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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.




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.




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.


Content:
Front Matter....Pages i-xiv
Statistical Indices for the Diagnosing and Detecting Changes in Extremes....Pages 1-14
Statistical Methods for Nonstationary Extremes....Pages 15-37
Bayesian Methods for Non-stationary Extreme Value Analysis....Pages 39-95
Return Periods and Return Levels Under Climate Change....Pages 97-114
Multivariate Extreme Value Methods....Pages 115-162
Methods of Tail Dependence Estimation....Pages 163-179
Stochastic Models of Climate Extremes: Theory and Observations....Pages 181-222
Methods of Projecting Future Changes in Extremes....Pages 223-237
Climate Variability and Weather Extremes: Model-Simulated and Historical Data....Pages 239-285
Uncertainties in Observed Changes in Climate Extremes....Pages 287-307
Uncertainties in Projections of Future Changes in Extremes....Pages 309-346
Global Data Sets for Analysis of Climate Extremes....Pages 347-361
Nonstationarity in Extremes and Engineering Design....Pages 363-417
Back Matter....Pages 419-423


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.


Content:
Front Matter....Pages i-xiv
Statistical Indices for the Diagnosing and Detecting Changes in Extremes....Pages 1-14
Statistical Methods for Nonstationary Extremes....Pages 15-37
Bayesian Methods for Non-stationary Extreme Value Analysis....Pages 39-95
Return Periods and Return Levels Under Climate Change....Pages 97-114
Multivariate Extreme Value Methods....Pages 115-162
Methods of Tail Dependence Estimation....Pages 163-179
Stochastic Models of Climate Extremes: Theory and Observations....Pages 181-222
Methods of Projecting Future Changes in Extremes....Pages 223-237
Climate Variability and Weather Extremes: Model-Simulated and Historical Data....Pages 239-285
Uncertainties in Observed Changes in Climate Extremes....Pages 287-307
Uncertainties in Projections of Future Changes in Extremes....Pages 309-346
Global Data Sets for Analysis of Climate Extremes....Pages 347-361
Nonstationarity in Extremes and Engineering Design....Pages 363-417
Back Matter....Pages 419-423
....
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