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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 92 pp. Englisch. N° de réf. du vendeur 9783662508725
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated by the Georgia Univesity of Technology for a Springer Theses Prize This work investigates how tropical cyclone intensity will change over the next 50 years - a question of high interest to industrial and governmental communities Ne. N° de réf. du vendeur 449137531
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783662508725
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 92 pp. Englisch. N° de réf. du vendeur 9783662508725
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