences. This study …

Principal component analysis was carried out on daily sea‐level pressure maps for the
period 1972–1983 in southern South America to determine the main synoptic types. Each …

A new eigentechnique approach, Principal Sequence Pattern Analysis (PSPA), is introduced
for the analysis of spatial pattern sequence, as an extension of the traditional Principal …