This two-pronged research paper details a new approach to detecting and tracking extreme weather in climate models as well as applying an extreme-value statistical model to facilitate modeling assessment of possible changes in severe weather patterns.
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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.
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Taschenbuch. Zustand: Neu. Uncertainties and Limitations in Simulating Tropical Cyclones | Asuka Suzuki-Parker | Taschenbuch | Springer Theses | xiii | Englisch | 2016 | Springer | EAN 9783662508725 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 109581338
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The thesis work was in two major parts: development and testing of a new approach to detecting andtracking tropical cyclones in climate models; and application of an extreme value statistical approach toenable assessment of changes in weather extremes from climate models.The tracking algorithm applied a creative phase-space approach to differentiate between modeled tropicalcyclones and their mid-latitude cousins. A feature here was the careful attention to sensitivity to choice ofselection parameters, which is considerable. The major finding was that the changes over time wererelatively insensitive to these details. This new approach will improve and add confidence to futureassessments of climate impacts on hurricanes.The extremes approach utilized the Generalized Pareto Distribution (one of the standard approaches tostatistics of extremes) applied to present and future hurricane distributions as modeled by a regionalclimate model, then applied the changes to current observations to extract the changes in the extremes.Since climate models cannot resolve these extremes directly, this provides an excellent method ofdetermining weather extremes in general. This is of considerable societal importance as we are mostvulnerable to such extremes and knowledge of their changes enables improved planning and adaptationstrategies. Artikel-Nr. 9783662508725
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