Format:
Online-Ressource (XIII, 78p. 44 illus., 29 illus. in color, digital)
ISBN:
9783642250293
Series Statement:
Springer Theses, Recognizing Outstanding Ph.D. Research
Content:
Annotation, The thesis work was in two major 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. A feature here was the careful attention to sensitivity to choice of selection parameters, which is considerable. The major finding was that the changes over time were relatively insensitive to these details. 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) applied to present and future hurricane distributions as modeled by a regional climate 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 of determining weather extremes in general. This is of considerable societal importance as we are most vulnerable to such extremes and knowledge of their changes enables improved planning and adaptation strategies
Content:
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
Note:
"Doctoral thesis accepted by Georgia Institute of Technology, Atlanta, USA
,
Includes bibliographical references
Additional Edition:
ISBN 9783642250286
Additional Edition:
Buchausg. u.d.T. Suzuki-Parker, Asuka Uncertainties and limitations in simulating tropical cyclones Berlin : Springer, 2012 ISBN 3642250289
Additional Edition:
ISBN 9783642250286
Language:
English
Keywords:
Atlantischer Ozean
;
Klima
;
Simulation
;
Tropischer Wirbelsturm
;
Objekterkennung
DOI:
10.1007/978-3-642-25029-3
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