ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

Abstract

Climate change impacts are perceived today as being very noticeable; determination of precipitation, wind, flow, evaporation and temperature trends has become essential for water resources and engineering projects in management and planning. Nowadays there is a lot of studies have been made in progress on global and regional climate changes in literature. In this study, monthly, annual and seasonal trends in average temperature, total precipitation, and average wind speed data calculated by Mann-Kendall, linear trend and Sen's trend tests. The gauge station is located in Samsun, which is the largest city of the Turkey's Black Sea region. The data sets are obtained for the period 1980 to 2015. According to the results, at the levels of significance of 5% and 10%, Mann-Kendall's statistical results were found to be generally similar to those of trend analysis methods.