Numerical Weather and Climate Prediction

Numerical Weather and Climate Prediction

by Thomas Tomkins Warner
     
 

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ISBN-10: 0521513898

ISBN-13: 9780521513890

Pub. Date: 12/02/2010

Publisher: Cambridge University Press

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

Overview

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.

Product Details

ISBN-13:
9780521513890
Publisher:
Cambridge University Press
Publication date:
12/02/2010
Edition description:
New Edition
Pages:
548
Product dimensions:
7.50(w) x 9.70(h) x 1.20(d)

Table of Contents

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.

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