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Titel |
Better constraints on the sea-ice state using global sea-ice data assimilation |
VerfasserIn |
P. Mathiot, C. König Beatty, T. Fichefet, H. Goosse, F. Massonnet, M. Vancoppenolle |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 5, no. 6 ; Nr. 5, no. 6 (2012-12-03), S.1501-1515 |
Datensatznummer |
250002954
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Publikation (Nr.) |
copernicus.org/gmd-5-1501-2012.pdf |
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Zusammenfassung |
Short-term and decadal sea-ice prediction systems need a realistic initial
state, generally obtained using ice–ocean model simulations with data
assimilation. However, only sea-ice concentration and velocity data are
currently assimilated. In this work, an ensemble Kalman filter system is used
to assimilate observed ice concentration and freeboard (i.e. thickness of
emerged) data into a global coupled ocean–sea-ice model. The impact and
effectiveness of our data assimilation system is assessed in two steps:
firstly, through the use of synthetic data (i.e. model-generated data), and
secondly, through the assimilation of real satellite data. While ice
concentrations are available daily, freeboard data used in this study are
only available during six one-month periods spread over 2005–2007. Our
results show that the simulated Arctic and Antarctic sea-ice extents are
improved by the assimilation of synthetic ice concentration data.
Assimilation of synthetic ice freeboard data improves the simulated sea-ice
thickness field. Using real ice concentration data enhances the model realism
in both hemispheres. Assimilation of ice concentration data significantly
improves the total hemispheric sea-ice extent all year long, especially in
summer. Combining the assimilation of ice freeboard and concentration data
leads to better ice thickness, but does not further improve the ice extent.
Moreover, the improvements in sea-ice thickness due to the assimilation of
ice freeboard remain visible well beyond the assimilation periods. |
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