Data Assimilation (DA) refers to the methods for merging observed (generally sparse and noisy) information into the numerical model. Good assimilations make the modeled state more consistent with the observations. Effective data assimilation systems tend to make forecasts more accurate within the ability of the model. In this work we discuss some computational efforts towards the development of parallel three dimensional data assimilation scheme, based on the oceanographic 3D‐VAR assimilation scheme, named OCEANVAR.

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