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EbookBell Team
4.4
32 reviewsThe 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; and theoretical and practical exercises, some of which include solutions.
Audience: This book is intended for anyone with a basic mathematics and physics background who is interested in numerical weather prediction, with a specific interest in any aspect of NWP, and in learning fundamentals of atmospheric dynamics. The audience also includes other mathematicians and physicists, students, researchers, teachers, and engineers.
Contents: 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