Atmospheric Satellite Observations: Variation Assimilation and Quality Assurance

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 minimizationIllustrates quality assurance for satellite observations using real data examplesIncludes a dedicated chapter on how different satellite instruments see hurricanesReviews theory, system development, and the numerical experiments of three- and four-dimensional variational data assimilation (3D-Var/4D-Var)

1. Introduction to Data Assimilation 2. Linear Algebra and Statistics 3. Interpolation 4. Filtering 5. Minimization 6. Adjoint Models 7. Microwave Temperature Sounding Observations 8. Three-dimensional Variational Data Assimilation 9. Four-dimensional Variational Data Assimilation 10. Global Positioning System Radio Occultation Observations 11. Geostationary Operational Environmental Satellite Imagers 12. Satellite Observations for Tropical Cyclones