TY - JOUR ID - 50213 TI - Classification of Iran’s precipitation climate using factor-cluster analysis method JO - Iranian Journal of Soil and Water Research JA - IJSWR LA - en SN - 2008-479X AU - Nadi, Mahdi AU - Khalili, Ali AD - PhD student of agrometeorology, Faculty of Agriculture & Natural Resources, University of Tehran, Department of Irrigation and reclamation, Agrometeorology Division, Karaj, Iran AD - Professor, Faculty of Agriculture & Natural Resources university of Tehran, Department of Irrigation and reclamation, Agrometeorology Division, Karaj, Iran Y1 - 2013 PY - 2013 VL - 44 IS - 3 SP - 235 EP - 242 KW - climate precipitation KW - Cluster Analysis KW - factor analysis KW - Iran DO - 10.22059/ijswr.2013.50213 N2 - In this study to segregate Iran's climate precipitation, 130 climate variables were used from 81 synoptic meteorological stations and then 98 combined variables were calculated. Eventually 39 important combined variables were selected for analysis, using backward algorithm. After that by using factor analysis, the selected variables were summarized in six main factors: summer precipitation, spring precipitation and cold month’s rainfall intensity, number of snowy days, longitude, variability index and number of stormy days. These factors explained 82% of total variation in the data. Finally in order to determination of different patterns of precipitation in Iran, Factor scores were grouped by Ward hierarchical clustering algorithm. Using this algorithm six different precipitation climate regions were introduced which are grouped in four small area and two broad ones. Also to increase the homogeneity of broad area, each of the broad regions were divided into two smaller areas, regarding to dendrogram of selected meteorological stations. UR - https://ijswr.ut.ac.ir/article_50213.html L1 - https://ijswr.ut.ac.ir/article_50213_094ddcaaba8af77b16406438c266b2b3.pdf ER -