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This book reviews the theory and applications of the normal-mode
functions in numerical weather prediction and weather and climate
dynamics. The normal-mode functions, the eigensolutions of the
linearized primitive equations describing the evolution of
atmospheric winds and mass variables, have been used for a long
time. They have played an important role in the development of data
assimilation schemes and the initialization of numerical weather
prediction models. Chapters also present how the normal modes can
be applied to many theoretical and numerical problems in the
atmospheric sciences, such as equatorial wave dynamics, baroclinic
instability, energy transfers, and predictability across scales.
This book reviews the theory and applications of the normal-mode
functions in numerical weather prediction and weather and climate
dynamics. The normal-mode functions, the eigensolutions of the
linearized primitive equations describing the evolution of
atmospheric winds and mass variables, have been used for a long
time. They have played an important role in the development of data
assimilation schemes and the initialization of numerical weather
prediction models. Chapters also present how the normal modes can
be applied to many theoretical and numerical problems in the
atmospheric sciences, such as equatorial wave dynamics, baroclinic
instability, energy transfers, and predictability across scales.
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