Data assimilation refers to the process of combining different sources of data to create a more accurate and complete representation of a system or phenomenon. It involves merging observed data with models or simulations to make informed conclusions or predictions. In simple terms, it is like bringing together various pieces of information to get a clearer understanding of what is happening.
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