Data Assimilation The Ensemble Kalman Filter /

• Κύριος συγγραφέας: Evensen, Geir (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Θέματα: Earth sciences.; Mathematical models.; Probabilities.; Physics.; Applied mathematics.; Engineering mathematics.; Earth Sciences.; Earth Sciences, general.; Probability Theory and Stochastic Processes.; Theoretical, Mathematical and Computational Physics.; Mathematical Modeling and Industrial Mathematics.; Appl.Mathematics/Computational Methods of Engineering.

Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filt...

Πίνακας περιεχομένων:

• Statistical definitions
• Analysis scheme
• Sequential data assimilation
• Variational inverse problems
• Nonlinear variational inverse problems
• Probabilistic formulation
• Generalized Inverse
• Ensemble methods
• Statistical optimization
• Sampling strategies for the EnKF
• Model errors
• Square Root Analysis schemes
• Rank issues
• Spurious correlations, localization, and inflation
• An ocean prediction system
• Estimation in an oil reservoir simulator.