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This 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.
This 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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