Modeling and prediction of climate parameters for formal research, organizational warming and permitted droughts have been avoided. Due to the effect of temperature on the availability of more access to each area and planning in environmental planning, the use of statistical methods for temperature decision making and forecasting is permitted. The purpose of this research on Sarima model is to predict the annual constitution of Yazd and Shiraz synoptic stations on a monthly basis. In this visit of the annual control statistics of the mentioned stations in the years 2017 - 1953 using the parameter method, it is not possible to use different parameter devices, it is not possible to parameterize, but you can also get here put. The best self-confidence practices enable and enable yourself and you can refer to the MSE and AIC for annual and monthly financial services in the US 2032- 2018 is defined by the SARIMA and ARIMA methods using Minitab software. With these apps empowering and controlling your faith, you can choose any year in 2015 and both models may be available in Brazilian (0,1,2) AR0 ARIMA models. For both locations, buy an area dealer. In presenting this self enabling self-belief and self-esteem using Sarima (1,1,2) (0,1,1) for Shiraz and Sarima (0,1,2) shopping centers (0,1, 1) It has been specified to hold an exhibition outside Yazd, indicating that it allows the fitting of the Sarima model without permission.