An interdisciplinary ocean prediction system: Assimilation strategies ana structured data models

Abstract An overview of ongoing research efforts for regional nowcasts, forecasts and hindcasts of physical, biogeochemical and acoustical fields is given. The estimation of oceanic fields is carried out using a modular and flexible system approach, intended to optimize data and model contact, facilitating a unified approach to interdisciplinary research. Recent developments in structured data models are presented, and generic and robust methods to combine structured data models, data streams and model fields, based upon suboptimal interpolation schemes are examined in the framework of data assimilation and dynamical interpolation.

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