Date of Completion
Honors College Thesis
Mathematics and Statistics
Functional Data Analysis, Weather, Statistics, Splines
This thesis explores the use of functional data analytic methods to examine climate change in a select group of 16 cities in the United States. The purpose of the project was to explore methods of functional data analysis in the context of climate change.Data used in this study was collected from NOAA's National Climatic Data Center. Major cities from around the United States were selected provided they had 100 percent coverage for the span of years of interest, 1950 through 2013. Sixteen cities were found to have complete data for every day of the 64-year period.Spline functions were fit to the temperature time series after removing seasonal variation. Mean temperature curves and associated confidence limits were computed.The results show a significant rise of temperature in U.S. cities within the last few decades and that the rate of increase has consistently stayed above zero since the 1970s.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
King, Katherine S., "Functional Data Analysis With Application to United States Weather Data" (2014). UVM Honors College Senior Theses. 10.