Research Article
Formulations for Estimating Spatial Variations of Analysis Error Variance to Improve Multiscale and Multistep Variational Data Assimilation
Table 6
As in Table
5 but for the two-dimensional case in Figure
12 where the third set of innovations is used without periodic extension.
| Experiment | | ā | ā | Final |
| SE | 0.808 | 0.453 | 0.176 | 0.078 at | TEe with RE() = 0.462 | 0.509 | 0.179 | 0.136 | 0.134 at | TEa with RE() = 0.305 | 0.497 | 0.184 | 0.146 | 0.140 at | TEb with RE() = 0.258 | 0.495 | 0.179 | 0.135 | 0.127 at | TEc with RE() = 0.240 | 0.473 | 0.157 | 0.103 | 0.101 at |
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