• Fills a gap in the literature for a text covering information on the methodology in short-term climate prediction
• Gives an overview of the methods of data analysis used in long-lead seasonal forecasts
• Highly illustrated; includes colour plate section
• Extensive referencing throughout the book
• Includes foreword by Professor Edward Lorenz (Massachusetts Institute of Technology)

Readership: Graduates and researchers in Meteorology, Atmospheric Science, Geoscience, Mathematics, Statistics, and Physics

Huug van den Dool, Principal Scientist, CPC and Adjunct Professor, University of Maryland

"Thoughtful, original, and worthy of serious consideration" - Daniel S. Wilks, Professor of Atmospheric Science in the Department of Earth & Atmospheric Sciences at Cornell University in Ithaca, New York

Professor Edward Lorenz (Massachusetts Institute of Technology): Foreword
Preface
1: Introduction
2: Background on orthogonal functions and covariance
3: Empirical wave propagation
4: Teleconnections
5: Empirical orthogonal functions
6: Degrees of freedom
7: Analogues
8: Methods in short-term climate prediction
9: The practice of short-term climate prediction
10: Conclusion
References
Index