Abstract
For more than a decade, the Ocean Circulation and Prediction Team at LEGOS, Toulouse, has been developing data assimilation methods and conducting data assimilation experiments in various basins of the World Ocean, and in particular in the Mediterranean. Our aims are to study the feasibility of multivariate control of a model trajectory, and to characterize the predictability of the general circulation, seasonal and interannual variability mesoscale eddies, meanders, sub-basin-scale gyres, and response to wind. This chapter deals with the design and modus operandi of a practical algorithm for data assimilation and application to the Mediterranean.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
De Mey, P., Benkiran, M. (2002). A Multivariate Reduced-order Optimal Interpolation Method and its Application to the Mediterranean Basin-scale Circulation. In: Pinardi, N., Woods, J. (eds) Ocean Forecasting. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-22648-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-662-22648-3_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08754-7
Online ISBN: 978-3-662-22648-3
eBook Packages: Springer Book Archive