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Modal View of Atmospheric Variability Applications of Normal-Mode Function Decomposition in Weather and Climate Research
Title
Modal View of Atmospheric Variability [electronic resource] : Applications of Normal-Mode Function Decomposition in Weather and Climate Research / edited by Nedjeljka Žagar, Joseph Tribbia.
ISBN
9783030609634
Edition
1st ed. 2020.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2020.
Physical Description
1 online resource (XIII, 318 p.) 114 illus., 50 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
December 21, 2020
Series
Mathematics of Planet Earth, 8
Contents
3D Normal Mode Functions (NMFs) Of a Global Baroclinic Atmospheric Model
Normal Mode Functions and Initialization
Normal-Mode Functions and Atmospheric Data Assimilation
3D Modal Variability and Energy Transformations On The Sphere
Generalization of Baroclinic Instability and Rossby Wave Saturation Theory
Applications to Predictions And Climate Studies.
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