## Abstract A major limitation of the Ensemble Kalman Filter (EnKF) is that the finite ensemble size introduces sampling error into the background covariances, with severe consequences for atmospheric and oceanographic applications. The negative effects of sampling error are customarily limited by
An application of Ensemble Kalman Filter in integral-balance subsurface modeling
β Scribed by Qiang Shu; Mariush W. Kemblowski; Mac McKee
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Weight
- 522 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1436-3240
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