Statistical analysis of the temperature of 35 long-term meteorological stations in Iran during 1960-2010
Subject Areas :1 , mostafa karampoor 2 , Mohammad moradi 3 , hooshang ghaemi 4 , behrouz nasiri 5
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Keywords: Trend Temperature Man-Kendall Iran,
Abstract :
This study was conducted to determine the long-term behavior of the series of the minimum average temperature and maximum average temperature as well as to identify the hot and cold periods of 35 Iranian stations during the period of 1960-2010.Initially, in order to understand the changes in the minimum and maximum temperatures, the average maps of minimum and maximum temperatures and their coefficient of variation were drawn using the Kriging method. Then, by using of the Mann-Kendall statistical test, the significance of the trend on each station was tested at 95% confidence level. Finally, with the use of the 20% high and low probabilities of the minimum and maximum averages temperature during the 50-year study period, cold and hot courses were identified. The results show that the dispersion and temperature distribution on Iran in the seasonal and annual scale follows a similar pattern, which indicates a regular temperature regime in the region. The range of day-to-day variations in most of the study synoptic stations, except for the winter season which has been decreasing in most of the points, does not show a significant change. The average effect of minimum temperatures on seasonal scale during the studied period is higher on the average temperature of different regions of Iran. The most frequent occurrence of cold periods is in the first half of the study period and the most frequent occurrence of warm periods is in the second half of the study period, especially in the 2000s.