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Estimation of systematic error in an equatorial ocean model using data assimilation

Martin, M. J., Bell, M. J. and Nichols, N. K. (2002) Estimation of systematic error in an equatorial ocean model using data assimilation. International Journal for Numerical Methods in Fluids, 40 (3-4). pp. 435-444. ISSN 0271-2091

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To link to this article DOI: 10.1002/fld.298

Abstract/Summary

Assimilation of temperature observations into an ocean model near the equator often results in a dynamically unbalanced state with unrealistic overturning circulations. The way in which these circulations arise from systematic errors in the model or its forcing is discussed. A scheme is proposed, based on the theory of state augmentation, which uses the departures of the model state from the observations to update slowly evolving bias fields. Results are summarized from an experiment applying this bias correction scheme to an ocean general circulation model. They show that the method produces more balanced analyses and a better fit to the temperature observations.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical and Physical Sciences > Department of Meteorology
Faculty of Science > School of Mathematical and Physical Sciences > Department of Mathematics and Statistics
ID Code:27470
Uncontrolled Keywords:data assimilation, ocean model, systematic model error
Publisher:Wiley

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