Data Assimilation: Mathematical Concepts and Instructive Examples

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Guzzi, Rodolfo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:SpringerBriefs in Earth Sciences,
Temas:
Computer simulation.
Physical geography.
Mathematical physics.
Environment.
Water.
Hydrology.
Computer Modelling.
Earth System Sciences.
Theoretical, Mathematical and Computational Physics.
Environmental Sciences.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Data Assimilation: Mathematical Concepts and Instructive Examples  |h [electronic resource] /  |c by Rodolfo Guzzi. 
250 |a 1st ed. 2016. 
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300 |a VIII, 135 p. 4 illus., 1 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a SpringerBriefs in Earth Sciences,  |x 2191-5377 
505 0 |a Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix. 
520 |a 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. 
650 0 |a Computer simulation. 
650 0 |a Physical geography. 
650 0 |a Mathematical physics. 
650 0 |a Environment. 
650 0 |a Water. 
650 0 |a Hydrology. 
650 1 4 |a Computer Modelling. 
650 2 4 |a Earth System Sciences. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
650 2 4 |a Environmental Sciences. 
650 2 4 |a Water. 
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950 |a Computer Science (R0) (SpringerNature-43710) 

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