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Uncertainties and Limitations in Simulating Tropical Cyclones (Paperback, Softcover reprint of the original 1st ed. 2012) Loot Price: R2,789
Discovery Miles 27 890
Uncertainties and Limitations in Simulating Tropical Cyclones (Paperback, Softcover reprint of the original 1st ed. 2012):...

Uncertainties and Limitations in Simulating Tropical Cyclones (Paperback, Softcover reprint of the original 1st ed. 2012)

Asuka Suzuki-Parker

Series: Springer Theses

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Loot Price R2,789 Discovery Miles 27 890 | Repayment Terms: R261 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Theses
Release date: August 2016
First published: 2012
Authors: Asuka Suzuki-Parker
Dimensions: 235 x 155 x 5mm (L x W x T)
Format: Paperback
Pages: 78
Edition: Softcover reprint of the original 1st ed. 2012
ISBN-13: 978-3-662-50872-5
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Earth & environment > Earth sciences > Meteorology > General
LSN: 3-662-50872-9
Barcode: 9783662508725

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