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Numerical Weather and Climate Prediction

Provides a comprehensive yet accessible treatment of computer-based weather and climate prediction, for graduate students, researchers and professionals.

Thomas Tomkins Warner (Author)

9780521513890, Cambridge University Press

Hardback, published 2 December 2010

550 pages, 194 b/w illus. 20 tables 160 exercises
25 x 19.5 x 3 cm, 1.3 kg

'… gives a bird's eye view of the phenomenon of numerical weather prediction … and that view is superb … The illustrations are brilliant … A more accessible, yet unpatronising treatment you will probably struggle to find … It is such a nice read that it may even be worth a purchase for the more experienced of you. If not, [it] is nonetheless an excellent introduction to the topic …' Meteorologische Zeitschrift

This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.

Preface
List of acronyms
List of symbols
1. Introduction
2. The governing systems of equations
3. Numerical solutions to the equations
4. Physical-process parameterizations
5. Modeling surface processes
6. Model initialization
7. Ensemble methods
8. Predictability
9. Verification methods
10. Experimental design in model-based research
11. Techniques for analyzing model output
12. Operational numerical weather prediction
13. Statistical post processing of model output
14. Coupled special-applications models
15. Computational fluid-dynamics models
16. Climate modeling and downscaling
Appendix. Suggested code structure and experiments for a simple shallow-fluid model
References
Index.

Subject Areas: Mechanics of fluids [TGMF], Meteorology & climatology [RBP], Atmospheric physics [PHVJ], Fluid mechanics [PHDF]

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