Climate mapping of Kurdistan province using by new statistical methods

To climatic mapping of Kurdistan province, new methods such as Principle Component Analysis and Cluster Analysis were used. In order, the number of 39 climate variables of 10 weather stations of the province was selected. Then, using IDW interpolation method, a matrix of 39×99 data were obtained. Evaluation of province climate with factor analysis showed that the climate of the province is made up from four factors. These factors are: humidity and snow factor, dehydrator-rain factor, thunder-cloudy and glacial factor. The obtained results showed that the six climatic regions in the study area are detectable.

Keywords:

Climate Classification , Principle Component Analysis , Cluster Analysis