Books  Environmental Science  Climate & Climate Change 

Atmospheric Modeling, Data Assimilation and Predictability

A much-needed update in the subject of atmospheric modeling
Emphasis is on clear and intuitive descriptions of the basic concepts with simple examples and excellent schematic figures
The introductory chapter is complete in itself and can form the basis of an undergraduate course on numerical weather forecasting with use of few equations
The chapters on numerical methods, data assimilation and predictability are also stand-alone and can constitute the basis for a full graduate course

By: Eugenia Kalnay (Author)

512 pages, 86 Illus,4 tabs

Cambridge University Press

Paperback | Nov 2002 | #128071 | ISBN: 0521796296
Availability: Usually dispatched within 6 days Details
NHBS Price: £44.99 $57/€54 approx
Hardback | Dec 2002 | #128070 | ISBN: 0521791790
Out of Print Details

About this book

This comprehensive text and reference work on numerical weather prediction covers for the first time, not only methods for numerical modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer modeling including an historical overview of the subject, equations of motion and their approximations, a modern and clear description of numerical methods, and the determination of initial conditions using weather observations (an important new science known as data assimilation). Finally, Atmospheric Modeling, Data Assimilation and Predictability provides a clear discussion of the problems of predictability and chaos in dynamical systems and how they can be applied to atmospheric and oceanic systems. Professors and students in meteorology, atmospheric science, oceanography, hydrology and environmental science will find much to interest them in Atmospheric Modeling, Data Assimilation and Predictability, which can also form the basis of one or more graduate-level courses.

"[...] a frisson of excitement accompanied the rumour that Eugenia Kalnay was writing a new book. Expectations were high, since she is a renowned expert in the field. She has not disappointed us."
- Science & Technology

 


Contents

1. Historical overview
2. The continuous equations
3. Discretization of the equations
4. Introduction to the parameterizations of subgrid-scale physical processes
5. Data assimilation
6. Atmospheric predictability and ensemble forecasting

References

Appendix A. The early history of numerical weather prediction
Appendix B. List of acronyms
Appendix C. Coding and checking the linear tangent and adjoint models
Appendix D. Post processing of numerical model output to obtain station weather forecasts


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Biography

Eugenia Kalnay was awarded a Ph.D in Meteorology from the Massachusetts Institute of Technology in 1971. Following a position as Associate Professor in the same department, she became Chief of the Global Modeling and Simulation Branch at the NASA Goddard Space Flight Center (1983-1987). From 1987 to 1997 she was Director of the Environmental Modeling Center (US National Weather Service) and in 1998 was awarded the Robert E. Lowry endowed chair at the University of Oklahoma. In 1999 she became the Chair of the Department of Meteorology at the University of Maryland. Professor Kalnay is a member of the US National Academy of Engineering, is the recipient of two gold medals from the US Department of Commerce and the NASA Medal for Exceptional Scientific Achievement, and has received the Jule Charney Award from the American Meteorological Society. The author of more than 100 peer reviewed papers on numerical weather prediction, data assimilation and predictability, Professor Kalnay is a key figure in this field and has pioneered many of the essential techniques.

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