Climatic changes observed historically need to be known accurately in order to understand the present climatic conditions and to estimate climatic changes to be occur in future. In studies to be done to determine temporal variation of climatic variables, it is accepted that changes can be defined certainly in deterministic methods, and the result of the statistical methods have also spot errors due to the shortage of observation periods and random of observations. In this respect, a model presenting interested climate variable is developed depending on present short observation period. Then, parameters related to the developed model are estimated and new time series are generated. By this aim; trend, periodic and stochastic components of the long-term (1929-1990) daily minimum, mean and maximum values of temperature obtained from Adana Meteorological station have been analysed using time series analysis.

Climatic changes observed historically need to be known accurately in order to understand the present climatic conditions and to estimate climatic changes to be occur in future. In studies to be done to determine temporal variation of climatic variables, it is accepted that changes can be defined certainly in deterministic methods, and the result of the statistical methods have also spot errors due to the shortage of observation periods and random of observations. In this respect, a model presenting interested climate variable is developed depending on present short observation period. Then, parameters related to the developed model are estimated and new time series are generated. By this aim; trend, periodic and stochastic components of the long-term (1929-1990) daily minimum, mean and maximum values of temperature obtained from Adana Meteorological station have been analysed using time series analysis.