Some theoretical problems on variational data assimilation
β Scribed by Jia-jun Teng; Gui Zhang; Si-xun Huang
- Publisher
- Springer
- Year
- 2007
- Tongue
- English
- Weight
- 233 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0253-4827
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π 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
Numerical weather prediction (NWP) centres use numerical models of the atmospheric flow to forecast future weather states from an estimate of the current state. Variational data assimilation (VAR) is used commonly to determine an optimal state estimate that miminizes the errors between observations