{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/565"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/565","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"Ahead of the Storm: Implications of Changing Parameters in U.S. Tropical Cyclone Likelihood and Damage Estimation Models in the Face of Global Climate Change","abstract":"The Intergovernmental Panel on Climate Change (IPCC) reports tropical cyclones have been occurring with increasing intensity as a result of global climate change. We examine these projections using stochastic modeling of tropical cyclone frequency and damages over two time periods in the United States. We fit Poisson models to U.S. tropical cyclone frequency data from a pre-climate change era to a post-climate change era and test equality of the Poisson rate parameters from each period to analyze changes in tropical cyclone frequency. We fit lognormal models to damages per storm (adjusted for inflation, population, and wealth) for both time periods. We test the equality of parameters ? and ? over the two time periods to evaluate changes in intensity and volatility of U.S. tropical cyclones. We found significant changes in tropical cyclone behavior between the two time periods with the onset of global climate change.","abstract_html":"The Intergovernmental Panel on Climate Change (IPCC) reports tropical cyclones have been occurring with increasing intensity as a result of global climate change. We examine these projections using stochastic modeling of tropical cyclone frequency and damages over two time periods in the United States. We fit Poisson models to U.S. tropical cyclone frequency data from a pre-climate change era to a post-climate change era and test equality of the Poisson rate parameters from each period to analyze changes in tropical cyclone frequency. We fit lognormal models to damages per storm (adjusted for inflation, population, and wealth) for both time periods. We test the equality of parameters ? and ? over the two time periods to evaluate changes in intensity and volatility of U.S. tropical cyclones. We found significant changes in tropical cyclone behavior between the two time periods with the onset of global climate change.","abstract_has_math":false,"creators":["Gary, Emily"],"institution":"University of Nevada, Reno","degree_name":"Mathematics","degree_level":"Honors Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Panorska, Anna K."],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015","date_published":"2015","updated_at":"2026-07-27T21:46:30Z","subjects":[],"languages":["en_US","English"],"rights":["In Copyright(All Rights Reserved)"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/565","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Panorska, Anna K."]},{"key":"dc:creator","label":"Author","values":["Gary, Emily"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-01-24T23:09:11Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-01-24T23:09:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2015"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Honors Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Mathematics"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Nevada, Reno"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright(All Rights Reserved)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/565"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."]},{"key":"dc:description.abstract","label":"Abstract","values":["The Intergovernmental Panel on Climate Change (IPCC) reports tropical cyclones have been occurring with increasing intensity as a result of global climate change. We examine these projections using stochastic modeling of tropical cyclone frequency and damages over two time periods in the United States. We fit Poisson models to U.S. tropical cyclone frequency data from a pre-climate change era to a post-climate change era and test equality of the Poisson rate parameters from each period to analyze changes in tropical cyclone frequency. We fit lognormal models to damages per storm (adjusted for inflation, population, and wealth) for both time periods. We test the equality of parameters ? and ? over the two time periods to evaluate changes in intensity and volatility of U.S. tropical cyclones. We found significant changes in tropical cyclone behavior between the two time periods with the onset of global climate change."]},{"key":"dc:format","label":"Dc Format","values":["PDF"]},{"key":"dc:title","label":"Title","values":["Ahead of the Storm: Implications of Changing Parameters in U.S. Tropical Cyclone Likelihood and Damage Estimation Models in the Face of Global Climate Change"]}]}],"canonical_facts":{"dc:contributor.advisor":["Panorska, Anna K."],"dc:creator":["Gary, Emily"],"dc:date.accessioned":["2017-01-24T23:09:11Z"],"dc:date.available":["2017-01-24T23:09:11Z"],"dc:date.issued":["2015"],"dc:description":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."],"dc:description.abstract":["The Intergovernmental Panel on Climate Change (IPCC) reports tropical cyclones have been occurring with increasing intensity as a result of global climate change. We examine these projections using stochastic modeling of tropical cyclone frequency and damages over two time periods in the United States. We fit Poisson models to U.S. tropical cyclone frequency data from a pre-climate change era to a post-climate change era and test equality of the Poisson rate parameters from each period to analyze changes in tropical cyclone frequency. We fit lognormal models to damages per storm (adjusted for inflation, population, and wealth) for both time periods. We test the equality of parameters ? and ? over the two time periods to evaluate changes in intensity and volatility of U.S. tropical cyclones. We found significant changes in tropical cyclone behavior between the two time periods with the onset of global climate change."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/565"],"dc:language":["English"],"dc:language.iso":["en_US"],"dc:rights":["In Copyright(All Rights Reserved)"],"dc:title":["Ahead of the Storm: Implications of Changing Parameters in U.S. Tropical Cyclone Likelihood and Damage Estimation Models in the Face of Global Climate Change"],"dc:type":["Thesis"],"thesis:degree_level":["Honors Thesis"],"thesis:degree_name":["Mathematics"],"thesis:institution_name":["University of Nevada, Reno"]},"updated_at":"2026-07-27T21:46:30Z"}