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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.
List of contents
1. Statistical Indices for Diagnosing and Detecting Changes in Extremes.- 2. Statistical Methods for Nonstationary Extremes.- 3. Bayesian Methods for Nonstationary Extreme Value Analysis.-
4. Return Periods and Return Levels Under Climate Change.- 5. Multivariate Extreme Value Methods.- 6. Methods of Extreme Value Index and Tail Dependence Estimation.- 7. Stochastic Models of Climate Extremes:Theory and Observations.- 8. Methods of Projecting Future Changes in Extremes.- 9. Climate Variability and Weather Extremes: Model-Simulated and Historical Data.- 10. Uncertainties in Observed Changes in Climate Extremes.- 11. Uncertainties in Projections of Future Changes in Extremes.- 12. Global Data Sets for Analysis of Climate Extremes.- 13. Nonstationarity in Extremes and Engineering Design.- Index.
Summary
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.
Additional text
“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)
Report
"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)
