A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (editor) / Bessière, Hélène (author) / Roux, Hélène (author) / Le Dimet, François‐Xavier (author) / Dartus, Denis (author)
2010-11-01
53 pages
Article/Chapter (Book)
Electronic Resource
English
Inverse Methodology for Coastal Wave Data Assimilation
| British Library Conference Proceedings | 2007
| Wiley | 2010