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| Titel |
An ETKF approach for initial state and parameter estimation in ice sheet modelling |
| VerfasserIn |
B. Bonan, M. Nodet, C. Ritz, V. Peyaud |
| 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 ; 21, no. 2 ; Nr. 21, no. 2 (2014-04-25), S.569-582 |
| Datensatznummer |
250120914
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| Publikation (Nr.) |
 copernicus.org/npg-21-569-2014.pdf |
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| Zusammenfassung |
| Estimating the contribution
of Antarctica and Greenland to sea-level rise is a hot topic in glaciology.
Good estimates rely on our ability to run a precisely calibrated ice sheet
evolution model starting from a reliable initial state. Data assimilation
aims to provide an answer to this problem by combining the model equations
with observations. In this paper we aim to study a state-of-the-art ensemble
Kalman filter (ETKF) to address this problem. This method is implemented and
validated in the twin experiments framework for a shallow ice flowline model
of ice dynamics. The results are very encouraging, as they show a good
convergence of the ETKF (with localisation and inflation), even for
small-sized ensembles. |
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