This book provides a comprehensive overview of numerical weather prediction (NWP) focusing on the application of the spectral method in NWP models. The author illustrates the use of the spectral method in theory as well as in its application to building a full prototypical spectral NWP model, from the formulation of continuous model equations through development of their discretized forms to coded statements of the model.
The author describes the implementation of a specific model - PEAK (Primitive-Equation Atmospheric Research Model Kernel) - to illustrate the steps needed to construct a global spectral NWP model. The book brings together all the spectral, time, and vertical discretization aspects relevant for such a model.
Spectral Numerical Weather Prediction Models provides readers with:
Information necessary to construct spectral NWP models.
A self-contained, well-documented, coded spectral NWP model.
Theoretical and practical exercises, some of which include solutions.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 251 mm
Breite: 175 mm
Dicke: 28 mm
Gewicht
ISBN-13
978-1-61197-198-9 (9781611971989)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Martin Ehrendorfer has worked on atmospheric dynamics and numerical models for more than two decades at the University of Vienna, the University of Innsbruck, the University of Reading, the National Centre for Atmospheric Research and the European Centre for Medium-Range Weather Forecasts.
Preface
Acknowledgments
List of Figures
List of Tables
List of Algorithms
Part I: Atmospheric Dynamical Models: Chapter 1: Introduction
Chapter 2: Governing Atmospheric Dynamics
Chapter 3: The Primitive Equations
Chapter 4: The Shallow-Water Model
Chapter 5: The Barotropic Vorticity Equation
Chapter 6: Balanced Flow
Part II: Spectral Numerical Models: Chapter 7: The Spectral Method
Chapter 8: Vertical Discretization
Chapter 9: Time Integration
Chapter 10: Code Structure of PEAK
Chapter 11: Experimentation with PEAK
Chapter 12: Barotropic PEAK Configurations
Part III: Appendices: Appendix A: Tensor Analysis
Appendix B: Spectral Basis Functions
Appendix C: The PEAK Model Code
Afterword
Bibliography
Index.