Atmospheric Modeling, Data Assimilation and Predictability / Edition 1

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Overview

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).
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Editorial Reviews

From the Publisher
"...this book is an excellent reference for statisticians interested in dynamical systems and/or spatiotemporal processes in the environment." TECHNOMETRICS, Christopher K. Wikle
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Product Details

  • ISBN-13: 9780521796293
  • Publisher: Cambridge University Press
  • Publication date: 4/28/2013
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 364
  • Product dimensions: 6.85 (w) x 9.72 (h) x 0.75 (d)

Meet the Author

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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Table of 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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