An Introduction to Global Spectral Modeling
Krishnamurti, T.N
An Introduction to Global Spectral Modeling ( 2nd Revised and Enlarged Edition) - 2nd ed - New York ; London : Springer, 2006. - 317p.,
CONTENTS:
Front Matter
Pages i-ix
PDF
Introduction
Pages 1-3
An Introduction to Finite Differencing
Pages 4-39
Time-Differencing Schemes
Pages 40-59
What Is a Spectral Model?
Pages 60-64
Lower-Order Spectral Model
Pages 65-75
Mathematical Aspects of Spectral Models
Pages 76-111
Multilevel Global Spectral Model
Pages 112-145
Physical Processes
Pages 146-191
Initialization Procedures
Pages 192-212
Spectral Energetics
Pages 213-251
Limited Area Spectral Model
Pages 252-262
Ensemble Forecasting
Pages 263-294
Adaptive Observational Strategies
Pages 295-302
Back Matter
Pages 303-320
his is an introductory textbook on global spectral modeling designed for senior-level undergraduates and possibly for first-year graduate students. This text starts with an introduction to elementary finite-difference methods and moves on towards the gradual description of sophisticated dynamical and physical models in spherical coordinates. Computational aspects of the spectral transform method, the planetary boundary layer physics, the physics of precipitation processes in large-scale models, the radiative transfer including effects of diagnostic clouds and diurnal cycle, the surface energy balance over land and ocean, and the treatment of mountains are some issues that are addressed. The topic of model initialization includes the treatment of normal modes and physical processes. A concluding chapter covers the spectral energetics as a diagnostic tool for model evaluation. This revised second edition of the text also includes three additional chapters. Chapter 11 deals with the formulation of a regional spectral model for mesoscale modeling which uses a double Fourier expansion of data and model equations for its transform. Chapter 12 deals with ensemble modeling. This is a new and important area for numerical weather and climate prediction. Finally, yet another new area that has to do with adaptive observational strategies is included as Chapter 13. It foretells where data deficiencies may reside in model from an exploratory ensemble run of experiments and the spread of such forecasts.
978-0387302546
Global Spectral
Numerical weather forecasting; Spectral theory (Mathematics);
551.634 / KRI
An Introduction to Global Spectral Modeling ( 2nd Revised and Enlarged Edition) - 2nd ed - New York ; London : Springer, 2006. - 317p.,
CONTENTS:
Front Matter
Pages i-ix
Introduction
Pages 1-3
An Introduction to Finite Differencing
Pages 4-39
Time-Differencing Schemes
Pages 40-59
What Is a Spectral Model?
Pages 60-64
Lower-Order Spectral Model
Pages 65-75
Mathematical Aspects of Spectral Models
Pages 76-111
Multilevel Global Spectral Model
Pages 112-145
Physical Processes
Pages 146-191
Initialization Procedures
Pages 192-212
Spectral Energetics
Pages 213-251
Limited Area Spectral Model
Pages 252-262
Ensemble Forecasting
Pages 263-294
Adaptive Observational Strategies
Pages 295-302
Back Matter
Pages 303-320
his is an introductory textbook on global spectral modeling designed for senior-level undergraduates and possibly for first-year graduate students. This text starts with an introduction to elementary finite-difference methods and moves on towards the gradual description of sophisticated dynamical and physical models in spherical coordinates. Computational aspects of the spectral transform method, the planetary boundary layer physics, the physics of precipitation processes in large-scale models, the radiative transfer including effects of diagnostic clouds and diurnal cycle, the surface energy balance over land and ocean, and the treatment of mountains are some issues that are addressed. The topic of model initialization includes the treatment of normal modes and physical processes. A concluding chapter covers the spectral energetics as a diagnostic tool for model evaluation. This revised second edition of the text also includes three additional chapters. Chapter 11 deals with the formulation of a regional spectral model for mesoscale modeling which uses a double Fourier expansion of data and model equations for its transform. Chapter 12 deals with ensemble modeling. This is a new and important area for numerical weather and climate prediction. Finally, yet another new area that has to do with adaptive observational strategies is included as Chapter 13. It foretells where data deficiencies may reside in model from an exploratory ensemble run of experiments and the spread of such forecasts.
978-0387302546
Global Spectral
Numerical weather forecasting; Spectral theory (Mathematics);
551.634 / KRI