Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Statistics
First Advisor's Name
Sneh Gulati
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
B.M. Golam Kibria
Second Advisor's Committee Title
Committee Member
Third Advisor's Name
Robert Burgman
Third Advisor's Committee Title
Committee Member
Keywords
Sea level rise, Key West, Time series, Acceleration, Trend, Regression
Date of Defense
11-14-2017
Abstract
Sea level rise (SLR) varies depending on location. It is therefore important to local residents, businesses and government to analyze SLR locally. Further, because of increasing ice melt and other effects of climate change, rates of SLR may change. It is therefore also important to evaluate rates of change of SLR, which we call sea level acceleration (SLA) or deceleration.
The present thesis will review the annual average sea level data compiled at the Key West tidal gauge in Key West, Florida. We use a multi-model approach that compares the results of various models on that data set. The goal is to determine if there is a consistent result that can be ascertained from the various models.
Generally, all the models reveal a clear upward trend of SLR. Further, the models provide evidence that the trend has increased over the last 8-10 years, i.e., that there is SLA.
Identifier
FIDC004007
Recommended Citation
Tenenholtz, John, "Trend and Acceleration: A Multi-model Approach to Key West Sea Level Rise" (2017). FIU Electronic Theses and Dissertations. 3552.
https://digitalcommons.fiu.edu/etd/3552
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Comments
Submission of final document.