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| Titel |
Variational assimilation of Lagrangian trajectories in the Mediterranean ocean Forecasting System |
| VerfasserIn |
J. A. U. Nilsson, S. Dobricic, N. Pinardi, P.-M. Poulain, D. Pettenuzzo |
| 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 ; 8, no. 2 ; Nr. 8, no. 2 (2012-03-30), S.249-259 |
| Datensatznummer |
250005511
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| Publikation (Nr.) |
 copernicus.org/os-8-249-2012.pdf |
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| Zusammenfassung |
| A novel method for three-dimensional variational assimilation of Lagrangian data with
a primitive-equation ocean model is proposed. The assimilation scheme was implemented in the
Mediterranean ocean Forecasting System and evaluated for a 4-month period. Four experiments were
designed to assess the impact of trajectory assimilation on the model output, i.e. the
sea-surface height, velocity, temperature and salinity fields. It was found from the drifter and
Argo trajectory assimilation experiment that the forecast skill of surface-drifter trajectories
improved by 15 %, that of intermediate-depth float trajectories by 20 %, and moreover, that the
forecasted sea-surface height fields improved locally by 5 % compared to satellite data, while
the quality of the temperature and salinity fields remained at previous levels. In conclusion, the
addition of Lagrangian trajectory assimilation proved to reduce the uncertainties in the model
fields, thus yielding a higher accuracy of the ocean forecasts. |
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