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The wind has considerable effects on the ecosystem and evaporation as an essential parameter of the hydrological cycle. Therefore, determining historical changes in the wind will help to specify these effect levels. Although there are studies on the determination of wind speed trends by several researchers in Turkey, it is necessary to investigate the changes in the trend structure with recent data. For this purpose, the trends of monthly surface wind speed data from 1970 to 2021 belonging to 199 meteorology observation stations in Turkey are determined in the present study. The nonparametric Mann–Kendall test and Sen's slope method are used in the trend analysis accounting for serial correlation effects. The trend analysis results of wind speed data are evaluated temporally and spatially for seven geographical regions within Turkey. As a result of this study, a prominent part of stations in Turkey shows a decrease or significant decrease trend. In addition, as a result of comparisons made with previous studies, it is determined that the trend structure of the wind speed in the country has changed. In the annual and monthly wind speeds, it is observed that the number of stations has a "significant trend" decreased considerably. [ABSTRACT FROM AUTHOR]

In this study, trend analyses of six climatic variables (mean, minimum, and maximum temperature, relative humidity, wind speed, and precipitation) for 1966-2020 are conducted for the Southeastern Anatolia Region, which is the main focus of the integrated development project in Turkey (Turkish acronym GAP). The trends for seasonal and annual periods are determined using the Mann-Kendall (MK) test, and Sen's slope method and regression analyses are used to find the trends' slopes. Moreover, Innovative Trend Analysis (ITA) is also used to find the time series changes for low, medium, and high values. As a result of the analyses, the mean, minimum, and maximum temperatures in the GAP region show increasing trends according to both methods. Significant trends are obtained at a limited number of stations for the precipitation, relative humidity, and wind speed with the MK test, while consistent decreasing trends are found at most stations with the ITA method. [ABSTRACT FROM AUTHOR]

The aim of this study is to conduct a drought analysis at Kars station in the northeast of Turkey using six different meteorological parameters by utilizing The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method based on the entropy weight method. As of the input parameters of the study, the mean monthly rainfall, mean monthly maximum and minimum temperature, mean monthly relative humidity, mean monthly wind speed, mean monthly sunshine duration, obtained by the Kars meteorology station for 1990 and 2018 period are used. In the second section of the study, Mann–Kendall trend analysis was applied to TOPSIS results. The findings of this study indicated that the drought tends to increase in January, May and October. In the final section of the study, multivariate regression analysis, which accepts six different parameters as independent variables and TOPSIS drought index results as dependent variables, was performed. According to the findings of this study, there were no cases of extreme wet, severe wet, medium wet, severe drought and extreme drought at the Kars station. The driest months are May and June. The wettest months are March and November. [ABSTRACT FROM AUTHOR]