Prediction models for carbon dioxide emissions and the atmosphere

Abstract

The object of the present study is to develop statistical models for predicting the carbon dioxide emissions and the atmosphere in the United States. We used monthly emissions data from 1981 to 2003 that was collected by the Carbon Dioxide Information Analysis Center. For the carbon dioxide in the atmosphere, we used the data that was collected in Mauna Loa from 1965 to 2004 by the Scripps Institution of Oceanography. The developed statistical models take into consideration trends and seasonal effects. The quality of the prediction process is illustrated using the actual data.