## Abstract The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjointβDAS) makes feasible the evaluation of the local sensitivity of a model forecast aspect with respect to a large number of parameters in the DAS. In this study it is shown that
An adaptive estimation of forecast error covariance parameters for Kalman filtering data assimilation
β Scribed by Xiaogu Zheng
- Publisher
- Springer-Verlag
- Year
- 2009
- Tongue
- English
- Weight
- 287 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0256-1530
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