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Statistical Analysis in Climate Research

$92.00 USD

  • Date Published: January 2005
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511037535

$ 92.00 USD
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About the Authors
  • Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate 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.

    • Uses a wealth of real-world examples
    • Self contained, includes introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists
    • The only source presently available that contains a complete description of the full range pattern analysis techniques currently used in climate research
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    Reviews & endorsements

    ' … this book … should form the centrepiece of the climate analyst's reference shelf'. Robert E. Livezey, Nature

    ' … an excellent manual for a broad group of applied statisticians.' World Meteorological Organization

    ' … an extremely interesting, enlightening and thought provoking read … I can thoroughly recommend this book to all climate researchers for whom statistics play a central role in research. This publication would also serve extremely well as a text for advanced courses in climatology, meteorology, atmospheric science and oceanography.' International Journal of Climatology

    '… an excellent addition to the subject literature and I can imagine its being a valuable library resource in support of graduate dissertation work.' Stephen Dorling, Geography and Environmental Science

    '… for climatologists dabbling in statistics, I would call this an essential text.' Journal of the American Statistical Association

    'This single book provides climatologists - whether they work in modeling or in measuring, whether they are professionals seeking references or students starting to learn - with what they need to know about statistical analysis' Computers and Geosciences

    '… a useful starting point for any mathematician who wishes to learn more about climate research.' Dr David B. Stephenson, Mathematics Today

    '… a wonderful reference to better understand the state of the art of climatological modeling.' Jörg Matschullat, Environmental Geology

    '[readers] will gain new insights … and will certainly get a lot of new ideas.' Meteorologische Zeitschrift

    ' … certainly excellent value for your money …' Computers & Geosciences

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    Product details

    • Date Published: January 2005
    • format: Adobe eBook Reader
    • isbn: 9780511037535
    • contains: 221 b/w illus. 39 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    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.

  • Authors

    Hans von Storch, Universität Hamburg
    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, University of Victoria, British Columbia
    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.

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