Estimation Monthly Mean, Temperature using Correlation Formula in different provinces in Iraq

Abstract

In this study, we proposed a simple models to estimate monthly mean temperature using long term measured data for 9 meteorological stations in Iraq. The models based on fourth order polynomial degree correlation formula, the coefficients of the models were determined by considering root mean square error (RMSE), Modeling index (d) and correlation coefficient(r). There are seen that the models have a good agreement with long term measured data. The proposed models would be useful for farmers and agriculture applications, also can be implemented to other region in Iraq