Academic Press 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. Review A comprehensive review of practical meteorological data assimilation From the Back Cover A comprehensive review of practical meteorological data assimilation. 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 by showing together satellite observation of hurricanes. Key Features 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) About the author Xiaolei Zou s research interest is in atmospheric data assimilation. She developed a full-physics global four-dimensional variational data assimilation (4D-Var) system for the NCEP medium-range forecast model, a full-physics regional 4D-Var system for the PSU/NCAR mesoscale model, and another regional 4D-Var system for the coupled ocean/atmosphere mesoscale prediction system. Dr. Zou has pioneered and conducted research in the variational assimilation and quality assurance of space-based Global Positioning System radio occultation, satellite microwave and infrared brightness temperatures, multisensor surface rainfall, total ozone mapping spectrometer ozone, and airborne Doppler radar data for hurricanes. She has published over 180 papers in scientific journals and has been a fellow of the American Meteorological Society since 2008. She was a scientist at NCAR, United States (199397), a professor at the Florida State University, United States (19972014), a research professor at the University of Maryland, United States (201419), and is currently a distinguished visiting professor at Nanjing University of Information and Science and Technology (NUIST), China. About the Author Xiaolei Zou’s research interest is in atmospheric data assimilation. She developed a full-physics global four-dimensional variational data assimilation (4D-Var) system for the NCEP medium-range forecast model, a full-physics regional 4D-Var system for the PSU/NCAR mesoscale model, and another regional 4D-Var system for the coupled ocean/atmosphere mesoscale prediction system. Dr. Zou has pioneered and conducted research in the variational assimilation and quality assurance of space-based Global Positioning System radio occultation, satellite microwave and infrared brightness temperatures, multisensor surface rainfall, total ozone mapping spectrometer ozone, and airborne Doppler radar data for hurricanes. She has published over 180 papers in scientific journals and has been a fellow of the American Meteorological Society since 2008. She was a scientist at NCAR, United States (1993–97), a professor at the Florida State University, United States (1997–2014), a research professor at the University of Maryland, United States (201