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| Titel |
Study of the combined effects of data assimilation and grid nesting in ocean models – application to the Gulf of Lions |
| VerfasserIn |
L. Vandenbulcke, A. Barth, M. Rixen, A. Alvera-Azcárate, Z. Ben Bouallegue, J. M. Beckers |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 2, no. 2 ; Nr. 2, no. 2 (2006-10-31), S.213-222 |
| Datensatznummer |
250000516
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| Publikation (Nr.) |
 copernicus.org/os-2-213-2006.pdf |
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| Zusammenfassung |
| Modern operational ocean forecasting systems routinely use data assimilation
techniques in order to take observations into account in the hydrodynamic
model. Moreover, as end users require higher and higher resolution
predictions, especially in coastal zones, it is now common to run nested
models, where the coastal model gets its open-sea boundary conditions from a
low-resolution global model. This configuration is used in the
"Mediterranean Forecasting System: Towards environmental predictions"
(MFSTEP) project. A global model covering the whole Mediterranean Sea is run
weekly, performing 1 week of hindcast and a 10-day forecast. Regional models,
using different codes and covering different areas, then use this forecast to
implement boundary conditions. Local models in turn use the regional model
forecasts for their own boundary conditions. This nested system has proven to
be a viable and efficient system to achieve high-resolution weekly forecasts.
However, when observations are available in some coastal zone, it remains
unclear whether it is better to assimilate them in the global or local model.
We perform twin experiments and assimilate observations in the global or in
the local model, or in both of them together. We show that, when interested
in the local models forecast and provided the global model fields are
approximately correct, the best results are obtained when assimilating
observations in the local model. |
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