Atmospheric Modeling, Data Assimilation and Predictability

Eugenia Kalnay

• Publisher: Cambridge University Press
• Year: 2002
• Print ISBN: 9780521796293
• eBook ISBN: 9780511074738
• Topic: Physical Sciences
• Subtopic: Meteorology & Climatology

This comprehensive text and reference work on numerical weather prediction, first published in 2002, covers 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 science known as data assimilation). Finally, this book 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 this book, which can also form the basis of one or more graduate-level courses.

Table of contents

• Cover
• Half-title
• Title
• Copyright
• Dedication
• Contents
• Foreword
• Acknowledgements
• Abbreviations
• Variables
• 1 Historical overview of numerical weather prediction
• 2 The continuous equations
• 3 Numerical discretization of the equations of motion
• 4 Introduction to the parameterization of subgrid-scale physical processes
• 5 Data assimilation
• 6 Atmospheric predictability and ensemble orecasting
• Appendix A The early history of NWP
• Appendix B Coding and checking the tangent linear and the adjoint models
• Appendix C Post-processing of numerical model output to obtain station weather forecasts
• References
• Index