Data Assimilation The Ensemble Kalman Filter /
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...
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| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
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| Online Access: | https://doi.org/10.1007/978-3-540-38301-7 |
Table of Contents:
- 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
- An ocean prediction system
- Estimation in an oil reservoir simulator.