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Data assimilationmathematical concep...

Guzzi, Rodolfo.

Data assimilationmathematical concepts and instructive examples /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data assimilationby Rodolfo Guzzi.
Reminder of title:	mathematical concepts and instructive examples /
Author:	Guzzi, Rodolfo.
Published:	Cham :Springer International Publishing :2016.
Description:	viii, 135 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-22410-7
ISBN:	9783319224107$q(electronic bk.)

Data assimilationmathematical concepts and instructive examples /
Guzzi, Rodolfo.

Data assimilationmathematical concepts and instructive examples /[electronic resource] :by Rodolfo Guzzi. - Cham :Springer International Publishing :2016. - viii, 135 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in earth sciences,2191-5369. - SpringerBriefs in earth sciences..

Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.

This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time. The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first methods to the most recent as those developed under the Monte Carlo methods. The second chapter treats the representation of the physical system as an ontological basis of the problem. The third chapter deals with the classical Kalman filter, while the fourth chapter deals with the advanced methods based on recursive Bayesian Estimation. A special chapter, the fifth, deals with the possible applications, from the first Lorenz model, passing trough the biology and medicine up to planetary assimilation, mainly on Mars. This book serves both teachers and college students, and other interested parties providing the algorithms and formulas to manage the data assimilation everywhere a dynamic system is present.

ISBN: 9783319224107$q(electronic bk.)

Standard No.: 10.1007/978-3-319-22410-7doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Data assimilationmathematical concepts and instructive examples /
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