The use of ensemble Kalman filter for the planning of adaptive observations
β Scribed by E. G. Klimova
- Book ID
- 111508502
- Publisher
- Allerton Press, Inc.
- Year
- 2011
- Tongue
- English
- Weight
- 148 KB
- Volume
- 36
- Category
- Article
- ISSN
- 1068-3739
No coin nor oath required. For personal study only.
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## Abstract The ensemble Kalman filter (EnKF) can be interpreted in the more general context of linear regression theory. The recursive filter equations are equivalent to the normal equations for a weighted leastβsquares estimate that minimizes a quadratic functional. Solving the normal equations i
## Abstract Ensemble Kalman Filter (EnKF) may have a longer spinβup time to reach its asymptotic level of accuracy than the corresponding spinβup time in variational methods (3DβVar or 4DβVar). During the spinβup EnKF has to fulfill two independent requirements, namely that the ensemble mean be clo