Record Display for the EPA National Library Catalog

RECORD NUMBER: 1907 OF 2064

OLS Field Name OLS Field Data
Main Title Uncertainties and Limitations in Simulating Tropical Cyclones [electronic resource] /
Type EBOOK
Author Suzuki-Parker, Asuka.
Publisher Springer Berlin Heidelberg : Imprint: Springer,
Year Published 2012
ISBN 9783642250293
Subjects Geography. ; Meteorology. ; Computer simulation. ; Climatic changes.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-3-642-25029-3
Collation XIII, 78 p. 44 illus., 29 illus. in color. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Introduction -- Tropical cyclone detection and tracking method -- Simulated tropical cyclone climatology in the tropical channel experiment -- North Atlantic hurricane climate change experiment -- Statistical modeling of tropical cyclone intensity -- Concluding remarks. This theses is presented in two parts: development and testing of a new approach to detecting and tracking tropical cyclones in climate models; and application of an extreme value statistical approach to enable assessment of changes in weather extremes from climate models. The tracking algorithm applied a creative phase-space approach to differentiate between modeled tropical cyclones and their mid-latitude cousins. Special attention was paid to the considerable sensitivity of parameters. One major finding was that changes over time were relatively insensitive. This new approach will improve and add confidence to future assessments of climate impacts on hurricanes. The Extremes Approach utilized the Generalized Pareto Distribution, one of the standard approaches to statistics of extremes. This method was applied to present and future hurricane distributions as modeled by a regional climate model. The results have been compared with current observations on changes in weather extremes. The author came to the conclusion that the Extremes Approach provides an excellent method of determining weather extremes, whereas it is still difficult to directly resolve these extremes using climate models. The results of this thesis are of considerable societal importance: Detailed knowledge about hurricane characteristics and their progression enable decision-takers to plan and adapt evacuation strategies.