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A Regression Analysis of Past Hurricane Patterns and a Projection for the 2016 Hurricane Season

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Date Issued:
2016
Summary:
I have been discussing the ways in which mathematics is used in the process of hurricane prediction. My thesis analyzes some of the methods of calculation as well as the recent changes in meteorology in order to find more effective methods of predicting the number and intensity of hurricanes. The methods discussed include the use of statistics in the generation of trends and in the calculation of Accumulated Cyclonic Energy (ACE). These methods help meteorologists predict storm frequency, strength, and projected damages. This paper provides methods of calculation, a discussion of current projects and papers in this area of study, and a forecast of the 2016 hurricane season.
Title: A Regression Analysis of Past Hurricane Patterns and a Projection for the 2016 Hurricane Season.
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Name(s): Sanders, Colleen
McGovern, Warren W.
Harriet L. Wilkes Honors College
Type of Resource: text
Genre: Thesis
Date Created: 2016
Date Issued: 2016
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 35 p.
Language(s): English
Summary: I have been discussing the ways in which mathematics is used in the process of hurricane prediction. My thesis analyzes some of the methods of calculation as well as the recent changes in meteorology in order to find more effective methods of predicting the number and intensity of hurricanes. The methods discussed include the use of statistics in the generation of trends and in the calculation of Accumulated Cyclonic Energy (ACE). These methods help meteorologists predict storm frequency, strength, and projected damages. This paper provides methods of calculation, a discussion of current projects and papers in this area of study, and a forecast of the 2016 hurricane season.
Identifier: FA00003691 (IID)
Note(s): Includes bibliography.
Thesis (B.A.)--Florida Atlantic University, Harriet L. Wilkes Honors College, 2016.
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00003691
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.
Is Part of Series: FAU Honors Theses Digital Collection.

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