Graph Analysis of Arctic Ice

• Other Authors: Wallace-Patterson, Chloe Rae (Author), Syrotiuk, Violet (Thesis Director), Colbourn, Charles (Committee Member), Montgomery, Douglas (Committee Member), Barrett, The Honors College, School of Mathematical and Statistical Sciences, Computer Science and Engineering Program
• Format: Text
• Language: English
• Published: 2013
• Subjects: Climate; Graphs; Computer Science; Arctic; Sea ice
• Online Access: http://hdl.handle.net/2286/R.I.17042

abstract: Polar ice masses can be valuable indicators of trends in global climate. In an effort to better understand the dynamics of Arctic ice, this project analyzes sea ice concentration anomaly data collected over gridded regions (cells) and builds graphs based upon high correlations between cells. These graphs offer the opportunity to use metrics such as clustering coefficients and connected components to isolate representative trends in ice masses. Based upon this analysis, the structure of sea ice graphs differs at a statistically significant level from random graphs, and several regions show erratically decreasing trends in sea ice concentration.