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| Titel |
On deterministic error analysis in variational data assimilation |
| VerfasserIn |
F.-X. Dimet, V. Shutyaev |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 12, no. 4 ; Nr. 12, no. 4 (2005-05-13), S.481-490 |
| Datensatznummer |
250010673
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| Publikation (Nr.) |
 copernicus.org/npg-12-481-2005.pdf |
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| Zusammenfassung |
| The problem of variational data
assimilation for a nonlinear evolution model is considered to identify
the initial condition. The equation for the error of the optimal
initial-value function through the errors of the input data is derived,
based on the Hessian of the misfit functional and
the second order
adjoint techniques. The fundamental control functions are introduced to
be used for error analysis. The sensitivity of the optimal solution to
the input data (observation and model errors, background errors) is
studied using the singular vectors of the specific response operators in
the error equation. The relation between "quality of the model" and
"quality of the prediction" via data assimilation is discussed. |
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