Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed ...
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Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints.
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Add this copy of Dynamic Data Assimilation: a Least Squares Approach to cart. $130.49, good condition, Sold by FirstClassBooks rated 4.0 out of 5 stars, ships from Little Rock, AR, UNITED STATES, published 2006 by Cambridge University Press.
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Volume 104. This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In fair condition, suitable as a study copy. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1200grams, ISBN: 9780521851558.
Add this copy of Dynamic Data Assimilation: a Least Squares Approach to cart. $131.35, good condition, Sold by Anybook rated 5.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 2006 by Cambridge University Press.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In good all round condition. No dust jacket. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1150grams, ISBN: 0521851556.
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New. Print on demand Contains: Tables, Unspecified. Encyclopedia of Mathematics and its Applications . 29 tables 208 exercises. Intended for professional and scholarly audience.
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New. Contains: Tables, Unspecified. Encyclopedia of Mathematics and its Applications . 29 tables 208 exercises. Intended for professional and scholarly audience.
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New. Contains: Tables, Unspecified. Encyclopedia of Mathematics and its Applications . 29 tables 208 exercises. Intended for professional and scholarly audience.
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New. A basic one-stop reference for graduate students and researchers. Series Editor(s): Rota, G. -C.; Doran, B.; Ismail, M.; Lam, T. Y.; Wutwak, E.; Flajolet, Philippe; Lutwak, E. Series: Encyclopedia of Mathematics and Its Applications. Num Pages: 680 pages, 29 tables 208 exercises. BIC Classification: PBWH; RBP. Category: (P) Professional & Vocational. Dimension: 230 x 164 x 47. Weight in Grams: 1176. 2006. Illustrated. hardcover.....We ship daily from our Bookshop.