Multiple linear regression (MLR)‎ model for prediction potential evapotranspiration (ET0)‎

الملخص EN

Prediction Model for potential crop evapotranspiration (ETo) as dependent factor of three metrological stations extended along the Jordan Valley have been evaluated using multiple linear regression (MLR) model using Microsoft office excel.

The observed ETo values used have been estimated by Penman Monteith equation.

The average daily means meteorological data for period extended from 2001 till 2008 for Dair Alla and Al Karama stations and from 2001 till 2006 for Sharhabeel station were used.

The temperatures (T) (0C), relative humidity percentage (RH), wind speed (U) ms-1 and solar radiation (RS) MJ s-1 as independent variables collected from metrological station.

The MLR model was applied for each station to determine one equation for each station.

Also, average mean daily climatic data for three stations for the period extended from 2001 till 2006 were used to abstract one representative MLR equation for Jordan Valley.

The root mean square error (RMSE) for Al karama , Dair Alla, Sharhabeel and overall stations MLR equations were ; 0.143, 0.126, 0.165and 0.131, respectively.

A strong positive linear correlation between ET0 with T and Rs and the coefficient of determination (R2) are 0.82 and 0.953 respectively, and a weak positive linear correlation was found between ET0 and U with R2 value is 0.522, whereas a moderate negative linear correlation was found among ET0 and RH with R2 value is 0.725.