An Introduction to Global Spectral Modeling ( 2nd Revised and Enlarged Edition)

By:

Krishnamurti, T.N

Contributor(s):

Material type: Text

TextLanguage: English Publication details: New York ; London : Springer, 2006.Edition: 2nd edDescription: 317pISBN:

978-0387302546

Subject(s):

Contents:

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

Summary: 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.

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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.

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