Study on Variation of Major Teleconnection Patterns (MTP) associated with Iran's Precipitatio

In this study, the effects of some leading Teleconnection Patterns of atmospheric circulation, on regional-scale for Middle East, along with precipitation over Iran have been investigated. Different types of data including Teleconnection Indices and monthly precipitation data weather stations have been used. One of important parameters is Precipitation that has change from a year to other year. Teleconnection Patterns and Indices are remote controller of precipitation amount variation in Iran and the entire world. So in this paper on of main goal is relationship between teleconnection patterns and precipitation data in main meteorological station of IRAN that have long term data base.
Material and By using Statistical analysis (Correlation and linear regression) over Precipitation data via 25 Weather Station from 1951-2005 in whole Country and Teleconnection Indices from NOAA, we analysis and notice to archive component that have up most impact on Precipitation variation in Iran.
According to the relationship between major teleconnection indices and Iran's rainfall, we investigate to recognition of their effects and phenomena on climate of Iran. As a results the Sum of 24 stations, the precipitation of Iran have decrease trend. Eventually changes in some Teleconnection indices cause decreasing rainfall as SCAND index, GlobLandTA, NH sstaⶩ, NH ta Land, NTA and EA in spite of intensifying of some indices that increasing rainfall as SST4, MEI, PDO, NOI.
In resent decade, Global increasing temperature causes change over most atmospheric parameters in whole world and the other hand these atmospheric parameters themselves have impact as feedback over other branches of Climate and weather machine. One of important results in current paper is showing effect of Global Warming that cause decreasing in average of Iran's precipitation by means of change in some teleconnection pattern in time series. Also the results indicate that ENSO is the most effective factor and it can influence on variation of precipitation, temporally and spatially, on all type of climate regimes in Iran.