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Fundamentals of Numerical Weather Prediction

Fundamentals of Numerical Weather Prediction

$85.00 (Z)

textbook
  • Date Published: January 2012
  • availability: In stock
  • format: Hardback
  • isbn: 9781107001039

$85.00 (Z)
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About the Authors
  • Numerical models have become essential tools in environmental science, particularly in weather forecasting and climate prediction. This book provides a comprehensive overview of the techniques used in these fields, with emphasis on the design of the most recent numerical models of the atmosphere. It presents a short history of numerical weather prediction and its evolution, before describing the various model equations and how to solve them numerically. It outlines the main elements of a meteorological forecast suite, and the theory is illustrated throughout with practical examples of operational models and parameterizations of physical processes. This book is founded on the author's many years of experience, as a scientist at Météo-France and teaching university-level courses. It is a practical and accessible textbook for graduate courses and a handy resource for researchers and professionals in atmospheric physics, meteorology and climatology, as well as the related disciplines of fluid dynamics, hydrology and oceanography.

    • Provides step-by-step explanations for realistic design of models of the atmosphere, enabling students to quickly gain necessary skills and put them into practice
    • Includes an appendix devoted to two different, modern, non-hydrostatic models (AROME and WRF/ARW), providing cutting-edge methods for mesoscale forecasting
    • Contains an extensive reading list enabling students to further explore the subjects covered in the book
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    Reviews & endorsements

    "The present book is a good and very useful review of techniques and methods..provides interesting historical information...clearly organized, well written, and beautifully illustrated...There is also much to find, learn, and enjoy in this book for specialists in fluid dynamics, meteorologists, applied mathematicians, and other researchers interested in this area." - Yuri N. Skiba, Mathematical Reviews

    "The topic is treated in full mathematical detail on the advanced undergraduate level and above…The text is clearly written and the line of thought is easy to follow…This book deserves a recommendation both for advanced students of meteorology and as a reference for experts in the field." - Manuel Vogel, Contemporary Physics

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    Product details

    • Date Published: January 2012
    • format: Hardback
    • isbn: 9781107001039
    • length: 368 pages
    • dimensions: 254 x 195 x 21 mm
    • weight: 0.94kg
    • contains: 75 b/w illus. 3 tables
    • availability: In stock
  • Table of Contents

    Foreword to the French edition
    Foreword to the English edition
    Preface
    Acknowledgements
    List of symbols
    1. Half a century of numerical weather prediction
    2. Weather prediction equations
    3. Finite differences
    4. Spectral methods
    5. The effects of discretization
    6. Barotropic models
    7. Baroclinic model equations
    8. Some baroclinic models
    9. Physical parameterizations
    10. Operational forecasting
    Appendix A. Examples of non-hydrostatic models
    Further reading
    References
    Index.

  • Author

    Jean Coiffier
    Jean Coiffier is now retired from Météo-France, where he was Ingénieur en Chef des Ponts et Chaussées, and is a member of the Société Météorologique de France. His involvement in meteorological science began in 1968 at the new Algerian Meteorological Service, implementing elements of a modest meteorological forecast suite on a small computer, before joining the Direction de la Météorologie Nationale (later Météo-France) where he took part in the development and implementation of operational models. In 1989 he became the head of the General Forecast Office. He worked there until his retirement, also giving regular lectures on numerical weather prediction to students of the École Nationale de la Météorologie and training courses to professional forecasters. He also played an active role in realising Computed Aided Learning modules devoted to numerical modelling and forecasting methods.

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