Incluye bibliografía e índice: páginas 241-247

1. Dynamics and data assimilation in oceanography.. 2. Assimilation of sea surface temperature data in a numerical ocean circulation model. A study of the water mass formation.. 3. A sensitivity analysis of variational data assimilation.. 4. Optimal interpolation in a model of the Azores current in 1986-88.. 5. Mathematical visualisation of the northern Bering sea's summer ecohydrodynamics.. 6. The northern levantine sea circulation based on combined analyses of CTD and ADCP data.. 7. Extended kalman filtering for vortex systems: an example of observing-system design.. 8. Perspectives on advanced data assimilation in strongly nonlinear systems.. 9. Using adjoint models for stability and predictability analysis.. Index

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Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Such techniques are now recognized as essential to understand the role of the ocean in a global change perspective. The book focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategy of model development, and the design of observational data for assimilation. Inglés

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