Research Article
Formulations for Estimating Spatial Variations of Analysis Error Variance to Improve Multiscale and Multistep Variational Data Assimilation
Table 5
As in Table
4 but for the two-dimensional case in Figure
11 where the second set of innovations is used with periodic extension.
| Experiment | | | | Final |
| SE | 0.757 | 0.364 | 0.175 | 0.069 at | TEe with RE() = 0.462 | 0.416 | 0.202 | 0.149 | 0.144 at | TEa with RE() = 0.274 | 0.411 | 0.202 | 0.143 | 0.144 at | TEb with RE() = 0.244 | 0.402 | 0.195 | 0.136 | 0.132 at | TEc with RE() = 0.165 | 0.403 | 0.179 | 0.106 | 0.103 at |
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