Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model

Salem Alzahrani

Abstract: In this paper, we predict average monthly temperature in Al-Baha region, Saudi Arabia, from June 2003 to December 2019, using SARIMA (Self-Regressive Seasonal Moving Average) techniques. A detailed explanation of model selection and prediction accuracy is provided. The results of the model analysis show that the proposed research approach obtains good predictive accuracy.

Keywords: Temperatures, Box-Jenkins, S ARIMA, Evaluation criteria

How to Cite?: Salem Alzahrani, "Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model", Volume 9 Issue 9, September 2020, International Journal of Science and Research (IJSR), Pages: 1375-1381, https://www.ijsr.net/getabstract.php?paperid=SR20924204412, DOI: https://dx.doi.org/10.21275/SR20924204412