عنوان مقاله [English]
نویسندگان [English]چکیده [English]
In this research two databases have been created using daily observations of seven climatic variables during 1965-1995 and amounts daily observations of 500 hpa during 1974-2004. On the first database a principal component analyses have been applied and five major components recognized. A cluster analyses applied on these major components and eleven synoptic types obtained for Sanandaj station. Then on second database a PCA have been applied too, and eleven major components recognized. A cluster analyses applied on these eleven major components and eight circulation patterns recognized that the third circulation pattern for some reasons distracted to ten sub-circulation patterns. Statistical characteristic of these synoptic types have been calculated and covariance of these synoptic types with circulation patterns of 500 hpa have been studied. We find a weak relationship between the circulation patterns and synoptic types. It seems reasonable to find weak relationship between circulation patterns and synoptic types. Because circulation patterns only represent the dynamic aspect of the atmosphere but synoptic types have a thermodynamic nature.