1 استاد اقلیم، دانشگاه خوارزمی، تهران. ایران.
2 اقلیم، دانشگاه خوارزمی، تهران، ایران.
3 دکترای اقلیم، دانشگاه خوارزمی، تهران. ایران.
عنوان مقاله [English]
Precipitation is considered one of the most important weather elements, the variability of which can bring risks such as floods and droughts. In this research, using the daily rainfall data of 1436 synoptic, climatology and rain gauge stations during the statistical period of 1340-1389 and using descriptive and inferential statistics techniques, it investigated the characteristics of rainfall using kriging interpolation, regression and general and partial correlation. It was done to provide a clear picture of the time-spatial distribution of precipitation for the whole area. The average annual rainfall is 251.8 mm. The results showed that the relationship between the simple and partial correlation coefficients with spatial measurements in the entire area and the role of altitude and latitude in the spatial distribution of precipitation was evident, while longitude played a lesser role.Also, in terms of time, the winter season as the rainy season in the whole area has the highest share of received rains with 44.7%. The highest coefficient of variability is related to the winter season (37.2%) and then the spring season (31%), and the lowest coefficient belongs to the summer season (8.3%) and then the autumn season (22.7%). Therefore, in the entire area of Iran, the inconsistency in the temporal and spatial distribution was clearly seen due to climate change and unfavorable use of land resources.