Granger causality analysis of rainfall and temperature time series
Abstract
Analysis of climate variables aims for scientifically establishing the influence of climatic variations on natural or anthropogenic factors. Several studies infer statistical cause effect relationships between meteorological variables. This paper has focused on the relationship between temperature and rainfall of Katsina metropolis. Being in a Tropical Continental region; it experiences rainfall between May and September with peak in August and is periodic in 12 months. A Granger-causality analysis was carried out in order to assess whether there is any prospective predictability power of one variable to the other. The conclusion was that temperature has a great impact on rainfall occurrence and can be used to predict rainfall, and vice-versa. These results will give an insight for developing bi-variate meteorological model.
How to Cite This Article
Ibrahim Lawal Kane, Hassan Umar Abubakar (2021). Granger causality analysis of rainfall and temperature time series. International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 2(3), 153-155.