Data assimilation is a technique used in various fields, such as meteorology, oceanography, environmental science, and engineering, to integrate real-time observational data into models to improve their accuracy and predictive capabilities. The primary goal of data assimilation is to provide a better estimate of the state of a system by merging observational data with model predictions.
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