Description
Book SynopsisNumerical 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 MÃtÃo-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 fl
Trade Review"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
Table of ContentsForeword 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.
