Extremes in a Changing Climate
Extremes in a Changing Climate Detection, Analysis and Uncertainty / [electronic resource] :
edited by Amir AghaKouchak, David Easterling, Kuolin Hsu, Siegfried Schubert, Soroosh Sorooshian.
- XIV, 426 p. online resource.
- Water Science and Technology Library, 65 0921-092X ; .
- Water Science and Technology Library, 65 .
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.
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.
9789400744790
10.1007/978-94-007-4479-0 doi
Earth sciences.
Climatology.
Atmospheric sciences.
Statistics.
Civil engineering.
Earth Sciences.
Atmospheric Sciences.
Climatology.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Civil Engineering.
QC851-999
551.5
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.
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.
9789400744790
10.1007/978-94-007-4479-0 doi
Earth sciences.
Climatology.
Atmospheric sciences.
Statistics.
Civil engineering.
Earth Sciences.
Atmospheric Sciences.
Climatology.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Civil Engineering.
QC851-999
551.5