Study on Correlation between Wind Speed and Temperature using Information Entropy

Abstract

This project investigated temperature and wind speed correlation using information entropy. The hourly temperature and wind speed were retrieved over two weeks for two different regions of the United States, Boston, Massachusetts and Lincoln, Nebraska. Differential entropy was used to calculate mutual information between the hourly change in each variable. Findings revealed that mutual information shared between the two variables was greater in Lincoln than in Boston, indicating change in temperature and wind speed had a stronger correlation in Lincoln than in Boston.