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Data Assimilation Methodology
This chapter contains sections titled:
Representation of the system
Taking errors into account
Simplified approach to optimum static estimation theory
Generalization in the multidimensional case
The different data assimilation techniques
Sequential assimilation method: the Kalman filter
Extension to non‐linear models: the extended Kalman filter
Assessment of the Kalman filter
Variational methods
Discreet formulation of the cost function: the 3D‐VAR
General variational formalism: the 4D‐VAR
Continuous formulation of the cost function
Principle of automatic differentiation
Summary of variational methods
A complete application example: the Burgers equation
Feedback on the notion of a model and the need for calibration
Bibliography
Data Assimilation Methodology
This chapter contains sections titled:
Representation of the system
Taking errors into account
Simplified approach to optimum static estimation theory
Generalization in the multidimensional case
The different data assimilation techniques
Sequential assimilation method: the Kalman filter
Extension to non‐linear models: the extended Kalman filter
Assessment of the Kalman filter
Variational methods
Discreet formulation of the cost function: the 3D‐VAR
General variational formalism: the 4D‐VAR
Continuous formulation of the cost function
Principle of automatic differentiation
Summary of variational methods
A complete application example: the Burgers equation
Feedback on the notion of a model and the need for calibration
Bibliography
Data Assimilation Methodology
Tanguy, Jean‐Michel (Herausgeber:in) / Bessière, Hélène (Autor:in) / Roux, Hélène (Autor:in) / Le Dimet, François‐Xavier (Autor:in) / Dartus, Denis (Autor:in)
01.11.2010
53 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Inverse Methodology for Coastal Wave Data Assimilation
British Library Conference Proceedings | 2007
|Wiley | 2010
|