SOME STATISTICAL CONSIDERATION ON THE CLIMATES OF ROMANIA

In this study, regional climates of Romania were identified based on the properties of 13 monthly rainfall and 22 temperature time series models of Romania. The autocorrelation (ACF) and partial autocorrelation (PACF) of selected series revealed the seasonal behavior of the monthly rainfall and temperatures. After the parameters of the models were estimated and the residuals of the models analyzed to be time independent and the normality was checked, the multiplicative ARIMA model was fitted to monthly rainfall and temeperature time series of the stations. To determine regional climates, a hierarchical cluster analysis was applied on autocorrelation coefficients at different lags and two main climatic groups are proposed based on the time series models, namely, simple and moderate climates. The results of the time series modeling showed a moderate variation of the temporal pattern of the monthly rainfall over Romania while moderate temperature variation is present. No reliable results could be estimated for the Carpathian region. The study fails to show any significant correlation between the seasonal autocorrelation coefficient of the rainfall and temperature time series and the rainfall and temperature coefficient of variation and elevation of the Different models for precipitation also imply the relatively high variation in the spatial rainfall producing mechanism and different stationarity and periodicity characteristics of the rainfall temporal pattern over Romania.