University of Tabriz Water and Soil Science 2008-5133 20 4 2011 01 21 Montly Prediction of Reference Crop Evapotranspiration in Fars Province Montly Prediction of Reference Crop Evapotranspiration in Fars Province 157 169 1385 FA HR Fooladmand Journal Article 2014 05 21 Estimation of reference crop potential evapotranspiration (ET_o) is essential in many irrigation projects. Also, concerning the deficit of water reresources in Iran, ET_oprediction through using time series has paramount role in future  programming. Based on this, monthly ET_ovalues were calculated using monthly weather data up to year 1388 of synoptic stations in Fars province containing Abadeh, Eghlid, Darab, Zarghan, Dorodzan Dam, Shiraz, Fasa and Lar. Then, in each station it was assumed that about 20 percent of last ET_ovalues were not available, and consequently these values were predicted using time series model of SARIMA, and then the predicted and calculated values of ET_oin each station were compared with line one:one, separately. The results showed that the same time series model were not appropriate for all stations. Moreover, the results indicated that there were not significant diferences between the predicted and calculated values of ET_oin each stations. Therefore, ET_ovalues were predicted up to year 1403 for each station, separately. The results generally indicated an increasing trend in ET_oprediction in Fars province.  Estimation of reference crop potential evapotranspiration (ET_o) is essential in many irrigation projects. Also, concerning the deficit of water reresources in Iran, ET_oprediction through using time series has paramount role in future  programming. Based on this, monthly ET_ovalues were calculated using monthly weather data up to year 1388 of synoptic stations in Fars province containing Abadeh, Eghlid, Darab, Zarghan, Dorodzan Dam, Shiraz, Fasa and Lar. Then, in each station it was assumed that about 20 percent of last ET_ovalues were not available, and consequently these values were predicted using time series model of SARIMA, and then the predicted and calculated values of ET_oin each station were compared with line one:one, separately. The results showed that the same time series model were not appropriate for all stations. Moreover, the results indicated that there were not significant diferences between the predicted and calculated values of ET_oin each stations. Therefore, ET_ovalues were predicted up to year 1403 for each station, separately. The results generally indicated an increasing trend in ET_oprediction in Fars province.  https://water-soil.tabrizu.ac.ir/article_1385_575756bcb93cc522c47a8a3d35c27334.pdf