Math and Computer Science Honors Theses

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.

Comments

Reader: David B. Damiano

This document is currently not available here.

Share

COinS