
Detecting Climate Change Points
Date of Creation
5-16-2018
Document Type
Departmental Honors Thesis - Restricted Access
Department
Mathematics
First Advisor
Eric Ruggieri
Abstract
Climate change is the result of complex interactions between a wide array of climatic variables. Over a long period of time, climatic patterns can exhibit abrupt shifts. Abrupt shifts that occur over a relatively short period of time are known as change points. During these intervals, different climatic variables may undergo dramatic shifts posing serious consequences for many biological and physical systems. In this paper, we discuss a Bayesian algorithm for detecting the exact location of change points in time series data. In particular, we utilize our method to analyze temperature and greenhouse gas records from 1880 to 2016.
Recommended Citation
Yu, Michelle, "Detecting Climate Change Points" (2018). Math and Computer Science Honors Theses. 57.
https://crossworks.holycross.edu/math_honor/57
Comments
Reader: David B. Damiano