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Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Paperback, 2013 ed.) Loot Price: R4,170
Discovery Miles 41 700
Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Paperback, 2013 ed.): Amir Aghakouchak, David Easterling,...

Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Paperback, 2013 ed.)

Amir Aghakouchak, David Easterling, Kuo-Lin Hsu, Siegfried Schubert, Soroosh Sorooshian

Series: Water Science and Technology Library, 65

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Loot Price R4,170 Discovery Miles 41 700 | Repayment Terms: R391 pm x 12*

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This book provides a collection of the state-of-the-art methodologies and approaches suggested for detecting extremes, trend analysis, accounting for nonstationarities, and uncertainties associated with extreme value analysis in a changing climate. This volume is designed so that it can be used as the primary reference on the available methodologies for analysis of climate extremes. Furthermore, the book addresses current hydrometeorologic global data sets and their applications for global scale analysis of extremes. While the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.

General

Imprint: Springer
Country of origin: Netherlands
Series: Water Science and Technology Library, 65
Release date: November 2014
First published: 2013
Editors: Amir Aghakouchak • David Easterling • Kuo-Lin Hsu • Siegfried Schubert • Soroosh Sorooshian
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Paperback
Pages: 426
Edition: 2013 ed.
ISBN-13: 978-9401783378
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Civil engineering, surveying & building > General
Books > Earth & environment > Earth sciences > Meteorology > General
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LSN: 9401783373
Barcode: 9789401783378

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