Statistical Analysis in Climate Research

Self-contained, comprehensive book describing powerful tools in mathematical statistics that are used widely in climatological research.

Autorentext
Hans von Storch is Director of the Institute of Hydrophysics of the GKSS Research Centre in Geesthacht, Germany and a Professor at the Meteorological Institute of the University of Hamburg.Francis W. Zwiers is Chief of the Canadian Centre for Climate Modelling and Analysis, Atmospheric Environment Service, Victoria, Canada, and an Adjunct Professor at the Department of Mathematicw and Statistics of the University of Victoria.

Zusammenfassung
This comprehensive book describes the powerful tools of mathematical statistics which find wide application in climatological research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.

Inhalt
1. Introduction; Part I. Fundamentals: 2. Probability theory; 3. Distributions of climate variables; 4. Concepts in statistical inference; 5. Estimation; Part II. Confirmation and Analysis: 6. The statistical test of a hypothesis; 7. Analysis of atmospheric circulation problems; Part III. Fitting Statistical Models: 8. Regression; 9. Analysis of variance; Part IV. Time Series: 10. Time series and stochastic processes; 11. Parameters of univariate and bivariate time series; 12. Estimating covariance functions and spectra; Part V. Eigen Techniques: 13. Empirical orthogonal functions; 14. Canonical correlation analysis; 15. POP analysis; 16. Complex eigentechniques; Part VI. Other Topics: 17. Specific statistical concepts in climate research; 18. Forecast quality evaluation; Part VII. Appendices.

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