ENGLISH

Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications

Book information

Publisher
Cambridge University Press
Year
2006
ISBN
9780521854245, 0521854245
Open Library ID
OL7766824M
Language
english
Format
RAR
Filesize
8 MB (8737030 bytes)
Pages
384\0
Topic
Physics
Library
avaxhome.ws
Time added
2010-05-31 15:29:46

Description

The problems of making inferences about the natural world from noisy observations and imperfect theories occur in almost all scientific disciplines. This book addresses these problems using examples taken from geophysical fluid dynamics. It focuses on discrete formulations, both static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and statistical ideas, the book guides the reader through a range of inference tools including the singular value decomposition, Gauss-Markov and minimum variance estimates, Kalman filters and related smoothers, and adjoint (Lagrange multiplier) methods. The final chapters discuss a variety of practical applications to geophysical flow problems. Discrete Inverse and State Estimation Problems is an ideal introduction to the topic for graduate students and researchers in oceanography, meteorology, climate dynamics, and geophysical fluid dynamics. It is also accessible to a wider scientific audience; the only prerequisite is an understanding of linear algebra.

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