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Extremes in a Changing Climate

Detection, Analysis and Uncertainty

  • Book
  • © 2013

Overview

Editors:
  1. Amir AghaKouchak

    1. , Dept. of Civil and Env. Engineering, University of California, Irvine, Irvine, USA

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  2. David Easterling

    1. NOAA's National Climatic Data Center, Asheville, USA

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  3. Kuolin Hsu

    1. , Dept. of Civil and Env. Engineering, University of California, Irvine, Irvine, USA

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  4. Siegfried Schubert

    1. NASA/Goddard Space Flight Center, Greenbelt, USA

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  5. Soroosh Sorooshian

    1. , Dept. Civil & Environmental Engineering, University of California, Irvine, Irvine, USA

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  • A comprehensive reference book of methodologies and approaches in extreme value analysis
  • Relevant to many graduate courses in Civil & Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences
  • Extreme events are being researched rigorously
  • Addresses challenges in climate change research

Part of the book series: Water Science and Technology Library (WSTL, volume 65)

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About this book

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.

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Keywords

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Statistical Indices for the Diagnosing and Detecting Changes in Extremes

    • Xuebin Zhang, Francis W. Zwiers
    Pages 1-14

  3. Statistical Methods for Nonstationary Extremes

    • Richard W. Katz
    Pages 15-37

  4. Bayesian Methods for Non-stationary Extreme Value Analysis

    • Benjamin Renard, Xun Sun, Michel Lang
    Pages 39-95

  5. Return Periods and Return Levels Under Climate Change

    • Daniel Cooley
    Pages 97-114

  6. Multivariate Extreme Value Methods

    • Gianfausto Salvadori, Carlo De Michele
    Pages 115-162

  7. Methods of Tail Dependence Estimation

    • Amir AghaKouchak, Scott Sellars, Soroosh Sorooshian
    Pages 163-179

  8. Stochastic Models of Climate Extremes: Theory and Observations

    • Philip Sura
    Pages 181-222

  9. Methods of Projecting Future Changes in Extremes

    • Michael Wehner
    Pages 223-237

  10. Climate Variability and Weather Extremes: Model-Simulated and Historical Data

    • Siegfried D. Schubert, Young-Kwon Lim
    Pages 239-285

  11. Uncertainties in Observed Changes in Climate Extremes

    • Kenneth E. Kunkel
    Pages 287-307

  12. Uncertainties in Projections of Future Changes in Extremes

    • Levi D. Brekke, Joseph J. Barsugli
    Pages 309-346

  13. Global Data Sets for Analysis of Climate Extremes

    • David R. Easterling
    Pages 347-361

  14. Nonstationarity in Extremes and Engineering Design

    • Dörte Jakob
    Pages 363-417

  15. Back Matter

    Pages 419-423
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Reviews

“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)

Editors and Affiliations

  • , Dept. of Civil and Env. Engineering, University of California, Irvine, Irvine, USA

    Amir AghaKouchak, Kuolin Hsu

  • NOAA's National Climatic Data Center, Asheville, USA

    David Easterling

  • NASA/Goddard Space Flight Center, Greenbelt, USA

    Siegfried Schubert

  • , Dept. Civil & Environmental Engineering, University of California, Irvine, Irvine, USA

    Soroosh Sorooshian

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