Document Type : scientific-research article
Authors
Abstract
The writers of this research have studied seven variables including: precipitation, relative humidity, sunny hours, temperature average, temperature minimum, temperature maximum and sea level pressure, at Sanandaj Air Station during 1964-1994. Sanandaj Air Station has nearly 10966 days of complete data for these variables. A principal component analysis (PCA) has been applied on this data; then five principal components have been selected that explain more than 1% variances. A cluster analysis has been applied on this matrix (10966*5) and five synoptic types have been obtained. Synoptic types one and five, showed a large amount of within group variance. So a PCA was applied to the members of these two types and three synoptic subtypes have been obtained for synoptic type one and five synoptic subtypes for synoptic type five.
Keywords: synoptic type, principal component analysis, cluster analysis, seed day, correlation of intergroup.
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