摘要：Nowadays there is a strong degree of agreement that the climate change isthe defining challenge of our time, which will exert influence on the ecosystems, onall branches of the international economy and on the quality of life. The analysisbased on climate indices is widely used non-parametric approach for quantificationof the mean state as well as extreme climate events. This study, which is continuationof our previous efforts, is dedicated to the assessment of the trend magnitude and thetrend statistical significance of six temperature-based and three precipitation-basedindices in projected future climate over Southeast Europe up to the end of the 21stcentury. The indices are computed from the bias-corrected output of five CMIP5global models, reinforced with all four RCP emission scenarios. The model output isaccessed from the section of the Inter Sectoral Impact Model IntercomparisonProject in the Copernicus Data Store. The multi model ensemble medians of thetemperature-based indices shows considerable increase which is consistent with thewarming of the mean temperatures. These changes are statistically significant in mostcases and intensify with the radiative forcing. The revealed tendencies of theprecipitation-based indices are more complex when compared with temperaturetendencies.
