Abstract
In this study, monthly meteorological parameters of temperature, precipitation, and wind speed recorded at 104 synoptic weather stations scattered across Iran were analyzed to construct annual time series of the meteorological data for a 30-year period (1988-2017) using the Mann-Kendall test and the Sen’s slope estimator. Based on the de Martonne aridity index (IDM) classification, Iran’s climate is mostly categorized as dry and semi-dry. The results indicated annual temperature significantly increased at about 61% of stations and annual precipitation significantly decreased at 21% of stations (at the 95% and 99% significance level). The decline in precipitation occurred in mostly the dry (27%) and semi-dry (21%) regions of Iran. Approximately half of the stations experienced significant increases in wind speed with arid areas experiencing broadest increase. Prediction of future impacts of climate change is needed for this region to mitigate negative effects.
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