Data Assimilation: Tools for Modelling the Ocean in a Global Change Perspective

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 understanding the role of the ocean in a global change perspective. This text focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategies of model development and the design of observational data for assimilation.