the identification of weather types of sanandaj from 1964 to1994

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.