The Statistical-synoptic Analysis of Heavy Showers in Arid Regions of Iran: Kerman Province

Iran is located in arid and semi-arid regions and has an average precipitation which is one third of the global average. The special character of this region is heavy precipitation. To examine the synoptic characters of heavy precipitation of arid regions, we did a case study on Kerman province. In this study, we use two separate data bases: synoptic station and upper atmosphere. In synoptic station, we use the data of heavy rain. In upper atmosphere, we use (SLP), (HGT), (SHUM), (AIR), (UWIND) and (VWIND). The results show that the heavy rain events are not created from certain source. Using statistical indicators Gamble type 1, 76 tokens of heavy rainfall event were identified in Kerman province. Then through cluster analysis of the geo-potential data level 500hp the synoptic patterns of precipitations were identified. The analysis of synoptic rainfall patterns shows that the most important factor shaping the heavy rainfall in Kerman province is East ward and East Mediterranean descent strengthen the middle troposphere, so when moving down polar vortex system is associated with heavy rainfall at province stations.