A Review of Studies on the Effect of Teleconnections on Precipitation in Iran from 2004 to 2018

In recent years, due to the occurrence of frequent floods in Iran, finding a significant relationship between climatic signals and precipitation has become an important issue. In this context, many studies have been conducted which shows a strong relationship between these signals and climatic parameters, especially precipitation. In this research an attempt has been made to depict the general view of the available studies which are published in International and national journals during 2004 to 2018 and to make the results more applicable for those interested in further research in this field. For this purpose, 50 articles have been collected in the field of studying “the relationship between climatic signals and Iran rainfall” and their results have been summarized in the form of tables, graphs and maps to provide a general understanding of the process and results of the studies. The common point of the results explained that the impact of SOI, NAO and NINO group indices are more than other indices. Also, the SOI index is more effective than the NAO and NINO group indices. However, climatic indices have the most effects on precipitations in winter and autumn. In addition, the greater impacts of indices can be seen in the western regions of the country and also impacts of the most indices are associated with lag, which has been another common result of various studies.