Statistical Analysis of Climate Extremes

An accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk.

Manfred Mudelsee (Author)

9781108791465, Cambridge University Press

Paperback / softback, published 14 May 2020

210 pages, 63 b/w illus. 3 maps
22.8 x 15.3 x 1.1 cm, 0.36 kg

'This is a very important and timely book. With global warming our society is increasingly challenged by the risks associated with weather and climate extremes. In times of ever-growing amounts of data, it is essential to provide accessible knowledge and guidance on how to analyze extreme events under climate change in the presences of various sources of uncertainty and complexity. Mudelsee's book is an exceptional contribution to educate students, teachers and scientists working on the interface of climate sciences, statistics and risk analysis. Last but not least, the book serves as an excellent educational resource as it provides exercises and reading material for different kinds of applications and extreme events, such as heatwaves, floods, droughts and storms, and information on data and software.' Jana Sillmann, CICERO Center for International Climate Research, Oslo

The risks posed by climate change and its effect on climate extremes are an increasingly pressing societal problem. This book provides an accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk. The statistical analysis methods are illustrated with case studies on extremes in the three major climate variables: temperature, precipitation, and wind speed. The book also provides datasets and access to appropriate analysis software, allowing the reader to replicate the case study calculations. Providing the necessary tools to analyse climate risk, this book is invaluable for students and researchers working in the climate sciences, as well as risk analysts interested in climate extremes.

1. Introduction
2. Data
3. Methods
4. Floods and droughts
5. Heatwaves and cold spells
6. Hurricanes and other storms
Appendix A. Climate measurements
Appendix B. Natural climate archives
Appendix C. Physical climate models
Appendix D. Statistical inference
Appendix E. Numerical techniques
Appendix F. Data and software
Appendix G. List of symbols and abbreviations
References
Index.

Subject Areas: Environmental monitoring [TQD], Mechanics of fluids [TGMF], Natural disasters [RNR], Climate change [RNPG], Meteorology & climatology [RBP], Fluid mechanics [PHDF]