Description
Atmospheric Satellite Observations: Variation Assimilation and Quality Assurance provides an invaluable reference for satellite data assimilation. Topics covered include linear algebra, frequently used statistical methods, the interpolation role of function fitting, filtering when dealing with real observations, minimization in data assimilation systems, 3D-Var and the inverse problem it solves, 4D-Var and adjoint techniques, and much more. The book concludes with satellite observation of hurricanes.- Contains mathematical concepts from several branches of study, including calculus, linear algebra, probability theory, functional analysis, and minimization- Illustrates quality assurance for satellite observations using real data examples- Includes a dedicated chapter on how different satellite instruments see hurricanes- Reviews theory, system development, and the numerical experiments of three- and four-dimensional variational data assimilation (3D-Var/4D-Var)
Table of Contents
1. Introduction to Data Assimilation2. Linear Algebra and Statistics3. Interpolation4. Filtering5. Minimization6. Adjoint Models7. Microwave Temperature Sounding Observations8. Three-dimensional Variational Data Assimilation9. Four-dimensional Variational Data Assimilation10. Global Positioning System Radio Occultation Observations11. Geostationary Operational Environmental Satellite Imagers 12. Satellite Observations for Tropical Cyclones
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