Abstract
ARIMA Approach to Forecasting Reference Evapotranspiration
The effort in the study is on forecasting reference evapotranspiration (ETo) by the SARIMA models. This was accomplished by using monthly ETo dataset obtained based on some parameters of Konya meteorology station. Stationary of the ETo dataset was fulfilled with differencing. Three SARIMA models that provides all conditions for the stationary data set were identified. The models have very close parsimony values depending on AIC and SBC criteria
Keywords
Reference Evapotranspiration, ARIMA approach, AIC, SBC
