Approximate iterative methods for variational data assimilation
โ Scribed by A. S. Lawless; S. Gratton; N. K. Nichols
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 105 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0271-2091
- DOI
- 10.1002/fld.851
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In the past decade the variational method has been successfully applied in data assimilation problems for atmospheric chemistry models. In 4D-var data assimilation, a minimization algorithm is used to find the set of control variables which minimizes the weighted least squares distance between model
A parameter-free variational iterative method is proposed for scattering problems. The present method yields results that are far better, in convergence, stability and precision, than any other momentum space method. Accurate result is obtained for the atomic exponential (Yukawa) potential with an e