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Extremes in a Changing Climate: Detection, Analysis and Uncertainty 2013 ed. [Hardback]

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  • Formāts: Hardback, 426 pages, height x width: 235x155 mm, weight: 8602 g, XIV, 426 p., 1 Hardback
  • Sērija : Water Science and Technology Library 65
  • Izdošanas datums: 24-Oct-2012
  • Izdevniecība: Springer
  • ISBN-10: 9400744781
  • ISBN-13: 9789400744783
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  • Formāts: Hardback, 426 pages, height x width: 235x155 mm, weight: 8602 g, XIV, 426 p., 1 Hardback
  • Sērija : Water Science and Technology Library 65
  • Izdošanas datums: 24-Oct-2012
  • Izdevniecība: Springer
  • ISBN-10: 9400744781
  • ISBN-13: 9789400744783
Citas grāmatas par šo tēmu:
This book presents both theoretical concepts and methodologies for detecting extremes, trend analysis, accounting for nonstationarities and uncertainties associated with extreme value analysis in a changing climate. Includes several climate case studies.

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. AudienceThe book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.

Recenzijas

This edited volume is comprised of 13 chapters emerging from a wide range of topics on detecting extremes, trend analysis and associated uncertainties with such analysis. The organization of the text makes it useful equally as a graduate textbook and as a reference book. Extremes in a Changing Climate: Detection, Analysis and Uncertainty successfully goes beyond achieving its objectives and goals, and makes for a great read. (S. E. Ahmed, Technometrics, Vol. 57 (1), February, 2015)

1 Statistical Indices for the Diagnosing and Detecting Changes in Extremes
1(14)
Xuebin Zhang
Francis W. Zwiers
2 Statistical Methods for Nonstationary Extremes
15(24)
Richard W. Katz
3 Bayesian Methods for Non-stationary Extreme Value Analysis
39(58)
Benjamin Renard
Xun Sun
Michel Lang
4 Return Periods and Return Levels Under Climate Change
97(18)
Daniel Cooley
5 Multivariate Extreme Value Methods
115(48)
Gianfausto Salvadori
Carlo De Michele
6 Methods of Tail Dependence Estimation
163(18)
Amir Agha Kouchak
Scott Sellars
Soroosh Sorooshian
7 Stochastic Models of Climate Extremes: Theory and Observations
181(42)
Philip Sura
8 Methods of Projecting Future Changes in Extremes
223(16)
Michael Wehner
9 Climate Variability and Weather Extremes: Model-Simulated and Historical Data
239(48)
Siegfried D. Schubert
Young-Kwon Lim
10 Uncertainties in Observed Changes in Climate Extremes
287(22)
Kenneth E. Kunkel
11 Uncertainties in Projections of Future Changes in Extremes
309(38)
Levi D. Brekke
Joseph J. Barsugli
12 Global Data Sets for Analysis of Climate Extremes
347(16)
David R. Easterling
13 Nonstationarity in Extremes and Engineering Design
363(56)
Dorte Jakob
Index 419