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Data assimilation: mathematical concepts and instructive examples / / by Rodolfo Guzzi



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Autore: Guzzi Rodolfo Visualizza persona
Titolo: Data assimilation: mathematical concepts and instructive examples / / by Rodolfo Guzzi Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (140 p.)
Disciplina: 519.5
Soggetto topico: Computer simulation
Physical geography
Mathematical physics
Environmental sciences
Water quality
Water - Pollution
Simulation and Modeling
Earth System Sciences
Theoretical, Mathematical and Computational Physics
Environmental Science and Engineering
Water Quality/Water Pollution
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
Nota di contenuto: Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.
Sommario/riassunto: 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.
Titolo autorizzato: Data Assimilation: Mathematical Concepts and Instructive Examples  Visualizza cluster
ISBN: 3-319-22410-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910255012503321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Earth Sciences, . 2191-5369