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Uncertainties and Limitations in Simulating Tropical Cyclones, Hardcover by S...

US $123.30
ApproximatelyRM 518.48
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eBay item number:355395843075
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Uncertainties and Limitations in Simulating Tropical Cyclones
ISBN
9783642250286
Subject Area
Computers, Science
Publication Name
Uncertainties and Limitations in Simulating Tropical Cyclones
Publisher
Springer Berlin / Heidelberg
Item Length
9.3 in
Subject
Earth Sciences / Meteorology & Climatology, Computer Simulation
Publication Year
2012
Series
Springer Theses Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Asuka Suzuki-Parker
Item Weight
11 Oz
Item Width
6.1 in
Number of Pages
Xiii, 78 Pages

About this product

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642250289
ISBN-13
9783642250286
eBay Product ID (ePID)
110876177

Product Key Features

Number of Pages
Xiii, 78 Pages
Publication Name
Uncertainties and Limitations in Simulating Tropical Cyclones
Language
English
Publication Year
2012
Subject
Earth Sciences / Meteorology & Climatology, Computer Simulation
Type
Textbook
Subject Area
Computers, Science
Author
Asuka Suzuki-Parker
Series
Springer Theses Ser.
Format
Hardcover

Dimensions

Item Weight
11 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
551.6452015118
Table Of 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.
Synopsis
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., 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., 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.
LC Classification Number
QC851-999

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