TY - JOUR T1 - Statistical Analysis - Synoptic a Continuity Heat Waves of Iran TT - بررسی آماری ـ همدیدی موج‌های گرمایی کم تداوم ایران JF - lu-gsma JO - lu-gsma VL - 1 IS - 2 UR - http://gsma.lu.ac.ir/article-1-52-en.html Y1 - 2020 SP - 19 EP - 33 KW - Heat wave KW - Synoptic KW - Correlation matrix KW - Iran N2 - Among atmospheric disasters, heat waves are the most important atmospheric disasters and a study of the annual mortality rate due to climate hazards shows that heat waves cause the highest mortality rate compared to other climatic events. In this study, the basis of calculations to identify Iran's heat waves is the networked data of the maximum temperatures of synoptic and climatic stations in Iran, which in the period (1981-2011) for each day determines the climatic conditions of the country on 7187 cells. After programming in Mat lab software, the days whose standard deviation coefficient was higher than 2 and lasted at least 2 days separated from the Iranian maximum temperature matrix by this program, determined as Iranian heat waves. Then the four-day waves, which were more widespread and frequent, were selected and analyzed. Representative day method was used to study the synoptic heat waves. Saudi low pressure (SLP) and Pakistan low pressure (PLP) were the most important systems for the occurrence of this heat wave. At the time of occurrence of these waves, a strong stability prevails in Iran, low pressure on the ground and high pressure in the upper atmosphere. M3 10.29252/gsma.1.2.19 ER -