Date of Award
Open Access Thesis
This thesis discusses time series analysis of weather data in South Carolina for the last fifteen years (January 2003 to December 2017) for Columbia, Greenville and North Myrtle Beach. The first part presents a brief overview of different variables that are used in the analysis. That is, temperature, dew point, humidity and sea level pressure. A short discussion of time series data is also introduced. The second part is about modeling the variables. The models of choice are presented, fitted and model diagnostics is carried out. In the third part, we discuss background on climates of the cities and model comparisions across the three cities. Finally, we do predictions/forecasting to determine model(s) accuracy and also discuss any further improvements.
Odero, G.(2019). Time Series Analysis of Weather Data in South Carolina. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/5578